Web scraping API with reusable extractors

Start from a concrete record

Scraipe accepts a URL and an extraction requirement. The useful starting point is the record your application needs: a product title and price, a list of article links, or another defined set of fields. Describe those fields before running a large job, then compare the result with the actual page.

The API supports extraction, reading, mapping and bounded crawling. These operations have different purposes. Reading returns page content; extraction returns structured values. Mapping helps discover URLs, while crawling processes a bounded group of pages. The API reference is the source of truth for parameters, authentication and limits.

Reuse a layout

When Scraipe learns an extraction layout, it stores a selector-based extractor. A later compatible page can use that extractor without another model call. Changes to a layout can require validation or repair. A cache hit, an unchanged response and extractor reuse are different request paths, so inspect the receipt rather than treating them as interchangeable.

Reuse can reduce model usage, but it does not make every possible request free. Network access and repairs can have separate charges. Use the current pricing page and calculator to understand the assumptions for your workload.

Inspect the evidence

Source selectors and raw values help explain where an extracted value came from. They make it possible to check a result against the page. They do not guarantee the selector identified the right field: a product price and a delivery price can both be real values on the same page.

Validate required fields, types, record counts and domain-specific rules before saving a dataset. Keep missing values explicit. A downstream application should distinguish a missing field from a zero price or an empty string.

Try a small workflow

Start with the approved JSON example, inspect the result and then use your own permitted URL in the playground. Keep API keys outside browser code and public repositories. Begin with a few representative pages and test a page that was not used to define the extractor.

For unsupported access, an interactive challenge or a rate limit, handle the documented error and stop or retry according to its meaning. See Read versus Extract for help choosing the first operation. Start with a small representative request before building a larger job.