Scribd Downloader

Download Scribd documents as PDF for free - Fast, automated, and runs in background!

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Features

• One-click download - Just paste the Scribd URL and get your PDF
• Supports both Scribd URL styles - Works with /document/... and legacy /doc/... links
• Runs in background - Headless Chrome, no browser window pops up
• No scrolling required - Loads Scribd page data directly instead of simulating page-by-page scrolling
• Clean PDFs - No cookie banners, toolbars, or watermarks
• Bounded-memory export - Keeps only a configurable batch of fully loaded pages in Chrome at once
• Disk-spooled merge - Writes each rendered page to temporary storage before combining the final PDF with pypdf
• Large document support - Verified with image-heavy documents containing up to 2,552 pages
• Better math rendering - Preserves Scribd layout classes needed by equations and SVG content
• Exact pagination - Validates that every Scribd page produces exactly one PDF sheet
• Dynamic page size - Detects each rendered page's dimensions instead of forcing one fixed sheet size
• Auto filename - PDF named after the document URL automatically
• No login required - Works without Scribd account

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Requirements

• Python 3.10 or higher
• Google Chrome browser installed
• Chrome WebDriver (auto-managed by Selenium)

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Installation

1. Clone the repository

   git clone https://github.com/fullstackusama/scribd-downloader.git
   cd scribd-downloader

2. Install dependencies

   pip install -r requirements.txt

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Usage

1. Run the script

   python scribd-downloader.py

2. Paste the Scribd document URL when prompted:

   Input link Scribd: https://www.scribd.com/document/123456789/Document-Title
   

   Legacy Scribd URLs also work:

   Input link Scribd: https://www.scribd.com/doc/123456789/Document-Title
   

3. Wait for the download - The script will:

   • Open the document in headless Chrome
   • Load document pages directly in bounded batches
   • Release each batch from Chrome after printing to control memory use
   • Remove unwanted elements (toolbars, cookie banners)
   • Spool individual pages to temporary storage and merge the final PDF
   • Save the PDF in the current directory

4. Done! Your PDF will be saved with the document name from the URL.

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Example Output

$ python scribd-downloader.py
Input link Scribd: https://www.scribd.com/document/903361807/WorkdaySimpleIntegrations-EIB-31v2

Link embed: https://www.scribd.com/embeds/903361807/content
Output filename: WorkdaySimpleIntegrations-EIB-31v2.pdf

Starting Chrome browser...
Cookie dialogs hidden.
Top toolbar removed.
Bottom toolbar removed.
Adjusted 1 scroll containers for print.
Print CSS injected.

Saving PDF as: WorkdaySimpleIntegrations-EIB-31v2.pdf
  Export mode: Individual document pages
  Margins: None
  Headers/Footers: Disabled
  ChromeDriver command timeout: 600s
Exporting 316 document pages in bounded batches of 8...
  Loading page batch 1-8/316...
  Page 1/316 1002x1296px -> 10.438"x13.500"
    OK: exactly 1 PDF sheet
  ...
Merging 316 disk-spooled PDF pages...
PDF saved successfully to: C:\Users\...\WorkdaySimpleIntegrations-EIB-31v2.pdf
Browser closed.

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PDF Settings

Setting	Value
Page Size	Detected dynamically from Scribd's rendered page
Margins	None (0)
Headers/Footers	Disabled
Background Graphics	Enabled

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How It Works

1. URL Conversion - Converts Scribd document URL to embeddable format
2. Headless Browser - Opens Chrome in background (invisible)
3. Batched Page Loading - Loads a small group of Scribd pages and their images directly without scrolling
4. Cleanup - Removes toolbars, cookie banners, and overlays while preserving Scribd layout classes
5. Per-page Export - Detects each page's rendered size and prints exactly one PDF sheet through Chrome DevTools Protocol
6. Memory Release - Removes the completed batch from Chrome and requests garbage collection
7. Disk-spooled Merge - Combines the temporary one-page PDFs into the final document with pypdf
8. Auto Close - Browser closes automatically after saving

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Benchmarks

Reference results from one Windows machine are shown below. Performance varies with network speed, document complexity, CPU, RAM, Chrome version, and storage speed.

Document	Pages	Total Time	Output Size	Blank Pages	Peak Combined RAM
CSS Solved Past Papers	359	58.36 seconds	228.49 MB	0	1.47 GB
Manual de Servicio MX-305	2,552	14 minutes 12 seconds	237.28 MB	0	2.46 GB

The batch size was 8 in both tests. Long documents still take time because Chrome must print every page individually, but fully loaded browser content is kept to one batch at a time.

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Troubleshooting

"ChromeDriver not found" error

The script uses Selenium Manager to auto-download ChromeDriver. If you face issues:

pip install --upgrade selenium

PDF not saving

• Ensure you have write permissions in the current directory
• Check if the Scribd URL is valid and accessible
• For very large documents, increase SCRIBD_CDP_TIMEOUT (default: 600)

Blank pages in PDF

• Some documents may have DRM protection
• Try increasing SCRIBD_PAGE_LOAD_TIMEOUT if page images load slowly
• If a document still renders incorrectly, try visible mode with SCRIBD_HEADLESS=0

Very large documents

• Ensure the drive containing your temporary directory has enough free space for individual page PDFs
• Reduce SCRIBD_EXPORT_BATCH_SIZE if Chrome uses too much memory
• Increase SCRIBD_PAGE_LOAD_TIMEOUT when slow image assets time out
• Long documents still take time because each page is printed and validated separately

Large, image-heavy, or math-heavy documents

You can tune the export with environment variables:

$env:SCRIBD_CDP_TIMEOUT="900"
$env:SCRIBD_PAGE_LOAD_TIMEOUT="180"
$env:SCRIBD_EXPORT_BATCH_SIZE="4"
python scribd-downloader.py

Useful variables:

• SCRIBD_CDP_TIMEOUT - ChromeDriver command timeout in seconds for Page.printToPDF
• SCRIBD_PAGE_LOAD_TIMEOUT - Maximum direct page-loading time in seconds (default: 120)
• SCRIBD_EXPORT_BATCH_SIZE - Maximum fully loaded pages kept in Chrome at once (default: 8)
• SCRIBD_HEADLESS=0 - Run with a visible browser when debugging rendering issues locally

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Contributing

Contributions are welcome! Feel free to:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

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Support the Project

If you find this tool useful, consider supporting its development:

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License

This project is licensed under the MIT License - see the LICENSE file for details.

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Disclaimer

This tool is for educational purposes only. Please respect copyright laws and Scribd's Terms of Service. Only download documents you have the right to access.

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Made with ❤️ by Usama Nazir

If you find this useful, please consider giving it a ⭐