Google Trends Scraper: Interest, Regions and Related

Export Google Trends data for any search term or pasted Google Trends URL: interest over time, interest by region, related queries and related topics (top and rising), for any country, time range, category and Google property (Web, Images, News, Shopping, YouTube). You get flat rows ready for CSV, Excel, Google Sheets or your own code.

One example row from a real run, shortened:

{
  "id": "c8eff4ce4b9fa3fa",
  "recordType": "interestOverTime",
  "searchTerm": "coffee",
  "comparedTerms": "coffee, tea",
  "country": "US",
  "location": "United States",
  "language": "en",
  "searchType": "web",
  "categoryId": 0,
  "timeRange": "past12Months",
  "periodStart": null,
  "periodEnd": null,
  "queryIndex": 1,
  "sourceUrl": null,
  "scrapedAt": "2026-09-28T09:00:47.505Z",
  "dataUpdatedAt": "2026-09-26T15:24:02.000Z",
  "date": "2025-09-21",
  "dateTo": "2025-09-27",
  "timestamp": "2025-09-21T00:00:00.000Z",
  "value": 100,
  "periodAverage": 92,
  "isPartial": false
}

Each row has a recordType that tells you which Google Trends panel it comes from.

All output fields:

You pay per event, through your Apify account. Main price: $15.00 per 1,000 queries on the Apify Free plan and $6.00 on Gold. Every event and plan:

Every run is one HTTP request to the Apify API with your Apify token; the input below is the actor's own example. The synchronous endpoint returns the rows in the response for runs up to 300 seconds; for longer runs start a run and fetch its dataset.

curl -X POST "https://api.apify.com/v2/acts/cheapapi~google-trends-scraper-pro/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \
  -d '{"searchTerms":["coffee","tea"],"country":"US","timeRange":"past12Months","searchType":"web"}'

With the JavaScript client:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('cheapapi/google-trends-scraper-pro').call({
  "searchTerms": [
    "coffee",
    "tea"
  ],
  "country": "US",
  "timeRange": "past12Months",
  "searchType": "web"
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Typical run: 100 search terms, all 4 panels (terms compared in groups of 5 here = 20 queries).

Prices and user counts from public Apify Store listings, checked September 2026. "At least" assumes only one result per term. The other Actors charge per result (row), and one term with all 4 panels usually returns far more than one row: a 12-month weekly timeline alone is about 53 rows per term, plus regions and related lists. With just 10 rows per term, the four alternatives would cost at least $3.00 + platform usage, $2.02, $25.03 and $5.00 + platform usage on Free.

Where we are not cheaper. The most used Actor is cheaper whenever a term returns only a few rows: on Gold below 4 rows per term ($0.0003 × 4 = $0.0012, our Gold price per term in groups of 5), on Platinum below 8 rows and on Diamond below 12 rows. That happens if you only need, say, a short regional list or a few related queries; with a full timeline it does not. On Free, one row per term costs the same as our per term price. The fast alternative can also be cheaper for very small runs and offers "Trending now", which this Actor does not. If you turn off Compare terms against each other, each term is its own query and this Actor costs 5× more ($1.50 on Free, $0.60 on Gold for 100 terms). This Actor's price never depends on the number of rows.

• Content and SEO planning: find rising related queries and "Breakout" topics before they peak.
• Product and market research: compare brands, products or features across countries and Google Shopping.
• Seasonality analysis: pull 5-year or since-2004 timelines to plan campaigns, stock and budgets.
• Regional targeting: see which states or countries show the most interest to focus ads and sales.
• Dashboards and monitoring: schedule weekly runs and feed Google Sheets, BI tools or a data warehouse.
• Research and journalism: reproduce a Google Trends chart you found by pasting its URL, and get the numbers behind it.

• "Trending now" / daily trending searches. This Actor covers the Google Trends Explore view (interest over time, by region, related queries and topics).
• Absolute search volumes. Google Trends only publishes relative 0 to 100 values. For monthly search volumes, CPC and keyword ideas use Keyword Research Tool.
• Google search results and rankings. Use Google SERP Scraper.
• YouTube video search results. The youtube property gives YouTube search interest; for the videos themselves use YouTube Search Scraper.
• Topic IDs as input (e.g. /m/02vqfm). Type the topic name as a search term instead.

• Google Trends data is relative (0 to 100) and sampled. Small terms often return no data, and repeated runs can differ slightly. That is how Google Trends works.
• Related queries and topics are often empty for short time ranges (past hour/day) or low volume terms.
• Regional, related query and related topic data is available for Web searches. For News searches it is not available (confirmed in live tests): those queries return interest over time only (still one query charge), the log says so and RUN_SUMMARY.panelsUnavailableFor lists the property. For Image, Shopping and YouTube searches all 4 panels are requested, but this has not been verified in live tests; if Google Trends rejects the extra panels for a property, the Actor detects it during the run and falls back to interest over time for that property in the same way. Web queries in the same run are not affected.
• Pasted URLs: a sub region geo (e.g. US-NY) falls back to the country, topic IDs are skipped, and only the first 5 terms are used.
• Bulk mode (all runs on Bronze and higher plans, large runs on Free) can take several minutes, up to about 45 minutes at peak times.
• "Trending now" / daily trending searches are out of scope (see Not included). This Actor covers the Google Trends Explore view.