💬 Xiaohongshu (RedNote) Comments & Replies Scraper

Extract high-value comments, nested replies ("楼中楼"), author metadata, verified like metrics, and IP locations from any Xiaohongshu (RedNote / 小红书) post in seconds—with Zero Login & Zero Cookies Needed.

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⚡ Why Scrape Xiaohongshu Comments?

Xiaohongshu comments are a goldmine for e-commerce brands, dropshippers, and market intelligence researchers:

1. Direct Customer Feedback: Uncover authentic consumer reactions, opinions, and questions about products and trending posts.
2. Competitor & Market Research: Discover what real consumers love or hate about competing cosmetics, apparel, or electronics before launching your product.
3. Influencer Authenticity Audits: Distinguish genuine high-engagement creator communities from artificial bot spam.
4. Deep Nested Reply Trees: Most scrapers only capture preview comments. This scraper extracts the complete conversational tree, including replies between users.

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✨ Features

• 💬 Full Comment Trees: Scrapes both root top-level comments and nested reply chains ("楼中楼") with full hierarchy.
• 📍 Geographic Intelligence: Captures author IP location (province, city, and country) for regional market segmentation.
• 🔍 Clean Data Integrity: Automatic numerical parsing of Chinese scale metrics (万, k, 亿), ISO-8601 timestamps, and unexpiring permanent image CDNs.
• ⚡ Instant High-Speed Extraction: Delivers hundreds of comments in seconds with maximum throughput and zero waiting time.
• 🛡️ 100% Maintenance-Free Reliability: Autonomous platform resilience guarantees stable, uninterrupted data collection.
• 💰 Pay-Per-Event (PPE) Pricing: Predictable, transparent pricing with zero compute charges—you only pay for delivered data.

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💰 Pricing (Pay-Per-Event)

This Actor uses Apify's Pay-Per-Event (PPE) pricing model. You only pay for the actual comments successfully scraped into your dataset—never for idle time, proxy traffic, or compute units:

Event	Free Tier	Bronze Tier	Silver Tier	Gold Tier	Description
Actor Start	$0.05	$0.05	$0.05	$0.05	One-time fixed startup fee per run.
Scraped Comment	$0.00249	$0.00229	$0.00209	$0.00199	Charged per comment / nested reply delivered to your dataset.

Cost Example: Scraping 1,000 comments costs only ~$2.54 total (Start fee + $2.49). No hidden server or proxy charges.

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🔗 Supported Input Formats

You can pass Xiaohongshu notes in multiple convenient formats:

1. Full Web URLs with token (Recommended): https://www.xiaohongshu.com/explore/64256e08000000001300575e?xsec_token=...
2. Mobile App Share Links: http://xhslink.com/a/... (Automatically resolved to full URLs via high-speed HTTP redirects).
3. Bare 24-character Note IDs: 64256e08000000001300575e

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[!NOTE]

📌 Xiaohongshu Platform Comment Limits

Xiaohongshu (RedNote) manages comment accessibility via platform-level pagination limits:

• Anonymous Guest Mode (Default): Requires zero cookies or account setup. Xiaohongshu serves the first public page (typically ~20 to 50 top-level comments plus their nested replies) to unauthenticated visitors.
• Deep Pagination (>20–50 Comments): To paginate deeper into large posts, provide your logged-in session cookie (web_session=...) in the optional sessionCookie input parameter.
• Platform Ceiling: Even with logged-in cookies, Xiaohongshu's web API enforces an upper pagination ceiling per post (typically capping results at a few hundred comments). The actor extracts 100% of all comments that the platform makes available.

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📥 Input Parameters

Parameter	Type	Required	Description	Default
startUrls	Array	Yes	Post links (e.g. https://www.xiaohongshu.com/explore/66e...), bare 24-character note IDs, or mobile share links (xhslink.com/...).	Prefilled
maxCommentsPerNote	Integer	No	Maximum top-level comments to fetch per post (1 to 2,000). Note: Anonymous guest mode caps at ~20-50 comments; provide sessionCookie for deeper extraction.	50
includeSubComments	Boolean	No	When enabled, fetches nested replies underneath each root comment.	true
maxSubCommentsPerComment	Integer	No	Maximum nested replies to collect per comment (0 to 100).	10
sessionCookie	String	No	Optional logged-in cookie (web_session=...) for deep comment pagination (>20 comments).	None
proxyConfiguration	Object	Yes	Apify Residential Proxy is strictly required.	RESIDENTIAL

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📤 Sample Output JSON (1 Row = 1 Comment)

[
  {
    "id": "645a340a000000001500e209",
    "noteId": "645a13770000000014027734",
    "noteUrl": "https://www.xiaohongshu.com/explore/645a13770000000014027734",
    "content": "鞋子跟样貌一样吸睛[飞吻R][飞吻R][飞吻R]",
    "likeCount": 18,
    "subCommentCount": 1,
    "isSubComment": false,
    "targetCommentId": "",
    "parentCommentId": "",
    "ipLocation": "马来西亚",
    "createTime": 1683633162000,
    "createdAt": "2023-05-09T11:52:42Z",
    "author": {
      "id": "628748700000000021022fa0",
      "nickname": "双鱼座老女孩",
      "avatar": "https://sns-avatar-qc.xhscdn.com/avatar/634e99245e86e230b011a111.jpg",
      "profileUrl": "https://www.xiaohongshu.com/user/profile/628748700000000021022fa0",
      "ipLocation": "马来西亚"
    }
  },
  {
    "id": "645a3517000000000a000ecb",
    "noteId": "645a13770000000014027734",
    "noteUrl": "https://www.xiaohongshu.com/explore/645a13770000000014027734",
    "content": "求同款裙子链接！🔗 多少钱入手的？",
    "likeCount": 6,
    "subCommentCount": 0,
    "isSubComment": true,
    "targetCommentId": "645a340a000000001500e209",
    "parentCommentId": "645a340a000000001500e209",
    "ipLocation": "上海",
    "createTime": 1683633431000,
    "createdAt": "2023-05-09T11:57:11Z",
    "author": {
      "id": "5c6b6a31000000001203525f",
      "nickname": "茜茜笑熹熹🐥",
      "avatar": "https://sns-avatar-qc.xhscdn.com/avatar/1040g2jo321jbg6787o105n3bd8okmkivcqib7n0.jpg",
      "profileUrl": "https://www.xiaohongshu.com/user/profile/5c6b6a31000000001203525f",
      "ipLocation": "上海"
    }
  }
]

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💬 Enterprise Support & Custom Pipelines

Need custom web data feeds, high-frequency scheduled runs, private cluster deployments, or dedicated SLAs?

• 📧 Direct Email: contact@unitbytes.com
• 🌐 Enterprise Platform: https://unitbytes.com
• 💡 Data Engine Specs & Live Docs: https://unitbytes.com/actors/xiaohongshu-comments-scraper/