Web scraping and AI data guides
Practical AIHackr guides to website-to-Markdown APIs, structured extraction, bounded crawling and preparing source-aware web content for AI.
Practical guides for turning public webpages into useful application data. Written by the AIHackr team, with examples based on the APIs available today.
How to turn a website into Markdown with an API
A practical guide to scraping public webpages as Markdown, preserving source URLs and preparing useful text for AI applications.
Read the guide →EngineeringScrape vs. crawl vs. map: choose the right request
Understand when to scrape one page, map its links or crawl a bounded section of a website, with AIHackr examples and usage considerations.
Read the guide →AI workflowsBuild a source-aware web data pipeline for RAG
Plan a web-to-RAG workflow with bounded crawling, retained source metadata, chunking, validation and a refresh strategy.
Read the guide →TutorialExtract JSON from webpages without losing context
Use prompts and JSON schemas to turn public page content into structured data. Learn how to validate missing values and retain source context.
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