Social Commerce

Xiaohongshu (RED) Market Scraping

Extract product discovery notes, KOL content data, brand mention intelligence, and social commerce signals from Xiaohongshu (Little Red Book) — China's dominant lifestyle discovery and social commerce platform with 300M+ monthly users.

Official platform:xiaohongshu.com ↗Social CommerceChinaKOL/KOC
300M+
Monthly Active Users
80%
Female Users
70%
Gen Z / Millennial
China #1
Lifestyle Discovery Platform

Data Types We Extract

Comprehensive coverage of Xiaohongshu's commerce surfaces — from product notes and KOL content to brand store data and cross-border demand signals.

Product Notes (Zhong Cao)
User and KOL product review notes with pricing mentions, brand data, and engagement signals.
  • Product name and brand mention
  • Price reference (CNY/USD)
  • Note like and collect counts
  • Comment count and sentiment
  • Product category and tags
Shop & Catalog Data
Official brand store and merchant catalog listings within Xiaohongshu's integrated shop.
  • Product title and SKU
  • Listed price (CNY)
  • Flash/limited sale prices
  • Stock availability signals
  • Brand certification status
KOL & KOC Intelligence
Key Opinion Leader and Key Opinion Consumer content data, follower metrics, and brand collaboration signals.
  • Creator handle and follower count
  • Content category/niche
  • Brand collaboration frequency
  • Engagement rate (likes+collects/views)
  • Verified/certified creator status
Search & Discovery Rankings
Product keyword search positions, category explore placements, and trending topic data.
  • Search ranking for product keywords
  • Explore page placements
  • Hot topic/hashtag rankings
  • Category browse positions
  • Trending product note detection
Brand & Category Intelligence
Brand mentions, note volume, consumer sentiment, and category trend analysis.
  • Brand mention volume over time
  • Share of voice by category
  • Positive/negative sentiment ratio
  • Price tier preference data
  • Competitor brand comparison
Cross-Border Commerce Signals
Overseas brand interest, daigou proxy demand, and international product discovery on RED.
  • Foreign brand note volume
  • Cross-border product interest signals
  • International brand ranking in CN
  • Daigou demand proxy signals
  • Import product preference data

Platform Ecosystem

Xiaohongshu's commerce ecosystem blends UGC discovery, a tiered influencer network, live shopping, and brand storefronts into China's most trusted product recommendation environment.

UGC Discovery Commerce
User-generated product notes (种草) drive organic discovery — consumers research, share, and purchase based on authentic peer recommendations, making UGC the platform's primary conversion engine.
KOL/KOC Ecosystem
A tiered creator ecosystem from mega KOLs to nano KOCs (key opinion consumers), enabling brands to engage authentic influencers at every reach and engagement level.
Live Shopping
Rapidly expanding live stream commerce channel where KOLs and brands host real-time product demonstrations with integrated purchasing, growing as a major revenue stream.
Brand Official Stores
Certified brand storefronts within Xiaohongshu's shopping tab, enabling direct-to-consumer sales alongside organic content discovery.

Use Cases

From China beauty market intelligence to Gen Z trend research, Xiaohongshu data powers brand strategy and competitive intelligence for the world's most influential social commerce platform.

China Beauty Market Intelligence
Track product note volume, brand share of voice, and consumer sentiment across beauty categories on China's most influential beauty discovery platform.
  • Brand mention volume tracking
  • Category share of voice analysis
  • Positive/negative sentiment trends
  • Emerging ingredient and product trends
  • Price tier preference mapping
Lifestyle Trend Monitoring
Detect emerging lifestyle, fashion, and home décor trends before they hit mainstream retail — Xiaohongshu consistently leads Chinese consumer trend adoption.
  • Rising hashtag and topic detection
  • Category explore trending signals
  • Viral note pattern identification
  • Seasonal trend emergence tracking
  • Cross-category trend correlation
KOL Campaign Analysis
Evaluate KOL and KOC performance for specific brand campaigns — tracking reach, engagement, and product mention conversion across creator tiers.
  • Creator-brand pairing frequency
  • Engagement rate by creator tier
  • Post timing and cadence patterns
  • Campaign note volume benchmarking
  • Competitor KOL partnership mapping
Brand Store Benchmarking
Compare official brand store performance — pricing, product depth, availability, and catalog strategy across competing brands on Xiaohongshu.
  • Product catalog depth comparison
  • Pricing strategy benchmarking
  • Sale frequency and discount depth
  • New product launch tracking
  • Availability rate monitoring
Cross-Border Product Demand Signals
Identify which international products are generating organic demand on Xiaohongshu before official China market entry — the earliest indicator of cross-border consumer intent.
  • Foreign brand organic note volume
  • Consumer intent signal extraction
  • Daigou demand proxy indicators
  • Price sensitivity in note comments
  • International brand ranking in China
Gen Z Consumer Trend Research
Analyze the purchase preferences, brand affinities, and product discovery behavior of China's Gen Z consumers — the platform's dominant demographic.
  • Gen Z category preference mapping
  • Brand affinity signal extraction
  • Aesthetic and lifestyle trend tracking
  • Product attribute preference analysis
  • Emerging brand discovery patterns

Sample Data Fields

A representative sample of the structured fields delivered in every Xiaohongshu dataset.

FieldExampleType
note_idXHS-NOTE-abc123xyzstring
creator_handle@美妆达人小雨string
creator_followers580000integer
creator_typeKOLstring
product_brandLa Merstring
product_nameThe Moisturizing Soft Cream 60mlstring
price_mention_cny2150float
note_likes34200integer
note_collects18700integer
note_comments892integer
categoryBeauty > Skincare > Moisturizersstring
is_brand_collabtrueboolean
has_shop_linktrueboolean
hashtags护肤, 大牌护肤, 敏感肌string
note_typeImage Notestring
scraped_at2025-07-12T16:00:00Ztimestamp
China Commerce Expertise
Specialized experience with Chinese social commerce platforms — bilingual content processing, KOL/KOC tier classification, PIPL-compliant data handling, CNY price extraction, and brand mention normalization across Simplified Chinese content.
China Market Entry Intelligence
Essential data for brands entering China — brand mention tracking, consumer trust signal analysis, KOL partnership identification, cross-border demand estimation, and category competitive landscape on China's #1 product discovery platform.
PIPL Compliant
Extracting only publicly available creator content and brand catalog data in compliance with China's Personal Information Protection Law (PIPL), Data Security Law (DSL), and applicable international privacy standards.

About Xiaohongshu

Xiaohongshu (Little Red Book / RED) is China's leading lifestyle discovery platform with over 300 million registered users, predominantly young urban women. The platform blends Instagram-style content sharing with Pinterest-like discovery and direct commerce, making it the first destination for Chinese consumers researching beauty, fashion, travel, and home décor products. Product recommendations from KOLs (key opinion leaders) and KOCs (key opinion consumers) carry extraordinary influence in driving purchase decisions.

DataWeBot extracts Xiaohongshu product listings, brand store data, pricing, and content engagement metrics to deliver the social commerce intelligence brands need to succeed in China's most influential product discovery channel.

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Frequently Asked Questions

Everything you need to know about our ecommerce data extraction services.

Xiaohongshu (Little Red Book / RED) is China's dominant lifestyle and social commerce platform — a hybrid of Instagram and Pinterest with integrated shopping. With 300M+ monthly users (80% female, 70% Gen Z/millennial), it is the primary product discovery and consumer trust-building channel for beauty, fashion, travel, and lifestyle brands in China.

Yes. We extract creator notes including follower count, engagement metrics (likes, collects, comments), brand collaboration signals, product mentions, price references, and category/hashtag data — enabling KOL marketing intelligence and brand collaboration analysis.

Yes. By monitoring brand mention volume, note sentiment, and engagement patterns over time, we build brand share-of-voice and sentiment trend databases — enabling brand health monitoring and competitor analysis on China's most influential product discovery platform.

Yes. We extract product catalog data from officially certified brand stores on Xiaohongshu, capturing CNY pricing, sale prices, and stock availability signals from the platform's integrated shopping feature.

Xiaohongshu is the primary trust-building channel for international brands in China. Consumer trust (zhong cao — being 'planted') on RED directly precedes purchase decisions. We track overseas brand note volume, consumer interest trends, and cross-border product preference signals for international market entry intelligence.

Standard schedules update daily for brand mention monitoring. Trending topic and viral content detection can be configured for near-real-time tracking for campaign launch monitoring.

Yes. We offer unified China social commerce intelligence combining Xiaohongshu, Douyin (TikTok China), WeChat Mini Program shops, and Weibo for complete China digital commerce coverage.

Data is delivered via REST API, webhook, or file downloads (JSON, CSV, Parquet). Custom schemas for China market intelligence platforms, brand monitoring tools, or KOL campaign analytics are available.

We extract only publicly available note and product data in compliance with applicable Chinese data laws (PIPL, DSL) and international privacy standards, targeting public creator content and brand catalog data only.

Yes. We monitor trending hashtag volumes, category explore placements, and viral note detection — providing early trend signals for product categories gaining consumer attention on RED before mainstream retail adoption.