Documentation is one of the most underrated extraction targets. Reference pages are written to be consistent, they are almost always server-rendered, and they pack a lot of structured information into a predictable layout. If you have ever wanted a machine-readable version of an API reference, a CLI manual, or a glossary, the data is right there in the HTML.
What you can pull
Take a typical API reference page. Buried in the prose and code blocks is a clean record:
const endpoint = await client.extract({
url: "https://docs.example.com/api/users",
schema: {
method: z.string(),
path: z.string(),
summary: z.string(),
parameters: z.array(z.object({
name: z.string(),
type: z.string(),
required: z.boolean(),
})),
},
});Run that across every page in a reference and you have rebuilt a structured API spec from rendered docs, without anyone publishing one.
Why docs extract cleanly
Three properties make documentation friendly:
- Server-rendered. Most docs frameworks ship static HTML or render on the server, so the content is present on load. No waiting for a client-side framework to hydrate.
- Consistent structure. Docs are generated from templates. Every endpoint page, every component page, every command page looks the same. One schema covers the whole site.
- Information-dense. A single reference page often contains a dozen extractable fields, so the value per request is high.
A real use: keeping an integration in sync
Here is where this earns its keep. You depend on a third-party API. They change a parameter, deprecate an endpoint, or add a required field, and they announce it only in their docs. Extract the reference on a schedule, diff today’s structured output against yesterday’s, and you get an alert the moment the contract changes. No more finding out from a production error.
The honest caveat
Not all docs are this friendly. Some sites render entirely client-side, gate content behind a login, or change their layout with every release. The approach here works best on public, server-rendered references, which is most of them, but check before you build a pipeline on top of one.
Try it
Point it at a docs page you care about and describe the fields you want. Run the live demo, or start free to run it on a schedule.