Xiaohongshu Topic Semantic & Content Opportunity Radar

Turn Xiaohongshu / RedNote topic searches into a decision-ready map of related terms, semantic themes, trend velocity, brand penetration, top and latest content, and evidence-linked content whitespace.

This Actor is an independent, unofficial research tool and is not affiliated with Xiaohongshu or RedNote.

What one report answers

• Which related terms and hashtags surround the seed topics?
• Which decision, concern, review, tutorial, scenario, specification, price, and recommendation clusters dominate?
• Which terms and clusters are new, accelerating, stable, or declining versus the previous comparable snapshot?
• How deeply do tracked brands penetrate posts and engagement?
• Which posts are the most engaging, and which are the newest?
• Which angles combine high sampled demand, lower relative supply, and positive momentum?

Content opportunity logic

The opportunity score combines three separately visible inputs:

• Demand: average sampled engagement
• Supply gap: relative scarcity within the analyzed sample
• Momentum: observed post-count growth versus a previous comparable snapshot

Each opportunity includes score components, sample confidence, evidence post IDs, and a plain-language explanation. Low-sample confidence reduces the final score, and overlapping terms supported by the same posts are consolidated. A single high-engagement post cannot be presented as a high-confidence trend.

Data modes

No-Cookie demo

Run the default input to see related terms, semantic clusters, brand penetration, trend signals, top/latest content, and whitespace ranking across four sample sunscreen topics.

Uploaded notes

Choose uploadedNotes and provide a current post sample. Common flat and nested note_card field names are normalized automatically. Add previousNotes for immediate growth calculations. This mode requires no Cookie and accepts compatible exports from other Xiaohongshu Actors.

Live topic search

Choose liveSearch, enter one to five seed topics, and provide your own Xiaohongshu session Cookie in the secret input. The Cookie is never written to output or logs.

Authenticated search can be affected by account state, session expiry, region, rate limits, ranking changes, and platform updates. Use only data you are authorized to access.

Example input

{
  "mode": "liveSearch",
  "seedTopics": ["控糖饮食", "糖尿病保健品", "餐后血糖"],
  "brandKeywords": ["品牌甲", "品牌乙"],
  "relatedKeywords": ["副作用", "升糖", "主食", "价格", "效果"],
  "customClusters": [
    {"name": "diet-and-staples", "keywords": ["控糖饮食", "主食", "升糖"]},
    {"name": "safety-and-evidence", "keywords": ["副作用", "临床", "证据", "安全吗"]}
  ],
  "monitorKey": "diabetes-content-cn",
  "maxPostsPerTopic": 20,
  "maxTotalPosts": 100,
  "rememberBaseline": true
}

Continuous monitoring

Save a configured run as an Apify Task and add a daily or weekly Schedule. Reuse the same monitorKey. The first successful run creates a private aggregate baseline. Later runs compare post counts for topics, terms, and clusters against it.

Use resetBaseline when you intentionally change the topic set or sampling method.

Pricing

$4.99 per report for up to five seed topics and 100 unique posts.

The paid event is emitted only when at least one usable post matches the seed topics. Platform usage is included in the customer price; Apify may also display its standard tiny Actor-start event.

Limitations

• Search results are ranked samples, not the platform's complete topic universe.
• Post-count growth reflects comparable collected samples, not an official platform volume index.
• Public engagement counters change over time and can be incomplete.
• Semantic classification is deterministic and auditable; add custom clusters for specialized medical, technical, or category language.
• Opportunity scores indicate whitespace candidates, not guaranteed performance.
• Follow platform terms, privacy obligations, advertising rules, and applicable law.