TikTok Shop Market Intelligence Suite

Create one evidence-backed TikTok Shop market report covering products, sampled sellers, public creators, video creatives, and review sentiment.

The Actor uses its own bounded HTTP and browser pipeline. It does not call external data APIs or other paid Actors, so one Suite run does not create hidden double billing.

What the report answers

• Which captured products have the strongest public demand, rating, price, and evidence signals?
• Which sampled sellers lead within the captured product set?
• Which public creator and video leads are worth reviewing?
• Which hooks, calls to action, formats, and creative angles appear in public captions?
• What do captured public text reviews say, and how large is the sample?
• Where is coverage incomplete or evidence too weak for a confident conclusion?

Analysis modes

• FULL: products, sampled sellers, creators, creatives, and public review sentiment.
• MARKET: products, sampled sellers, creators, and creatives without review-page extraction.
• PRODUCTS: the lightest product and sampled-seller report.

Input fields

Provide known TikTok Shop product URLs, specific product niches, or both. FULL mode defaults to five products per niche, ten reviews per product, ten creatives per product, and a hard browser-page budget.

Output contract

One dataset row represents one market intelligence report. It contains:

• top-level counts and top opportunities for fast table review;
• rankedProducts;
• sellers based only on the products captured in this report;
• creators and creatives with explicit association states;
• sentimentAnalyses with review sample sizes and topics;
• quality, coverage, and evidenceNotes;
• a pipeline declaration showing zero external data APIs and zero external Actors.

Missing public metrics remain null. Search-context videos are leads, not confirmed affiliate relationships. Public sold counts are cumulative signals unless TikTok explicitly exposes a fixed-period value.

MCP and agent usage

Use this Actor when a user requests a combined TikTok Shop market study rather than one narrow extraction. For a single outcome, prefer the specialized NexaScout Actor. This keeps agent selection predictable and avoids unnecessarily expensive FULL reports.

Local verification

Run npm ci, npm test, apify validate-schema, and apify push. Node.js 22 or newer is recommended and used by the Apify image.