RedNote (Xiaohongshu) Scraper — Trending, Notes & Profiles

Cookie-free RedNote / 小红书 scraper. Three modes in one Actor:

1. Trending feed — pull the live RedNote recommended feed. No input, no login. Great for content discovery, trend spotting, and product research on the China market.
2. Note details — paste RedNote note share URLs and get the full note: title, description, likes / collects / comments / shares, hashtags, @-mentions, image URLs, author, and timestamps.
3. Creator profiles — paste profile URLs and get the creator's RedID, bio, follower / following / likes counts, IP location, and their recent notes.

No account, no session cookie, no CAPTCHA solving. Clean, unified JSON — one dataset per run.

Why this one

• Cookie-free — most RedNote scrapers make you paste a login cookie. This one doesn't (note details use the xsec_token already baked into the share URL you copy from the app).
• Three data types, one Actor — trending, notes, and profiles instead of buying three separate tools.
• Typed, agent-ready output — every row carries a rowType discriminator (trending / note / profile / user-note), so agents and pipelines can branch without guessing.
• Only pay for what returns — failed items go to the run SUMMARY, never the billed dataset.

Quick start

Trending feed (just press Start):

{}

Note details:

{ "noteUrls": ["https://www.xiaohongshu.com/explore/<id>?xsec_token=<token>"] }

Copy the share link from the RedNote app or site — it already contains the xsec_token the note detail needs. A bare note id without a token can't be opened.

Creator profiles (+ their recent notes):

{ "profileUrls": ["https://www.xiaohongshu.com/user/profile/<userId>"] }

Output fields (by rowType)

• trending / user-note: noteId, xsecToken, url, title, type, likes, cover, authorId, authorName.
• note: everything above plus desc, collects, comments, shares, tags[], atUsers[], images[], publishedTime, ipLocation.
• profile: userId, redId, nickname, desc, gender, ipLocation, avatar, followers, following, likesAndCollects, tags[].

Counts are normalized to integers (RedNote's 1万+ / 1千+ / 10K+ become real numbers).

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中文说明（小红书数据采集）

无需登录 Cookie 的小红书采集工具，一个 Actor，三种模式：

1. 热门笔记流 — 直接拉取小红书推荐流，无需任何输入。适合内容选题、趋势洞察、跨境电商选品与品牌舆情。
2. 笔记详情 — 粘贴小红书笔记分享链接，获取标题、正文、点赞/收藏/评论/分享数、话题标签、@提及、图片地址、作者与时间。
3. 博主主页 — 粘贴博主主页链接，获取小红书号、简介、粉丝/关注/获赞数、IP 属地及最近笔记。

无需账号、无需 Cookie、无需过验证码。笔记详情使用分享链接里自带的 xsec_token，所以不用登录。

{ "noteUrls": ["从 App 复制的小红书笔记分享链接"] }

Apify 平台在中国大陆及台湾地区可正常访问，每月 $5 免费额度，无需信用卡即可试用。

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For AI agents

Deterministic typed rows, rowType discriminator, and a machine-readable SUMMARY in the key-value store. Call synchronously from any framework or MCP client:

curl -X POST "https://api.apify.com/v2/acts/apricot_blackberry~rednote-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

const { ApifyClient } = require('apify-client');
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('apricot_blackberry/rednote-scraper').call({ noteUrls: ['https://www.xiaohongshu.com/explore/<id>?xsec_token=<token>'] });
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Empty input returns the trending feed (never an error), so speculative agent calls always get data.

Honest limits

• Note details need the share URL's xsec_token. RedNote gates note detail behind a per-note token; the share link you copy contains it. A raw 24-char id alone won't open.
• Keyword search (by query) requires a logged-in session on RedNote and is not included in this cookie-free version.
• Comment threads are lazy-loaded behind RedNote's signed API and are not part of this version (the note's total comments count is included).
• Private or banned profiles return only what RedNote exposes publicly.