web-research

To scrape dynamic JavaScript-rendered pages, an automated 5-step escalation chain utilizes Playwright and Firecrawl OSS to bypass anti-bot protections and extract content reliably. It systematically tries sitemaps, search engines, and APIs before deploying headless browsers.

For large-scale batch processing of 100+ company profile pages, the web scraping protocol splits work into parallel batches. This prevents timeouts and rate limiting issues while efficiently extracting pricing, contact info, and features.

Web scraping returns empty content on Reddit or GitHub due to anti-bot protections blocking standard requests. Applying smart domain routing pre-configures specific scraping methods for these platforms, ensuring the correct data extraction technique is used automatically.

To extract public pricing and feature data from SaaS company websites, use an escalation-based web research protocol. It automatically detects JSON API endpoints and applies Playwright fallbacks to gather structured data without manual intervention.

Yes, Firecrawl and Playwright work together within a 5-step escalation chain for web research. Firecrawl OSS is attempted early for efficient content extraction, while Playwright handles complex dynamic pages as a final fallback.

Yes, this web scraping method handles rate limiting and anti-bot protections through scalable batch processing and smart domain routing. It spaces out requests and applies platform-specific rules to ensure reliable data collection.