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PDF Text Extractor - Page by Page

Turn a PDF URL into one clean text row per page, with character count and total page count, as JSON. Built for search and citation use cases that need page-addressable text instead of one giant blob.

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PDF Text Extractor
PDF Text Extractorrowfeed/pdf-page-text-extractor
URL
Page
Total pages
Characters
+2 fields
Text
Number
Boolean
List
Object

Input

PDF URLs:https://www.irs.gov/pub/irs-pdf/fw9.pdf+1
Max pages per PDF:10

Output fields

URL
Page
Total pages
Characters
Title
Text

How it works

Sign up on Apify or log in

The PDF Text Extractor Actor is ready to run with the inputs already set for "PDF Text Extractor - Page by Page". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "PDF Text Extractor - Page by Page" task

The PDF Text Extractor Actor will start running based on the input automatically. You can also change all the input fields, like PDF URLs and max pages per pdf, to match your specific use case.

Receive the "PDF Text Extractor - Page by Page" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as URL, page, total pages, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "PDF Text Extractor - Page by Page" task via API.

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Integrate "PDF Text Extractor - Page by Page" into your workflow

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