TikTok Trend Monitor

TikTok Trend Monitor helps you find emerging TikTok-related topics before they become obvious. The Actor returns normalized stories, canonical URLs, source domains, dates, snippets, geography, tone, duplicate clusters, momentum scores, and trend-status changes; configure queries and lookback windows afterward.

Outcome

Track emerging TikTok topics, creators, hashtags, and platform developments through a legally reusable global news and web-coverage signal instead of scraping TikTok itself.

Use cases

• Use the Actor when you need track emerging TikTok topics, creators, hashtags, and platform developments through a legally reusable global news and web-coverage signal instead of scraping TikTok itself.
• Build workflows around transforms GDELT's open news and web-coverage feed into a repeatable TikTok trend-intelligence workflow with query normalization, duplicate-story clustering, source quality scoring, geographic aggregation, momentum comparisons, historical snapshots, and alert-ready change detection.
• Designed for Social media agencies, creator-economy researchers, brand strategists, PR teams, and trend analysts.
• Schedule repeat runs: Run daily or weekly monitoring jobs to detect new coverage, rising topics, geographic expansion, competitor mentions, and changes from the previous period.
• Feed normalized dataset records into APIs, spreadsheets, databases, automations, or AI/agent workflows.

Quick start

1. Open the Actor input form.
2. Set the filters or query relevant to your workflow.
3. Start with a small maxResults value.
4. Run the Actor and inspect the default dataset before scheduling larger or recurring jobs.

Example input:

{
  "query": "TikTok creator economy",
  "maxResults": 10
}

Inputs

• query (string, required) — Topic, phrase, hashtag, creator name, brand, product category, or TikTok-related development to monitor.
• country (string, optional) — Optional country or region phrase used to narrow coverage. This field is retained for workflow compatibility; country filtering may require query terms.
• days (integer, optional) — Lookback window for recent coverage, recommended range 1-90. Historical comparison is performed by downstream monitoring workflows.
• maxResults (integer, required) — Maximum number of GDELT articles requested and normalized per page.
• sort (string, optional) — Preferred ranking such as relevance or date. GDELT ranking behavior is controlled by the source endpoint.
• includeRelated (boolean, optional) — Whether related TikTok, creator-economy, short-video, and social-commerce terms should be included by a downstream query-normalization workflow.

Output example

The example below is taken from the latest validated local live-source sample when available; otherwise it is derived from the bundled dataset schema.

{
  "id": "https://portal.sina.com.hk/finance/finance-mediaoutreachnewswire/media-outreach/2026/06/25/1834287/ogilvy-launches-first-of-its-kind-live-commerce-competition-in-singapore-to-champion-the-future-of-creator-commerce/",
  "title": "Ogilvy launches first - of - its - kind live Commerce Competition in Singapore to Champion the Future of Creator Commerce",
  "url": "https://portal.sina.com.hk/finance/finance-mediaoutreachnewswire/media-outreach/2026/06/25/1834287/ogilvy-launches-first-of-its-kind-live-commerce-competition-in-singapore-to-champion-the-future-of-creator-commerce/",
  "source_domain": "portal.sina.com.hk",
  "published_at": "20260625T103000Z",
  "seendate": "20260625T103000Z",
  "language": "English",
  "country": "Hong Kong",
  "snippet": "Ogilvy launches first - of - its - kind live Commerce Competition in Singapore to Champion the Future of Creator Commerce",
  "domain_rank": null,
  "tone": null,
  "query_match": "Ogilvy launches first - of - its - kind live Commerce Competition in Singapore to Champion the Future of Creator Commerce",
  "cluster_id": "https://portal.sina.com.hk/finance/finance-mediaoutreachnewswire/media-outreach/2026/06/25/1834287/ogilvy-launches-first-of-its-kind-live-commerce-competition-in-singapore-to-champion-the-future-of-creator-commerce/",
  "momentum_score": null,
  "trend_status": "insufficient-history",
  "attribution": "Data provided by the GDELT Project: https://www.gdeltproject.org/"
}

Pricing

Store pricing is configured in Apify. The intended primary paid unit is normalized trend-intelligence result. Start with a small result limit while validating your workflow, then scale only when the output and economics fit your use case. The README never hard-codes a price that could drift from the live Store configuration.

Source and limitations

• Source: GDELT DOC 2.0 API.
• Licence/terms: GDELT Project unlimited and unrestricted commercial-use terms.
• Reuse condition: GDELT datasets may be used, redistributed, rehosted, republished, and mirrored for commercial purposes, but every use or redistribution must cite the GDELT Project and link to https://www.gdeltproject.org/. Article text, publisher copyrights, images, logos, trademarks, and linked-page content remain subject to their respective owners' rights. The Actor should return metadata, snippets, URLs, and derived scores rather than republishing full articles or media. This is not a TikTok-authorized product and must not imply TikTok endorsement. GDELT Cloud is not used because its current terms prohibit third-party redistribution without a separate written license.
• Automation condition: Use the documented HTTP API, respect API availability and reasonable request rates, use bounded date windows and pagination, categorize HTTP and malformed-response errors, and avoid high-volume parallelization. The endpoint supports JSON output and does not require an account key.
• This is an indirect TikTok intelligence product: it measures public news and web coverage, not TikTok-native post, profile, comment, view, or hashtag data.
• Coverage is biased toward publishers indexed by GDELT and may miss fast-moving TikTok-native trends before journalists or websites mention them.
• Article titles, snippets, images, full text, trademarks, and publisher metadata may have separate copyright or database-right restrictions; the Actor should minimize returned copyrighted material and avoid media redistribution.
• GDELT attribution is required in every redistribution or commercial output.
• GDELT API availability, rate limits, response fields, and rolling coverage windows may change.

This Actor does not bypass authentication, rate limits, robots/API policies, licensing conditions, or upstream access controls. Missing upstream values are not invented.

FAQ

Does this use the approved source contract?
Yes. Runtime requests are restricted to the source contract validated by Market Hunter before build.

Can I schedule repeat runs?
Yes, when the source permits automated access. Use conservative schedules and result limits that respect upstream conditions.

Why can some fields be empty or null?
The upstream source may omit fields for particular records. The Actor preserves missing values rather than fabricating data.

Troubleshooting

• If a narrow query returns no rows, loosen filters and retry with a small result limit.
• If the upstream source returns a rate-limit or temporary server error, retry later instead of increasing request pressure.
• If authentication or source identity is required, verify the protected credential/identity configured for the Actor.
• If the upstream response schema changes, report the failed run so the deterministic mapping can be updated.

Related Actors

• creator-economy-news-monitor
• social-commerce-trend-monitor
• brand-mention-change-detector
• short-video-market-intelligence

Store publication remains an explicit manual action. This product is not affiliated with or endorsed by the upstream source unless the Store listing explicitly states otherwise.