Induced AI: Browser Automation for Autonomous Tasks

Automate web tasks using AI agents that mimic human browser interaction. This action pack guides you to build 'digital workers' for repetitive workflows like data entry, lead generation, and report generation, boosting efficiency and reducing manual effort.

beginner15 min5 steps

The play

Set Up Your Python Environment
Install Python and the Playwright library. Use `playwright install` to download necessary browser binaries for Chromium, Firefox, and WebKit.
Define Your Automation Task
Clearly outline the business task your agent needs to perform. Use browser developer tools to identify and inspect specific UI elements (buttons, input fields, links) the agent will interact with on the target website.
Program Basic Browser Control
Write code using Playwright to launch a browser, navigate to a URL, click elements, type text into fields, and wait for page loads. Focus on emulating basic human interactions.
Build Robustness for Dynamic Pages
Implement error handling and use explicit waits for elements to appear before interaction. Design strategies to handle dynamic content, varying page load times, and unexpected pop-ups to make your automation resilient.
Enhance with Advanced AI (Optional)
For more complex tasks, consider integrating computer vision for robust UI element recognition, Natural Language Understanding (NLU) to interpret web page content, or agentic architectures for adaptive multi-step planning and execution.

Starter code

import asyncio
from playwright.async_api import sync_playwright

async def run():
    async with sync_playwright() as p:
        # Launch a headless Chromium browser (set headless=False to see the browser)
        browser = await p.chromium.launch(headless=True)
        page = await browser.new_page()
        
        # Navigate to Google
        await page.goto("https://www.google.com")
        
        # Fill the search box and press Enter
        await page.fill('textarea[name="q"]', "aaas.academy")
        await page.press('textarea[name="q"]', "Enter")
        
        # Wait for the search results to load and be visible
        await page.wait_for_selector("#search", state="visible")
        
        # Take a screenshot of the results page
        await page.screenshot(path="google_search_aaas.png")
        print("Screenshot saved to google_search_aaas.png")
        
        await browser.close()

if __name__ == "__main__":
    asyncio.run(run())