Pricing

Pay per event

PDF Text Extractor — tables, text and data to clean JSON

Extract every table from PDF files into clean, header-mapped JSON rows. Built for AI agents, data pipelines, and spreadsheet workflows. Pay per document processed.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Dos

Actor stats

Bookmarked

Total users

Monthly active users

19 hours ago

Last modified

What it does

Downloads each PDF (up to 100 per run, 50 MB each)
Scans the pages you choose (all, 1-5, or 1,3,7-9)
Extracts every table on those pages
Maps each table to {headers, rows} where rows is a list of {column: value} objects
Outputs one dataset item per document: {url, status, n_tables, tables[]}

Why agents use it

Financial reports, invoices, government publications, price lists, timetables — the world's structured data ships inside PDFs. This actor turns that into JSON your workflow can actually use, in one call. Works as an MCP tool out of the box.

Input example

{
    "pdf_urls": ["https://example.com/report.pdf"],
    "pages": "all"
}

Pricing

Pay-per-event: a small fee per document processed plus a micro-fee per table extracted. No subscription, no minimum.

Notes & limits

Text-based PDFs only (scanned/image PDFs need OCR — not included in v0.1; tell us if you need it and it becomes v0.2)
Documents that fail or contain no tables are reported with status so your pipeline can branch cleanly

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