Google Trends Scraper — Interest, Regions, Related Queries
Pricing
from $2.00 / 1,000 keyword results
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
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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