Turn any web page into typed JSON for your AI agent (with a source quote for every value)

LLM agents are great at reasoning and bad at reading messy HTML. The usual fix is a custom scraper per site, which breaks every time the site changes.

Webpage to JSON for AI Agents takes a URL and a plain-English description of the fields you want, and returns typed JSON. Every value comes with a quote from the page, so you can check it isn't made up.

{ "urls": [ "https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html" ], "instruction": "Extract the book title, price as a number, currency code, and whether it is in stock." } Enter fullscreen mode Exit fullscreen mode Output (real run):

{ "data": { "title": "A Light in the Attic", "price": 51.77, "currencyCode": "GBP", "inStock": true }, "evidence": { "title": "# A Light in the Attic", "price": "£51.77" }, "unverifiedFields": [] } Enter fullscreen mode Exit fullscreen mode Useful options

from apify_client import ApifyClient client = ApifyClient ( " <YOUR_APIFY_TOKEN> " ) run = client. actor ( " s3nafps/webpage-to-json-for-ai-agents " ). call ( run_input = { " urls ": [ " https://example.com/pricing " ], " instruction ": " List each plan with name, monthly price and included seats. " }) for item in client. dataset ( run [ " defaultDatasetId " ]). iterate_items (): print ( item [ " data " ]) Enter fullscreen mode Exit fullscreen mode Use it as an MCP tool: add https://mcp.apify.com/?actors=s3nafps/webpage-to-json-for-ai-agents to Claude, Cursor or any MCP client, and your agent can call it directly.

The LLM cost is included. You pay $0.03 per page with data and nothing for pages where no data was found.