Google Search

This skill searches Google using a stealthy fetcher and returns structured results suitable for LLM consumption.

Usage

Run the python script google_search.py with the query as an argument.

python google_search.py "<query>"

File Structure

• google_search.py: The main script. It uses scrapling to perform the Google search. It launches a browser instance to fetch results, ensuring high success rates by mimicking real user behavior.
• verify_search.py: A debugging script. It runs a predefined set of queries to verify that the search functionality works correctly.
• requirements.txt: Lists the Python dependencies required for the project.

Requirements

• Python 3
• scrapling package installed (with playwright and curl_cffi dependencies)

To install dependencies:

pip install -r requirements.txt
playwright install  # Required for browser automation. If slow, consider downloading manually.

Notes & Troubleshooting

Browser Environment (Headless=False)

This skill is configured to run with headless=False (see google_search.py). This means: 1. GUI Required: The environment where this code runs must support a Graphical User Interface (GUI). It will launch a visible browser window. 2. No Headless Servers: It will likely fail on headless servers (like standard CI/CD runners or SSH-only servers) unless X11 forwarding or a virtual display (like xvfb) is configured.

Debugging with verify_search.py

If you encounter issues or want to test if the setup is working: 1. Run python verify_search.py. 2. This script will execute several test queries (e.g., "python tutorial", mixed English/Chinese). 3. Watch the browser window to see if it opens and loads Google results. 4. Check the console output for success messages or error logs.