RedNote Trending (小红书): Viral Notes, Full Text & Likes

RedNote (Xiaohongshu 小红书) Trending Notes API

Get the notes RedNote (Xiaohongshu, 小红书) is pushing right now, each with its full text, images, video link, tags, likes, saves, comments, shares, date and author, as clean JSON. Filter by keyword, likes or date, or paste note links. No RedNote account, no login, no cookies.

Runs in the cloud on Apify. No servers, no proxy setup, no code to maintain. [Open it on Apify](https://apify.com/serenido/rednote-trending-scraper)

Price: $3 per 1,000 notes. No monthly fee. Apify's free plan gives $5 of usage every month, no credit card needed. Current price.

What you get

• Up to 1,000 different trending notes per run from RedNote's main recommended feed (发现页)
• Full text, topic tags (话题), all images, video link and length, mentioned users
• Likes, saves (收藏), comments and shares as numbers (2.8万 becomes 28000), publish time in UTC and China time, IP location
• Filters: only notes about your words, a minimum number of likes, or posted in the last N days; also reads note links and xhslink.com share links
• Deleted, private or expired notes and blocked notes are saved as free rows with the reason, never charged

Quick start: Python

pip install -U apify-client

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("serenido/rednote-trending-scraper").call(run_input={ "maxNotes": 100, "keywords": [ "咖啡", "探店" ], "minLikes": 1000, "publishedWithinDays": 30 })

for item in client.dataset(run.default_dataset_id).iterate_items(): print(item)

Quick start: JavaScript (Node.js)

npm install apify-client

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor("serenido/rednote-trending-scraper").call({ "maxNotes": 100, "keywords": [ "咖啡", "探店" ], "minLikes": 1000, "publishedWithinDays": 30 });

const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items);

Quick start: one HTTP call

Runs the tool and returns the rows in one request. Good for runs under 5 minutes; for bigger runs use the Python or JavaScript example.

curl -X POST "https://api.apify.com/v2/acts/serenido~rednote-trending-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \

-H "Content-Type: application/json" \ -d '{"maxNotes": 100, "keywords": ["咖啡", "探店"], "minLikes": 1000, "publishedWithinDays": 30}'

Get your token in Apify Console > Settings > API & Integrations.

Use it from AI apps (MCP)

Any app that supports remote MCP servers (Claude, ChatGPT, Cursor, VS Code and others) can run this tool for you. Add this server URL: https://mcp.apify.com?tools=serenido/rednote-trending-scraper. Your Apify account connects on first use. Example config for Cursor:

{

"mcpServers": { "apify": { "url": "https://mcp.apify.com?tools=serenido/rednote-trending-scraper" } } }

Input example

{

"maxNotes": 100, "keywords": [ "咖啡", "探店" ], "minLikes": 1000, "publishedWithinDays": 30 }

Also: noteUrls (note links with their xsec_token, or xhslink.com share links) and fullDetail: false for a faster list from the feed alone. All options are listed on the input page.

Output example (one row)

{

"status": "ok", "rank": 20, "noteId": "6abf1c67000000001b02efe9", "type": "image", "title": "米汉堡…可保德克士荣华富贵🍔", "text": "德克士的米汉堡依旧和小时候一样好吃！在全是面包胚的汉堡时刻，烤过的米饭胚好满足，好像在吃一碗立起来的炸鸡拌饭害羞R\n\t\n#我的假期美食日记[话题]# #野生食评人howto[话题]# #德克士[话题]# #米汉堡[话题]#", "tags": [ "我的假期美食日记", "野生食评人howto", "德克士", "米汉堡" ], "likes": 5102, "likesText": "5102", "collects": 889, "comments": 352, "shares": 3300, "publishedAt": "2026-10-02T02:52:23Z", "publishedAtChina": "2026-10-02 10:52", "lastUpdatedAt": "2026-10-02T02:52:23Z", "ipLocation": "山东", "authorName": "头发太多L", "authorId": "5a30bfab11be103721aa004e", "authorUrl": "https://www.xiaohongshu.com/user/profile/5a30bfab11be103721aa004e", "authorAvatar": "https://sns-avatar-qc.xhscdn.com/avatar/1040g2jo31qaooo7an4004a08fpvqm02enkdr7fo", "coverImage": "https://sns-webpic-qc.xhscdn.com/202610270318/90462e729d8b740286c2c6080f0a40a5/note_pre_post_uhdr/1040g3r0325qacnn358004a08fpvqm02eqqibrb8!nd_dft_wlteh_jpg_3", "images": [ "https://sns-webpic-qc.xhscdn.com/202610270318/90462e729d8b740286c2c6080f0a40a5/note_pre_post_uhdr/1040g3r0325qacnn358004a08fpvqm02eqqibrb8!nd_dft_wlteh_jpg_3", "https://sns-webpic-qc.xhscdn.com/202610270318/9cc60cbf0b7da79ab3967d3ab29dfb8c/note_pre_post_uhdr/1040g3r0325qacnn358104a08fpvqm02euppvtu0!nd_dft_wlteh_jpg_3" ], "imageCount": 3, "videoUrl": null, "videoDurationSec": null, "mentions": [], "url": "https://www.xiaohongshu.com/explore/6abf1c67000000001b02efe9?xsec_token=ABrpeLWo2ZkPrnMon23RDGH1xShN2GedgYSWHonTSZbsQ%3D&xsec_source=pc_feed", "source": "trending feed", "scrapedAt": "2026-10-26T19:18:03Z" }

Real row from a test run on 26 October 2026, with images shortened here.

Download as JSON, CSV or Excel, or connect to Make, Zapier or n8n.

Use cases

• Seeing what Chinese consumers are talking about right now, by topic
• Finding viral content ideas and creators for China marketing
• Building Chinese social media datasets for research and AI

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Support

Found a bug or need a field? Open an issue here or on the Issues tab on Apify.

Use it only for public data and follow the website's terms and the laws that apply to you. This project is not affiliated with the websites it reads.