logo
EN
Template GalleryTemplate Details

Xiaohongshu Search Result Scraper (by keyword)

Social MediaMCP
Scrape Xiaohongshu (Red Note) post title, image, post URL, author, and author URL from xiaohongshu.com by search result URL.
Standard
Access Level
Run Mode
Free
Cost of Usage
2026/09/17
Last updated
Try it!

📌 What Xiaohongshu post results can you collect by keyword?

This template collects search-result records with Title, Image URL, Details page URL, Author URL, Datetime, Author, Input keywords, and Like count. 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 Search Result Scraper (by keyword) returns these fields:

  • Input_keywords
  • Title
  • Image_URL
  • Details_page_URL
  • Author
  • Datetime
  • Author_URL
  • Like_count
  • Recommended_reason
{
  "Input_keywords": "web scraping",
  "Title": "推荐3款自动爬虫神器，再也不用手撸代码了",
  "Image_URL": "https://sns-webpic-qc.xhscdn.com/202511101556/e6aa53f42ed33364e0afd76422cd9bc3/1040g008314t3depl14005npqjgqg8e7a9v66v7g!nc_n_webp_mw_1",
  "Details_page_URL": "https://www.xiaohongshu.com/search_result/66889d19000000000a026420?xsec_token=ABNlEB76L3vQ5N6cIYO-nnMuxpO0YslweSJOt3wLL32-8=&xsec_source=",
  "Author": "Python大数据分析",
  "Datetime": "2024-07-06",
  "Author_URL": "https://www.xiaohongshu.com/user/profile/5f3a9c3500000000010038ea?channel_type=web_search_result_notes&parent_page_channel_type=web_profile_board&xsec_token=AB6uZC_94FYmu431pd_4pk8yP8HtOlqXAyi_kjD4UVbiA=&xsec_source=pc_search",
  "Like_count": "511",
  "Recommended_reason": null
}

🎯 Use Cases

  • Build a structured research dataset organized by Input keywords and Title.
  • Analyze source content and timing through Author, Author URL, and Datetime.
  • Measure audience or customer engagement using Like count.
  • Use Image URL, Details page URL, and Author URL to audit source records or feed verified pages into downstream workflows.

🐙 Why Octoparse

  • Built for Xiaohongshu: The automation applies Pre-login and Keywords (up to 100 per run), processes the resulting search pages and their result items, and writes structured rows including Input keywords, Title, Image URL, and Details page URL.
  • Inputs match the workflow: The form uses Pre-login and Keywords (up to 100 entries).
  • Fields stay connected: Xiaohongshu Search Result Scraper (by keyword) returns Title, Image_URL, Datetime, Input_keywords, and Details_page_URL in the same structured dataset.
  • Ready for repeat use: After Xiaohongshu Search Result Scraper (by keyword) runs locally or in the cloud, schedule eligible tasks and export the rows for spreadsheets, dashboards, APIs, or AI workflows.

📝 Input

Complete the following fields:

  • Pre-login (Required) — Enable pre-login before searching Xiaohongshu.
  • Keywords (Required) — Enter Xiaohongshu search keywords, one per line. Up to 100 entries per run.

🚀 How to Use

  1. Open Xiaohongshu Search Result Scraper (by keyword) and click Try it!.
  2. Complete Pre-login and Keywords using the formats and limits shown in the Input section.
  3. Choose a local or cloud run in Octoparse and start the task.
  4. Review fields such as Title, Image_URL, and Datetime, then export the rows in the format you need.

💡 Tips

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

❓ FAQ

What do I enter in Xiaohongshu Search Result Scraper (by keyword)?

Complete Pre-login and Keywords using the accepted values and limits listed in the Input section.

Which Xiaohongshu pages does Xiaohongshu Search Result Scraper (by keyword) process?

The workflow is configured for search-result pages and returns fields such as Title, Image_URL, Datetime, and Input_keywords.

What can I use data from Xiaohongshu Search Result Scraper (by keyword) for?

Build a structured research dataset organized by Input keywords and Title.

🔗 Related Templates

Share