Xiaohongshu Brand Mentions, UGC & Seeding Monitor

Turn Xiaohongshu / RedNote posts into an evidence-linked brand monitoring report. Track who mentions your brand, which creators look like organic UGC, which posts contain suspected collaboration signals, how competitors' share of voice changes, and where abnormal growth appears.

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

What one report contains

• Brand, competitor, and category mention counts
• Share of voice with engagement and creator coverage
• Ranked UGC and suspected-collaboration creators
• Organic UGC evidence with source URLs
• Explainable collaboration, gifting, promotion, and seeding-format signals
• New posts and new creators since the previous run
• Engagement growth for posts present in both snapshots
• Mention spikes, collaboration-share changes, high-impact new posts, and creator concentration
• Compact private baseline storage for scheduled monitoring

The suspected-collaboration label is a review lead, not proof that a creator was paid or sponsored. Every label includes the public text signals that caused it.

Three ways to run it

1. No-Cookie demo

Keep mode set to demo. The sample report demonstrates organic UGC, competitor comparison, suspected collaboration, and before/after change detection.

2. Analyze an existing export

Choose uploadedNotes and paste note records exported from a compatible Xiaohongshu search or note Actor. No Cookie is required. Common note, author, hashtag, and engagement field names are normalized automatically.

You can also paste older rows into previousSnapshot to get an immediate before/after report.

3. Live keyword monitoring

Choose liveSearch, supply your own Xiaohongshu session Cookie in the secret field, and enter brand, competitor, and category terms. The Cookie is never included in dataset output or logs.

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

Example input

{
  "mode": "liveSearch",
  "brandKeywords": ["品牌甲", "品牌甲防晒"],
  "competitorKeywords": ["品牌乙", "品牌丙"],
  "categoryKeywords": ["敏感肌防晒", "通勤防晒"],
  "monitorKey": "brand-a-sunscreen-cn",
  "maxPostsPerKeyword": 20,
  "maxTotalPosts": 100,
  "growthThresholdPercent": 100,
  "rememberBaseline": true
}

Continuous monitoring

Save the configured run as an Apify Task, then add a daily or weekly Schedule. Reuse the same monitorKey. Each successful paid report stores a compact snapshot in the run owner's private default key-value store; the next run compares against it automatically.

Use resetBaseline when you intentionally change the monitoring scope. If you substantially change keywords without resetting, the before/after comparison may be misleading.

Pricing

$4.99 per monitoring report, analyzing up to 100 unique posts.

The report fee is charged only when a non-empty matched report is written. More than 100 posts require another run. Platform usage is included in the customer price; a tiny Actor-start event may still appear under Apify's standard pay-per-event display.

Data and interpretation limits

• Keyword search is a sample, not a complete census of Xiaohongshu.
• Search ranking can vary by account, location, and collection time.
• Public text cannot prove a commercial relationship.
• “Organic UGC” means a brand mention without detected collaboration signals; it is not a legal certification.
• Engagement is a public counter snapshot and may change or be unavailable.
• Follow platform terms, privacy requirements, advertising rules, and applicable law.

Output

One dataset row is returned per report. It includes brand/competitor-only shareOfVoice, separate categorySignals, creatorLeaderboard, topOrganicUgc, suspectedCollaborationEvidence, changeSincePreviousRun, anomalies, methodology, data-quality warnings, and optional normalized source posts.