Schema Source from Tabstack logo

Schema Source from Tabstack

Beanspruchen

Schema Source from Tabstack turns any URL into JSON Schema, Zod, or Pydantic output for developer workflows, with browser viewing and JSON API access on one host.

Schema Source from Tabstack preview

Overview

Schema Source from Tabstack is a web-based generator that turns a URL into a structured schema. It is positioned for developers who need JSON Schema, Zod schema, or Pydantic output derived from the contents or layout of a page rather than hand-written models.

The product exposes the same schema pages as both HTML and JSON endpoints. Its docs show a simple `/get/` workflow, where the first request performs extraction and later requests reuse the cached result, making it suitable for repeat lookups and API-driven use.

Core features

Schema generation from arbitrary URLs

Generate a schema from any URL through the `/get/` path. The homepage shows example targets such as Reddit, Techmeme, Zillow, Product Hunt, and Amazon pages.

HTML and JSON delivery from one endpoint

Each schema page can be requested as JSON using content negotiation or `?format=json`, so the same endpoint works for browser viewing and API consumption.

Cached schema responses

The docs show schema output can be consumed from cached responses after the first extraction, which avoids repeating the upstream extraction work on later requests.

Multiple schema formats

Generated pages expose multiple output formats, including JSON Schema, Zod, and Pydantic, so the same extracted structure can be reused in different stacks.

API-friendly workflow

The docs provide example client requests with `curl` and `fetch`, making the service straightforward to integrate into scripts and applications.

Pattern detection on supported pages

If a URL has not been matched to a learned pattern, the response includes `pattern: null`, which signals that the extraction did not map to a known site template.

Common use cases

  • Turn a page into a schema

    Use the service when you want a schema representation of a public URL and prefer not to model the page structure by hand.

  • Automate schema retrieval

    Use the JSON endpoint in a script or backend service when you need machine-readable schema output that can be fetched programmatically.

  • Seed application schemas

    Use the generated output as a starting point for validation or typed data models in codebases that rely on Zod or Pydantic.

  • Reuse previously extracted schemas

    Use cached results for URLs you query repeatedly, reducing the need to re-run extraction on every request.

Pros and Cons

Pros

  • Supports three common schema targets: JSON Schema, Zod, and Pydantic.
  • Works with arbitrary URLs rather than only a fixed set of predefined sources.
  • Can be used from a browser or as a JSON API, depending on the request headers or query string.
  • Returns cached results after the first extraction for repeat access.
  • Provides concrete request examples in both `curl` and JavaScript fetch syntax.

Cons

  • The first request for a new URL can take a few seconds because extraction happens synchronously before the result is cached.
  • The docs indicate that some URLs may not match a learned pattern, in which case `pattern` is `null`.

FAQ

Can I get JSON instead of the web page?

Yes. The docs show that every schema page is also a JSON endpoint. You can request the same `/get/` URL with `Accept: application/json` or add `?format=json` to force JSON.

Do I need to URL-encode the URL I send?

No. The docs say you do not need to URL-encode the URL, although encoded URLs also work. The server decodes the path and falls back to the raw string if decoding fails.

What happens the first time I request a URL?

The first request for a URL triggers extraction synchronously and may take a few seconds. After that, the result is served from cache.

What kinds of schema outputs are supported?

The docs list JSON Schema, Zod schema, and Pydantic model as supported outputs. The product pages also show those output tabs on the generated schema pages.

Is there a rate limit?

The docs state a per-IP rate limit of 60 requests per minute on `/get/*`. Responses include `RateLimit-Limit` and `RateLimit-Remaining` headers, and 429 responses include `Retry-After`.

Quick Facts

Category
Developer Tool
Primary output formats
JSON Schema, Zod, Pydantic
Access method
Web UI and JSON API on the same host
Docs workflow
Request `/get/<url>`; first request extracts, later requests use cache
Rate limit
60 requests per minute per IP on `/get/*`
Source URL
schema.tabstack.ai