StoneSteel27

Converts your browser session, into automation/extraction scripts

21
3
100% credibility
Found Apr 28, 2026 at 21 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

AutomatiQ records a user's normal web browsing session with screen video and network details, then uses AI to generate a standalone Python script automating those exact actions.

How It Works

1
🔍 Discover AutomatiQ

You hear about a clever tool that watches how you browse websites and turns it into your own personal automation helper.

2
🚀 Get it ready

You grab the tool and launch it with a quick setup, connecting a smart AI brain to do the thinking.

3
🎥 Record your browsing

A browser window opens, and you visit the site and do your usual clicks, typing, and navigation just like normal.

4
⏹️ Show what you want automated

When you've demonstrated the exact steps, you press a simple key to say 'that's it'.

5
🤖 AI analyzes everything

The tool reviews your screen video, clicks, and behind-the-scenes web talks to deeply understand your actions.

6
🧪 Smart agent builds it

A clever investigator tests ideas in a safe playground until it crafts a perfect recreation of your session.

Grab your automation script

You receive a ready-to-run program that repeats your browsing perfectly, saving you time forever.

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Star Growth

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AI-Generated Review

What is AutomatiQ?

AutomatiQ converts your browser session into automation/extraction scripts using Python. Record a site by browsing normally in an instrumented Chrome tab—capturing video, network requests, and actions—then hit Ctrl+C. An AI agent analyzes the dump with vision models and generates a standalone script, skipping manual DOM inspection.

Why is it gaining traction?

It stands out by fully automating the reverse-engineering: no brittle selectors or replay tools needed, just pip install automatiq, set a Gemini key, and run `automatiq run https://example.com`. The sandboxed IPython agent iterates with real tests against the live site, producing reliable requests.Session() or curl_cffi code. Early adopters dig the workflow for quick prototypes over Selenium boilerplate.

Who should use this?

Web scrapers extracting data from dynamic sites, QA engineers replaying user flows, or backend devs automating logins/forms without Playwright overhead. Ideal for one-off tasks like pulling reports from dashboards where manual scripting feels wasteful.

Verdict

Worth a spin for alpha testers—21 stars and 1.0% credibility signal raw potential but expect bugs. Solid README and CLI make it approachable; pair with cheap vision models for low-cost experiments before committing to production tools.

(187 words)

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