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Extract every link from a PDF

The clickable link annotations in the document, with the target URL and where on the page the link sits. These are the real link objects, not URLs guessed from the text, so a link whose visible label differs from its destination is still reported correctly.

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PDF to JSON Extractor — Tables, Fields & Structure
PDF to JSON Extractor — Tables, Fields & Structurepower_on/pdf-to-json-extractor
PDF
Pages
Links (page, URL, position)
Pages charged
Text
Number
Boolean
List
Object

Input

PDF files(required):https://www.irs.gov/pub/irs-pdf/p15.pdf
Extract links:true
Max pages per document:6
Output formats:json

Output fields

PDF
Pages
Links (page, URL, position)
Pages charged

How it works

Sign up on Apify or log in

The PDF to JSON Extractor — Tables, Fields & Structure Actor is ready to run with the inputs already set for "Extract every link from a PDF". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract every link from a PDF" task

The PDF to JSON Extractor — Tables, Fields & Structure Actor will start running based on the input automatically. You can also change all the input fields, like PDF files, extract links, and more, to match your specific use case.

Receive the "Extract every link from a PDF" 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 PDF, pages, links (page, url, position), 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 "Extract every link from a PDF" task via API.

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