Extract text from white papers and research papers (PDF)

Created by

Rowcraft

Actor

PDF Text Extractor: Text, Pages and Metadata from PDF Links

The full text of three famous technical papers (Bitcoin, Ethereum and Google MapReduce) from their PDF links, with the text of each page in its own list so you can cite pages or split the text for search and AI tools. Replace the links with your own papers.

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PDF Text Extractor: Text, Pages and Metadata from PDF Linksrowcraft/pdf-text-extractor

Address that answered, after redirects

Title from the document information, or the first line of the first page

Number of pages of the PDF

The text of the pages read, with a page marker between pages

Input

PDF links(required):https://bitcoin.org/bitcoin.pdf+2

Text of each page as a list:true

Output fields

Address that answered, after redirects

Title from the document information, or the first line of the first page

Number of pages of the PDF

The text of the pages read, with a page marker between pages

How it works

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The PDF Text Extractor: Text, Pages and Metadata from PDF Links Actor is ready to run with the inputs already set for "Extract text from white papers and research papers (PDF)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract text from white papers and research papers (PDF)" task

The PDF Text Extractor: Text, Pages and Metadata from PDF Links Actor will start running based on the input automatically. You can also change all the input fields, like PDF links and text of each page as a list, to match your specific use case.

Receive the "Extract text from white papers and research papers (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 address that answered, after redirects, title from the document information, or the first line of the first page, number of pages of the pdf, and more.