Pricing

Pay per usage

Google Trends Scraper — Interest Over Time & Related Queries

Structured Google Trends data per keyword: interest over time and related queries (top + rising), as clean LLM-ready JSON. No official API needed.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Boris Radevic

Actor stats

Bookmarked

Total users

Monthly active users

4 hours ago

Last modified

What you get per keyword

{
    "keyword": "bitcoin",
    "geo": "worldwide",
    "timeRange": "today 12-m",
    "latestValue": 62,
    "averageValue": 55.3,
    "peakDate": "Jan 2026",
    "interestOverTime": [
        { "date": "Aug 2025", "timestamp": 1756600000, "value": 48 }
    ],
    "relatedQueries": {
        "top": [{ "query": "bitcoin price", "value": 100 }],
        "rising": [{ "query": "bitcoin etf 2026", "change": "+350%" }]
    },
    "topRelatedQuery": "bitcoin price",
    "risingRelatedQuery": "bitcoin etf 2026",
    "fetchedAt": "2026-08-23T21:30:00.000Z"
}

Ready-made summary fields (latestValue, averageValue, peakDate) mean you often don't need to touch the raw series at all.

Input

{
    "keywords": ["bitcoin", "ethereum"],
    "geo": "US",
    "timeRange": "today 12-m",
    "includeInterestOverTime": true,
    "includeRelatedQueries": true
}

geo: two-letter country code (US, DE, RS…), subregion (US-CA), or empty for worldwide.
timeRange: past day / 7 days / month / 3 months / 12 months / 5 years / all.
Values are Google's relative 0–100 scale within the chosen range and region.

Typical uses

SEO/content planning: which of your candidate topics is trending up, what's rising around them
Market research: seasonality and regional interest before a launch
AI agents: a clean numeric feed for trend-aware automations

Honest notes

Google rate-limits aggressively; the actor rotates proxy sessions and retries with backoff. Failed keywords are listed in the run summary — a run where every keyword failed exits as FAILED, loudly, instead of pretending success.
Data is Google's sampled, relative index — treat it as a signal, not ground truth.

Transparency: built and maintained with AI assistance on a human-owned account. Collects only publicly available, aggregate (non-personal) data. Part of the rdvc toolset.

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