Google Trends Scraper: Interest Over Time, Regions & Related Queries

Get Google Trends data for any list of keywords in one run, with one clean row per keyword:

• Interest over time: the 0-100 time series, plus the average interest and the peak date
• Interest by region: countries, states/regions, cities or US metro areas (DMA)
• Related queries: top and rising (incl. "Breakout"), with links
• Related topics: top and rising (Google sometimes returns none)
• Compare mode: put up to 5 terms on one relative scale, exactly like on trends.google.com
• Any location (worldwide, a country like US, or a state like US-NH), any time range (past hour to 2004-present, or custom dates), any category, and Web, Image, News, Shopping or YouTube search

Google Trends rate-limits aggressive clients. This Actor paces its requests, warms up a fresh cookie session when Google pushes back, and backs off exponentially, so runs finish instead of failing with 429 errors.

You only pay for terms that returned trend data. Terms with too little search volume and failed requests get a free row with the reason.

Use cases

• Keyword and content research, seasonality planning, and SEO
• Product and market research (what's rising, where demand is)
• Comparing brands, products or candidates over time
• Feeding trend signals to dashboards, spreadsheets or AI agents (via the Apify MCP server)

Input example

{
  "searchTerms": ["web scraping", "electric bike"],
  "geo": "US",
  "timeRange": "today 12-m",
  "includeInterestByRegion": true,
  "includeRelatedQueries": true
}

Output example (shortened)

{
  "searchTerm": "pizza",
  "geo": "US",
  "timeRange": "today 12-m",
  "status": "OK",
  "averageInterest": 27.54,
  "peakDate": "2026-06-14",
  "interestOverTime": [{ "date": "2025-10-19", "formattedTime": "Oct 19 – 25, 2025", "value": 22, "isPartial": false }],
  "regionResolution": "REGION",
  "interestByRegion": [{ "geoCode": "US-PA", "geoName": "Pennsylvania", "value": 100 }, { "geoCode": "US-RI", "geoName": "Rhode Island", "value": 97 }],
  "relatedQueries": {
    "top": [{ "query": "pizza near me", "value": 100, "formattedValue": "100" }],
    "rising": [{ "query": "how to make pizza dough at home", "value": 2400, "formattedValue": "+2,400%" }]
  },
  "relatedTopics": { "top": [], "rising": [] },
  "charged": true
}

In compare mode, each time point and region has one column per term, and related holds related queries/topics per term.

Pricing (pay per event)

You pay per search term with trend data (or per comparison of up to 5 terms), with all the sections you selected included:

Apify plan	Price per 1,000 terms
Free	$4.00
Bronze (Starter)	$3.50
Silver (Scale)	$3.00
Gold (Business)	$2.50

Platform usage is included. Each run also has Apify's standard start fee of $0.00005 per GB of memory. Optional Apify datacenter proxy (or your own proxy URLs) is included in the price; residential proxy isn't supported. Set Max total charge to cap your spend; the run stops cleanly when it's reached.

Tips

• Values are relative (0-100) within each request, as on Google Trends. Use compare mode to compare terms on the same scale.
• Speed: about 5-7 seconds per term by default (Google's limits). Lowering the request delay is faster but triggers more rate limits.
• Location codes: US, GB, DE, US-CA, US-NH, GB-SCT. Leave empty for worldwide.

Notes

Data comes from Google Trends' public endpoints. Google samples and normalizes this data, so values can differ slightly between runs, just like on the website.