PDF Evidence Reader

PDF Scraper

onidivo/pdf-scraper

Scrape and extract text from PDF links.

Hyper Reader

ai_solutionist/hyper-reader

High-fidelity web extraction for AI agents. Clean Markdown optimized for Claude, GPT-4 & Gemini. 3-level stealth, Vision screenshots, Deep Read link following. Standby Mode for 1-second responses.

PDF Parser API

george.the.developer/pdf-parser-api

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.

Web2PDF

moving_beacon-owner1/url-to-pdf

Convert any web page into a polished, high-quality PDF. This actor takes one or more URLs, renders them (including JavaScript-heavy pages), and exports them into clean, printable PDFs with consistent layout and typography.

Convert public text PDFs into page-numbered text and metadata with download links, document hashes, and explicit coverage. Up to 25 total pages and 10 MB per PDF.

Check up to 500 domains using public RDAP and DNS evidence, with conservative registered, likely-available, or unknown classifications.

Name, brand, price, currency, stock, rating, images, SKU/GTIN and variants from a product page's schema.org JSON-LD, microdata or Open Graph tags. One JSON record per URL. Product Data Extractor API.

PDF Text Extractor: Text and Pages from PDF Links | $1/1K

one_dollar_store/pdf-text-extractor-scraper

$1 per 1,000 results, platform usage included. Extracts text, page count and document details (title, author, dates) from PDF files at web links, one row per PDF or per page. Text layer only, no OCR. Up to 25 MB per file. No login or API key.

Fetch any URL and return clean markdown/text plus links. No headless browser for most pages. Free demo: https://vaytric.com/page-to-markdown/ — bulk URL lists here.

Turn public web pages and PDF links into clean Markdown plus title, description, and word count. Built for LLM and RAG ingestion.