Brand and social listening teams
Trend scans
Favorable to scraping
Export Xiaohongshu results for branded phrases, competitor names, and campaign hashtags, then review title language, creator handles, likes, and note URLs in a spreadsheet.
Social Media$50Free
Xiaohongshu Search Result Scraper by Keyword
This Xiaohongshu scraper turns RedNote keyword search pages into a structured CSV. Add keyword search URLs, run the local desktop app workflow, and export post titles, image URLs, detail links, authors, dates, profile URLs, like counts, and recommended reasons without building a custom crawler from scratch.
Output
CSV file
Columns
9
Input mode
Keyword URLs
Scroll pass
Stability loop
Template
Free
What it does
Export Xiaohongshu search results to CSV
The workflow is built for keyword search pages such as /search_result?keyword=Red%20Note. UScraper sets a wide browser window, navigates through the configured URL list, waits for Xiaohongshu to render, then attempts two extraction paths: same-origin page data when it is available and DOM card parsing when the feed is visible.
That design makes the template useful for best-effort RedNote research where public pages can vary by region, login state, and anti-bot conditions. If no cards render because the session hits login, CAPTCHA, invalid URL, or security restrictions, the export does not silently fail. It writes a diagnostic row so your batch report shows which keyword needs manual review.
Scrape Xiaohongshu by keyword
Collect visible search-result notes for brand names, products, creators, campaigns, or cultural trends such as TikTok Refugee and Red Note.
Export RedNote results to CSV
Keep every result in fixed spreadsheet columns for filtering, deduplication, enrichment, or handoff to market research and social listening teams.
Run multiple searches in one batch
The Navigate block accepts several keyword URLs, and Loop Continue advances through them while append mode keeps results in one file.
Keep the workflow local
The browser automation runs in the local desktop app and writes to your configured folder instead of sending the keyword list to a hosted scraping queue.
Who this is for
Xiaohongshu data collection use cases
Influencer researchers
Creator discovery
Favorable to scraping
Use the author and author URL fields to shortlist creators around skincare, travel, food, fashion, or cross-border ecommerce topics before deeper manual qualification.
Growth and ads analysts
Market mapping
Nuanced outcome
Combine this workflow with the YouTube video list scraper, Google News keyword scraper, and Google SERP scraper when a campaign needs both social and search visibility checks.
How to use
Run the Xiaohongshu keyword scraper
2
Edit keyword URLs
Replace the sample search URLs with encoded Xiaohongshu keyword URLs for the topics you want to collect.
3
Check browser state
Open one search manually first if Xiaohongshu asks for login, verification, language settings, or consent.
4
Run the loop
The automation follows Navigate, waits, search submission helper, scroll and normalize script, Structured Export, then Loop Continue.
5
Open the CSV
Review the appended CSV, including any diagnostic rows that explain why a keyword produced no public cards.
Output preview
What the Xiaohongshu to CSV export includes
xiaohongshu-search-result-scraper-by-keyword.csvColumn
input_keywords
Decoded keyword from the current Xiaohongshu search URL.
Column
title
Visible note title or description text when present.
Column
image_url
Primary note image URL from the card or page data.
Column
details_page_url
Xiaohongshu note detail URL for manual review.
Column
author
Visible author or creator name.
Column
datetime
Published or updated date when Xiaohongshu exposes it.
Column
author_url
Creator profile URL when available.
Column
like_count
Visible likes or liked count.
Column
recommended_reason
Recommendation text or diagnostic reason for empty runs.
Sample rows
2 of many
| input_keywords | title | image_url | details_page_url | author | datetime | author_url | like_count | recommended_reason |
|---|---|---|---|---|---|---|---|---|
| Red Note | Beginner guide to RedNote travel planning | Maple Studio | 2026-05-18 | 1280 | Travel search result | |||
| beauty launch | Skincare launch notes from Shanghai stores | Retail Notes CN | 3 days ago | 342 |
Headers included - each configured keyword URL appends normalized note rows
Frequently asked questions
Xiaohongshu and RedNote content may be public in the browser and still be governed by platform terms, copyright, privacy law, database rules, and local compliance requirements. Use modest pacing, avoid bypassing access controls, do not collect sensitive personal data, and get legal review before using scraped rows for commercial resale, ads, enrichment, or model training.
Before you scale
Limits and maintenance notes
Guardrails for reliable RedNote exports
Access
Login or verification can block public cards
If Xiaohongshu shows a login wall, CAPTCHA, phone prompt, or security message, the template records a diagnostic row instead of pretending the keyword had no results.
Selectors
Card layouts may change
Missing titles, likes, images, or authors usually mean Xiaohongshu changed markup or withheld data. Refresh the template before trusting a long export.
Policy
Review platform rules before reuse
Treat the CSV as research input. Read Xiaohongshu and RedNote terms, respect access controls, and avoid redistributing protected content or personal data without permission.
Browse the UScraper template library, install the local desktop app from the download page, and keep the downloaded Xiaohongshu scraper template JSON versioned with your social research workflow.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
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