Need to find specific documents on Scribd without the endless manual clicking? I built this scraper because I got tired of collecting data for research projects the hard way. You give it a keyword—anything from "quantum physics" to "sourdough recipes"—and it automatically pulls back a clean, structured list of matching public documents. For each one, you'll get the title, author, page count, and upload date, ready to export as JSON or CSV. It's genuinely become a go-to for a few specific jobs. Researchers use it to compile literature reviews or track publications on a topic over time. Content curators and librarians rely on it to discover and catalog materials for their digital collections. And if you're building any kind of research dashboard or content aggregation tool, this actor can serve as a reliable data pipeline. You only pay when it successfully fetches results, which makes it cost-effective for both one-off queries and larger, ongoing projects. It handles the tedious searching so you can focus on the analysis or application of the information.

What does this actor do?

Scribd Document Search Scraper 🔍📄📚 - Pay Per result is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

• Cloud-based execution - no local setup required
• Scalable infrastructure for large-scale operations
• API access for integration with your applications
• Built-in proxy rotation and anti-blocking measures
• Scheduled runs and webhooks for automation

How to Use

1. Click "Try This Actor" to open it on Apify
2. Create a free Apify account if you don't have one
3. Configure the input parameters as needed
4. Run the actor and download your results