PDF Text Extractor

Puppeteer Scraper

apify/puppeteer-scraper

Crawls websites with the headless Chrome and Puppeteer library using a provided server-side Node.js code. This crawler is an alternative to apify/web-scraper that gives you finer control over the process. Supports both recursive crawling and list of URLs. Supports login to website.

PDF Text Extractor – PDF to Text, Metadata & Pages

haketa/pdf-text-extractor

Extract clean text and metadata from any PDF by URL: full text, per-page text, page count, title, author, dates and producer. No browser, no OCR needed for text PDFs. Ideal for AI/RAG, search and document data extraction. Export to JSON, CSV or Excel.

Website Content Crawler

parseforge/website-content-crawler

Crawls websites from starting URLs and returns each page's full text content as Markdown and cleaned HTML, ready for AI and LLM pipelines.

PDF Text Extractor

parsebird/pdf-text-extractor

Extract text and metadata from PDF files by URL: title, author, page-by-page text, embedded metadata, and optional Markdown conversion.

PDF Text Extractor - Text, Metadata & Page Count from PDF URL

ninhothedev/pdf-text-extractor

$0.5/1K 🔥 PDF text extractor API! Extract full text, metadata & page count from any PDF URL — ready for RAG, LLMs & AI pipelines. No API key. Export JSON, CSV, Excel or API in seconds ⚡

PDF URLs in, clean text out: full text, per-page text, title/author/page-count metadata. No browser, no OCR overhead — fast digital-PDF extraction. You only pay for PDFs that actually extract; failures are free.

PDF Text Extractor — Text & Metadata from URLs

darknezz/pdf-text-extractor

Extract clean text and metadata from any PDF by URL: full text, page count, title, author, dates as JSON. Perfect for AI pipelines, RAG ingestion, document search and content analysis. No API key needed.

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.

PDF Text & Table Extractor — PDF URL to Structured JSON

toolkitlabs/pdf-text-tables

Extract text and tables from PDF files. Send PDF URLs; get JSON with per-page text, detected tables as row arrays, page count and metadata. Deterministic parsing, no model inference.

Extract clean, structured text from any PDF by URL, page by page. Returns one row per page with de-hyphenated, whitespace-normalized text. Fast, no setup.