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Xiaohongshu Comments Scraper - RedNote Nested Reply Threads

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Scrape every comment and every nested reply from any Xiaohongshu (RedNote) note. Paste note URLs, share links or 24-character note IDs. One flat row per comment and per reply, carrying the thread linkage, author, avatar, IP city, likes and attached pictures.

Pricing

from $4.90 / 1,000 comments

Rating

0.0

(0)

Developer

SIÁN OÜ

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Total users

Monthly active users

6 days ago

Last modified

Changelog

All notable changes to Xiaohongshu Comments Scraper will be documented in this file.

[2026-09-04]

🎉 Xiaohongshu Comments Scraper — Launch!

Flat Thread Rows — every RedNote comment and every reply arrives as its own row, so a CSV export opens in a spreadsheet instead of exploding into replies/0/content columns
Reply-To Attribution — inside a long thread a reply usually answers another reply, not the root; both parentCommentId and replyToCommentId ride on the row, with the answered author's name
Deep Reply Pagination — set maxRepliesPerComment to 0 and a 200-reply argument comes back whole, page by page, with no duplicates
Creator Signals Decoded — pinned, written-by-the-note-author and liked-by-the-note-author become plain booleans, lifted out of the tag array where Xiaohongshu hides them
IP City & Comment Pictures — the province RedNote shows beside a comment, and full-size images people attached, both in their own columns
Three Input Formats — a browser URL, an xhslink.com share link from the phone app, or a bare 24-character note ID, mixable in one list
Honest Sort Menu — newest-first and RedNote's own default order. Sort-by-likes is absent because the source accepts it and then ignores it

💎 User Benefits

A reply thread rebuilds with one GROUP BY and drops into a sentiment pipeline unchanged
Charged per row returned — a note with no comments costs nothing, and error rows are never billed
Replies bill separately from comments, so turning them off genuinely lowers the bill
No account, cookies or API key: paste a link, press Start
Two spend caps, per note and per run, both set before anything is fetched

🎯 Use Cases

Brand managers mining Chinese consumer opinion before a China market entry
Agencies monitoring what happened underneath a KOL campaign's sponsored notes
ML teams collecting conversational Chinese with real turn-taking for model training
Product teams reading the complaints — and the defect photos — under a competitor's launch
Community managers exporting a full thread that the RedNote interface will not give them
Media buyers vetting whether a creator's comment section is a real audience

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