Pricing

from $2.00 / 1,000 results

Try for free

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PDF Text Extractor — Text & Metadata from URLs

Try for free

Download PDF files by URL and extract their text and metadata (page count, title, author) — whole-document or per-page. Honest per-URL status. No auth.

Pricing

from $2.00 / 1,000 results

Rating

0.0

(0)

Developer

alaudin burki

Actor stats

Bookmarked

Total users

Monthly active users

5 hours ago

Last modified

What you get

Returns one clean, structured row per result. Every row reports its own status so you never get a silent blank.

How to use it

Fill in the input (see the example below).
Run it once for a snapshot, or schedule it to keep the data fresh.
Export to CSV/JSON/Excel, or push straight to Google Sheets, Notion, Airtable, Zapier, Make, or n8n.

Input

{
  "pdfUrls": [
    "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
  ],
  "perPage": false,
  "useProxy": false,
  "maxItems": 100000
}

Sample output

[
{
  "result": "example",
  "status": "ok",
  "scrapedAt": "2026-09-03T09:00:00.000Z"
}
]

Typical uses

RAG / AI pipelines — turn PDFs (reports, papers, manuals) into text.
Document processing — extract invoices/contracts text for downstream parsing.
Search indexing — index PDF contents.

Pricing

$2.00 / 1,000 results ($0.002 per result), plus a near-zero start fee. You are never charged beyond your limit, and blocked or failed items are reported honestly — not billed as data.

FAQ & limitations

Public data only — no login walls, no cookies required.
Rate limits on the source may require the proxy or a retry on very large pulls.
Every row reports its own status, so partial results are always labeled, never faked.
Integrations: output works with Zapier, Make, n8n, and any webhook via Apify's integrations.
Formats: results export as JSON, CSV, Excel, or HTML from the dataset.

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