Xiaohongshu Search Results Scraper (by URL)

📌 What Xiaohongshu search-result data can you collect from submitted URLs?

This template collects search-result records with Title, Image URL, Details page URL, Author URL, Datetime, Author, 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 Results Scraper (by URL) returns these fields:

• Title
• Image_URL
• Details_page_URL
• Author
• Datetime
• Author_URL
• Like_count

{
  "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"
}

🎯 Use Cases

• Build a structured research dataset organized by 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 Xiaohongshu Search Result URLs (up to 10,000) and Pre-Login, processes the resulting search pages and their result items, and writes structured rows including Title, Image URL, Details page URL, and Author.
• Inputs match the workflow: The form uses Xiaohongshu Search Result URLs (up to 10,000 entries) and Pre-Login.
• Fields stay connected: Xiaohongshu Search Results Scraper (by URL) returns Title, Image_URL, Datetime, Details_page_URL, and Author in the same structured dataset.
• Ready for repeat use: After Xiaohongshu Search Results Scraper (by URL) 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:

• Xiaohongshu Search Result URLs (Required) — Xiaohongshu Search Result URLs. Up to 10,000 entries per run.
• Pre-Login (Required) — Enable pre-login before collecting Xiaohongshu search results.

🚀 How to Use

1. Open Xiaohongshu Search Results Scraper (by URL) and click Try it!.
2. Complete Xiaohongshu Search Result URLs and Pre-Login 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

• Test one representative value in Xiaohongshu Search Result URLs before submitting a large batch to Xiaohongshu Search Results Scraper (by URL).
• Keep Details_page_URL in the export so every row can be traced to its originating input or page.

❓ FAQ

How many entries can Xiaohongshu Search Results Scraper (by URL) accept in Xiaohongshu Search Result URLs per run?

Enter up to 10,000 values in Xiaohongshu Search Result URLs per run.

Which Xiaohongshu pages does Xiaohongshu Search Results Scraper (by URL) process?

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

What can I use data from Xiaohongshu Search Results Scraper (by URL) for?

Build a structured research dataset organized by Title.

🔗 Related Templates

• Xiaohongshu Post Details Scraper — Use Xiaohongshu Post Details Scraper to enrich discovered URLs with detail-page data.
• Xiaohongshu Search Result Scraper (by keyword) — Use Xiaohongshu Search Result Scraper (by keyword) for a complementary workflow on the same source site.
• Twitter (X) Comments Scraper — Use Twitter (X) Comments Scraper to collect comparable social media data from another source.