Google Trends Scraper & API: Interest, Regions, Trending Now avatar

Google Trends Scraper & API: Interest, Regions, Trending Now

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from $0.30 / 1,000 search term results

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Google Trends Scraper & API: Interest, Regions, Trending Now

Google Trends Scraper & API: Interest, Regions, Trending Now

Google Trends API and scraper: export search trends to CSV, Excel or JSON. Interest over time since 2004, by country, state or city, rising related searches, YouTube and Shopping trends, and today's trending searches with search volume and news. Compare up to 5 keywords.

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from $0.30 / 1,000 search term results

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VeroAPIs

VeroAPIs

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2 days ago

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Get Google Trends data for any keyword, ready to download as CSV, Excel or JSON, or to pull into your own app as a Google Trends API. See how search interest changes over time, where a keyword is most popular, and which related searches are rising. Compare up to 5 keywords on one scale, in any country, time range, category or search type: Web, YouTube, Google Shopping, News or Images.

Or get Google's full Trending Now list: every search spiking in a country today, with its search volume, growth and the news stories behind it.

What you can do

  • Track search trends over time for any keyword, from the past hour to every month since 2004.
  • See what's trending on Google today: hundreds of trending searches in any country, from the past 4 hours to 7 days, with search volume, growth, related terms, category and top news stories.
  • Compare up to 5 keywords on the same 0–100 scale: coffee, tea, matcha.
  • See where a keyword is most popular by country, state or province, city, or US metro area.
  • Find trending keywords: the top 25 related searches, plus the fastest-rising ones and breakouts.
  • Track YouTube trends and product trends: measure searches on YouTube, Google Shopping, Google News or Image search instead of the web.
  • Go back to 2004 for historical Google Trends data and seasonal patterns.
  • Paste Google Trends links straight from your browser. Each link keeps its own settings.
  • Schedule it: run daily or weekly and watch every keyword over time.

Who uses it

  • SEO and content teams: find rising keywords before they peak, and plan content around seasonal trends.
  • Marketers and brands: compare your brand with competitors, and see which regions care most.
  • Ecommerce and product teams: spot product trends on Google Shopping and time launches and stock to demand.
  • YouTubers and creators: see which topics are growing on YouTube search.
  • Analysts and developers: feed Google Trends data into dashboards, spreadsheets, models or AI agents, with no pytrends scripts to maintain.

How to use it

  1. Add your search terms, one per line. Put up to 5 terms on one line, separated by commas, to compare them.
  2. Pick a country, time range, category and search type, or keep the defaults (worldwide, past 12 months).
  3. Click Start.
  4. Download your results as JSON, CSV, or Excel, or browse them in the Output tab: overview, interest over time, interest by region, rising searches, top searches and trending now.

For what's trending, set What to get to Trending now, pick the country under Trending in (United States by default) and click Start. Narrow it by time window or category, or keep only searches that are still spiking.

What you get

One result per search term. Compared terms each get their own result, on the shared scale.

{
"searchTerm": "sunscreen",
"comparedWith": [],
"geo": "US",
"timeRange": "today 5-y",
"category": 0,
"searchType": "web",
"trendsUrl": "https://trends.google.com/trends/explore?q=sunscreen&date=today+5-y&geo=US",
"averageInterest": 26,
"interestOverTime": [
{ "time": "2026-10-11T00:00:00.000Z", "formattedTime": "Oct 11 – 17, 2026", "value": 16, "isPartial": false },
{ "time": "2026-10-18T00:00:00.000Z", "formattedTime": "Oct 18 – 24, 2026", "value": 15, "isPartial": true }
],
"interestByRegion": [
{ "geoCode": "US-WY", "geoName": "Wyoming", "value": 100, "lat": null, "lng": null },
{ "geoCode": "US-HI", "geoName": "Hawaii", "value": 83, "lat": null, "lng": null }
],
"relatedQueriesTop": [
{ "query": "best sunscreen", "value": 100, "formattedValue": "100", "link": "https://trends.google.com/trends/explore?q=best+sunscreen&date=today+5-y&geo=US" }
],
"relatedQueriesRising": [
{ "query": "joseon sunscreen", "value": 63750, "formattedValue": "Breakout", "link": "https://trends.google.com/trends/explore?q=joseon+sunscreen&date=today+5-y&geo=US" }
]
}

Trending now gives one result per trending search:

{
"searchTerm": "texas a&m vs alabama",
"geo": "US",
"trendsUrl": "https://trends.google.com/trending?geo=US&hours=24&q=texas+a%26m+vs+alabama",
"searchVolume": 200000,
"searchVolumeIncrease": 1000,
"trendingSince": "2026-10-24T18:00:00.000Z",
"trendingUntil": null,
"isActive": true,
"categories": ["Sports"],
"relatedTerms": ["texas a&m vs alabama", "alabama vs texas a&m", "alabama game today"],
"newsArticles": [
{ "title": "Texas A&M vs. #13 Alabama", "url": "https://www.espn.com/watch/player/_/eventCalendarId/401856727", "source": "ESPN", "publishedAt": "2026-10-24T20:58:47.000Z", "imageUrl": "https://encrypted-tbn2.gstatic.com/images?q=tbn:ANd9GcQFtVyymGBKwYptAaHIf_2QHcWkyLhXscj-rFzHESwhWfLhxr0BlYFFX7b8RBU" }
]
}

Call it from your own code and get Google Trends data back as JSON. In Python, with the Apify client (pip install apify-client):

from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("vero-api/google-trends-scraper").call(run_input={
"searchTerms": ["coffee, tea, matcha"],
"geo": "US",
"timeRange": "today 5-y",
})
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item["searchTerm"], item["averageInterest"])

For today's trending searches, send {"mode": "trending", "trendingCountry": "US"} instead. The same works from JavaScript, any HTTP client, Make, n8n or Zapier. Your token is under Settings → API & Integrations in Apify Console.

Export flat tables: one row per data point

Every table in the Output tab is also a flat download, ready for spreadsheets, BI tools and AI pipelines. For a CSV with one row per period and search term:

https://api.apify.com/v2/datasets/<DATASET_ID>/items?view=interestOverTime&format=csv&token=<YOUR_APIFY_TOKEN>

Swap interestOverTime for interestByRegion (one row per place), topSearches or risingSearches (one row per related search). Use format=xlsx for Excel or format=json for JSON.

Use it from your AI assistant (MCP)

Ask Claude, Cursor, VS Code, or any assistant that supports MCP about search trends in plain words. Add this server to its MCP settings:

{
"mcpServers": {
"google-trends-scraper": {
"url": "https://mcp.apify.com?tools=vero-api/google-trends-scraper"
}
}
}

Then just ask, for example:

  • "Is matcha growing faster than coffee in the UK this year?"
  • "Which rising searches around running shoes should I write about?"
  • "What's trending in Germany right now, and why?"

Pricing

You pay only for the results you get: one result per search term, with its full timeline, regions and related searches included, or one result per trending search, with its news included. A term Google has no data for costs nothing.

  • Search terms: $2 per 1,000 on the free plan, down to $0.30 per 1,000 on higher Apify plans.
  • Trending searches: $1 per 1,000 on the free plan, down to $0.50 per 1,000.

Set a spending limit on any run and it stops right there, with every result you paid for in the dataset.

FAQ

Do I need a Google account or API key? No. Just add your search terms.

Is this a pytrends alternative? Yes. You get the same Google Trends data as pytrends, plus Google's Trending Now list, with nothing to install or keep working. Call it from Python as shown above.

Can I export Google Trends data to CSV or Excel? Yes. Every run downloads as CSV, Excel, JSON or XML, and the Output tab has ready-made tables for interest over time, interest by region, rising searches, top searches and trending searches.

What do the numbers mean? The same thing they mean on Google Trends: 100 is the peak of interest in the chosen period and place, 50 is half as popular, and 0 means too few searches to score.

Why compare terms on one line instead of searching them separately? Terms searched separately each get their own 0–100 scale. Terms compared on one line share a scale, so you can see which one people search for more.

Can I pick a state or metro area instead of a whole country? Yes. Open the chart on Google Trends with the state or metro area you want, then paste its link as a search term.

Which countries have metro areas? Google Trends groups the United States into metro areas and France into departments. For any other country, pick Countries or states or Cities under Region detail.

How many trending searches will I get? It depends on the country and time window: about 600 for the United States over 24 hours, and over 3,000 over 7 days. Set Max trending searches to get only the first ones.

How fresh is the data? It's live: the same numbers Google Trends shows at the moment of your run.

Is this an official Google tool? No. Google Trends Scraper is an independent tool. It is not affiliated with, endorsed by, or sponsored by Google. It reads the same public data anyone can see on Google Trends.

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