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PDF Text Extractor — PDF to Text, Pages & Metadata from URLs

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PDF Text Extractor: convert PDFs from any URL to clean text, page by page, with title, author, dates, page count and word count. Bulk-process hundreds of PDF links for RAG, LLM and AI pipelines, search indexes or data entry. Flags scanned PDFs honestly. No API key. Pay per PDF.

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Pay per event

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IntelScrape

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4 days ago

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Configure MCP server with PDF Text Extractor — PDF to Text API for URLs

The configuration above connects to the hosted Apify MCP server with the PDF Text Extractor — PDF to Text API for URLs Actor already loaded. It uses OAuth, so your client opens a browser window to sign you in to Apify on first use. No API token is needed. Clients without OAuth support can authenticate with an Authorization: Bearer header carrying an API token from API & Integrations in Apify Console.

Get a ready-to-use configuration for your MCP client with the PDF Text Extractor — PDF to Text API for URLs Actor preconfigured at https://mcp.apify.com/?tools=fetch-actor-details,intelscrape/pdf-text-extractor.

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

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dainty_screw/pdf-text-extractor-pro

PDF Text Extractor lets you quickly extract text from PDF files with high accuracy. Supports text chunking for AI, chatbots, and large language models (LLMs), making PDF-to-text conversion fast, clean, and ready for NLP or machine learning.

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(1)

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Turn PDFs and images into clean text and Markdown for AI, RAG and search. Paste links (Google Drive and Dropbox too) or a page that links to PDFs. Get headings, pages, chunks, links, form fields and metadata. OCR for scans and images. $4 per 1,000 PDFs.