AI & Agent Data Ingestion

Feed web data into LLMs, AI agents, and retrieval pipelines

Last updated Mar 2, 2026

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).

FAQs