Generate multiple schema formats
Turn a URL into a learned schema and receive the result as JSON Schema, Zod, or Pydantic output depending on the page view and API request.
Schema Source from Tabstack
Schema Source from Tabstack generates JSON Schema, Zod schema, or Pydantic models from a URL for developers who need structured output and a documented JSON endpoint.
Overview
Schema Source from Tabstack is a URL-to-schema generator that extracts structured data from a page and presents it as JSON Schema, Zod, or Pydantic output. The home page positions it as a way to generate schema from any URL, while the docs show that every schema page also functions as a JSON endpoint.
The product is aimed at developers who need a programmatic representation of page content. It can return cached schema data for known URL patterns, and it supports browser access, HTTP content negotiation, and a documented JSON response shape for API consumption.
Features
Dual HTML and JSON delivery
The same `/get/...` page serves HTML for browsers and JSON for API clients, so documentation and API access live on the same host.
Cached schema responses
Schema pages expose a JSON endpoint with cached results, which lets repeat requests reuse previously extracted schemas.
Content negotiation for API use
The docs show how to fetch schemas with either a browser-friendly `?format=json` query or an `Accept: application/json` request header.
Pattern-based URL extraction
Supported examples include patterns for `reddit.com/r/[subreddit-name]` and `producthunt.com/products/[product-slug]`, showing that the tool learns URL-specific schemas from known site shapes.
Use Cases
Generate schemas for page-specific data
Pull structured data from a known URL pattern when you need a machine-readable schema for downstream processing or validation.
Integrate schema lookup into an application
Call the JSON endpoint from code to retrieve cached schema output for repeated requests to the same URL.
Build against a documented API
Inspect documented response shapes, error codes, and rate limits before wiring the endpoint into a client or automation flow.
Work with learned site patterns
Use the pattern examples as a reference when mapping site-specific pages such as subreddit listings or Product Hunt product pages.
Pros and Cons
Pros
- Produces structured schema output from a URL instead of requiring manual modeling.
- Supports multiple output styles, including JSON Schema, Zod, and Pydantic.
- Uses the same host for web pages and JSON endpoints, which keeps access simple.
- Returns cached results for repeat requests to reduce repeated extraction work.
- Documents errors, rate limits, and response shape clearly enough for API integration.
Cons
- The source only shows a few example patterns, so the breadth of supported sites is not fully documented here.
- Pricing details are not visible in the collected page text, so the commercial model is unclear from this evidence alone.
- The docs note that the first request may take a few seconds because extraction happens synchronously.
FAQ
How do I get JSON instead of the web page?
Browsers receive HTML from the same host, while API clients can request JSON by appending `?format=json` or sending `Accept: application/json`. The query string takes precedence over the header.
Do I need to URL-encode the input URL?
No. The server decodes the URL path with `decodeURIComponent` and also falls back to the raw string if decoding fails.
What happens when a URL has not been crawled yet?
The first request for a URL triggers extraction synchronously and may take a few seconds. Later requests for the same URL are served from cache.
Is there a rate limit?
The `/get/*` endpoint is rate limited to 60 requests per minute per IP. Responses include `RateLimit-Limit` and `RateLimit-Remaining`, and 429 responses include `Retry-After`.
What errors can the API return?
Error responses use a shared shape: `{ "error": { "code", "message" } }`. Documented codes include `BAD_URL`, `RATE_LIMITED`, `EXTRACTION_FAILED`, `UPSTREAM_UNAVAILABLE`, and `EXTRACTION_TIMEOUT`.
Quick Facts
- Category
- Developer Tool
- Primary output
- JSON Schema, Zod, and Pydantic
- Access pattern
- Web pages plus JSON endpoint on the same host
- Source domain
- schema.tabstack.ai
- Supported example patterns
- Reddit subreddit pages and Product Hunt product pages
- Pricing
- Not stated in the collected page text
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