Pricing

$10.00 / 1,000 pdf extracteds

PDF Text & Table Extractor — PDF URL to Structured JSON

Extract text and tables from PDF files. Send PDF URLs; get JSON back with per-page text, detected tables as row arrays, page count and metadata. Deterministic parsing, no model inference. Docs: https://toolkitlabs.org/?s=apify-pdf

Pricing

$10.00 / 1,000 pdf extracteds

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Developer

Toolkit Labs

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Monthly active users

2 days ago

Last modified

PDF Text & Tables Extractor

Give it direct links to PDF files. It downloads each one, pulls out the text page by page, detects tables and returns them as rows, and writes one dataset item per PDF.

What you get back, per PDF

field	meaning
`url`	the link you supplied
`ok`	`true` when text or a table came out
`pages`	pages read
`characters`	characters of text extracted
`text`	the text, pages joined with a newline
`tables`	`[{ "page": n, "rows": [[cell, ...], ...] }]`
`error`	why a link produced nothing, when it produced nothing

Input

{
  "urls": ["https://www.irs.gov/pub/irs-pdf/fw9.pdf"],
  "extractTables": true,
  "maxPages": 0
}

maxPages: 0 reads every page. extractTables: false returns text only.

Price

Pay per event: $0.01 per PDF extracted. A link that returns no text and no table is not charged.

How it works

One Python file and one library, pdfplumber (MIT). No model inference, no proxy, no third-party service, no telemetry, and nothing is stored beyond the dataset the run writes for you. Files above 25 MB and responses that are not PDFs are refused before parsing, with the reason in error.

Text extraction reads what the PDF actually contains. A scanned page with no text layer returns no text — this Actor does not do OCR.

Public domain (CC0-1.0).

Other deterministic tools from the same shop, and the free JSON-repair leaderboard: https://toolkitlabs.org/?s=apify-pdf

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