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from $2.00 / 1,000 page extracteds

PDF Extractor: Structured Text + Metadata

Point it at one or many PDF URLs. Get clean structured JSON back: full text, per-page text, title, author, page count, and word count. Ready for RAG, search, or doc automation.

Pricing

from $2.00 / 1,000 page extracteds

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20 hours ago

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Configure MCP server with PDF Extractor: Structured Text + Metadata

Get a ready-to-use configuration for your MCP client with the PDF Extractor: Structured Text + Metadata Actor preconfigured at mcp.apify.com?tools=aitoolbreakdown/atb-pdf-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.

PDF Toolkit — Extract Text, Metadata & Page Count

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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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Analyze word count and content depth of any web page. Get word count, sentence count, paragraph count, heading count, and SEO content assessment for one or multiple URLs in a single run.

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✅ Extract public Facebook Page followers count, following count, and profile metadata from one or multiple page URLs. Ideal for social media analysis, competitor research, influencer tracking, and automation workflows. Clean, structured JSON output with reliable public data.