Scribd Downloader

Scribd Scraper

jupri/scribd

💫 Search Scribd.com Documents

Scribd Scraper - Low-cost💲🔥📄📚

delectable_incubator/scribd-scraper-low-cost

📚🔍 Extract public Scribd documents by keyword with ease. Collect document titles, authors, page counts, upload dates, descriptions, categories, thumbnails, and document URLs. Ideal for academic research, content discovery, document indexing, knowledge management, and research dataset creation 📊🚀

Scribd Document Search Scraper

solidcode/scribd-scraper

[💰 $3.5 / 1K] Search Scribd by keyword and export structured metadata for every matching document, book, audiobook, sheet music, or podcast — title, author, type, page count, ratings, views, language, categories, and links.

Scribd Document Search Scraper 🔍📄📚 - Cheap

scrapestorm/scribd-document-search-scraper---cheap

📚 Quickly extract public Scribd documents using any keyword — ideal for researchers, curators, and analysts 🔍 Just enter a search term to get structured data like title, author, page count & upload date. Perfect for building content libraries or powering research tools 📈

Scribd Document Search Scraper 🔍📄📚 - Pay Per result

scrapestorm/scribd-document-search-scraper---pay-per-result

📚 Quickly extract public Scribd documents using any keyword — ideal for researchers, curators, and analysts 🔍 Just enter a search term to get structured data like title, author, page count & upload date. Perfect for building content libraries or powering research tools 📈

Basic document text extraction and processing. Extract text from documents, analyze document structure, and extract structured data from invoices and receipts. Perfect for document automation workflows.

PDF to Text API | Document Extraction for LLMs & RAG

andok/pdf-text-converter

Convert bulk PDF documents via URL into clean, raw text. The perfect document scraper for LLMs, vector databases, and RAG pipelines.

PDF & Document to Markdown - PDF, DOCX & HTML for LLMs

entranced_gelato/ai-document-reader

Turn any PDF, DOCX, TXT, or HTML document into clean, LLM-ready text + Markdown with metadata (title, pages, word count) and an optional AI summary. The document counterpart to a web reader — built for RAG ingestion, document Q&A, and AI agents (LangChain, LlamaIndex). Fast, structured, single-call.

Extract comprehensive metadata from PDF files (via URL). Get document title, author, subject, keywords, creation/modification dates, page count, PDF version, file size, and embedded properties. Perfect for document management, digital asset organization, and content research.