Brand teams
Campaign monitoring
Favorable to scraping
Export Xiaohongshu posts for branded searches, product launches, competitor terms, or campaign phrases, then review titles, authors, links, and likes in a spreadsheet.
Social Media$50Free
Xiaohongshu Scraper for RedNote Posts
This Xiaohongshu scraper exports visible RedNote search and listing cards into a structured CSV. Import the template into UScraper, run it in the local desktop app, and collect post titles, post URLs, cover images, author names, profile links, and like counts without building a custom crawler.
Output
CSV file
Post fields
6+
Input
Search URL
Feed
Finite scroll
Template
Free
What it does
Export Xiaohongshu posts to CSV
The template starts from a Xiaohongshu search result URL and is preconfigured with a travel query so you can test the flow immediately. UScraper sets a wide browser window, navigates to the page, waits for the body to render, pauses for the front-end app, and runs a small helper script to close common consent or notification overlays.
After that setup, the workflow scrolls down in three measured passes. It then checks for post-card selectors such as note items, explore links, and feed card containers. If cards are visible, Structured Export extracts a row for each result. If Xiaohongshu shows a login wall, CAPTCHA, security page, empty listing, or changed layout, the fallback export writes a diagnostic row instead of leaving you with an unexplained blank file.
Collect RedNote listing data
Scrape Xiaohongshu result cards for posts around brand names, product categories, travel topics, creators, or trend keywords.
Export to a reviewable CSV
Keep post title, post URL, image URL, author name, author URL, and like count in fixed spreadsheet columns for filtering and manual validation.
Run in a local desktop app
The stock template writes to your configured folder and does not send the output to a hosted scraping queue.
Surface blocked sessions
Diagnostic rows explain likely login, CAPTCHA, security, geo-blocking, or selector-drift conditions so batch results are easier to audit.
Who this is for
Xiaohongshu data collection use cases
Influencer researchers
Creator discovery
Favorable to scraping
Use author names and profile URLs to build a first-pass creator shortlist before deeper manual qualification on Xiaohongshu.
Market analysts
Cross-channel research
Nuanced outcome
Pair RedNote rows with the Xiaohongshu keyword scraper, Xiaohongshu URL scraper, and Google SERP scraper when a report needs both social and search signals.
How to use
Run the Xiaohongshu scraper workflow
2
Edit the search URL
Replace the sample Xiaohongshu travel search with the keyword or listing URL you want to collect. Keep the URL encoded when using non-Latin search terms.
3
Confirm browser access
Open the page once if Xiaohongshu asks for login, CAPTCHA, language selection, phone verification, or another access prompt.
4
Run the scroll pass
The automation follows Navigate, waits, overlay cleanup, scroll, wait, scroll, wait, scroll, and card detection before export.
5
Review the CSV
Open xiaohongshu-scraper.csv, spot-check several post URLs, and inspect any diagnostic rows before using the export for reporting.
Output preview
What the Xiaohongshu to CSV export includes
The main Structured Export block writes one row per detected post card. The fallback export uses the same CSV filename and adds diagnostic fields when Xiaohongshu returns an access page or the selectors no longer match.
| post_title | post_url | image_url | author_name | author_url | like_count |
|---|---|---|---|---|---|
| Weekend travel route in Chengdu | https://www.xiaohongshu.com/explore/66exampleid | https://sns-img-qc.xhscdn.com/example-cover.jpg | Travel Notes CN | https://www.xiaohongshu.com/user/profile/exampleuser | 1.2k |
| RedNote cafe list for first-time visitors | https://www.xiaohongshu.com/explore/67exampleid | https://sns-img-qc.xhscdn.com/example-cafe.jpg | City Guide Studio | https://www.xiaohongshu.com/user/profile/cityguide | 342 |
xiaohongshu-scraper.csvColumn
post_title
Visible post title, image alt text, card label, or first card text line.
Column
post_url
Absolute Xiaohongshu explore URL for manual review.
Column
image_url
Primary image source from the post card.
Column
author_name
Visible creator or account name when exposed in the listing.
Column
author_url
Creator profile URL when the card links to one.
Column
like_count
Visible like count, including k or Chinese wan-style abbreviations when present.
Column
extraction_status
Fallback-only status for login, CAPTCHA, security, empty, blocked, or changed pages.
Headers included - normal rows export post data; fallback rows explain blocked or empty runs
Frequently asked questions
Xiaohongshu content can be visible in a browser and still be governed by platform terms, copyright, privacy rules, database rights, and local law. Use modest pacing, avoid bypassing access controls, do not collect sensitive personal data, and get legal review before using exported rows for advertising, resale, enrichment, or AI training.
Before you scale
Limits and maintenance notes
Guardrails for reliable RedNote exports
Access
Login, CAPTCHA, or security checks can block post cards
If Xiaohongshu blocks the browser session, the fallback export records why the page was likely unavailable. Treat that as a manual review item, not a zero-result keyword.
Selectors
Infinite-scroll layouts can change
Missing images, authors, profile URLs, or likes usually mean Xiaohongshu changed markup or withheld fields. Refresh selectors before trusting a long export.
Policy
Use exports for approved research
Review Xiaohongshu terms, respect access controls, and avoid redistributing protected content or personal data without permission.
Download the template, browse more social workflows in the UScraper template library, or install the local desktop app from UScraper download before importing the JSON file.
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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