Pricing

from $5.00 / 1,000 pdf extracteds

PDF Text Extractor - Bulk PDF to Text & Metadata

Extract text and metadata from any PDF URL in bulk. Get page content, author, title, creation date, and more. Detects scanned PDFs that need OCR. Perfect for document analysis, research, and compliance.

Pricing

from $5.00 / 1,000 pdf extracteds

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NanoScrape

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Monthly active users

3 months ago

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Configure MCP server with PDF Text Extractor - Bulk PDF to Text & Metadata

Get a ready-to-use configuration for your MCP client with the PDF Text Extractor - Bulk PDF to Text & Metadata Actor preconfigured at mcp.apify.com?tools=santamaria-automations/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 Text Extractor

automation-lab/pdf-text-extractor

Extract text, metadata, and page-by-page content from PDF files. Provide PDF URLs and get structured JSON with full text, per-page text, page count, author, title, creation date, and more. Export as JSON, CSV, or Excel. No browser or proxy needed.

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PDF Toolkit — Extract Text, Metadata & Page Count

accurate_pouch/pdf-toolkit

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Instant API that parses any PDF from a URL — extracts full text, page count, metadata (title, author, dates), and PDF version. Returns structured JSON. Perfect for document processing pipelines and AI agents.

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scrapier/pdf-text-extractor

📄✨ PDF Text Extractor converts PDFs to clean, searchable text in seconds. Extract content for SEO, research, data entry & document processing—fast, accurate, and easy to use. 🚀 Perfect for analysts, developers & teams handling PDFs.

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scraper-engine/pdf-text-extractor

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Pdf Text Extractor Pro

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.