Selenium Web Scraping with Python - Setup, Selectors, Waits, and Scaling
Blog post from Firecrawl
In 2016, the author spent a year using Selenium to build programmatic websites, which initially worked well but eventually faced issues when website updates broke the scripts, highlighting Selenium's fragility. Selenium is a browser automation tool often used for scraping JavaScript-heavy sites, but it requires regular maintenance due to its reliance on CSS selectors, which can break with website redesigns. The text discusses various aspects of web scraping with Selenium, including setting it up, managing browser drivers, and optimizing performance by using headless mode and blocking unnecessary resources. It contrasts Selenium with newer tools like Playwright and Firecrawl, which offer different advantages, such as Playwright's faster execution and Firecrawl's AI-driven schema-based data extraction that reduces maintenance needs. Firecrawl is presented as a more robust solution for large-scale, production-level scraping, as it adapts automatically to site changes and does not require complex infrastructure management, unlike Selenium, which necessitates manual updates and infrastructure for scaling.