PDF Text Extractor - Extract Text from PDF by URL API
Pricing
$50.00 / 1,000 pdf processeds
PDF Text Extractor - Extract Text from PDF by URL API
Extract text from PDF by URL. Input: url of a PDF. Output: JSON with full extracted text, page count, and document metadata (title, author, dates). Built for RAG pipelines, document QA, and agents. Pay-per-result at $0.05 per PDF processed.
Pricing
$50.00 / 1,000 pdf processeds
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Developer
Anthony Snider
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20 hours ago
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PDF Text Extractor
Turn any PDF URL into clean, structured text and metadata — the document reader your AI agents need for RAG and document QA.
Live on the Apify Store — run it instantly or call it as an agent tool via Apify MCP.
What you get
- Full text extracted from the PDF, ready to embed or summarize.
- Page count (
pages) and character count (characters). - Document metadata (
info): title, author, subject, creator, producer, and creation/modification dates. - Bulk mode: pass many PDF URLs and get one result object per document.
- Robust per-PDF handling — one bad URL never fails the whole run; failures return an
errorfield instead.
Input
{"url": "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf","urls": ["https://example.com/report.pdf","https://example.com/whitepaper.pdf"],"maxPdfs": 25}
Provide url, urls, or both. PDFs are capped at ~20MB each.
Output
One dataset item per PDF:
{"url": "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf","pages": 1,"characters": 14,"info": {"title": null,"author": null,"subject": null,"creator": null,"producer": "Skia/PDF m79","creationDate": null,"modificationDate": null},"text": "Dummy PDF file"}