RED Post Content Scraper

Overview

RED Post Content Scraper is a high-efficiency automation tool designed for content researchers and brand managers. Simply provide a list of Xiaohongshu (RED) post URLs, and the RPA will handle the rest—navigating to each page, extracting the full post body, hashtags, and all key engagement metrics into a ready-to-analyze Excel spreadsheet.

✨ Features

• Comprehensive Extraction: Captures everything from the post title and body to the exact publish date and IP location.
• Engagement Tracking: Gain competitive insights by automatically collecting Likes, Collects, and Comment counts.
• Multi-Browser Support: Fully compatible with Google Chrome, Microsoft Edge, and AdsPower.
• Smart Throttling: Built-in safety delays to maintain account stability and avoid detection.

🛠How to Use

1. Log in to your RED account in your preferred browser (Chrome, Edge, or AdsPower).
2. Prepare an Excel file with the target Post URLs in Column A (Include a header in Row 1; URLs should start from Row 2).
3. Configure the parameters in the app panel, including the file path and browser choice.
4. Click Run and the scraper will process the links and export the results.

Parameters (Configuration Guide)

• Source URL File: Select the .xlsx file containing your target post URLs in Column A (Refer to the Reference Screenshot for formatting).
• Output Folder: Select the folder where the final results will be saved.
• Browser: Choose the browser you have logged in to (Chrome, Edge, or AdsPower).
• Profile ID: Required only if AdsPower is selected. Enter the specific Profile ID to connect with.

💡 Pro Tips

• Login Check: Ensure you have an active RED session before starting.
• Batch Limit: For optimal stability, the current version is optimized to process up to 50 links per session.
• Anti-Detection: The app add extra wait time to mimic human behavior.

📊 Key Data Points Collected

The app extracts the following fields into your Excel file:

• Post Info: Title, Full Content Body, Post URL, and Publish Date.
• Engagement: Like Count, Collection Count, and Comment Count.
• Metadata: Author Name, Author Profile Link, IP Location, and Last Updated Timestamp.

📬 Support & Feedback

I am an independent developer dedicated to building tools that actually work for you. If you encounter any bugs, have feature requests, or need a custom automation solution, please feel free to reach out!

• Email: [email protected]
• Response Time: I usually reply within 24-48 hours.