Under maintenance

Pricing

Pay per usage

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PDF Text Extractor Batch

Under maintenance

Try for free

Extract text and document metadata from a bounded batch of public PDF URLs.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

snapperwapper

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Input

{
  "pdfUrls": ["https://example.com/report.pdf"],
  "timeoutSecs": 30,
  "maxTextChars": 1000000
}

pdfUrls: 1–50 public HTTP(S) PDF URLs.
timeoutSecs: 1–120 seconds per request.
maxTextChars: 1–5,000,000 returned characters per PDF.

Each download is streamed into bounded memory and rejected above 20 MB. Redirects are limited and every target is DNS-checked to block localhost, private/link-local networks, credentials, and non-HTTP schemes.

Output

Successful rows contain url, status, text, textLength, textTruncated, pageCount, and metadata. Failed rows contain url, status: "error", and error.code/error.message.

Limits and rights

This Actor performs text extraction only: no OCR, browser, proxy, paid API, login/paywall bypass, or binary persistence. PDF bytes exist only in bounded memory for parsing and are never pushed to Apify storage. Process only user-supplied public URLs that you are authorized to access, and ensure you have the necessary rights for downstream storage and reuse of extracted content.

Local development

Requires Node.js 22 or newer.

npm ci
npm test
apify validate-schema

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