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Xiaohongshu Post Details Scraper

Social Media
Template for extracting post list information (e.g. title, number of reviews and image URLs) from Xiaohongshu hashtag URLs.
Access Level
Run Mode
Free
Cost of Usage
2026/08/24
Last updated
Try it!

📌 What detailed information can you extract from Xiaohongshu pages?

This template collects detail-page records with Post title, User Name, Page URL, Profile URL, Image, Post content, Likes Amount, and Favorite Amounts. It is useful for social-media researchers, content teams, brand analysts, and audience researchers.

Data is collected from Xiaohongshu. Xiaohongshu is a social discovery platform centered on user posts, products, lifestyle topics, and recommendations.

💰 Pricing

This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.

📦 Output

Xiaohongshu Post Details Scraper returns these fields:

  • Page_URL
  • Image
  • Post_title
  • Post_content
  • User_Name
  • Profile_URL
  • Likes_Amount
  • Favorite_Amounts
  • Comment_Amount
{
  "Page_URL": "https://www.xiaohongshu.com/explore/690ff9ad0000000005001d65?xsec_token=ABil2cd79YBdVtducV3-L5pF8pGGxln3SNpocA_pzPRqg=&xsec_source=pc_feed&source=tourist_search",
  "Image": "https://sns-webpic-qc.xhscdn.com/202511101540/c6f59d8e32edc5ec62718c625647c7b6/notes_pre_post/1040g3k031ol91u31g60040veir06lse3nr55qfg!nd_dft_wlteh_webp_3",
  "Post_title": null,
  "Post_content": null,
  "User_Name": "IT女工阿徐",
  "Profile_URL": null,
  "Likes_Amount": "693",
  "Favorite_Amounts": "738",
  "Comment_Amount": "74"
}

🎯 Use Cases

  • Build a structured research dataset organized by Post title and User Name.
  • Analyze source content and timing through Post content.
  • Measure audience or customer engagement using Likes Amount and Comment Amount.
  • Use Page URL and Profile URL to audit source records or feed verified pages into downstream workflows.

🐙 Why Octoparse

  • Built for Xiaohongshu: The automation opens the detail pages determined by Pre-Login and Xiaohongshu details page URLs (up to 10,000), extracts the configured page fields, and writes structured rows including Page URL, Image, Post title, and Post content.
  • Inputs match the workflow: The form uses Pre-Login and Xiaohongshu details page URLs (up to 10,000 entries).
  • Fields stay connected: Xiaohongshu Post Details Scraper returns Post_title, Page_URL, Comment_Amount, Post_content, and Image in the same structured dataset.
  • Ready for repeat use: After Xiaohongshu Post Details Scraper runs locally, schedule eligible tasks and export the rows for spreadsheets, dashboards, APIs, or AI workflows.

📝 Input

Complete the following fields:

  • Pre-Login (Optional) — Enable pre-login to access more data. Without pre-login, the available result volume is limited.
  • Xiaohongshu details page URLs (Optional) — Key in the URL you want to search with. Up to 10,000 entries per run.

🚀 How to Use

  1. Open Xiaohongshu Post Details Scraper and click Try it!.
  2. Complete Pre-Login and Xiaohongshu details page URLs using the formats and limits shown in the Input section.
  3. Run it locally in Octoparse and start the task.
  4. Review fields such as Post_title, Page_URL, and Comment_Amount, then export the rows in the format you need.

💡 Tips

  • Start with a small, representative Pre-Login selection before scaling the task.
  • Keep Page_URL in the export so every row can be traced to its originating input or page.

❓ FAQ

What do I enter in Xiaohongshu Post Details Scraper?

Complete Pre-Login and Xiaohongshu details page URLs using the accepted values and limits listed in the Input section.

Which Xiaohongshu pages does Xiaohongshu Post Details Scraper process?

The workflow is configured for detail pages and returns fields such as Post_title, Page_URL, Comment_Amount, and Post_content.

What can I use data from Xiaohongshu Post Details Scraper for?

Build a structured research dataset organized by Post title and User Name.

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