AI & Agent Data Ingestion
Feed web data into LLMs, AI agents, and retrieval pipelines
Use Anakin's scraping API to turn web pages into structured JSON (or clean text/markdown) for RAG pipelines, AI agents, and support copilots. Typical workflows include crawling docs, help centers, product pages, and forum threads, then chunking and indexing for retrieval.
Common sources
- Documentation sites (MDX/Docs frameworks, API references)
- Help centers / knowledge bases (Zendesk-style, custom)
- Product pages + changelogs
- Forums / community threads
What to extract
- Title, headings hierarchy (H1/H2/H3)
- Main content blocks (exclude nav/footer)
- Code blocks (language + code)
- Tables, lists, callouts
- Canonical URL, publish/updated timestamps
- Outbound links for crawl expansion
Implementation notes
- Prefer browser rendering for JS docs sites and SPAs.
- Use structured extraction to keep stable fields:
title,sections[],code_blocks[],tables[]. - Use dedupe keys (canonical URL + content hash) to avoid re-indexing.
- For RAG: chunk by heading boundaries; store metadata (source URL, section path).