Google Trends Scraper — Interest & Related Queries avatar

Google Trends Scraper — Interest & Related Queries

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from $0.001 / keyword scraped

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Google Trends Scraper — Interest & Related Queries

Google Trends Scraper — Interest & Related Queries

Scrape Google Trends for any keyword: interest over time, related and rising queries, and interest by region. Per country and timeframe. For SEO, market and trend research. No key.

Pricing

from $0.001 / keyword scraped

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Developer

hiper soft

hiper soft

Maintained by Community

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1

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a day ago

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Google Trends Scraper — interest over time, related & rising queries, interest by region, no API key

Get the full Google Trends picture for any keyword in clean, structured JSON: interest over time, top related and fastest-rising queries, and interest broken down by region. This Actor replays a warmed session over a residential proxy so Google Trends returns real data instead of rate-limit errors. No account, no API key. Built for SEO, market research, and trend-spotting teams.

Features

  • 📈 Interest over time — a full interestOverTime timeline of date, timestamp, and normalized value (0–100) points for your timeframe.
  • 🔗 Related & rising queries — with includeRelatedQueries, get relatedQueries (top) and risingQueries (breakout) lists with their scores.
  • 🗺️ Interest by region — with includeInterestByRegion, get an interestByRegion breakdown of location and value.
  • ⏱️ Flexible timeframestimeframe from past_hour all the way to since_2004.
  • 🌍 Geo targeting — set geo to a country code (e.g. US, GB, DE) or WORLDWIDE.
  • 📊 Computed summary — each row adds averageInterest and peakInterest derived from the timeline.
  • 🛡️ Warmed residential session — beats Trends' cold-IP 429s so runs return data reliably.

What you get

Each row is one keyword's full trends report:

{
"keyword": "bitcoin",
"geo": "US",
"timeframe": "past_12_months",
"interestOverTime": [
{ "date": "Jul 2025", "timestamp": "1751328000", "value": 62 }
],
"relatedQueries": [ { "query": "bitcoin price", "value": 100 } ],
"risingQueries": [ { "query": "bitcoin etf", "value": 4900, "formattedValue": "Breakout" } ],
"interestByRegion": [ { "location": "California", "value": 78 } ],
"averageInterest": 55,
"peakInterest": 100
}

Input

{
"keywords": ["bitcoin", "electric cars"],
"geo": "US",
"timeframe": "past_12_months",
"includeRelatedQueries": true,
"includeInterestByRegion": true
}
FieldDescription
keywordsSearch terms to get trends for; each is scraped separately (required).
geoTwo-letter country code (e.g. US, GB, DE) or WORLDWIDE. Default US.
timeframeTime range: past_hoursince_2004. Default past_12_months.
includeRelatedQueriesAlso fetch top related and fastest-rising queries. Default true.
includeInterestByRegionAlso fetch interest by region / sub-region. Default true.
proxyConfigurationProxy settings; residential is required (Trends rate-limits datacenter IPs).

Use cases

  • Spot rising and breakout topics before they peak.
  • Compare seasonal demand across keywords and timeframes.
  • Find related search terms to expand keyword and content strategy.
  • Map regional interest for geo-targeted campaigns.

Pricing

Pay-per-event: you're billed a small amount per run and per item scraped — you only pay for what you get. See the Pricing tab for current rates.

Notes

This Actor uses Google Trends' public endpoints and returns only publicly available, normalized trend data. It is an independent tool and is not affiliated with, endorsed by, or sponsored by Google; Google Trends is a trademark of its respective owner.