This skill provides a mechanism to robustly scrape content from documentation portals powered by Zoomin Software. It leverages Playwright to launch a headless Chromium browser, execute JavaScript, wait for dynamic content to load, and then extract the rendered text from the main article body.
To use this skill, you need to provide a file containing a list of URLs, one URL per line. The skill will then process each URL, saving the extracted content to a specified output directory.
This skill relies on Playwright. Before using this skill for the first time on a new system, you must manually install Playwright and its browser binaries by running the following commands in your terminal:
pip install playwright
playwright install chromium
These commands should be executed within the virtual environment you intend to use for this skill.
To run the scraper, you will invoke the run_scraper.sh script, which is located within this skill's scripts/ directory. This wrapper script will activate your specified Python virtual environment before executing the main Python Playwright script.
Parameters for run_scraper.sh:
urls_file: The path to a text file containing the URLs to scrape, one URL per line.output_directory (optional): The directory where the scraped content will be saved. If not provided, it defaults to scraped_docs_output.venv_path: The absolute path to your Python virtual environment (e.g., /home/justin/scraper/.env).Example:
Assuming your list of URLs is in path/to/urls.txt, you want to save the output to my_scraped_docs/, and your virtual environment is at path/to/my_venv:
zoomin-scraper urls_file="path/to/urls.txt" output_directory="my_scraped_docs" venv_path="path/to/my_venv"
The script will launch a headless Chromium browser, navigate to each URL, wait for the main content to load (specifically targeting ), and then save the extracted text. It includes a user agent to mimic a regular browser and a small delay between requests to be polite to the server.
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