Google Trends Scraper

Google Trends data as clean JSON: interest over time, interest by region and related queries (top and rising) for any keyword, country and time range. It calls the same JSON endpoints the Trends site uses, with no browser, so runs are fast and cheap. Each keyword is retried on a fresh residential IP if Google rate-limits it.

What you get

One record per keyword:

• interestOverTime: the 0-100 series with one point per day, week or month depending on the range.
• interestByRegion: every country or sub-region with data, scored 0-100.
• relatedQueries: top and rising lists. Rising queries with a huge jump are labelled Breakout.

Input

Field	Type	Description
keywords	string[]	Terms to look up. Each one is queried on its own, so every series is scaled 0-100 by itself.
geo	string	Country or sub-region code (US, GB, AR, US-CA). Empty = worldwide.
timeRange	string	now 1-H, now 4-H, now 1-d, now 7-d, today 1-m, today 3-m, today 12-m (default), today 5-y or all.
property	string	Empty = web search, or images, news, youtube, froogle (Shopping).
category	integer	Google Trends category id. 0 = all (default).
language	string	Labels language, for example en-US (default) or es-AR.

Example:

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

Output

Real excerpt from a run with keywords: ["bitcoin"], geo: "US", timeRange: "today 12-m" (lists shortened here):

{
  "keyword": "bitcoin",
  "geo": "US",
  "timeRange": "today 12-m",
  "interestOverTime": [
    { "date": "2025-10-05", "label": "Oct 5 – 11, 2025", "value": 38, "hasData": true, "isPartial": false },
    { "date": "2025-10-12", "label": "Oct 12 – 18, 2025", "value": 39, "hasData": true, "isPartial": false }
  ],
  "interestByRegion": [
    { "geoCode": "US-WY", "geoName": "Wyoming", "value": 100 },
    { "geoCode": "US-NV", "geoName": "Nevada", "value": 49 }
  ],
  "relatedQueries": {
    "top": [{ "query": "bitcoin price", "value": 100, "label": "100" }],
    "rising": [{ "query": "spcx stock", "value": 14150, "label": "Breakout" }]
  }
}

isPartial is true for the last, still-open period.

Notes

• Pricing is per keyword with data. A keyword Google has no data for (very rare terms) returns nothing and is not charged. Keywords that fail after 5 attempts are not charged either.
• Values are Google's relative popularity index (0-100), not search volumes.
• Related topics are not included: Google returns them empty for plain search terms.
• Only data that Google Trends shows publicly is collected.

Pricing

Pay per event: USD 0.003 per keyword with data (USD 3 per 1,000 keywords). The default input (2 keywords) costs about USD 0.006. Apify platform usage is included in the price, you only pay for delivered keywords.

Use cases

• Keyword and SEO research: compare seasonality and rising queries before writing content.
• Market and product research: track interest by country or region over time.
• Trend monitoring: schedule the actor daily or weekly and send results to Google Sheets, a database or a webhook.
• Data for dashboards and reports: export the series as JSON, CSV or Excel.

FAQ

Do I need a Google account, API key or proxy? No. Everything runs on Apify, you only provide keywords.

Is this a pytrends alternative? Yes, it returns the same kinds of data without you maintaining code or dealing with 429 errors.

How many keywords per run? There is no fixed limit. Each keyword is its own request, so very large lists simply take longer.

Can I call it from my own code? Yes, through the Apify API or the official Python and JavaScript clients, and with integrations such as Make, Zapier or n8n.