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

io.github.serenidoPublished by GitHub account serenidov1.0.0Updated Oct 29, 2026

RedNote (Xiaohongshu 小红书) trending notes, no login: full text, images, video, tags, likes, saves.

VerifiedStreamable HTTPWeb executableWeb Search & ScrapingData & Analytics

Overview

AI-generated overview

Collects trending RedNote (Xiaohongshu) notes with full text, images, video links, tags and engagement counts, as clean JSON, without a RedNote login.

What you can do
  • Fetch trending notes from RedNote's recommended feed, up to 1,000 per run
  • Read full text, topic tags, images, video link and length, and mentioned users
  • Get likes, saves, comments, shares, publish time and IP location as numbers
  • Filter by keyword, minimum likes or recency, or read note and share links
  • Export results as JSON, CSV or Excel, or pass them to automation tools
When to use it
Useful for tracking what Chinese consumers are discussing by topic, finding viral content ideas and creators for China marketing, or building Chinese social media datasets for research and AI work.
Requirements
Remote MCP endpoint at mcp.apify.com with the tool path for this scraper; an Apify account connected via OAuth on first use. Runs in Apify's cloud, so no local runtime, proxy or RedNote account is needed.
Before you install
Usage is billed at $3 per 1,000 notes, drawn from your Apify plan credit; failed or blocked notes are reported as free rows. Connecting grants the server access to your Apify account, and collected note content and author details come from a third-party platform.

Installation

In SourceWeft

  1. Open RedNote Trending (小红书): Viral Notes, Full Text & Likes in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.serenido%2Frednote-trending/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "rednote-trending-viral-notes-full-text-l": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=serenido/rednote-trending-scraper"
    }
  }
}

README

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

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

bash
pip install -U apify-client
python
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)

bash
npm install apify-client
javascript
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.

bash
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:

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

Input example

json
{  "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)

json
{  "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][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

More tools by Serenido

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.

Source: README.md at commit 7b9f6a2

Tools

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Version history

1
  1. v1.0.0LatestOct 29, 2026

Score

75% of the applicable checks met

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  • Reached in the last 30 daysRequired25 pts
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  • Tools listed15 pts

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  • DescriptionRequired15 pts
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