Brand and social teams
Post analysis
Export comments and engagement details from campaign posts, product mentions, competitor posts, or creator collaborations before writing a social listening report.
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This Xiaohongshu post details scraper converts RedNote post detail URLs into a structured CSV export. Add current Xiaohongshu post URLs, run the UScraper local desktop app workflow, and collect post metadata, image URLs, author links, engagement counts, comments, comment metadata, and replies without building a custom crawler.
CSV file
16
Post URLs
45 sec
Free
At a glance
Use this template when a search export, influencer shortlist, or manual review has already produced specific Xiaohongshu post detail URLs. It focuses on the detail page rather than keyword discovery, so the output includes post-level context and per-comment rows.
Who this is for
Brand and social teams
Post analysis
Export comments and engagement details from campaign posts, product mentions, competitor posts, or creator collaborations before writing a social listening report.
Influencer researchers
Creator review
Keep author names, profile links, visible likes, favorites, and comment themes beside each post URL so shortlisted RedNote creators can be qualified in a spreadsheet.
Market analysts
Context building
Pair detail-page rows with the Xiaohongshu Scraper for RedNote Posts, Xiaohongshu Search Result Scraper by Keyword, and Xiaohongshu Search Results Scraper by URL when a project needs discovery plus comment-level review.
Export detail pages, not only feeds
Capture page URL, title, image list, author name, profile link, likes, favorites, and comment count from post detail pages.
Run a URL batch
Add several current post URLs to navigate.urls[]; Loop Continue advances through the list while Structured Export appends rows.
Keep comment rows analyzable
Export comment author, location, date text, comment body, like count, reply count, and visible replies into fixed CSV columns.
Avoid silent empty files
Diagnostic rows flag redirects, unavailable posts, login prompts, CAPTCHA, or generic app pages so the batch can be reviewed.
How to use
Download and import
Download the hosted Xiaohongshu post details template, import it into UScraper, and open the workflow graph.
Add current post URLs
Replace the sample Navigate URL with one or more live Xiaohongshu post detail URLs. Avoid stale copied URLs when the platform has expired the token or redirected the page.
Check browser access
Open one post manually if RedNote asks for login, CAPTCHA, phone verification, language selection, or another access prompt before details render.
Run the extraction loop
UScraper navigates, waits for the page shell, clicks visible show-more controls, scrolls the comment area, creates hidden .uscraper-xhs-row rows, and waits for them before export.
Open the output
Review rednote-post-details-scraper.csv, check diagnostic rows, and spot-check several post URLs before using the file for reporting or enrichment.
Automation path inside the template
Navigate
Open each Xiaohongshu detail URL from the multi-input list.
Wait and expand
Wait for the page body, pause for app rendering, click visible comment and reply expansion controls, and scroll in measured passes.
Structured export
Read normalized .uscraper-xhs-row elements and append the configured columns into one CSV.
Loop continue
Advance to the next post URL while keeping the same headers and append mode.
Output preview
The export is built for reviewable analysis rather than a generic screenshot archive. Each normal row represents one visible comment tied back to the post metadata; when comments are not visible, the workflow can still append a post-level or diagnostic row.
| page_url | title | user_name | likes_amount | comment_author | datetime | comment | replies |
|---|---|---|---|---|---|---|---|
| https://www.xiaohongshu.com/explore/690ff9ad0000000005001d65 | Summer cafe guide | city.notes | 1268 | Mia | 06-02 | Saved this for my Tokyo list | Where is this? | Near Shibuya |
| https://www.xiaohongshu.com/explore/690ff9ad0000000005001d65 | Summer cafe guide | city.notes | 1268 | Lin | 06-03 | The second photo is so useful | |
| https://www.xiaohongshu.com/explore/example | POST_DETAIL_NOT_LOADED_OR_REDIRECTED | Xiaohongshu post detail was not loaded. Login, CAPTCHA, expired token, or unavailable post may apply. |
rednote-post-details-scraper.csvColumn
page_url
The final post detail URL opened by the browser.
Column
image
Pipe-separated image URLs detected from the post detail page.
Column
title
Post title, or a diagnostic status when the detail page is not available.
Column
user_name
Visible post author name.
Column
personal_file_link
Author profile URL when present in the rendered page.
Column
likes_amount
Visible like count captured from the post action area.
Column
favorite_amounts
Visible favorite or collect count when available.
Column
comment_amount
Displayed comment count or detected visible comment count.
Column
comments_replies
Combined visible comment and reply text for post-level review.
Column
comment_author
Author of the exported comment row.
Column
comment_author_location
Location text parsed from comment metadata when visible.
Column
datetime
Relative or absolute comment timestamp text.
Column
comment
Comment body for the current row.
Column
comment_like_count
Visible like count for the comment.
Column
comment_reply_count
Visible reply count or detected reply total.
Column
replies
Visible replies joined into a compact cell.
Sample rows
1 of many
| page_url | image | title | user_name | personal_file_link | likes_amount | favorite_amounts | comment_amount | comments_replies | comment_author | comment_author_location | datetime | comment | comment_like_count | comment_reply_count | replies |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Summer cafe guide | city.notes | 1268 | 342 | 48 | Saved this for my Tokyo list | Mia | Shanghai | 06-02 | Saved this for my Tokyo list | 15 | 2 | Where is this? | Near Shibuya |
For broader research workflows, browse the full UScraper template library, install the app from UScraper download, or use a search workflow first and then run this post detail scraper on the URLs that matter.
Frequently asked questions
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