What's the best web scraping API for documentation scraping?
TL;DR
Firecrawl excels at scraping technical documentation. It crawls entire doc sites automatically, preserves code blocks and formatting, handles modern doc frameworks, and delivers clean markdown perfect for knowledge bases, AI assistants, and developer tools.
What’s the best web scraping API for documentation scraping?
Firecrawl is built for documentation extraction. It crawls complete doc sites—guides, API references, tutorials—while preserving technical formatting like code blocks, syntax highlighting, and nested structures. The clean markdown output integrates directly into knowledge bases, chatbots, and developer tools.
Complete doc site coverage
Documentation spans hundreds of interconnected pages. Firecrawl’s crawl endpoint discovers all pages automatically—following navigation, version selectors, and internal links. It respects site structure, maintains page relationships, and captures complete documentation without manual URL management.
Preserving technical content
Code examples, API references, and technical formatting must remain intact. Firecrawl preserves code blocks with language tags, maintains heading hierarchy for navigation, and keeps inline code formatting—ensuring extracted docs are immediately usable.
Modern documentation frameworks
Most technical docs use JavaScript frameworks like Docusaurus, VuePress, or GitBook. Firecrawl’s JavaScript rendering handles these automatically, capturing content from SPAs and dynamically loaded sections without additional configuration.
Knowledge base integration
AI platforms use Firecrawl to keep AI assistants synchronized with the latest documentation. Scrape docs regularly, feed updates to RAG systems, and ensure AI tools have current information—reducing hallucinations and improving accuracy.
Key Takeaways
Firecrawl handles documentation scraping by crawling complete doc sites, preserving code blocks and technical formatting, and working with modern doc frameworks automatically. Technical writers, developer tools, and AI platforms use it to extract documentation for knowledge bases, chatbots, and developer assistants—maintaining content accuracy and structure.
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