RedNote (Xiaohongshu) Scraper — Trending Notes & Creators

Discover what's trending on RedNote / Xiaohongshu (小红书) right now — no cookie, no login, no API key. Sweep dozens of discovery channels and export 500+ trending notes per run with titles, like counts, cover images, note URLs and creator profile leads to JSON, CSV or Excel.

RedNote (Xiaohongshu, "Little Red Book", RED) is one of China's largest social-commerce and lifestyle platforms, with 300M+ monthly users and a huge global audience since 2025. This scraper turns its live discovery feeds into clean, structured data for trend tracking, creator (KOL) discovery, content research and marketing intelligence — the honest, genuinely keyless way.

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What does the RedNote Scraper do?

This actor fetches RedNote's server-rendered /explore pages and parses the inline window.__INITIAL_STATE__ JSON that RedNote ships with every page load. That embedded state contains the live feed.feeds[] array — the exact note cards RedNote's own website renders. No headless browser, no signature, no cookie: just fast HTTP requests via got-scraping.

RedNote exposes dozens of discovery channels (?channel_type=...) — Recommend, Fashion, Food, Cosmetics, Movie & TV, Career, Love, Household, Gaming, Travel, Fitness, Video, Beauty, Parenting, Tech, Car, Pets, Sports, Music, Photography, Finance, Anime, Astrology, Jewelry and many more. Each channel returns ~24 note cards, channels barely overlap, and every request refreshes with brand-new notes (verified 0% overlap over repeated passes). The scraper loops the channels in a multi-cycle round-robin, dedupes by note ID, and accumulates 500+ unique trending notes per run (bounded by maxResults, default 500). Each note yields its title, like count, cover image, public note URL, and the creator's handle + profile URL — a ready-made lead list of trending creators.

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Who is it for?

• Social media & content marketers tracking what resonates on RedNote this week.
• Trend and market researchers monitoring lifestyle, beauty, food, travel and fashion trends in the Chinese market.
• Influencer / KOL discovery teams building lists of active, trending creators to partner with.
• E-commerce and brand teams watching content formats, hooks and cover styles that drive engagement.
• Data engineers & analysts who need a keyless, scriptable feed of RedNote discovery data for dashboards or ML.

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Use cases

• Trend radar — run the trending sweep daily and diff results to see which topics, hashtags-in-titles and formats are heating up.
• Creator lead generation — export creator nicknames + profile URLs across every channel to seed influencer outreach.
• Content benchmarking — study the titles and cover images of the highest-liked notes per channel for creative inspiration.
• Vertical monitoring — pull just the Beauty (Cosmetics), Food, Travel or Fashion channel to track a specific niche.
• Engagement analytics — aggregate like counts per channel over time to measure category momentum.

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Why use this RedNote Scraper?

• 🔓 Genuinely keyless — no cookie, no login, no account, no API key. Competitors that require you to paste your own RedNote cookie put your account at risk; this one never does.
• 🌊 All-channel sweep with dedupe — one run covers dozens of discovery channels, re-loops as the feed refreshes, and returns 500+ unique notes, not a single page.
• 👥 Creator lead URLs — every note includes the creator's handle and profile URL, so results double as a trending-creator list.
• 🔢 Clean numeric data — like counts are real numbers (RedNote's "1.4万" / "10万+" are parsed to 14000 / 100000), with the original string kept too.
• 🖼️ Media & links — cover image (full + preview), image URLs, and public note URLs with valid access tokens.
• 📤 Export anywhere — download as JSON, CSV or Excel, or push to Google Sheets, Slack, a database, or any app via the Apify API — pay per result.

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What data can you extract?

Each row is one trending note. Fields:

Field	Type	Description
noteId	string	RedNote note ID
type	string	normal (image note) or video
title	string	Note display title
likedCount	number	Like count as an integer (parsed from RedNote's formatted string)
likedCountText	string	Original RedNote like string, e.g. 10万+, 1.4万
channel	string	Source channel key, e.g. homefeed.food_v3
channelName	string	Human channel name, e.g. Food
coverImage	string	Full-resolution cover image URL
coverImagePreview	string	Low-res cover preview URL
coverWidth / coverHeight	number	Cover dimensions in pixels
images	array	Cover-derived image URLs
noteUrl / url	string	Public note URL (includes xsec_token)
xsecToken	string	Note access token
userId	string	Creator user ID
nickname	string	Creator nickname / handle
avatar	string	Creator avatar image URL
userUrl	string	Creator profile URL (lead)
creatorXsecToken	string	Creator access token
author	object	Nested creator object: userId, nickname, avatar, xsecToken, profileUrl
channelName, _mode, scrapedAt	string	Run metadata (channel, trending/channel, ISO timestamp)

Example output

{
  "noteId": "643ea89d000000001203ff96",
  "type": "normal",
  "title": "Chengdu 3-day food guide — best hotpot spots",
  "likedCount": 14000,
  "likedCountText": "1.4万",
  "channel": "homefeed.food_v3",
  "channelName": "Food",
  "coverImage": "https://sns-webpic-qc.xhscdn.com/....!nc_n_webp_mw_1",
  "coverImagePreview": "https://sns-webpic-qc.xhscdn.com/....!nc_n_webp_prv_1",
  "coverWidth": 1000,
  "coverHeight": 1334,
  "images": ["https://sns-webpic-qc.xhscdn.com/....!nc_n_webp_mw_1"],
  "noteUrl": "https://www.xiaohongshu.com/explore/643ea89d000000001203ff96?xsec_token=ABBub0mt...&xsec_source=pc_feed",
  "url": "https://www.xiaohongshu.com/explore/643ea89d000000001203ff96?xsec_token=ABBub0mt...&xsec_source=pc_feed",
  "xsecToken": "ABBub0mt0IDWHkm02Gor3cMMvewjnfNSW5iIcUe0A0NPw=",
  "userId": "63e746880000000026005b93",
  "nickname": "偷懒的猪猪",
  "avatar": "https://sns-avatar-qc.xhscdn.com/avatar/63f72625a2fd9b4da9e2e21e.jpg",
  "userUrl": "https://www.xiaohongshu.com/user/profile/63e746880000000026005b93?xsec_token=...",
  "creatorXsecToken": "ABBub0mt0IDWHkm02Gor3cMMvewjnfNSW5iIcUe0A0NPw=",
  "author": {
    "userId": "63e746880000000026005b93",
    "nickname": "偷懒的猪猪",
    "avatar": "https://sns-avatar-qc.xhscdn.com/avatar/63f72625a2fd9b4da9e2e21e.jpg",
    "xsecToken": "ABBub0mt0IDWHkm02Gor3cMMvewjnfNSW5iIcUe0A0NPw=",
    "profileUrl": "https://www.xiaohongshu.com/user/profile/63e746880000000026005b93?xsec_token=..."
  },
  "_mode": "trending",
  "scrapedAt": "2026-07-24T16:40:00.000Z"
}

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How to use

Option A — Trending sweep (default, recommended)

The simplest way: leave everything at its default and press Start. The scraper sweeps all channels, re-loops as the feed refreshes, dedupes, and returns up to maxResults (default 500) unique trending notes.

{
  "mode": "trending",
  "maxResults": 500
}

An empty input {} does exactly the same thing.

Option B — Single channel

Pick one channel to monitor a specific niche (e.g. Beauty or Food):

{
  "mode": "channel",
  "channel": "homefeed.cosmetics_v3",
  "maxResults": 200
}

Steps:

1. Click Try for free / Start.
2. Choose Mode — trending (all channels) or channel (one channel).
3. For channel mode, pick a Channel from the dropdown.
4. Set Max results (default 500).
5. Press Start, then download JSON / CSV / Excel when the run finishes.

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Input parameters

Parameter	Type	Default	Description
mode	select	trending	trending sweeps all channels & dedupes; channel pulls one channel.
channel	select	homefeed_recommend	Which single channel to pull in channel mode (48 options).
maxResults	integer	500	Max unique notes to collect (1–5000).
proxy	object	Residential	Proxy configuration. Residential recommended.

Full input example:

{
  "mode": "trending",
  "maxResults": 500,
  "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

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Output example

{
  "noteId": "63e5dcbc000000001d020324",
  "type": "video",
  "title": "领证全过程来啦！",
  "likedCount": 76000,
  "likedCountText": "7.6万",
  "channel": "homefeed.fashion_v3",
  "channelName": "Fashion",
  "coverImage": "https://sns-webpic-qc.xhscdn.com/....!nc_n_webp_mw_1",
  "coverImagePreview": "https://sns-webpic-qc.xhscdn.com/....!nc_n_webp_prv_1",
  "noteUrl": "https://www.xiaohongshu.com/explore/63e5dcbc000000001d020324?xsec_token=ABRhnpAF...&xsec_source=pc_feed",
  "nickname": "小鱼海棠",
  "userId": "5af954074eacab1f284d8d90",
  "userUrl": "https://www.xiaohongshu.com/user/profile/5af954074eacab1f284d8d90?xsec_token=...",
  "_mode": "trending",
  "scrapedAt": "2026-07-24T16:40:00.000Z"
}

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Tips for best results

• Keep residential proxies on. RedNote geoblocks some datacenter ranges; residential IPs are the reliable choice.
• Start small, then scale. Run with a small maxResults to validate, then raise it (default 500) for bigger pulls.
• Run on a schedule. Trending feeds change constantly — a daily or hourly schedule captures momentum over time.
• Dedupe across runs on noteId in your warehouse if you want a rolling unique set.
• Watch likedCountText for 10万+ values — RedNote caps the displayed number, so likedCount will read 100000 for anything above 100k.
• Use channel mode for niche monitoring — one channel gives deeper coverage of a single vertical.
• Cover images are CDN links (sns-webpic-qc.xhscdn.com) and may expire; download promptly if you need to archive them.
• Creator leads: userUrl + nickname across a sweep is an instant trending-creator shortlist.
• Bigger maxResults = more channel cycles. The run stops gracefully at a ~4-minute time budget and keeps whatever it collected.

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Integrations

Connect RedNote data to your stack with a few clicks:

• Google Sheets — auto-append every run's notes to a sheet.
• Slack — notify a channel when a run finishes.
• Zapier / Make — trigger downstream workflows on new results.
• Webhooks — POST results to your own endpoint.
• Schedule — run the trending sweep hourly or daily from the Apify scheduler.

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API usage

Run the actor from anywhere with the Apify API. Get your token from the Apify Console.

cURL

curl -X POST "https://api.apify.com/v2/acts/logiover~rednote-xiaohongshu-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{ "mode": "trending", "maxResults": 300 }'

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('logiover/rednote-xiaohongshu-scraper').call({
  mode: 'trending',
  maxResults: 300,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("logiover/rednote-xiaohongshu-scraper").call(
    run_input={"mode": "trending", "maxResults": 300}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item["likedCount"])

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Use with AI agents (MCP)

This actor works as a tool for AI agents via the Apify MCP server. Point your agent (Claude, ChatGPT, or any MCP-compatible client) at the Apify MCP endpoint and it can call this scraper on demand — for example: "Get the top 100 trending RedNote notes about food and list the creators with the most likes." The agent runs the actor, reads the dataset, and reasons over the structured results.

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FAQ

Is this RedNote scraper really keyless — no cookie or login?

Yes. It reads RedNote's public server-rendered /explore HTML (the __INITIAL_STATE__ blob) that anyone gets by visiting the site. You never provide a cookie, account or API key. This is the core difference from cookie-based scrapers.

What data can it collect?

Trending/discovery notes across dozens of channels: note ID, title, type, like count, cover image, note URL, and the creator's handle, ID and profile URL.

What can't it collect (limits / scope)?

Full note body text, comments, hashtags, exact publish timestamps, keyword search results, and detailed profile stats (followers, etc.) all require a logged-in cookie and RedNote's signed API — those are out of scope for this keyless actor. Honest scope = trust.

How many notes can I get per run?

500+ easily (default 500). Because the feed refreshes on every request and dozens of channels barely overlap, the scraper loops and dedupes to reach your maxResults (up to 5000, bounded by a ~4-minute time budget). A single full sweep of all channels already yields well over a thousand unique notes.

Why did I get fewer results than maxResults?

The run hit its time budget, or the residential IP pool was briefly rate-limited. Re-run (fresh IPs) or lower maxResults. Feeds also naturally have a finite pool of fresh notes at any moment.

Why are some fields null?

Fields that only exist on the note-detail page (full description, publishTime, commentCount, etc.) are null in this keyless feed by design — they're not present in the discovery SSR data.

Can I get a note's or creator's full page?

Yes — the noteUrl and userUrl include valid xsec_tokens, so you can open them in a browser. Extracting their full content requires a logged-in session and is out of scope here.

Why do I need a proxy?

RedNote geoblocks some datacenter IP ranges. The default residential proxy keeps requests reliable. Never force the datacenter-only group.

How do I export the data?

Download from the run's Dataset tab as JSON, CSV, Excel or XML, or pull it via the Apify API / client in your own code.

Is scraping RedNote legal?

This tool collects only publicly available data that RedNote serves to any visitor. You are responsible for using the data in line with RedNote's terms, applicable laws (e.g. GDPR), and for not collecting private personal information. See below.

How often is the actor updated?

It's maintained against RedNote's public /explore structure. If the site changes its embedded state format, the parser is updated. See the Changelog.

Can I monitor just one topic, like beauty or travel?

Yes — use channel mode and pick the matching channel (Cosmetics, Travel, Food, Fashion, etc.).

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Is it legal?

This scraper accesses only publicly available content that RedNote / Xiaohongshu serves to any unauthenticated visitor — the same data shown on the public /explore pages. It does not bypass authentication, does not use anyone's account, and does not collect private data. You are responsible for complying with RedNote's Terms of Service, robots directives, and all applicable data-protection laws (including GDPR/PIPL) when you store or process the results. Do not use scraped data to harass individuals or infringe rights. If you are unsure, consult a legal professional.

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Related scrapers

• TikTok Scraper — trending videos, creators and hashtags.
• Instagram Scraper — posts, profiles and reels.
• Weibo Scraper — Chinese microblog trends and posts.
• Pinterest Scraper — pins, boards and visual trends.

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