npm i tagui-windows


Free RPA tool by AI Singapore

by kelaberetiv

4.1.3 (see all)License:Apache-2.0TypeScript:Not Found
npm i tagui-windows


Why This | Set Up | To Use | Cheat Sheet | Developers | Tutorial | Slides | Video

TagUI is a CLI tool for digital process automation (RPA). It is maintained by AI Singapore, a government-funded initiative to build local artificial intelligence capabilities. To start, check out above tutorial, slides, or video.


  • automate Chrome visibly or headlessly
  • visual automation of websites and desktop
  • write in 20+ human languages & JavaScript
  • Chrome extension for recording web actions
  • R & Python integration for big data / AI / ML

Why This

The goal of UI (user interface) automation is to reproduce cognitive interactions that you have with websites or your desktop, so that your computer can do it for you, base on your schedule or conditions. TagUI helps you rapidly automate your repetitive or time-critical tasks - use cases include process automation, data acquisition and testing of web apps.

Read on for more info or jump right into the flow samples section to see examples of TagUI automation in natural-language-like syntax. This is a full-feature and free open-source tool, so there's nothing to upgrade to or any paid subscription. To feedback suggestions or bugs, raise an issue or email ksoh@aisingapore.org.

Click to show differences between TagUI open-source RPA and commercial RPA software **Key Strengths** - cross-platform, works on Windows, macOS, Linux - increased security as users can view source code - rapid iteration cycles in improvement of features - $0 to use, under Apache 2.0 open-source license - easy to use, thus rapid development + deployment - easy for IT policies to deploy, simply unzip and run - native integration with Python and R for AI / ML / DL - easy API calls to Azure / Amazon cognitive services

Neutral Differences

  • scripts written in 21 human languages, not flowchart

  • JavaScript for advanced scripting instead of C# / VB

  • visual and OCR based automation for desktop apps

    Key Weaknesses

  • lack of enterprise audit, control, dashboard, reporting

  • lack of SLA or 24/7 support team for incident-handling

  • lack of large development teams (easily > 30 people)

  • lack of user / developer base grown over many years

  • lack of consultancies / partners distribution network


TagUI converts your intentions in different human languages into lines of working JavaScript code that perform UI automation. Under the hood, it uses Chrome DevTools Protocol, Sikuli, CasperJS, PhantomJS & SlimerJS.

click login
type username as user@gmail.com
type password as 12345678
click btnlogin
download https://admin.typeform.com/xxx to report.csv
Click to show powerful and user-friendly features of TagUI that come right out of the box
  • For example, TagUI will instantly convert the automation flow above into 100+ lines of JavaScript code and automatically perform the steps to download a report. Conditions can also be written in natural language for making decisions or checking webpage. No further backend coding or step definition is required. This makes it easy for rapid prototyping, deployment and maintenance of UI automation, whether you are a developer or not. The language engine supports over 20 languages and can be modified or extended easily by users to improve accuracy or add more languages.

  • The automation flow can be triggered from scheduling, command line (in natural language), API URL, email etc. Everything happens headlessly in the background without seeing any web browser, so that you can continue using the computer or server uninterrupted. Running on a visible web browser is also supported, using Chrome or Firefox browser (see chrome or firefox option below). API or command calls can be made with a single line to integrate with other services or apps. Continuous integration with CI/CD tools is possible using CasperJS framework and TagUI's Chrome integration.

  • If you know JavaScript and want to be more expressive, you can even use JavaScript directly in the flow. If not, you will still enjoy friendly but powerful features such as repositories to store your reusable objects, flexible datatables for batch automation, and a Chrome extension which creates automation flows by recording your actions. For rapid prototyping, there's also an interactive live mode for trying out TagUI steps or JavaScript code in real-time. TagUI has built-in integration with Chrome / headless Chrome directly, which also works in live mode.

  • There is automatic waiting for web elements to appear + error-checking + nesting of JavaScript code blocks. Not forgetting the option to run automation flows hosted online or auto-upload run results online for sharing. TagUI also supports visual automation of website and desktop through built-in integration with Sikuli. Instead of using element identifiers, images can be used to identify user interface elements to interact with. TagUI has native integrations with R and Python for big data and machine learning capabilities. R and Python are popular languages with many frameworks and packages in this space.

# Set Up TagUI is in v4.1 - it unzips and runs on macOS, Linux, Windows ([link to release notes](https://github.com/kelaberetiv/TagUI/releases))

Tip - to try cutting edge version with the latest features, download master.zip to overwrite an existing packaged installation (be sure to manually select and move the folders & files inside master.zip's TagUI-master/src folder to replace your existing tagui/src folder, otherwise some OSes will delete existing target folders that are missing from source folder)


TagUI is easy to use right away - no setup is needed, in most environments all required dependencies are packaged in

PlatformmacOSLinuxWindowsNode.js (macOS/Linux)
Packageunzip and rununzip and rununzip and runnpm install tagui

avoid spaces in the folder path as some components of TagUI don't work well with spaces in folder and file names

Recommended locations to unzip to

  • Windows - c:\
  • macOS - desktop
  • Linux - /home/your_id

optional - configure web browser settings in tagui_config.txt, such as browser resolution, step timeout of 10s etc


Click to show step-by-step setup if you prefer to download dependencies manually from their websites 1. PhantomJS (headless scriptable web browser) - http://phantomjs.org 2. CasperJS (navigation/testing for PhantomJS) - http://casperjs.org 3. SlimerJS (scriptable web browser for Firefox) - https://slimerjs.org 4. TagUI (general purpose web automation tool) - https://git.io/vMCTZ 5. PHP (only required for manual Windows setup) - http://windows.php.net

Tip - recommend putting TagUI to a folder path without spaces (some dependencies have issue with that). for manual Windows setup, 1. set SLIMERJS_EXECUTABLE env variable to point to slimerjs.bat, 2. put GNU utilities (cut / gawk / grep / head / sort / tail / tee), curl ssl in tagui\src\unx, 3. add phantomjs\bin, casperjs\bin, php folders to path

To Use


tagui flow_filename option(s) for Windows
./tagui flow_filename option(s) for macOS/Linux

  • Flow filename can be a local file or the URL of an online file
  • Filename can have no extension, .txt or .js or .tagui extension
  • Type tagui without parameters to see its version and options

If your command prompt or terminal font size is too small, you can set it to much larger font sizes for easier reading. The following example will run a script to perform a search on Yahoo website and capture a screenshot of the results.

Windows - unzip the tagui folder to c:\. Open command prompt with Start Menu -> type run -> type cmd and enter

cd c:\tagui\src
tagui samples\1_yahoo

macOS - unzip the tagui folder to your desktop. Open terminal from Apps -> Utilities -> Terminal and enter commands

cd /Users/your_id/Desktop/tagui/src
./tagui samples/1_yahoo

Linux - unzip the tagui folder to a convenient folder on your laptop for example /home/your_id and enter commands

cd /home/your_id/tagui/src
./tagui samples/1_yahoo

if the script works successfully, you will notice five .png files - congratulations, you have run your first TagUI script!

Troubleshooting potential exceptions

  • For Windows computers, if you see 'MSVCR110.dll is missing' error, install this from Microsoft website (choose vcredist_x86.exe) - this file is required to run the Windows PHP engine packaged with TagUI.
  • For some newer macOS versions, if you get a 'dyld: Library not loaded' error, install OpenSSL in this way.
  • For some flavours of Linux (Ubuntu for example), which do not have PHP pre-installed, google how to install PHP accordingly (eg Ubuntu, apt-get install php). Most Linux distributions would already come with PHP.

Now, you can try the same automation script with Chrome browser by running with chrome option (for Windows enter tagui samples\1_yahoo chrome, for macOS/Linux enter ./tagui samples/1_yahoo chrome). The automation will now run in the foreground instead, so you'll be able to see the navigation on Yahoo and DuckDuckGo websites.

TagUI can also be run from desktop icons, scheduled tasks, or REST API calls.

Click to show the command line options supported by TagUI and their purposes Option|Purpose :----:|:------ headless|run on invisible Chrome web browser instead of default PhantomJS (first install [Chrome](https://www.google.com/chrome/)) chrome|run on visible Chrome web browser instead of invisible PhantomJS (first install Chrome) firefox|run on visible Firefox web browser instead of invisible browser (first install [Firefox](https://www.mozilla.org/en-US/firefox/new/)) upload|upload automation flow and result to [hastebin.com](https://hastebin.com) (expires 30 days after last view) report|web report for sharing of run results on webserver (default is only a text log file) debug|show run-time backend messages from PhantomJS for detailed tracing and logging quiet|run without output except for explicit output (echo / show / check / errors etc) speed|skip 3-second delay between datatable iterations (and skip restarting of Chrome) test|testing with check step test assertions for CI/CD integration (output XUnit XML file) baseline|output execution log and relative-path output files to a separate baseline directory input(s)|add your own parameter(s) to be used in your automation flow as variables p1 to p9 data.csv|specify a csv file to be used as the datatable for batch automation of many records
Click to show info on automation log files, and how to run tagui from any directory

After each automation run, a .log file will be created to store output of the execution, a .js file is the generated JavaScript file, a .raw is the expanded flow after reading in any module sub-scripts that are called in that flow. These files are for user reference purpose and can be helpful in debugging or troubleshooting the automation flow.

To run tagui from anywhere

  • For MacOS/Linux, use ln -sf /full_path/tagui/src/tagui /usr/local/bin/tagui to create symbolic link

  • For Windows, add tagui/src folder to path, then tagui will be accessible from any folder

    If you have issue running visible automation using Firefox/SlimerJS check this setting.

Click to show how to run TagUI scripts by double-clicking as desktop icons To do that on Windows, create a .cmd or .bat file with contents like the following, which goes to the directory where you want to run the automation, and run tagui command on the file with your specified options. You can also [associate .tagui files directly](https://www.digitaltrends.com/computing/how-to-set-default-programs-and-file-types-in-windows-10) to be opened by tagui\src\tagui.cmd command. Double-clicking the .cmd or .bat file will start automation.
@echo off
cd c:\folder
tagui filename quiet speed chrome

To do that on macOS / Linux, create a file with contents like the following, which goes to the directory where you want to run the automation, and run tagui command on the file with your specified options. You will need to use the command chmod 700 on the file to give it execute permissions, so that it can be run by double-clicking on it.

cd /Users/username/folder
tagui filename quiet speed chrome


To schedule an automation flow with crontab (macOS/Linux), for example at 8am daily

0 8 * * * /full_path_on_your_server/tagui flow_filename option(s)

Tip - for Windows, use Task Scheduler (search schedule from Start Menu) or Z-Cron freeware


TagUI Writer is a Windows app created by @adegard which makes it easy to write TagUI scripts. By pressing Ctrl + Left-click, a popup menu will appear with the list of TagUI steps for you to paste into your text editor. Arnaud also created a ScreenShoter app which makes it easy to capture snapshots for TagUI visual automation. To dowload, click here.

Click to show a preview of how TagUI Writer looks like (it works across different editors)

TagUI Writer


Download from Chrome Web Store to use TagUI Chrome web browser extension for recording automation flows. TagUI Chrome extension records steps such as page navigation, clicking web elements and entering information.

Click to show details on TagUI Chrome extension (based on https://github.com/ebrehault/resurrectio) **To start recording automation flows** 1. Go to the website URL you want to start the automation at 2. Click the TagUI icon, followed by the Start button 3. Carry out the steps you want to automate 4. Click the TagUI icon, followed by the Stop, then Export buttons to view the generated TagUI script

while recording the steps, you can right click to bring up a menu for steps such as showing the element identifier

The recording is not foolproof (for example, the underlying recording engine cannot capture frames, popup windows or tab key input). It is meant to simplify flow creation with some edits, instead of typing everything manually. See this video for an example of recording sequence of steps, editing for adjustments and playing back the automation.


To run TagUI flows in native languages or output flow execution in other languages (see demo run)

  1. set your default flow language with tagui_language variable in tagui_config.txt
  2. write automation flow in native language base on language definition .csv files
  3. optionally set tagui_language in flow to any other languages as output language
Click to show the 20+ human languages supported by TagUI and how to self-build language definitions **Tip** - as Windows Unicode support is not as straightforward as macOS/Linux, doing this in Windows may require changing system locale, using chcp command, and selecting a font to display native language correctly ([more info](http://www.walkernews.net/2013/05/19/how-to-get-windows-command-prompt-displays-chinese-characters/)) TagUI language engine supports over 20 languages and can be modified or extended easily by users to improve accuracy or add more languages. The languages are Bengali, Chinese, English, French, German, Hindi, Hungarian, Indonesian, Italian, Japanese, Korean, Polish, Portuguese, Romanian, Russian, Serbian, Spanish, Tagalog, Tamil, Thai, Vietnamese. This starting set is partly chosen base on the [list of most commonly used languages](https://www.babbel.com/en/magazine/the-10-most-spoken-languages-in-the-world), partly from the countries around where I'm from (Singapore), and partly from countries with a lot of developers.

If your native language is not in the above list, you can also automate building a new native language definition by using this language build automation flow (src/languages/build) that self-builds the vocabulary set using Google Translate. To do that, update build.csv with the languages that you want to build and run tagui build using chrome in src/languages folder. Use quiet option to hide the verbose automation output. The generated files are named as their 2-character language codes to prevent overwriting existing language definitions by accident. To use the generated .csv files, rename them to their full language names. See full list of languages possible to be generated by Google Translate.

Most of the language definitions are automatically self-built using Google Translate (except english.csv and chinese.csv), and would be wrong without understanding vocabulary used in UI interaction context. Native language users can update the language definition csv themselves and are welcome to submit PRs with correct words to be used. Some languages are very different from English structure (for eg, written from right to left, different order of adjective and noun) and would be impossible to use correctly in TagUI.


TagUI has built-in integration with Sikuli (base on OpenCV) to allow identifying web elements and desktop user interface elements for interaction. Steps that support visual automation are click, hover, type, select, read, show, save, snap. Sikuli is excluded from TagUI packaged installation due to complex dependencies that are handled by its installer.

Click to show how to download and install Sikuli, how to use visual automation and a demo GIF **How to install computer vision** 1. Make sure [Java JDK v8](http://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html) is installed (entering `java -version` returns your Java version) 2. After Java is installed, you will have to restart your command prompt or terminal to use it 3. [Unzip contents of this file](https://raw.githubusercontent.com/tebelorg/Tump/master/Sikuli-1.1.3.zip) to tagui/src/tagui.sikuli folder (so that sikulixsetup-1.1.3.jar is there) 4. Right-click sikulixsetup-1.1.3.jar to run as administrator and setup (choose option 1 - Pack1) 5. Click yes to the pop-up dialog boxes during installation to use the unzipped setup files 6. On Windows, set display magnification to recommended %, if it does not work then 100% 7. On Windows, if TagUI just hangs there, see if it is due to [this issue and try the solution](https://github.com/kelaberetiv/TagUI/issues/229) 8. On macOS, if can't find image on screen, may be due to [how the image was captured](https://github.com/kelaberetiv/TagUI/issues/240#issuecomment-405030276)

To use visual automation, simply specify an image file (in .png or .bmp format) to look for in place of the element identifier.

Important! The element that corresponds to the image must be visible on the screen for visual automation to succeed. If it is blocked by another window for example, the automation will be unable to find the element.

To type onto the screen instead of a particular element, use type page.png as text or type page.bmp as text. To do a snapshot or an OCR of the whole screen, use page.png or page.bmp as the element identifier for steps snap / read. The usual helper functions visible() / present() can also be used to check whether an image is visible on the screen. Relative paths are supported for image filenames (eg pc.png, images/button.bmp). A screen (real or Xvfb) is needed for visual automation. Tesseract OCR (optical character recognition) is used for visually retrieving text. Also, by using vision step, you can send custom Sikuli commands to do things such as typing complex keystroke sequences.

Sample Visual Automation


TagUI has built-in integration with Python (works out of the box for both v2 & v3) - a programming language with many popular frameworks for big data and machine learning. The py step can be used to run commands in Python and retrieve the output of those commands. To use Python integration in TagUI, first download Python for your OS. macOS and Linux normally come pre-installed with Python. Make sure that python command is accessible from command prompt.

Click to show how to use py step in your automation flow to send and receive data from Python frameworks

In your automation flow, use the py step followed by the Python commands to be executed, separated by ;. You can then use the print command in Python to output the result you want to be accessible in your automation flow as py_result variable. For a super basic example, below steps in your TagUI automation flow will output 3. If the result is JSON data, the JSON object py_json will be created for easy access to JSON data elements. If not, py_json will be null.

// using py step to denote Python code, and getting back output from py_result
py a=1;b=2
py c=a+b
py print(c)
echo py_result

// alternatively, you can use py begin and py finish to denote a Python code block
// indentation of Python code is also supported, for example in conditions or loops
py begin
py finish
echo py_result

// an example of passing dynamically generated variables to Python integraton
phone = 1234567
name = 'donald duck'
py_step('phone = ' + phone)
py_step('name = "' + name + '"')

py print(name)
echo py_result
py print(phone)
echo py_result

You can also use the execfile() command in Python v2.X to run Python scripts. Or use exec(open('filename').read()) in Python v3.X to run Python scripts. For examples of using Python for machine learning, check out this essentials of machine learning algorithms article or this article on Python deep learning frameworks.


TagUI has built-in integration with R - an open-source software environment for statistical computing and graphics. R can be used for big data and machine learning. The r step can be used to run commands in R and retrieve the output of those commands. To use R integration in TagUI, first download R software for your OS. Make sure that Rscript command is accessible from your command prompt (added to path or symbolically linked).

Click to show how to use r step in your automation flow to send and receive data from R frameworks In your automation flow, use the r step followed by the R commands to be executed, separated by `;`. You can then use the `cat()` command in R to output the result you want to be accessible in your automation flow as `r_result` variable. For a super basic example, below steps in your TagUI automation flow will output 3. If the result is JSON data, the JSON object `r_json` will be created for easy access to JSON data elements. If not, `r_json` will be null. ``` // using r step to denote R code, and getting back output from r_result r a=1;b=2 r c=a+b r cat(c) echo r_result // alternatively, you can use r begin and r finish to denote a R code block r begin a=1;b=2 c=a+b cat(c) r finish echo r_result // an example of passing dynamically generated variables to R integraton phone = 1234567 name = 'donald duck' r_step('phone = ' + phone) r_step('name = "' + name + '"')

r cat(name) echo r_result r cat(phone) echo r_result

You can also use the `source()` command in R to run R scripts. For examples of using R for machine learning, check out this [essentials of machine learning algorithms](https://www.analyticsvidhya.com/blog/2017/09/common-machine-learning-algorithms/) article or this [guerilla guide to machine learning](https://www.kdnuggets.com/2017/05/guerrilla-guide-machine-learning-r.html) video series.


TagUI scripts are already in natural-language-like syntax to convert to JavaScript code. What's even better is having natural-language-like syntax on the command line. Instead of typing `tagui download_bank_report june creditcard` to run the automation flow download_bank_report with parameters june creditcard, you can type `erina download my june creditcard bank report`. For a demo of the CLI (command line interface) assistant in action, [see this video](https://www.youtube.com/watch?v=Sm4WNQ89gRA).

  Click to show details on how you can rename your CLI assistant and the syntax used to invoke automations

The commands erina (macOS/Linux) and erina.cmd (Windows) can be renamed to some other name you like. The commands can be set up in the same way as the tagui / tagui.cmd above to be accessible from any folder. The command basically interprets this general syntax `erina single-word-action fillers options/parameters fillers single-or-multi-word-context` to call run the corresponding automation flow `action_context` with `options/parameters`.

Also, adding `using chrome` / `using headless` / `using firefox` at the end will let it run using the respective browsers. The default location where automation flows are searched for is in tagui/flows folder and can be changed in tagui_helper.php. Filler words (is, are, was, were, my, me) are ignored as they don't convey important information ([more design info](https://github.com/kelaberetiv/TagUI/issues/44#issuecomment-321108786)).


Following automation flow samples ([tagui/src/samples folder](https://github.com/kelaberetiv/TagUI/tree/master/src/samples)) are included with TagUI

Flow Sample |Purpose
[1_yahoo](https://github.com/kelaberetiv/TagUI/blob/master/src/samples/1_yahoo)|searches github on Yahoo and captures screenshot of results
[2_twitter](https://github.com/kelaberetiv/TagUI/blob/master/src/samples/2_twitter)|goes to a Twitter page and saves some profile information
[3_github](https://github.com/kelaberetiv/TagUI/blob/master/src/samples/3_github)|goes to a GitHub page and downloads the repository file
[4_conditions](https://github.com/kelaberetiv/TagUI/blob/master/src/samples/4_conditions)|goes through examples of using conditions in natural language
[5_repositories](https://github.com/kelaberetiv/TagUI/blob/master/src/samples/5_repositories)|shows using repositories on Russian social media site VK.com
[6_datatables](https://github.com/kelaberetiv/TagUI/tree/master/src/samples/6_datatables)|set of flows uses datatables to retrieve and act on GitHub info
[7_testing](https://github.com/kelaberetiv/TagUI/blob/master/src/samples/7_testing)|shows how to use check step assertions for CI/CD integration
[8_hastebin](https://github.com/kelaberetiv/TagUI/blob/master/src/samples/8_hastebin)|used by upload option to upload flow result to hastebin.com
[9_misc](https://github.com/kelaberetiv/TagUI/blob/master/src/samples/9_misc)|shows how to use steps popup, frame, dom, js, { and } block
[a_facedetect](https://github.com/kelaberetiv/TagUI/blob/master/src/samples/a_facedetect)|uses face recognition to detect profile images on webpages
[b_visualoutlook](https://github.com/kelaberetiv/TagUI/issues/113#issuecomment-378194245)|uses visual recognition for desktop MS Outlook email sending
[c_chineseflow](https://github.com/kelaberetiv/TagUI/blob/master/src/samples/c_chineseflow)|run flow in other languages (first, change src/tagui_config.txt)

# Cheat Sheet
- What happens behind the scenes when you run an automation flow

![TagUI Flowchart](https://raw.githubusercontent.com/kelaberetiv/TagUI/master/src/media/flowchart.png)

- In Chrome browser, right-click on the element, click Inspect, right-click on HTML code block, then

![TagUI Flowchart](https://raw.githubusercontent.com/kelaberetiv/TagUI/master/src/media/find_xpath.png)

- TagUI auto-waits for a webpage element to appear and interacts with it as soon as it appears
- Element identifier can be auto-recorded using TagUI Chrome extension, or [found from web browser](https://github.com/kelaberetiv/TagUI#find-xpath-of-web-element)
- Identifiers help to pinpoint which webpage elements you want to interact with ([examples in flow samples](https://github.com/kelaberetiv/TagUI#flow-samples))
- TagUI auto-selects provided identifier in this order - xpath, css, id, name, class, title, aria-label, text(), href

Basic Step|Parameters (separator in bold)|Purpose
http(s)://|just enter full url of webpage (\`variable\` for variable)|go to specified webpage
click|element to click|click on an element
rclick|element to right-click|right-click on an element
dclick|element to double-click|double-click on an element
hover|element to hover|move cursor to element
type|element ***as*** text ([enter] = enter, [clear] = clear field)|enter element as text
select|element to select ***as*** option value ([clear] = clear selection)|choose dropdown option
read|element to read (page = webpage) ***to*** variable name|fetch element text to variable
show|element to read (page = webpage, ie raw html) |print element text to output
save|element (page = webpage) ***to*** optional filename|save element text to file
load|filename ***to*** variable name|load file content to variable
echo|text (in quotation marks) and variables|print text/variables to output
dump|text (in quotation marks) and variables ***to*** optional filename|save text/variables to file
write|text (in quotation marks) and variables ***to*** optional filename|append text/variables to file
variable_name| = value (for text, put in quotes, use + to concat)|define variable variable_name
// (on new line)|user comments (ignored during execution)|add user comments
tagui|relative or absolute filename (see MODULES section)|run another tagui flow
ask|question or instruction for user (reply stored in ask_result)|ask user for input
live|try steps or code interactively for Chrome / visual automation|enter live mode ([Firefox not yet](https://github.com/laurentj/slimerjs/issues/639))

**Tip** - to use variables where text is expected, \`variable\` can be used. XPath is an expressive way to identify web elements. If you know xpath and use xpath for element identifier, use double quotes for text //\*[@title="Login"]

  Click to show pro steps such as snap, table, wait, check, api, run, dom, js, r, py, vision, code blocks

Pro Step|Parameters (separator in bold)|Purpose
snap|element (page = webpage) ***to*** optional filename|save screenshot to file
snap (pdf)|page ***to*** filename.pdf (headless Chrome / PhantomJS)|save webpage to basic pdf
table|element (XPath selector only) ***to*** optional filename.csv|save basic html table to csv
wait|optional time in seconds (default is 5 seconds)|explicitly wait for some time
check|condition **&#124;** text (in quotes) if true **&#124;** text (in quotes) if false|check condition and print result
upload|element (CSS selector only) ***as*** filename to upload|upload file to website
download|url to download ***to*** filename to save|download from url to file
receive|url keyword to watch ***to*** filename to save|receive resource to file
frame|frame name **&#124;** subframe name if any|next step or block in frame/subframe
popup|url keyword of new tab window to look for|next step or block in new tab window
{ and }|use { to start block and } to end block (on new line)|define block of steps and code
api|full url (including parameters) of api call|call api & save response to api_result
run|OS shell command including parameters|run OS command & save to run_result
dom|javascript code for document object model|run code in dom & save to dom_result
js|javascript statements (skip auto-detection)|treat as JS code explicitly
r|R statements for big data and machine learning|run R statements & save to r_result
py|python code for big data and machine learning|run python code & save to py_result
vision|custom visual automation commands|run custom sikuli commands
timeout|time in seconds before step errors out|change auto-wait timeout

**Tip** - for headless and visible Chrome, file downloads can be done using normal webpage interaction or specifying the URL as a navigation flow step. For Firefox and PhantomJS, the download and receive step can be used.

> on Windows, snap step requires display magnification to be set at 100% to work properly

As TagUI default execution context is local, to run javascript on webpage dom (eg document.querySelector) use dom step. Set dom_json variable to pass a variable for use in dom step. Or dom_json = {tmp_number: phone, tmp_text: name} to pass multiple variables for use in dom step (dom_json.tmp_number and dom_json.tmp_text).

> For steps run, dom, js, r, py, vision, instead of typing the step and the command, you can use something like py begin followed by many lines of py code, and end with py finish to denote an entire code block. This saves typing the step repeatedly for a large integration code block. Indentation of Python code within py begin-finish and vision begin-finish blocks is supported, for example in conditions or loops.

For steps r, py, vision, the helper functions r_step(), py_step(), vision_step() can be used to pass dynamic variables to those integrations. Below is an example for py step for passing dynamically generated varibles from TagUI to Python integration.

phone = 1234567 name = 'donald duck' py_step('phone = ' + phone) py_step('name = "' + name + '"')

py print(name) echo py_result py print(phone) echo py_result


  Click to show how conditions can be expressed in natural language (optional brackets) or JavaScript

- Conditions help in decision-making and taking different actions base on run-time context
- Write text in quotation marks (either " or ' works) to differentiate text from variable names
- { and } block is required after for loop (while is deprecated - no auto-wait, hangs CasperJS)
- Use for loop to repeat blocks of steps (nested loops, conditions, break, continue supported)

Condition (in natural language)|JavaScript
example - if day equals to "Friday"| if (day == "Friday")
example - if menu contains "fruits"| if (menu.indexOf("fruits")>-1)
example - if A more than B and C not equals to D | if ((A > B) && (C != D))
example - for n from 1 to 4 | for (n=1; n<=4; n++)]
example - for n from 1 to infinity | for (n=1; n<=1024; n++)]
example - while cupcakes equal to 12| while (cupcakes == 12)
not contain|.indexOf("text")\<0
equal to|==
not equal to|!=
more than / greater than / higher than|>
more than or equal to / greater than or equal to / higher than or equal to|>=
less than / lesser than / lower than|<
less than or equal to / lesser than or equal to / lower than or equal to|<=

**Tip** - use { and } step to define step/code blocks for powerful repetitive automation with for loop. The usual break and continue commands can be used on next line after an if condition, to break out of the immediate loop or continue to the next iteration. To loop 'indefinitely' use `for n from 1 to infinity`, where infinity is a pre-defined variable at 1024. When using contain / equal, you can write with or without s behind. You can use if present('element') to check if the element exists, before doing the step on next line. Other useful functions include visible('element'), count('element'), url(), title(), text(), timer(), which can be used in conditions and steps such as check or echo.


  Click to show helper functions csv_row(), present(), visible(), count(), url(), title(), text(), timer()

- Below are helper functions which can be used in your steps or code like a variable
- You can define your own JS functions in tagui_local.js / tagui_global.js ([see eg](https://github.com/kelaberetiv/TagUI/issues/236#issuecomment-403188526))
- TagUI will look for a local function file tagui_local.js in the same folder of flow
- TagUI will also look for a global function file tagui_global.js in tagui/src folder
- Local definitions take precedence over global definitions (same for repositories)

csv_row(row_array)|return formatted string for writing to csv file, eg using write step
present('element')|return true or false whether element identifier specified is present
visible('element')|return true or false whether element identifier specified is visible
count('element')|return number of elements matching element identifier specified
url()|return page url of current web page
title()|return page title of current web page
text()|return text content of current web page
timer()|return time elapsed in sec between calls

// example of using csv_row() helper function read name_element to name read price_element to price read details_element to details item_info = [name, price, details] write csv_row(item_info) to product_list.csv


  Click to show how you can call other TagUI automation flows within an automation flow file

- This lets you reuse and compound automation scripts to build complex flows
- Sub-scripts can be multiple levels deep and be of any filename or extension
- To call sub-scripts, use tagui step followed by absolute or relative filename
- For example, tagui login_crm or tagui crm.login or tagui outlook\sendmail
- Variables can be directly used or modified in parent script and sub-scripts

**Tip** - tagui step works by expanding content of a sub-script into the flow, at the line where tagui step is used to call the sub-script. Thus variables that are accessible from the parent flow file will also be accessible from the sub-script. A .raw file will be created to store expanded contents of the automation flow (useful for checking error messages). Alternatively, try using run step to run tagui on a flow file, so that it is run as a separate child process.


  Click to show how you can use repositories to make objects reusable and improve readability

- Repository csv files have 2 columns, for example below (headers up to you to name)
- TagUI will look for a local repository file tagui_local.csv in the same folder of flow
- TagUI will also look for a global repository file tagui_global.csv in tagui/src folder
- Using \`object\` in your flow replaces it with its definition (which can contain objects)
- For example, \`type email\` becomes type user-email-textbox as user@gmail.com

create account|btn btn--green btn-xl signup-btn
type email|type \`email\` as user@gmail.com


  Click to show how datatable csv files can be used to perform batch automation at scale

- When running TagUI, specify the csv file to use, eg tagui flow_filename trade_data.csv
- TagUI loops through each row to run automation using the data from different rows
- Eg, echo 'TESTCASE - \`testname\`' in your flow shows TESTCASE - Trade USDSGD
- echo '\`[iteration]\`' can be used in your flow to show the current iteration number
- A file tagui_datatable.csv will be created in tagui/src folder for TagUI internal use

1 |Trade USDSGD|test_account|12345678|USDSGD|10000|BUY
2 |Trade USDSGD|test_account|12345678|USDJPY|1000|SELL
3 |Trade EURUSD|test_account|12345678|EURUSD|100000|BUY


# Developers Reference
TagUI is a young tool and it tries to do the task of automating UI interactions very well. It's designed to make prototyping, deployment and maintenance of UI automation easier by minimizing iteration time for each phase. Originally developed by a test automation engineer to avoid writing chunks of code when automating web interactions.

### API

  Click to show how to use API webservice that comes with TagUI and how to make complex outgoing API calls

Automation flows can also be triggered via API URL. TagUI has an API service and runner for managing a queue of incoming requests via API. To set up, add a crontab entry on your server with the desired frequency to check and process incoming service requests. Below will check every 15 minutes and run pending flows in the queue. If there's an automation in progress, TagUI will wait for the next check instead of concurrently starting a new run.

0,15,30,45 * * * * /full_path_on_your_server/tagui_crontab

To call an automation flow from your application or web browser, use below API syntax. Custom input(s) supported. The default folder to look for flow_filename would be in tagui/src folder. Automation flows can also be triggered from emails using the API. For email integration, [check out Tmail](https://github.com/tebelorg/Tmail). It's an open-source mailbot to act on incoming emails or perform mass emailing; it also delivers emails by API. Emails with run-time variables can be sent directly from your flow with a single line (see flow sample 6C_datatables). For sending SMS, you can use api step to send through SMS-sending services, or host your own from your webserver using services like Skebby ([see this example](https://github.com/adegard/SMS-Marketing) from [@adegard](https://github.com/adegard)). If you have data transformation in your process pipeline [check out TLE](https://github.com/tebelorg/TLE), which can help with converting data.

your_website_url/tagui_service.php?SETTINGS="flow_filename option(s)"

Besides integrating with web applications, TagUI can be extended to integrate with hardware (eg Arduino or Raspberry Pi) for physical world interactions or machine learning service providers for AI decision-making ability. Input parameters can be sent to an automation flow to be used as variables p1 to p9. Output parameters from an automation flow can be sent to your Arduino or application API URL (see samples 3_github and 6C_datatables).

For making outgoing API calls in your automation flow, to feed data somewhere or send emails etc, use the api step followed by full URL (including parameters) of the API call. Raw response from API will be saved in `api_result` variable. If the API response is JSON data, the variable `api_json` will be created for easy access to JSON data elements. If not, `api_json` will be null. For example, `api_json.parent_element.child_element` retrieves value of child_element.

api_config = {method:'PUT', header:['Header1: value1','Header2: value2'], body:{'id':123,'pwd':'abc'}};

For advanced API calls, you can set above api_config variable which defaults as {method:'GET', header:[], body:{}}. Besides GET, you can use other methods such as POST, PUT, DELETE etc. You can define multiple headers in the format 'Header_name: header_value' and provide a payload body for PUT requests for example. You can set it as above before using the api step, or set using api_config.method = 'PUT'; and api_config.header[0] = 'Header1: value1'; etc. api_config.body will be automatically converted to JSON format for sending to API endpoint.

In addition, macOS/Linux/Windows CLI commands can be executed using run step. This can be used to call other apps or services hosted locally on the OS, instead of being hosted through webservices. To use run step, specify the full command including parameters. Execution result will be stored in run_result, which can be used in your automation flow.


Click to show how TagUI has native integraton with visible and headless Chrome using DevTools Protocol TagUI has built-in integration with Chrome web browser to run web automation in visible or headless mode. It uses a websocket connection to directly communicate automation JavaScript code and information to Chrome.

To develop new custom methods for Chrome integration, see this TagUI issue and tagui_header.js for examples of websocket calls from TagUI to Chrome (via Chrome DevTools Protocol). The function chrome_step(method, params) sends message to Chrome and returns the response. You will see examples from simple websocket calls such as getting webpage title to stacked ones such as handling of frame or popup window. To tweak how TagUI launches / kills Chrome and the integration PHP process, see TagUI runner script for macOS/Linux or Windows.

Probably the best way to see the websocket communication in action is to enter TagUI live mode (add live step in your automation flow), then tail -f tagui_chrome.log in another terminal to see the Chrome DevTools Protocol messages going to and fro as you enter TagUI steps or JavaScript code. If you are running on Windows, you can click on the PHP process window directly to see the messages.

At run-time TagUI will start a PHP thread in the background to manage the integration with Chrome for concurrent communication. The Textalk PHP websocket is used as it is super-light and most importantly, it works even without any update for 2 years. The normal approach to integrate with Chrome is through chrome-remote-interface project or tools such as Puppeteer and friends. However, that approach introduces Node.js dependency which means users without a Node.js development environment cannot run TagUI with Chrome. Outside of JavaScript ecosystem, there are also tools like chromedp in Go language to integrate with Chrome.

In order to retain TagUI unzip and run functionality, the approach of launching a separate PHP thread is chosen. Since the TagUI natural language interpreter is already written in PHP, there is no new dependency. Also, doing websocket communication within the single-threaded JavaScript environment used by CasperJS is not possible as it involves a redesign of fundamental CasperJS methods such as casper.exists to support async/await or use JavaScript promises which are not yet supported by CasperJS (for compatibility with latest PhantomJS).

Like chrome-remote-interface, TagUI communicates with Chrome through Chrome DevTools Protocol. The protocol is primarily designed for debugging the web browser instead of web automation, so many methods are still in experimental status. However, the API is stable enough for TagUI steps to work with Chrome. When chrome or headless option is used, TagUI replaces CasperJS methods it uses with custom methods to talk to Chrome instead of PhantomJS. When firefox option is used or by default, TagUI doesn't invoke custom methods and PHP process.


Click to show details of how TagUI can be used for test automation with integration to CI tools The check step allows easy testing of conditions. When the test option is used, test assertions are automatically performed for check steps. This lets CasperJS framework output a XUnit XML file, which can be used for CI/CD integration with tools such as Jenkins. Below are examples of check steps, more examples in [sample flow 7_testing](https://github.com/kelaberetiv/TagUI/blob/master/src/samples/7_testing).
// check whether the element search-buttons exists
check present('search-buttons') | 'search button exists' | 'search button does not exist'

// check whether the search button text is correct
read search-buttons to button
check button equals to 'Search' | 'search button text is correct - ' button | 'search button text is wrong - ' button

// check that the page has the text My Portfolio
check text() contains 'My Portfolio' | 'page text contains My Portfolio' | 'page text does not contain My Portfolio'

// check that number of header menu items are more than or equals to 6
check count('uh-tb-') more than or equals to 6 | 'header menu items >= 6' | 'header menu items < 6'

CasperJS test scripts are inherently different in structure and syntax from its usual automation scripts. With the test option, TagUI automatically sets up your automation flow to work as a test script. TagUI allows you to reuse the same flow for testing or automation by running it with or without the test option. More info about CasperJS testing framework.

Note that CasperJS is not yet supporting Chrome, below additional examples using CasperJS built-in test assertions won't work when chrome or headless option is used. TagUI smart selector can still be accessed using tx('selector'). As TagUI allows you to write JavaScript / CasperJS code directly within the automation flow, advanced testing or coding techniques that can be implemented in CasperJS should work directly within your flow.

test.assertTextExists('ABOUT','Check for ABOUT text');
test.assertSelectorHasText(tx('header'), 'Interface automation','Check for phrase in header element');

In the event you get an error saying that it cannot understand the step for your JavaScript line, raise an issue or modify the source code (tagui_parse.php is where interpretation of natural language to CasperJS JavaScript code takes place). Alternatively, use step js to explicitly declare that whatever follows on that line is JavaScript code and ensure that the line is not treated as a TagUI step.


Click to show details of the different files used by TagUI and their purposes Core Files|Purpose :---------|:------ tagui|main runner for TagUI automation tagui.cmd|main runner for Windows platform tagui_config.txt|web browser settings used for automation tagui_parse.php|to interpret natural language into code tagui_header.js|template for CasperJS / integrations code tagui_footer.js|template for CasperJS / integrations code test/positive_test|TagUI's interpretation positive test cases test/positive_test.signature|.js signature for positive test cases
translate.phptranslation engine for native languages
translate.logtranslation in English reference language
languages/buildscript to self-build language definitions
languages/build.csvdefault languages to be self-built
Chrome IntegrationPurpose
tagui_chrome.phpPHP thread for Chrome integration
tagui_chrome.loglog for Chrome websocket transactions
tagui_chrome.ininterface in-file for Chrome integration
tagui_chrome.outinterface out-file for Chrome integration
Sikuli IntegrationPurpose
tagui.pyinterface for Sikuli visual automation
tagui.loglog for Sikuli Python transactions
tagui_windows.logsame as above but for Windows
tagui_sikuli.ininterface in-file for Sikuli integration
tagui_sikuli.outinterface out-file for Sikuli integration
tagui_sikuli.txtTesseract OCR integration interface file
R IntegrationPurpose
tagui_r.Rinterface for R integration
tagui_r.loglog for R platform transactions
tagui_r_windows.logsame as above but for Windows
tagui_r.ininterface in-file for R integration
tagui_r.outinterface out-file for R integration
tagui_r.txtintegration file for storing output
Python IntegrationPurpose
tagui_py.pyinterface for Python integration
tagui_py.loglog for Python platform transactions
tagui_py_windows.logsame as above but for Windows
tagui_py.ininterface in-file for Python integration
tagui_py.outinterface out-file for Python integration
tagui_py.txtintegration file for storing output
API ServicePurpose
tagui_crontabto run service request batch from crontab
tagui_runner.phpretrieving service requests from queue
tagui_service.phpreceiving service requests into queue
tagui_service.loglog to track service requests history
tagui_service.inlog to track incoming service requests
tagui_service.outlog to track processed service requests
tagui_service.actservice request batch ready to execute
tagui_service.runservice request batch currently running
tagui_service.doneservice request batch finished running
CLI AssistantPurpose
erinanatural language command line helper
erina.cmdsame as above but for Windows platform
tagui_helper.phpcommand line natural language parser
tagui_helpergenerated normal TagUI command to run
tagui_helper.cmdsame as above but for Windows platform
Miscellaneous FilesPurpose
tagui_datatable.csvtemporary datatable internal representation
transpose.phptranspose conventional datatable csv file
tagui_report.phpto generate html report from text log
sleep.phpallow adding execution pause on Windows
User-defined FilesPurpose
tagui_local.csvlocal repository (put in same folder as flow)
tagui_global.csvglobal repository (put in tagui/src folder)
tagui_local.jslocal functions (put in same folder as flow)
tagui_global.jsglobal functions (put in tagui/src folder)


Click to show details of security concerns and features of TagUI

Below architecture diagram for TagUI will be used to elaborate on this topic of security.

TagUI Flowchart

As TagUI and the foundation it is built on is open-source software, it means users can read the source code of TagUI and all its dependencies to check if there is a security flaw or malicious code. This is an advantage compared to using commercial software that is closed-source, as users cannot see what is the code behind the software due to lack of visibility.

For open-source software, users and developers who spot security issues will raise issues to the maintainers and work towards a fix. For commercial software, other ways such as tracking the web traffic or file system activities have to be deployed to infer on what the software is doing.

Following are links to the source code for TagUI and its open-source dependencies. You can dig through the source code for the other open-source dependencies below, or assume that security issues would have been spotted by users and fixed, as these projects are mature and have large user bases.

  • TagUI - https://github.com/kelaberetiv/TagUI

  • Sikuli - https://github.com/RaiMan/SikuliX-2014

  • CasperJS - https://github.com/casperjs/casperjs

  • PhantomJS - https://github.com/ariya/phantomjs

  • SlimerJS - https://github.com/laurentj/slimerjs

  • Python - https://github.com/python/cpython

  • R - https://github.com/wch/r-source

  • PHP - https://github.com/php/php-src

    Following are more comments specific to TagUI for the topic of security.

  • By design, TagUI does not send outgoing web traffic or send outgoing data, other than what the user is automating on, for example visiting a website. However, there is an upload option, when used, TagUI will go to an open-source service Hastebin that allows uploading of information to share via URL. This sends outgoing data of the automation execution log to that website and returns an URL to user so that user can share the output of the automation with colleagues or friends.

  • TagUI allows running of automation files whether they are stored locally as a file on your laptop or computer, or if the file is an online URL. This means users should be cautious to run automation from online URLs unless they are sure that the online URL is a safe source and not doing something destructive. This can be checked by accessing the URL using a web-browser to see the automation steps performed in the online automation file.

  • TagUI comes with a web service, that can be used to trigger automation flows if TagUI is installed on a web-server. More details in Developers Reference section under API. The design minimizes security risk by not forcing users to turn on exec() for their PHP configuration. This means execution of malicious commands cannot be injected through the web-service. Instead, the web-service works by using crontab to periodically check for automation requests. Webservice execution of online flows is now disabled by default so that malicious users cannot trigger execution of a malicious flow hosted online.

  • TagUI has very powerful features, including the ability to run command line programs, Python code, R code, API calls, and ability to make changes to the local file systems. These features can become security risks if a malicious automation flow file is executed. Imagine TagUI as a tool, such as fire. In evil hands it can be used to do evil things at scale. In good hands, it can be used to solve pain points related to digital processes that are repetitive and huge in volume.

  • As TagUI can replicate what a normal human user can do on the computer, TagUI is restricted and compliant to the same security policies as the normal human user would be subjected to. For example, having to use a hardware token in order to access the laptop, or user password in order to login to the computer. Or having a 2FA hardware token in order to access confidential information from a web or enterprise application.


TagUI is open-source software released under Apache 2.0 license



GitHub Stars



6mos ago








4yrs ago
No alternatives found
No tutorials found
Add a tutorial
No dependencies found

Rate & Review

No reviews found
Be the first to rate