Scribd Scraper | Documents, Authors and Views (2026)

From SilentFlow. Creators of Facebook Search Scraper and Pinterest Scraper, with 570,000+ combined lifetime runs.

Every public Scribd document you can find with a keyword, a link or an ID, as one clean row: title, uploader and profile, pages, words, views, rating, upload date, real language, license, file formats and table of contents. 100 documents in about 40 seconds.

Why choose this actor?

Opening Scribd results one by one to copy a title, an uploader and a view count? Running a tool that takes a document ID and hands back a file link with nothing you can sort or filter? Working from a list where every document says "English", including the French ones?

• 27 data fields on every document, not a status message. Each row has 33 columns. On our default run (the keyword "business plan", 100 rows), 27 data fields were filled on at least half of the rows, and 100 of 100 rows carried the word count, license, file formats, uploader profile, upload date and vote counts. The document page is read for every row, so 14 of those 100 documents came back with their real language (13 French, 1 Indonesian) where the search card says English.
• Three ways in: a keyword, a Scribd link or a document ID. Type what you would type in the Scribd search box, paste document, search or profile links from any language site, or paste document IDs. One mixed run (1 profile, 1 Spanish search link, 4 IDs) returned 31 rows in 13 seconds, and the one removed ID was reported in the log instead of landing in your data as an empty row.
• Nothing to fill in before your first run. No field is required, no Scribd account, no API key. The form opens with a keyword already in place: press Start and the first 40 documents arrive in about 15 seconds.

Try your first document search

Paste this input in the Input tab, or send it through the API, and run it. You get the first 100 documents Scribd ranks for "business plan", each with its uploader, pages, words, views, rating, upload date, language, license and file formats. Our test run returned 100 rows in 39 seconds.

{
  "searches": ["business plan"],
  "maxItems": 100
}

The Apify Free plan is enough to run it: no credit card, no Scribd account, no API key.

Copy to your AI assistant

Paste this block into Claude, ChatGPT, Cursor or any coding assistant to give it the full picture of this actor:

You have access to the Scribd Scraper on Apify: silentflow/scribd-scraper
It reads public documents uploaded to Scribd (scribd.com). One row = one document.
Ebooks and audiobooks (sold on Everand) are not read. Files are not downloaded: rows carry metadata and links.

Input (no field is required; give at least one of searches, startUrls, documentIds):
- searches (array of strings): keywords as typed in the Scribd search box, e.g. ["business plan"].
- startUrls (array of {url}): scribd.com links from any language site:
  document links (/document/{id}/..., /presentation/{id}/..., /embeds/{id}/content),
  search links (/search?query=...&filters=...), profile links (/user/{id}/{name}).
- documentIds (array of strings or numbers): document IDs such as "104915100"; document links work too.
- maxItems (integer, default 100): max rows per keyword, search link or profile. 40 documents per search page.
- language (string): ISO 639-1 code, ISO 639-2 code or name, e.g. "es", "spa", "Spanish", "Español".
- fileTypes (array): any of "pdf", "word", "epub", "presentation", "spreadsheet". Empty = all.
- pageRange (string, default "any"): "any", "1-3", "4-100" or "100+".
- uploadedWithin (string, default "any"): "any", "1week", "1month", "3month", "6month" or "1year".
- includeDetails (boolean, default true): read each document page. false = search card data only, faster.
- debugMode (boolean, default false).

Output per row (33 fields, missing values are null, missing lists are []):
- id (string, stable Scribd document id), url (permanent reader link), title, displayTitle, documentType (document | presentation)
- description, language (English name), languageCode (ISO 639-1), categories (array), topics (array),
  tableOfContents (array of {title, page}), license, isbn
- pageCount, wordCount, fileTypes (array), formats (array of {extension, fileSize}), isDownloadable (boolean)
- author, authorId, authorUrl (Scribd profile)
- views (integer), rating (0-5, null without votes), ratingCount, upvoteCount, downvoteCount
- releasedAt (upload date, RFC 3339; from keyword and search link rows)
- imageUrl (cover), thumbnailUrl, embedUrl, translations (array of {language, languageCode, id, url})
- searchQuery (the input that produced the row), scrapedAt (RFC 3339 UTC)

Use apify-client for Python or JavaScript: client.actor("silentflow/scribd-scraper").call(run_input={...}),
then read the default dataset. Dataset views: overview, files, authors.

How to scrape Scribd documents

Get the most read documents on a topic

The simplest run: one keyword, the default 100 rows. Sort the dataset by views to see what people actually open.

{
  "searches": ["machine learning notes"]
}

Find short Spanish PDF contracts

Filters stack: here only Spanish documents, uploaded as PDF, between 1 and 3 pages. Our run of this input returned 30 rows, all 30 in Spanish and all 30 between 1 and 3 pages.

{
  "searches": ["contrato de arrendamiento"],
  "language": "Spanish",
  "fileTypes": ["pdf"],
  "pageRange": "1-3",
  "maxItems": 30
}

Check a list of Scribd documents by ID

Paste the IDs or links you already have. Each one returns one full row, or a line in the log when the document was removed.

{
  "documentIds": ["104915100", "86604919", "1087636074"],
  "startUrls": [
    { "url": "https://www.scribd.com/user/96390622/Christian-Gonzalez-Carrasco" }
  ]
}

Input parameters

Field	Type	Default	What it does
searches	list of text	["business plan"] (prefill)	Keywords, each one its own search, in the order Scribd ranks results.
startUrls	list of links	none	Scribd document, search or profile links, from any language site.
documentIds	list of text or numbers	none	Scribd document IDs, or full document links.
maxItems	integer	100	Most rows per keyword, search link or profile. IDs and document links always return their row.
language	select or text	any	One language. Codes and names both work: es, spa, Spanish, Español.
fileTypes	list	all	pdf, word, epub, presentation, spreadsheet.
pageRange	select	any	1-3, 4-100 or 100+ pages.
uploadedWithin	select	any	1week, 1month, 3month, 6month or 1year.
includeDetails	boolean	true	Read each document page for the full set of fields. Off: search card data only.
debugMode	boolean	false	Detailed logs, for troubleshooting.

Accepted formats.

• Document links: https://www.scribd.com/document/104915100/Business-Plan-Template-Professional-Business-Plan, https://es.scribd.com/presentation/86604919/Business-Plan-McKinsey, https://www.scribd.com/embeds/104915100/content, and the short scribd.com/doc/86604919.
• Search links: copy the address bar after a search on scribd.com, filters included: https://www.scribd.com/search?query=business%20plan. The filters picked on the site are kept, and the filters of the form fill the ones the link does not set.
• Profile links: https://www.scribd.com/user/171435564/The-Business-Plan-Team. The run reads the uploads the profile shows.
• Document IDs: 104915100, #104915100, or a number pasted from a spreadsheet.
• A number typed in Keywords stays a keyword: 1984 searches for 1984.
• Inputs copied from other Scribd actors keep working: queries, keyword, maxResultsPerQuery, max_items, and the numeric language values of the Scribd filter (4 for Spanish).
• Ebook and audiobook links (/book/, /audiobook/, everand.com) are skipped with a message: those titles are sold on Everand.

What data can you extract from Scribd?

Each row is one public document and has 33 fields, grouped the same way in every row. On the default run, these were filled on 100 of 100 rows: id, url, title, displayTitle, documentType, language, languageCode, license, pageCount, wordCount, fileTypes, formats, isDownloadable, author, authorId, authorUrl, views, ratingCount, upvoteCount, downvoteCount, releasedAt, imageUrl, thumbnailUrl and embedUrl. description was filled on 91, rating on 62 (the others had no vote yet), categories on 55, tableOfContents on 48 and translations on 45.

Group	Fields	Notes
Identity	id, url, title, displayTitle, documentType	id is stable and url is the permanent reader link. title is the uploader's title, displayTitle the clearer title Scribd shows in its results.
Content	description, language, languageCode, categories, topics, tableOfContents, license, isbn	language is read from the document page. tableOfContents lists each section with its first page.
File	pageCount, wordCount, fileTypes, formats, isDownloadable	formats gives each format with its file size, such as {"extension": "pdf", "fileSize": "1.45 MB"}.
Uploader	author, authorId, authorUrl	authorUrl is the Scribd profile, which you can paste back as an input.
Measures	views, rating, ratingCount, upvoteCount, downvoteCount	views is a number (Scribd prints 142K, you get 142000). rating is the 0 to 5 score Scribd computes from the votes.
Time	releasedAt	Upload date, RFC 3339. Filled on keyword and search link rows; document IDs and profile rows leave it null.
Media and links	imageUrl, thumbnailUrl, embedUrl, translations	embedUrl plays the document in an iframe on your site. translations lists the translated editions Scribd publishes.
Meta	searchQuery, scrapedAt	The input that produced the row, and when it was read.

Output example

A real row from the default run:

{
  "id": "361189131",
  "url": "https://www.scribd.com/document/361189131/Business-Plan",
  "title": "Business Plan",
  "displayTitle": "Tailoring Business Plan for Art 'n Boutique",
  "documentType": "document",
  "description": "Sample Business Plan",
  "language": "English",
  "languageCode": "en",
  "categories": ["Documents", "Lifestyle", "Fashion"],
  "topics": [],
  "tableOfContents": [
    { "title": "Executive Summary", "page": 1 },
    { "title": "Personal Details", "page": 3 },
    { "title": "Business Plan Proper", "page": 5 },
    { "title": "Marketing Plan", "page": 11 },
    { "title": "Sustainability", "page": 20 },
    { "title": "Social Impact", "page": 25 }
  ],
  "license": "© All Rights Reserved",
  "isbn": null,
  "pageCount": 27,
  "wordCount": 3951,
  "fileTypes": ["docx", "pdf", "txt"],
  "formats": [
    { "extension": "docx", "fileSize": "5.99 MB" },
    { "extension": "pdf", "fileSize": "1.45 MB" },
    { "extension": "txt", "fileSize": "39.8 KB" }
  ],
  "isDownloadable": true,
  "author": "Hannaniah Pabico",
  "authorId": "363786252",
  "authorUrl": "https://www.scribd.com/user/363786252/Hannaniah-Pabico",
  "views": 35000,
  "rating": 4.1,
  "ratingCount": 40,
  "upvoteCount": 31,
  "downvoteCount": 9,
  "releasedAt": "2017-10-10T00:00:00Z",
  "imageUrl": "https://imgv2-2-f.scribdassets.com/img/document/361189131/original/32084aa3fe/1?v=1",
  "thumbnailUrl": "https://imgv2-1-f.scribdassets.com/img/document/361189131/149x198/01bd5dca89/1759820354?v=1",
  "embedUrl": "https://www.scribd.com/embeds/361189131/content",
  "translations": [
    {
      "language": "Spanish",
      "languageCode": "es",
      "id": "966150346",
      "url": "https://www.scribd.com/document/966150346/Plan-de-Negocios"
    }
  ],
  "searchQuery": "business plan",
  "scrapedAt": "2026-10-22T09:31:37Z"
}

The dataset has three views: Documents (title, uploader, pages, views, rating, upload date, language, link), File details (license, words, formats, topics, categories) and Authors (uploader, profile, document, views, votes). Export any of them to CSV, Excel, JSON or XML from the run page, or pull them from the API.

Advanced usage

Watch what gets uploaded on a topic every week

Schedule this run weekly in Apify: it returns only the documents uploaded in the last 7 days, so each run is the week's new material on the topic.

{
  "searches": ["city council minutes", "board meeting minutes"],
  "uploadedWithin": "1week",
  "maxItems": 200
}

Pull a fast list of search results without the document pages

Turn off the full details when you only need the search card data: title, uploader, pages, views, votes, categories and upload date. The default keyword returned 100 rows this way in 24 seconds.

{
  "searches": ["business plan"],
  "includeDetails": false,
  "maxItems": 100
}

Paste a search you built on scribd.com

Run your search on scribd.com, pick its filters there (category, content type, length), then paste the address. The run keeps those filters. Here a Spanish search link returned 20 Spanish rows.

{
  "startUrls": [
    { "url": "https://www.scribd.com/search?query=plan%20de%20negocios&content_type=documents&filters=%7B%22language%22%3A%5B%224%22%5D%7D" }
  ],
  "maxItems": 20
}

Collect long German manuals

Combine a language with the length and format filters to keep only the long reference works: here German PDF manuals of more than 100 pages. Run it once per language you need.

{
  "searches": ["service manual", "workshop manual"],
  "pageRange": "100+",
  "fileTypes": ["pdf"],
  "language": "de",
  "maxItems": 150
}

List the uploads of several publishers

Paste profile links, for instance from the authorUrl column of an earlier run. Each profile returns the uploads it shows, with the full details of each document.

{
  "startUrls": [
    { "url": "https://www.scribd.com/user/171435564/The-Business-Plan-Team" },
    { "url": "https://www.scribd.com/user/96390622/Christian-Gonzalez-Carrasco" }
  ]
}

FAQ

What is Scribd? Scribd is a reading platform where people and organizations upload documents (PDF, Word, presentations, spreadsheets) that anyone can read online: business plans, course notes, manuals, research papers, public records. Its ebooks and audiobooks moved to Everand, its sister service.

What does this actor extract exactly? One row per public document with 33 fields: what it is (title, description, type, categories, table of contents), the file (pages, words, formats and sizes, license), who uploaded it (name, ID, profile link), how it performs (views, rating, votes), when it was uploaded, its real language, its cover image and its embed link. It does not download the files.

Do I need a Scribd account? No. The actor reads public documents only. No login, no API key.

Which inputs can I use? Keywords, Scribd document links, Scribd search links (with the filters you picked on the site), Scribd profile links and document IDs. You can mix them in one run; a document found by two inputs is saved once.

How many documents can one search return? Scribd shows 40 documents per page and a popular keyword matches millions. Set maxItems to what you need: the run reads page after page until it reaches it or the search ends. Our "business plan" run read 3 pages for 100 rows.

Do the filters combine? Yes. language, fileTypes, pageRange and uploadedWithin all apply to the same search. "contrato de arrendamiento" with Spanish, PDF and 1 to 3 pages returned 30 rows, every one Spanish and between 1 and 3 pages long.

Why does a row say French when Scribd's results said English? The search card on Scribd shows the language of the site, not of the document. With full details on, each row takes the language from the document page: in our "business plan" run, 14 of 100 documents were French or Indonesian. With full details off, a search filtered on one language tags its rows with that language.

Why is releasedAt empty on some rows? The upload date is shown in Scribd's search results, not on the document page. Rows from keywords and search links carry it; rows from document IDs, document links and profiles leave it null.

Why is rating null? Scribd computes its score from upvotes and downvotes. A document nobody voted on has no score, so rating is null and ratingCount is 0. On the default run, 62 of 100 rows had a score.

Are the links permanent? url, embedUrl, authorUrl and the translations links are permanent Scribd addresses as long as the document stays online. Image links are served by Scribd's image servers and are not promised to stay the same over time: keep the id, which never changes, to merge runs and read fresh links later.

How fresh is the data? Live. Every run reads Scribd at that moment: views, votes and new uploads are current.

Can I get ebooks and audiobooks? No. Those titles are sold on Everand behind a subscription, so their links are skipped with a message in the log.

More SilentFlow scrapers

🛒 E-commerce

• Pinterest - Pinterest Scraper | Pins, Boards and Profiles
• JD - JD Products Scraper | JD.com Prices, Brands and Barcodes
• Leboncoin - Leboncoin Scraper | Classified Ads, Prices and Sellers
• Leboncoin - Leboncoin Ad Details Scraper
• TikTok Shop - TikTok Shop Scraper | Products, Sellers and Creator Videos
• Back Market - Back Market Scraper | Refurbished Prices
• ImportYeti - US Customs Records, Suppliers & Trade Data - ImportYeti Scraper - US Customs Records, Suppliers & Trade Data
• Naver - Naver Scraper | Shopping Products, Prices and Reviews
• Udemy Course - Udemy Course Scraper
• Naver - Naver Products Scraper | Shopping Prices, Sellers and Ratings
• 1688 - 1688 Scraper | Products, Details, Wholesale Prices, Suppliers
• Amazon Seller - Amazon Seller Scraper | Emails, Phones and Ratings
• Naver - Naver Reviews Scraper | Shopping Product Reviews
• Store Leads Ecommerce - Store Leads Ecommerce Scraper
• Store Leads - Store Leads Scraper | Shopify Data
• Allegro - Allegro Scraper | Products, Prices and Sellers
• Leboncoin - Leboncoin Scraper
• Lowes - Lowes Products Scraper | Prices, Stock and Specs
• Mobile.de - Mobile.de Scraper
• Taobao - Taobao Scraper | Products, Details, Prices and Sellers
• Agoda - Agoda Scraper | Hotel Prices and Guest Ratings
• Alibaba - Alibaba Products Scraper | Wholesale Prices and MOQ
• Avito - Avito Scraper | Listings, Prices and Sellers
• Bring a Trailer - Bring a Trailer Scraper
• Pinterest - Pinterest Scraper
• Udemy - Udemy Scraper
• Alibaba - Alibaba Scraper | Products, Supplier Companies and Prices
• AliExpress - AliExpress Reviews Scraper | Feedback, Ratings and Photos
• AliExpress - AliExpress Scraper | Products, Prices and Sales
• Avito - Avito Profiles Scraper | Sellers, Ratings and Reviews
• Back Market - Back Market Scraper | Refurbished Electronics Prices
• BAUHAUS - BAUHAUS Scraper | Product Prices, EAN and Specs
• CARFAX - CARFAX Scraper | Used Cars, Prices and History
• Coupang - Coupang Detail Scraper | Product Prices and Options
• eBay Marketplace - eBay Marketplace Scraper
• Europages - Europages Scraper | Suppliers and B2B Companies
• Eventim - Eventim Scraper | Events, Ticket Prices and Venues
• Google Hotels - Google Hotels Scraper | Prices, Offers and Ratings
• Homedepot - Homedepot Reviews Scraper | Customer Reviews and Ratings
• Leboncoin - Leboncoin Details Scraper | Full Ad Data and Sellers
• Mafengwo - Mafengwo Scraper | Attractions, Ratings and Tickets
• Mercari - Mercari Scraper | Listings, Sold Prices and Sellers
• Vinted Marketplace - Vinted Marketplace Scraper
• Webmotors - Webmotors Scraper | Car Listings, Prices and FIPE
• Amazon - Amazon Product Scraper
• Amazon Marketplace - Amazon Marketplace Scraper
• AutoScout24 - AutoScout24 Scraper
• eBay Listings - eBay Listings Scraper
• Europages Deep Dive Extractor - Europages Deep Dive Extractor | VAT, Decision Makers, ISO Certs
• GasBuddy - GasBuddy Scraper | Gas Prices by Station
• Goofish - Goofish Detail Scraper | Listings, Prices and Sellers
• Trip - Trip Scraper | Hotels, Prices and Reviews
• Vinted - Vinted Scraper
• Walmart - Walmart Scraper | Prices, Reviews, Sellers, Availability
• Walmart - Walmart Product Scraper

💼 Jobs

• ZipRecruiter - ZipRecruiter Jobs Scraper | Salary, Company & Location Filters
• Indeed - Indeed Company Reviews Scraper
• Multi Board - Multi Board Job Scraper
• Glassdoor Job Listings - Glassdoor Job Listings Scraper
• Malt - Malt Scraper | Freelance Profiles
• 🔥 Glassdoor - 🔥 Glassdoor Scraper
• Jobright - Jobright Scraper | Jobs, Salaries and H1B Sponsors
• Jora - Jora Jobs Scraper
• LinkedIn Job Search - LinkedIn Job Search Scraper | Salaries & Seniority
• Malt Freelancer - Malt Freelancer Scraper
• ATS - ATS Jobs Scraper | Greenhouse, Lever and Ashby
• Glassdoor - Glassdoor Jobs Scraper
• Arbeitsagentur - Arbeitsagentur Jobs Scraper
• Cutshort - Cutshort Jobs Scraper | Salaries, Skills and Companies
• Dice - Dice Jobs Scraper | US Tech Jobs, Salaries, Skills
• Dice Tech - Dice Tech Jobs Scraper
• iimjobs - iimjobs Jobs Scraper | MBA, Finance and Hirist Tech Jobs
• Indeed - Indeed Jobs Scraper | Job Listings in 73 Countries
• Instahyre - Instahyre Jobs Scraper | Companies, Recruiters and Ratings
• Jora - Jora Scraper | Jobs in Australia, New Zealand, Singapore
• StepStone - StepStone Scraper
• Welcome to the Jungle - Welcome to the Jungle Job Scraper
• YCombinator - YCombinator Jobs Scraper | Startup Jobs, Salaries and Founders
• All - All Jobs Scraper
• Arbeitsagentur - Arbeitsagentur Scraper | German and Austrian Job Board
• iimjobs - iimjobs Scraper | Jobs, Companies and Recruiters
• Indeed - Indeed Companies Scraper | Reviews, Salaries, Interviews
• Indeed - Indeed Jobs Scraper | NLP Skills
• LinkedIn - LinkedIn Jobs Scraper
• Naukri & NaukriGulf - Naukri & NaukriGulf Jobs Scraper
• Seek - Seek Job Scraper
• Welcome to the Jungle - Welcome to the Jungle Scraper | Jobs and Company Data
• Ziprecruiter - Ziprecruiter Scraper

🏠 Real estate

• SeLoger - SeLoger Scraper | Real Estate Listings
• Realtor Rental Listings - Realtor Rental Listings Scraper
• Airbnb Pro Host Contact & - Airbnb Pro Host Contact & Email Scraper
• Airbnb Professional Host - Airbnb Professional Host Scraper | Emails, Phones, SIRET
• Trulia Rental Listings - Trulia Rental Listings Scraper
• Bien'ici - Bien'ici Scraper | Property Listings
• Rightmove - Rightmove Scraper
• Bienici - Bienici Scraper
• SeLoger - SeLoger Scraper | French Property Listings and Agencies
• Airbnb Search - Airbnb Search Scraper
• Idealista - Idealista Scraper
• Realestate.com.au - Realestate.com.au Scraper
• Airbnb Search - Airbnb Search Scraper | Prices, Fees, Amenities, Hosts
• Anjuke - Anjuke Scraper | Rental Listings, Prices and Agents
• Idealista - Idealista Scraper
• Realtor Rental - Realtor Rental Scraper
• Trulia Rental - Trulia Rental Scraper | US Rentals, Prices, Pet Policy
• Zillow - Zillow Scraper

📣 Social media

• LinkedIn Post Search - LinkedIn Post Search Scraper | Keywords, Hashtags & Profiles
• Facebook Search - Facebook Search Scraper
• Instagram - Instagram Story Scraper | Stories & Highlights
• LinkedIn Leads - LinkedIn Leads Scraper | Sales Navigator Export
• Facebook Search - Facebook Search Profiles Scraper | People by Name or Keyword
• YouTube - YouTube Channel Scraper | Videos, Shorts and Views
• TikTok - TikTok Scraper
• Instagram Engagement - Instagram Engagement Scraper
• OnlyFans - OnlyFans Profile Scraper
• TikTok Trend - TikTok Trend Scraper | Trending Hashtags and Videos
• Discord - Discord Scraper | Servers, Member Counts and Invites
• Meta Ad Library - Meta Ad Library Scraper
• OnlyFans - OnlyFans Creator Scraper
• Skool Community - Skool Community Scraper
• TikTok Creative - TikTok Creative Ads Scraper | Top Ads, Landing Pages & Metrics
• Douyin - Douyin Comments Scraper | Comments, Likes and IP Regions
• Facebook Thread - Facebook Thread Profiles Scraper | Followers, Bios & Engagement
• Kuaishou - Kuaishou Scraper | Videos, Comments and Creator Stats
• Likee - Likee Scraper | Videos, Hashtags and Creators
• LinkedIn Ads Library - No Cookies - LinkedIn Ads Library Scraper - No Cookies
• LinkedIn Event - LinkedIn Event Scraper
• LinkedIn Hashtag & - LinkedIn Hashtag & Post Scraper | No Cookies
• Pinterest - Pinterest Ads Scraper | Ad Library, Reach & Targeting
• Pinterest - Pinterest Profiles Scraper | Followers, Emails and Bios
• Pinterest - Pinterest Videos Scraper | Video Downloader, MP4 Links, Stats
• Reddit - Reddit Comments Scraper | Search, Threads and Replies
• Reddit - Reddit Profiles Scraper | User Karma, Activity and Communities
• Reddit - Reddit Scraper | Posts, Comments and Subreddits
• Reddit - Reddit Scraper | Comments, Posts and Users
• RedNote - RedNote Detail Scraper | Xiaohongshu Details, Images, Videos
• RedNote - RedNote Videos Scraper | Downloader, Transcripts and Stats
• Snapchat - Snapchat Contacts Scraper | Phones, Emails and Websites
• Snapchat - Snapchat Videos Scraper | Spotlight Videos, MP4 and Stats
• TikTok Lookalike - TikTok Lookalike Scraper | Influencers, Emails and Engagement
• Weibo - Weibo Scraper | Posts, Profiles and Engagement
• Xigua - Xigua Scraper | Videos, Creators and Downloads
• YouTube Autocomplete - YouTube Autocomplete Scraper | Keyword Suggestions
• Facebook - Facebook Company Scraper | Emails, Phones, Ratings
• Facebook Business Page - Facebook Business Page Scraper
• Kwai - Kwai Scraper | Videos, Creators and Hashtags
• Skool Group - Skool Group Scraper
• Snapchat - Snapchat Ads Scraper | Ad Library, Impressions & Targeting
• TwitchTracker - TwitchTracker Scraper | Twitch Streamer Stats and Rankings
• YouTube - YouTube Transcript Scraper

🏢 Business data

• Tencent - Tencent Scraper | Maps Places, Phones and Ratings
• LinkedIn Company Search - LinkedIn Company Search Scraper | Profiles & Firmographics
• LinkedIn People Search - LinkedIn People Search Scraper | Profiles & Companies
• ForexFactory - ForexFactory Scraper | Economic Calendar and Forecasts
• Bilibili - Bilibili Scraper | Videos, Profiles, Comments, Danmaku
• Ctrip - Ctrip Scraper | Attractions, Tickets and Reviews
• LinkedIn Sales Navigator - LinkedIn Sales Navigator Scraper
• OpenTable - OpenTable Reviews Scraper | Restaurant Reviews and Ratings
• SoftwareAdvice - SoftwareAdvice Scraper | Reviews, Ratings and Pros & Cons
• Teachable Course - Teachable Course Scraper
• Website Tech Stack - Website Tech Stack Scraper
• Zomato - Zomato Reviews Scraper | Restaurant Ratings and Replies
• 2GIS - 2GIS Reviews Scraper | Ratings, Photos and Owner Replies
• Teachable - Courses, Prices & Instructors - Teachable Scraper - Courses, Prices & Instructors
• Trustpilot - Trustpilot Scraper | Reviews, Ratings and Company Contacts

✈️ Travel

• Google Maps - Google Maps Scraper
• Flight Price - Flight Price Scraper
• Booking.com Hotel - Booking.com Hotel Scraper
• Kakao - Kakao Scraper | Map Places, Reviews and Phones
• TheFork - TheFork Scraper | Restaurants, Menus and Ratings
• Trip - Trip Reviews Scraper | Hotel Reviews and Ratings
• Booking - Booking Scraper | Hotel Prices, Photos, Availability

🎯 Lead generation

• Northdata - Northdata Company Scraper
• ZocDoc - ZocDoc Scraper | Doctors, Reviews and Availability
• Dealroom - Dealroom Scraper | Companies and Investors
• UK Companies House - UK Companies House Enricher
• CNPJ Brazilian - CNPJ Brazilian Company Enricher
• Google Ads Transparency - Google Ads Transparency Scraper
• BuiltWith - BuiltWith Scraper | Tech Stacks and Top Sites
• Company Data - Company Data Scraper | Emails, Phones and Tech Stack
• Dealroom Startup Data - Dealroom Startup Data Scraper
• Domain - Domain Enricher
• French Company Prospector - French Company Prospector
• Justdial - Justdial Companies Scraper | Business Leads, Phones and Emails
• KVK - KVK Scraper | Dutch Companies and SBI Codes
• PagesJaunes - PagesJaunes Scraper | French Business Emails and SIRET
• SEC - SEC Scraper | EDGAR Filings and Company Data
• SIRET - SIRET Company Enricher
• SpyFu - SpyFu Scraper | SEO, PPC and Competitor Data
• USPTO - USPTO Scraper | Trademark Search and Status
• Clutch - Clutch Scraper | Agencies, Reviews, Ratings, Services
• Clutch Agency - Clutch Agency Scraper
• G2 - G2 Reviews Scraper
• PagesJaunes - PagesJaunes Business Scraper
• SIRET French - SIRET French Company Enricher
• ThomasNet Suppliers - ThomasNet Suppliers Scraper
• ZocDoc - ZocDoc Scraper

🔎 SEO

• Similarweb - Similarweb Scraper | Website Traffic, Rankings and Competitors
• Apple - Apple Reviews Scraper | App Store Reviews and Ratings
• Apple - Apple Scraper | App Store Apps, Ratings and Charts
• Bing - Bing Enricher Scraper | Mobile Friendly Test and Indexing
• Google News - Google News Scraper

📈 Marketing

• Pexels - Pexels Scraper | Photos, Videos and Download Stats
• Douyin - Douyin Transcript Scraper | Subtitles and Speech to Text

🧰 More tools

• FanDuel - FanDuel Scraper | Odds, Spreads and Player Props
• PrizePicks - PrizePicks Scraper | Player Props, Lines and Projections

Support

Need something this scraper doesn't do yet? We ship features fast.

• Feature requests go straight to our backlog
• Enterprise needs? We do custom integrations and high-volume plans
• Pricing questions? Check the Monetization tab on the actor page

Response time: usually under 24 hours.

Legal compliance

This Actor extracts publicly available data from scribd.com: the metadata Scribd shows to any visitor of a public document. It does not bypass any login, paywall, or CAPTCHA, and it does not download document files. Users are responsible for complying with Scribd's terms of service, with the copyright of the documents they research, and with applicable data protection laws (GDPR, CCPA, and PIPL where relevant). Rows contain uploader names and profile links, which can identify a person: handle that personal data accordingly, for a legitimate purpose. The data returned is informational; check a document on Scribd before relying on it for a regulated use.

Built by SilentFlow for content, research and data teams who work with what people publish on Scribd.