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PDF Text Extractor - Text, Metadata & Page Count from PDF URL

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$0.5/1K 🔥 PDF text extractor API! Extract full text, metadata & page count from any PDF URL — ready for RAG, LLMs & AI pipelines. No API key. Export JSON, CSV, Excel or API in seconds ⚡

Pricing

from $0.50 / 1,000 results

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(0)

Developer

ninhothedev

Actor stats

Bookmarked

Total users

Monthly active users

11 days ago

Last modified

Categories

Developer tools

Mode

mode

Required

Operation mode. 'extract' downloads each PDF URL and extracts its text, page count and document metadata.

Type:string

Default:extract

Options:

extract

PDF URLs

urls

Optional

Direct links to PDF files to extract. Each URL should point to a downloadable PDF (redirects are followed). Non-PDF URLs are logged and skipped.

Type:array

Include per-page text

includePages

Optional

If enabled, output a 'pages' array with the extracted text of each page separately (each page capped at 20,000 characters). Off by default to keep items small.

Type:boolean

Default:false

Maximum items

maxItems

Optional

Maximum number of PDFs to process and store in the dataset. Ranges from 1 to 1000.

Type:integer

Minimum:1

Maximum:1000

Default:100

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