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Google Trends Scraper — Interest, Regions, Related Queries

Pricing

from $2.00 / 1,000 keyword results

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Google Trends Scraper — Interest, Regions, Related Queries

Google Trends Scraper — Interest, Regions, Related Queries

Extract Google Trends data reliably: interest over time, interest by region, related queries and rising topics for any keyword, geo and time range. One clean JSON item per keyword — predictable pricing, built-in retry and proxy rotation.

Pricing

from $2.00 / 1,000 keyword results

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Developer

James Cook

James Cook

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Extract Google Trends data reliably for any keyword — interest over time, interest by region, and related queries/topics (top and rising) — as one clean JSON item per keyword. Built-in session rotation and automatic escalation to residential proxies on rate-limiting mean predictable, low-failure runs.

What it does

  • Interest over time (daily/weekly index, 0–100 scale) with computed average and peak
  • Interest by region (city/subregion breakdown, filtered to regions with real data)
  • Related queries and related topics, split into top and rising
  • Any geography (worldwide, country, or region code like GB-ENG) and time range (past hour to 2004–present)
  • Optional narrowing by Trends category or search surface (Web, Image, News, YouTube, Shopping)
  • Each part (timeseries / region / related) can be switched off independently to keep runs fast and cheap

Output example

{
"keyword": "heat pump",
"geo": "GB",
"timeRange": "today 12-m",
"averageInterest": 66.9,
"peakDate": "2026-01-14",
"peakValue": 100,
"interestOverTime": [
{ "date": "2026-01-01", "formatted": "Jan 1", "value": 42 }
],
"interestByRegion": [
{ "region": "England", "code": "GB-ENG", "value": 80 }
],
"relatedQueries": {
"top": [{ "term": "heat pump grant", "value": 100, "formattedValue": "100" }],
"rising": [{ "term": "heat pump cost", "value": 250, "formattedValue": "Breakout" }]
},
"risingQueriesCount": 12,
"topQueriesCount": 25
}

Typical uses

  • Market research — track demand for products, topics or brands over time and by region
  • SEO and content planning — find rising related queries before competitors do
  • Trend monitoring — compare multiple keywords' trajectories across geographies
  • AI pipelines — feed structured trend data into forecasting, reporting, or agent workflows

Notes

  • One dataset item per keyword — batch as many keywords as you like in a single run
  • Automatic proxy escalation: starts on standard proxies, switches to residential automatically if Google starts rate-limiting, so most runs need no manual proxy configuration
  • Only publicly available Google Trends data is collected