APAC E-Commerce & Social

RedNote Xiaohongshu / 小红书 / XHS Posts, Videos, Trends & Search

The definitive enterprise data engine for Xiaohongshu (小红书 / RedNote). Extract viral consumer trends, engagement metrics, and unwatermarked multimedia at scale without account bans or cookie degradation.

100% AnonymousSub-Second StartupZero Login RequiredUnwatermarked Media CDNs

Deploy on UnitBytes Cloud Request BigQuery / S3 Push

Pricing: $0.0022 / item

•

Latency: Sub-Second

•

Format: JSON / CSV

normalized_output.json

HTTP 200 OK

{
  "id": "6a7568cc00000000050328d9",
  "title": "Autumn Capsule Wardrobe: 5 Minimalist Outfits for Office & Daily Wear",
  "desc": "Sharing my favorite autumn minimalist styling guide! Coat from vintage thrift store, trousers matched with loafers. #AutumnOOTD #CapsuleWardrobe #MinimalistStyle #OfficeFashion",
  "type": "video",
  "url": "https://www.xiaohongshu.com/explore/6a7568cc00000000050328d9?xsec_token=AB4829fa...&xsec_source=pc_feed",
  "author": {
    "id": "647b64a400000000120349b8",
    "nickname": "Elena Daily Style",
    "avatarUrl": "https://sns-avatar-qc.xhscdn.com/avatar/647b64a400000000120349b8.jpg",
    "profileUrl": "https://www.xiaohongshu.com/user/profile/647b64a400000000120349b8",
    "redId": "elena_fashion",
    "bio": "Fashion & Lifestyle Creator in Shanghai | Daily Outfit Inspo",
    "isVerified": false
  },
  "likedCount": 18450,
  "collectedCount": 12890,
  "commentCount": 420,
  "sharedCount": 3150,
  "canShare": true,
  "viralScore": 62450.0,
  "engagementRate": 89.21,
  "imageCount": 2,
  "hasVideo": true,
  "isLivePhoto": false,
  "coverUrl": "https://sns-img-qc.xhscdn.com/1040g008323luhj1vnk5g5qi11c5jv001abram18",
  "coverDimensions": {
    "width": 1080,
    "height": 1440
  },
  "images": [
    "https://sns-img-qc.xhscdn.com/1040g008323luhj1vnk5g5qi11c5jv001abram18",
    "https://sns-img-qc.xhscdn.com/1040g2sg323jg6lprgmig5n7igt3h9u3s8t45lfo"
  ],
  "videoUrl": "https://sns-video-qc.xhscdn.com/stream/110/259/01e479a83bc.mp4",
  "videoDuration": 48,
  "ipLocation": "上海",
  "tags": [
    "AutumnOOTD",
    "CapsuleWardrobe",
    "MinimalistStyle"
  ],
  "tagCount": 4,
  "tagList": [
    {
      "id": "5befe9e0ffd6080001cbb9cb",
      "name": "AutumnOOTD",
      "type": "topic"
    },
    {
      "id": "53b4d29ab4c4d61b0ba2ee94",
      "name": "CapsuleWardrobe",
      "type": "topic"
    }
  ],
  "mentions": [],
  "mentionCount": 0,
  "atUsers": [],
  "publishedAt": "2026-09-15T08:24:10+00:00",
  "updatedAt": "2026-09-15T09:12:05+00:00",
  "sentiment": {
    "hasPurchaseIntent": true,
    "hasInquiry": true,
    "hasPraise": true,
    "intentKeywords": [
      "哪里买",
      "求链接",
      "多少钱"
    ],
    "emojis": [
      "✨",
      "🍂",
      "🧥"
    ]
  },
  "scrapedAt": "2026-09-18T01:43:26.549000+00:00"
}

RedNote Xiaohongshu / 小红书 / XHS Posts, Videos, Trends & Search Banner - UnitBytes Enterprise Web Data Engine

Engine Architecture

Key Extraction Capabilities

Built specifically for high-throughput enterprise pipelines with zero credential leakage.

Zero-Cookie Autonomous Access

Extract real-time trend data without logging into personal Xiaohongshu accounts. Zero ban risk, zero session expiration.

Deep Multimedia Normalization

Automatically extracts original unwatermarked 1080p photo carousels and high-bitrate MP4 video stream URLs.

Comprehensive Interaction Metrics

Detailed likes, collections, comments, and share counts normalized into clean numeric types for instant analytics.

Sub-Second Fast-Path Execution

Engineered with cross-session caching and browser-grade TLS JA4 fingerprinting for 0.05-second startup latency.

Instant Developer Integration

Run in Your Application in 3 Lines

Trigger extractions via the official Apify Client or standard REST endpoints.

Python SDK • pip install apify-client

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "startUrls": [
        {
            "url": "https://www.xiaohongshu.com/search_result?keyword=OOTD&sort=popularity_descending"
        }
    ],
    "keywords": ["OOTD"],
    "maxItems": 30,
    "proxyConfiguration": {
        "useApifyProxy": True
    }
}

run = client.actor("unitbytes/xiaohongshu-rednote-trend-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("title"), item.get("updatedAt"), item.get("url"))

Technical Documentation

Frequently Asked Questions

Q: Do I need a Xiaohongshu account or personal login cookies?

No. The UnitBytes engine operates 100% anonymously using autonomous request orchestration. You never need to supply login credentials, session cookies, or phone numbers.

Q: Are the image and video links permanent or do they expire?

All extracted media links are normalized to permanent public CDN endpoints without expiring authorization signatures, preventing 403 Forbidden errors in your downstream applications.

Q: How does the pricing work?

This actor utilizes Apify Pay-Per-Event (PPE) model at $0.003 per extracted note. You only pay for successfully parsed records, with zero standby or compute time overhead.

Q: Can I schedule automated daily or hourly extractions?

Yes. You can schedule recurring runs directly in the Apify Console or trigger runs via Webhook or REST API from your own backend or Airflow DAGs.