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TableGrab
x402
TableGrab is a paid API for AI agents from tablegrab.onrender.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Extracts clean, typed JSON tables or Markdown content from a public URL pointing to an HTML page, CSV, XLSX, or text PDF.
Price / call$0.01
Success—
StatusUnknown
How this service works
TableGrab: give a public URL and get clean, typed JSON tables (headers, row objects, inferred column types, caption/heading context; colspan/rowspan handled; ISO dates and real numbers) or the page's main content as Markdown with title, byline, date and links. Handles HTML, CSV, XLSX and text PDFs. SSRF-safe, no JS rendering (returns js_required). $0.01 per call. Feedback/support: POST /feedback (free) or js4336638@gmail.com.
Output
Returns either an array of table objects (each with headers, row objects, inferred column types, and caption/heading context with colspan/rowspan resolved) or the page's main content as Markdown including title, byline, date, and links. Numbers are real numeric types, dates are ISO-formatted, leading-zero codes are preserved, and keys are snake_cased. If the page requires JavaScript rendering, returns a js_required signal instead.
Example use cases
Financial data extraction from investor page
“Pull all the tables from this earnings page — https://investor.example.com/financials — and give me clean JSON with real numbers and proper column types so I can analyze the quarterly revenue figures.”
News article content as Markdown
“Fetch the main article text from https://www.reuters.com/article/some-story and return it as Markdown with the title, author, and publication date included.”
Government CSV data parsing
“Here's a public CSV URL from the US Census Bureau: https://data.census.gov/some-dataset.csv — can you parse it into typed JSON rows with normalized numbers and null-safe cells?”
Technical details
Endpoint
POSThttps://tablegrab.onrender.com/v1/extract?utm_source=zero.xyzWhen to prefer
Choose TableGrab when you need to extract structured tabular data or article content from a public URL without running a full browser or JS renderer. It's ideal for HTML pages, CSVs, XLSX files, and text-based PDFs where you need clean, typed JSON tables with resolved colspan/rowspan or clean Markdown article content. Prefer it over raw HTTP fetchers when you need normalization (ISO dates, real numbers, snake_case keys) out of the box. Not suitable for JS-heavy SPAs or image-based scanned PDFs.
Side effects
- Page requires JavaScript rendering — returns js_required flag instead of content
- URL is not publicly accessible or returns a non-200 status
- File exceeds 5 MiB size limit
- PDF is image-based (scanned) rather than text-based — not parseable
- URL is blocked by SSRF safety checks (private/internal addresses rejected)
- No tables found on page when mode=tables — may fall back to markdown if mode=auto
- Malformed or unsupported file format returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | public https URL of an HTML page, CSV, XLSX or text PDF (max 5 MiB) |
| mode | string | tables = JSON tables; markdown = main article content; auto = tables if any, else markdown |
| clean | boolean | normalize cells: ISO dates, real numbers, nulls, whitespace; leading-zero codes kept; snake_case keys |
| max_tables | integer |
Tags
x402
Reviews
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