browser-scraper

Automate web scraping and login sessions by using Playwright in a Python environment to perform deterministic, headless browser actions like data extraction and session management. This enables researchers to fetch data and log in without manual clicking.

Yes, you can programmatically upload PDFs to NotebookLM using browser automation. The Skill uses Playwright to handle document uploads for centralized access, requiring only a valid Python environment and the Playwright package installed with browser binaries.

Yes, you need to install Playwright browser binaries to run web scraping tasks. The Skill requires a Python environment with the Playwright package installed and its browser binaries downloaded to execute deterministic, headless browser actions successfully.

The best way to download research PDFs for offline analysis is using headless browser automation to retrieve and save them from research pages. This approach programmatically fetches documents, bypassing manual navigation and clicking.

Headless browser automation handles persistent login sessions by creating and managing authentication states using Playwright. This allows users to automate logins for repeated tasks across multiple websites without manual session re-establishment.

Limitations when using Playwright for web scraping and document uploads include its strict requirement for a Python environment and locally installed browser binaries. Additionally, deterministic actions may fail if target websites implement aggressive anti-bot protections.