Pricing

from $3.50 / 1,000 results

Scribd Document Search Scraper

[💰 $3.5 / 1K] Search Scribd by keyword and export structured metadata for every matching document — title, author, type, page count, ratings, views, language, categories, and direct reader and download links. One tidy row per document, many keywords per run.

Pricing

from $3.50 / 1,000 results

Rating

0.0

(0)

Developer

SolidCode

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Developer tools

Automation

Other

Search Queries

queries

Optional

Keywords to search on Scribd (e.g., 'business plan template' or 'machine learning'). Each query produces its own set of results. Add several queries to run them all in one go.

Type:array

Maximum Results per Query

maxResultsPerQuery

Optional

How many documents to return for each search query. Set to 0 to collect all available results for the query (capped at 10,000 per keyword). Results are returned in pages of 40, so the final page may slightly overshoot this number rather than be cut off mid-page.

Type:integer

Minimum:0

Maximum:10000

Default:100

Language

language

Optional

Prefer results in this language. Scribd biases results toward your choice, but coverage depends on how much content exists for each keyword, so some results may still appear in other languages. Choose 'Any language' for no preference.

Type:string

Default:any

Options:

any1413598161437611998478891017609370

Scribd Downloader

apisupply/scribd-downloader

Download publicly accessible Scribd documents as PDF files with ease. Simply provide the document ID from any Scribd URL (e.g., scribd.com/document/528017616/...) and the Actor will automatically fetch and save the file. Automate document retrieval, bulk downloading workflows.

apisupply

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 📊🚀

Prime Scrape

5.0

Scribd Scraper

jupri/scribd

💫 Search Scribd.com Documents

cat

159

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 📈

Storm_Scraper

Scribd Document Search Scraper 🔍📄📚 - Cheap

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

Storm_Scraper

5.0

Elite Document Ocr Lite

thepattyroller/elite-document-ocr-lite

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.

Logan Kiser

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.

AIDevs

Ai Document Qa

vivid_astronaut/ai-document-qa

BRAINIALL Team

Document Intelligence Extractor

incomeenginelabs/document-intelligence-extractor

Extract structured intelligence from document text for AI, RAG and automation workflows. Detect document type, dates, money, emails, phone numbers, URLs, headings, named-entity candidates, statistics and possible PII. Returns machine-readable JSON.

James Holzer

Federal Register Scraper

parseforge/federal-register-regulatory-notices-rules-scraper

Scrapes Federal Register documents by keyword, agency, date range, document type, or significance. Returns each document as a flat row with full text and metadata.