China Cross-Platform Trend & KOL Analyzer

Combine supplied Weibo, RedNote, Bilibili and other China-social records into topic momentum, creator signals and cross-platform convergence reports. Compare snapshots, rank trends, and export structured decisions for social research and automation. No live login or restricted content collection.

Why use this Actor

Teams monitoring China social platforms need one comparable decision layer across incompatible schemas, rankings and engagement metrics instead of manually reconciling separate exports.

Key features

• Buyer-native inputs aligned to cross platform social intelligence.
• Predictable structured output in the default Apify Dataset.
• Pay Per Event pricing tied to measurable result rows or reports.
• Optional MCP connector delivery for downstream automation and AI agents.

Quick start

Start with this working example and replace the target values with your own:

{
  "records": [
    {
      "platform": "Weibo",
      "contentId": "example-weibo",
      "title": "AI wearable launch",
      "topic": "AI wearable",
      "creator": "Brand Example",
      "engagement": 1400,
      "engagementDelta": 240,
      "rank": 3,
      "rankDelta": 2
    },
    {
      "platform": "RedNote",
      "contentId": "example-rednote",
      "title": "AI wearable hands-on",
      "topic": "AI wearable",
      "creator": "Creator Example",
      "engagement": 1000,
      "engagementDelta": 190,
      "rank": 5,
      "rankDelta": 2
    }
  ]
}

The Actor writes structured results to the default Apify Dataset and can be used from the Store, API, schedules, Tasks, automations and MCP-compatible AI workflows.

Input

• records — Snapshot records: Rows from upstream public-platform collectors. Each row should include platform plus topic/title, with optional creator, engagement, engagementDelta, rank and rankDelta.
• minPlatforms — Minimum platforms: Return only signals observed on at least this many distinct platforms.
• minMomentumScore — Minimum momentum score: Return only fused signals at or above this 0-100 momentum threshold.

All integration and advanced analysis fields are optional. The default example is intentionally runnable without configuring MCP or a previous-run baseline.

Output

The Dataset exposes predictable machine-readable output. Representative fields include results.

Pricing

This Actor uses Pay Per Event. The current factory base price is $0.002500 per result event. The Apify Store remains the source of truth for the price and plan/tier details shown to the buyer.

Use cases

• Run the buyer-ready workflows exposed as Apify Tasks without preparing a custom integration first.
• Use the Actor from API or schedules for recurring collection, comparison or monitoring.
• Feed the structured Dataset output into spreadsheets, databases, automations or AI agents.
• Compare repeat runs when the product supports snapshots or previous-run inputs.

Automation and AI

Use the same Actor through Apify API, schedules, public Tasks and the Apify MCP server. Outputs are structured for downstream workflows and AI agents rather than requiring manual copy/paste.

Limitations

• Public websites and upstream APIs can change markup, access rules, rate limits or field availability without notice.
• Fields that are not publicly available are returned as unavailable or omitted rather than fabricated.
• Analytical outputs depend on the quality and coverage of the supplied or collected source data.
• Treat marketplace, reputation, workforce, safety or commercial signals as decision support and validate material decisions against the underlying source evidence.

Detailed documentation

Detailed documentation

Detailed documentation

Use this Actor to analyze china cross-platform trend and kol and return decision-ready structured signals. It is designed for repeatable human, API, Apify AI, and MCP-driven workflows.

China Cross-Platform Trend & KOL Intelligence is a decision layer for teams that already collect public data from Chinese social platforms and need one comparable signal surface across incompatible schemas. It accepts snapshot rows from sources such as Weibo, RedNote / Xiaohongshu, Bilibili, Kuaishou / Kwai, and WeChat-family collectors, normalizes the platform labels, groups records by topic, scores momentum, measures platform breadth, and emits deterministic actions for analysts and AI agents.

What this Actor does

Instead of pretending that every Chinese platform exposes the same metrics, the Actor preserves the upstream evidence and derives a normalized intelligence layer. Each input row can carry a platform, content ID, title or topic, creator, engagement, engagement delta, rank, and rank delta. Missing optional fields are tolerated. The Actor computes a per-record momentum estimate, fuses rows sharing the same normalized topic, counts distinct platforms and creators, and produces one decision-ready signal.

The main output fields are topic, platformCount, platforms, recordCount, creatorCount, combinedMomentumScore, agentAction, and topEvidence. Actions are deterministic: CROSS_PLATFORM_BREAKOUT identifies strong topics confirmed across at least three platforms, CONVERGING_TREND identifies multi-platform momentum, PLATFORM_SURGE identifies a strong but narrower surge, and WATCH keeps weaker signals visible without overstating them.

Why use this Actor

Chinese social monitoring is fragmented. A Weibo hot-search row, a RedNote note, a Bilibili video, and a Kuaishou creator signal do not naturally line up. Raw multi-platform exports therefore create a second problem: somebody still has to decide whether several records describe the same market movement and whether that movement is broad enough to matter.

This Actor focuses on that second problem. It is intentionally separate from transport-specific collectors. That means a collector can evolve from HTML to MTOP, browser, proxy, or another legitimate public-data surface without forcing downstream analysts to rewrite their fusion logic.

Key features

• China-focused platform normalization across heterogeneous upstream schemas.
• Cross-platform topic convergence and platform-breadth measurement.
• Creator/KOL counts with retained top evidence for auditability.
• Engagement-delta and rank-delta momentum scoring.
• Deterministic agent actions for breakouts, convergence, platform surges, and watch signals.
• No platform credentials required because the Actor operates on supplied public-data snapshots.

Input

records is required and accepts up to 5,000 upstream snapshot rows per run. minPlatforms filters out signals that do not appear across enough distinct platforms. minMomentumScore applies a 0-100 decision threshold after fusion. A safe example is prefilled in the Apify Console so the default run works without credentials or external setup.

Output

Every dataset row represents one fused topic signal. topEvidence retains the strongest contributing records with platform, content ID, title, creator, engagement, engagement delta, rank, rank delta, and the normalized per-record momentum score. This makes every decision traceable instead of turning the score into unexplained numerical theater.

Typical use cases

Use the Actor for China trend monitoring, KOL momentum analysis, launch tracking, campaign propagation, reputation escalation, consumer-category research, competitor narrative monitoring, and agentic market-intelligence pipelines. Twenty task blueprints cover distinct operational intents including daily convergence, breakout radar, product launches, automotive, beauty, gaming, travel, retail, crisis monitoring, and agent-ready priority feeds.

Product advantage

The Actor is not another generic multi-network scraper. Its first advantage is functional: it provides a China-focused normalization contract for upstream Weibo, RedNote, Bilibili, Kuaishou, and WeChat-family snapshot rows. Its second advantage is analytical: it turns platform breadth plus engagement and rank movement into deterministic convergence actions. Current direct multi-platform competitors reviewed in the Apify Store emphasize extraction, unified rows, account metrics, rankings, or engagement, but do not document this China-specific convergence-to-action layer.

Reliability and limitations

The Actor does not bypass logins, CAPTCHAs, anti-bot controls, private APIs, or platform terms. It only fuses data supplied by the caller. Therefore the freshness and completeness of the result depend on the upstream snapshots. Engagement values also differ by platform, so the momentum score is a practical normalization heuristic rather than a claim that likes, views, comments, and rank positions are economically identical.

Pricing

The product uses one primary pay-per-result event: one fused decision-ready cross-platform signal. There is no start-fee design in the local factory configuration. Tiered pricing is applied by the factory where the Apify pricing surface supports it.

Automation and AI agents

The stable schema is designed for downstream automation. Agents can filter on agentAction, platformCount, or combinedMomentumScore, inspect topEvidence, and route only high-confidence signals into research, alerts, reports, or campaign workflows. Because the decisions are deterministic and evidence-backed, the same input produces explainable output rather than an opaque model guess.