Extract the text of every PDF linked on a web page

Created by

Teddy Wasserman

Actor

PDF Text Extractor - PDF to Text & Markdown for LLM/RAG

Scans a web page (for example an investor-relations, publications or forms page) for links to PDF files, optionally filtered by words in the link, and extracts the text and metadata of each PDF.

Try for free

PDF Text Extractor - PDF to Text & Markdown for LLM/RAGteddythebuilder/pdf-text-extractor

PDF

Title

Pages

Words

+4 fields

Input

Web pages with PDF links:https://www.irs.gov/forms-instructions

Only PDF links containing:w-4+1

Max PDFs:5

Max pages per PDF:0

Output fields

PDF

Title

Pages

Words

Created

Scanned (needs OCR)

Markdown

Error (free)

How it works

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The PDF Text Extractor - PDF to Text & Markdown for LLM/RAG Actor is ready to run with the inputs already set for "Extract the text of every PDF linked on a web page". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract the text of every PDF linked on a web page" task

The PDF Text Extractor - PDF to Text & Markdown for LLM/RAG Actor will start running based on the input automatically. You can also change all the input fields, like web pages with pdf links, only pdf links containing, and more, to match your specific use case.

Receive the "Extract the text of every PDF linked on a web 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 PDF, title, 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 "Extract the text of every PDF linked on a web page" task via API.