Structured web data extraction
Turn public webpages into structured JSON with AIHackr. Use a prompt or schema, validate the output and keep source context in your workflow.
On this page
Ask for the fields your application needs
Turn a public page into JSON with a prompt or a schema. Use it to collect visible product descriptions, documentation metadata or other page facts, then validate the output before it enters your system.
- Define a small set of clearly named fields.
- Tell the extractor to use visible source content.
- Represent missing information explicitly in your application.
- Validate types and inspect unexpected values.
- Retain the source URL and observation time.
Build a reviewable data pipeline
AI inference can return inaccurate or incomplete fields. A matching JSON shape does not prove factual accuracy. Compare important values against the page, keep uncertainty visible and avoid inventing contact details or numerical claims.
AIHackr Extract currently accepts one public URL per call. It is not a multi-source research, private browsing or automated enrichment service.
Try structured extraction
Follow the Extract API reference for a request example and limits, then read the validation guide to plan downstream checks.