The web scraping platform that returns AI-ready data

A web scraping platform is a hosted service that runs the whole collection pipeline for you: it fetches the page, gets past anti-bot checks, renders JavaScript when the content needs it, and parses what comes back into usable data. Instead of maintaining scrapers and the infrastructure under them, you send one request and receive clean Markdown or structured JSON.

Unit prices, billed only on success: $0.0002 per scraped page, $0.0005 per search, $0.0003 per crawled page and $0.0002 per batch URL. Pages and searches that need the rendering browser cost $0.001 and $0.002. There is no subscription and no monthly minimum; volume tiers discount list prices by up to 30%.

Every QuanticData account gets $2 of usage free every month, renewing, with no credit card — around 10,000 scraped pages or 4,000 searches at list prices. Open-source libraries such as Scrapy or Playwright are free to download, but you still pay for the servers, IP rotation and maintenance underneath them.

A web scraping API is a single endpoint that fetches one URL and returns its content. A platform covers the whole job around it: search, single pages, whole-site crawls, batch jobs over URL lists, ready-made collectors and browser agents — under one API key, one billing model and one response envelope, so you do not integrate four vendors to build one pipeline.

For most targets, no. Pages come back as clean Markdown you can feed straight to a model. When you need specific fields, pass a schema of CSS selectors, or describe what you want in plain language and let AI extraction pull it out. For 74 common sources there is a ready-made collector that takes a semantic input instead of a URL.

Scraping is about one page: you already know the URL and you want its content as data. Crawling is about discovery: from one seed URL the platform follows internal links breadth-first, up to depth 10, and returns every page it finds. Map does the discovery half alone — the URL list without the content.

Yes, and only when it is needed. The default auto engine tries a real-browser TLS fingerprint first — fast and cheap — and escalates to a stealth headless browser when the response looks like an anti-bot challenge. You can also force rendering per request for pages whose content only exists after JavaScript runs.

Markdown by default, plus HTML, plain text and page metadata — title, description, author, publish date, canonical URL. Structured extraction returns a typed JSON object, and responses can be chunked by heading, sentence or token count so they drop straight into a RAG pipeline or a vector database.

Batch takes up to 1,000 URLs per asynchronous job with shared options, webhooks and incremental polling. Crawl covers a whole site from a single seed URL, breadth-first to depth 10. Both settle honestly: the failed share of a job is refunded when it completes, and unused crawl pages are refunded automatically.

Yes. An MCP server exposes every API as a native agent tool — search, scrape, crawl, map, batch and the collectors — so Claude, Cursor or your own agent can collect data without glue code. Run it with npx -y quanticdata-mcp and a QUANTICDATA_API_KEY; everything else speaks plain REST.

Collecting publicly accessible data is generally lawful in most jurisdictions, but site terms, copyright and privacy rules still apply and case law differs by country. Collect public pages, respect the target's terms, avoid personal data you have no basis to process — and get legal advice for your specific case, because this answer is not it.