Google Trends Scraper: Interest, Regions, Queries & Trending

What does Google Trends Scraper do?

Google Trends Scraper gets Google Trends data as clean JSON, CSV or Excel: interest over time, interest by region (country, state, metro area or city), related queries (top and rising) and the trending searches of the day by country. Use it as a Google Trends API for any search term, location, time range, category and search type (web, images, news, YouTube or Google Shopping), with no Google account and no API key.

It reads the same numbers trends.google.com shows a visitor in a browser, over plain HTTP, so a typical run with a few terms finishes in seconds.

Why use this Google Trends scraper?

• Built to finish. Google Trends rate-limits scrapers quickly. This Actor paces its requests, keeps Google's cookies per connection, and when Google slows it down it moves to fresh Apify Proxy datacenter IPs, then to residential IPs if Google refuses those too, and backs off with jitter instead of failing. In our test runs every request group completed and 97.7% of requests went through on the first try.
• Compare any number of terms on one scale. Google compares at most 5 terms at once. With more, the Actor repeats your first term in every group of 5 as an anchor and adds a commonScaleValue to each point, so 20 brands end up on one 0 to 100 scale.
• Region tables down to cities and US metro areas, highest first, with coordinates for cities.
• Trending searches by country (past 4, 24 or 48 hours or 7 days) with search volume, growth, start time, category, the related queries Google groups under each trend and, optionally, news articles.
• Spreadsheet-ready. Each result is one tidy item, and the Timeline rows and Region rows views give you one row per date or region for Excel, Google Sheets or BI tools.
• Paste Google Trends URLs. Copy an explore link from your browser and the Actor runs exactly that view.
• Pay only for data. Terms Google has no data for are not charged.

Typical uses: SEO and content planning, seasonality analysis, brand and competitor tracking, market research, product demand checks, newsroom trend alerts and data feeds for dashboards and AI agents. On Apify you can schedule runs, call the Actor through the API, and send results to Google Sheets, Slack or your database.

What data can you get from Google Trends?

Field	Description
type	interestOverTime, interestByRegion, relatedQueries, relatedTopics or trendingSearch
searchTerm	The term (or the trending search)
comparedWith	The other terms in the same comparison
geo, timeRange, category, property	Your filters, echoed back (geo is null for worldwide)
timeline	Interest over time: date (ISO 8601, UTC), value (0 to 100), isPartial, hasData
averageValue	Average interest over the period, for compared terms
regions	Interest by region: geoCode, geoName, value, plus latitude and longitude for cities
top, rising	Related queries: query, value, formattedValue (such as +250% or Breakout), link
searchVolume, increasePercent	Trending searches: approximate searches (200K+) and growth
startedAt, isActive, categories	Trending searches: when the trend started, whether it is still active, its categories
trendBreakdown, newsArticles	Trending searches: related queries and up to 3 news articles
trendsUrl	The same view on trends.google.com
scrapedAt	When the data was fetched

How to scrape Google Trends

1. Open the Actor and keep What to scrape on Search terms.
2. Type your search terms, one per line, or paste Google Trends URLs.
3. Pick the location (worldwide, a country, a region such as US-CA, or a US metro area), the time range (from the past hour to everything since 2004, or custom dates), and optionally a category and search type.
4. Tick what to fetch: interest over time, interest by region, related queries.
5. Tick Compare terms on one scale if the terms should share one chart.
6. Click Start. Download the results as JSON, CSV, Excel or HTML, or read them through the API.

For trending searches, set What to scrape to Trending now, list the countries (US, GB, IN...) and choose the time window.

How much does it cost to scrape Google Trends?

The Actor uses pay per event pricing, so you pay for results, not for server time:

• Trend result: $1.00 per 1,000 results. One result is one term's timeline, or its region table, or its related queries list.
• Trending search: $0.80 per 1,000 trending searches, news articles included.

Example: 1,000 search terms with interest over time cost about $1.00. The same terms with interest by region and related queries as well are 3,000 results, about $3.00. Pulling the top 100 trending searches in 5 countries costs about $0.40. Each run also has a start fee of $0.005 (half a cent). Apify's free plan includes $5 of monthly credit, enough for about 5,000 results a month. You can set a maximum cost per run in the run options; the Actor stops cleanly when it reaches it, and results Google has no data for are free.

Paid Apify plans pay less automatically: trend results cost $0.40 per 1,000 on Starter, $0.30 on Scale and $0.25 on Business, and trending searches $0.50, $0.40 and $0.25.

Input

See the Input tab for every option. A typical input:

{
    "searchTerms": ["sourdough", "matcha", "pickleball"],
    "geo": "GB",
    "timeRange": "today 12-m",
    "interestOverTime": true,
    "interestByRegion": true,
    "relatedQueries": true
}

Time ranges use Google's own codes: now 1-H (past hour), now 4-H, now 1-d, now 7-d, today 1-m (30 days), today 3-m (90 days), today 12-m, today 5-y and all (since 2004), or custom with startDate and endDate. Google sets the step between points from the length: 1 minute for up to 4 hours, 8 minutes for a day, 1 hour for 7 days, 1 day up to about 9 months, 1 week up to 5 years, 1 month beyond.

Trending searches:

{
    "mode": "trending",
    "trendingGeos": ["US", "GB", "IN"],
    "trendingHours": "24",
    "maxTrendingSearches": 100,
    "trendingIncludeNews": true
}

Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. Real results for sourdough in the United Kingdom, shortened (the timeline has 54 weekly points, the region table 4 nations, the related lists 25 and 12 queries):

[
    {
        "type": "interestOverTime",
        "searchTerm": "sourdough",
        "comparedWith": [],
        "anchorTerm": null,
        "geo": "GB",
        "timeRange": "today 12-m",
        "category": 0,
        "categoryName": null,
        "property": "web",
        "trendsUrl": "https://trends.google.com/trends/explore?date=today%2012-m&geo=GB&q=sourdough&hl=en-US",
        "scrapedAt": "2026-10-18T01:47:12.435Z",
        "timelineResolution": "WEEK",
        "averageValue": null,
        "timeline": [
            { "date": "2025-10-12T00:00:00.000Z", "value": 70, "hasData": true, "isPartial": false },
            { "date": "2025-10-19T00:00:00.000Z", "value": 70, "hasData": true, "isPartial": false },
            { "date": "2026-10-18T00:00:00.000Z", "value": 40, "hasData": true, "isPartial": true }
        ]
    },
    {
        "type": "interestByRegion",
        "searchTerm": "sourdough",
        "geo": "GB",
        "timeRange": "today 12-m",
        "regionResolution": "region",
        "regions": [
            { "geoCode": "GB-ENG", "geoName": "England", "value": 100, "latitude": null, "longitude": null },
            { "geoCode": "GB-SCT", "geoName": "Scotland", "value": 95, "latitude": null, "longitude": null }
        ]
    },
    {
        "type": "relatedQueries",
        "searchTerm": "sourdough",
        "geo": "GB",
        "timeRange": "today 12-m",
        "top": [
            { "rank": 1, "query": "sourdough bread", "value": 100, "formattedValue": "100", "link": "https://trends.google.com/trends/explore?q=sourdough+bread&date=today+12-m&geo=GB" },
            { "rank": 2, "query": "sourdough starter", "value": 57, "formattedValue": "57", "link": "https://trends.google.com/trends/explore?q=sourdough+starter&date=today+12-m&geo=GB" }
        ],
        "rising": [
            { "rank": 1, "query": "how to bake sourdough bread", "value": 1250, "formattedValue": "+1,250%", "link": "https://trends.google.com/trends/explore?q=how+to+bake+sourdough+bread&date=today+12-m&geo=GB" }
        ]
    }
]

A trending search (United States, past 24 hours, shortened):

{
    "type": "trendingSearch",
    "searchTerm": "penn state vs michigan",
    "geo": "US",
    "trendingHours": 24,
    "rank": 4,
    "searchVolume": 200000,
    "formattedSearchVolume": "200K+",
    "increasePercent": 1000,
    "startedAt": "2026-10-17T13:10:00.000Z",
    "endedAt": null,
    "isActive": true,
    "categories": ["Sports"],
    "trendBreakdown": ["penn state vs michigan", "michigan vs penn state"],
    "newsArticles": [
        {
            "title": "Tommy Carr provides spark, helps Michigan capture first Big Ten win",
            "url": "https://www.detroitnews.com/story/sports/college/university-michigan/2026/10/17/tommy-carr-provides-second-half-spark-in-michigans-win-over-penn-state/92302760007/",
            "source": "The Detroit News",
            "publishedAt": "2026-10-17T23:41:00.000Z",
            "imageUrl": "https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcTatvJYe9rEHIgRZiBIZxj9h637zsLgCqt8uLHDM_4yoDGtjZRmT1ApxKiWPpU"
        }
    ],
    "trendsUrl": "https://trends.google.com/trends/explore?date=now%201-d&geo=US&q=penn%20state%20vs%20michigan&hl=en-US",
    "scrapedAt": "2026-10-18T01:47:21.773Z"
}

For a flat table, open the Timeline rows or Region rows view in the Output tab, or choose it under View when you export. Through the API, add view=timeline to the dataset items URL.

How to compare more than five search terms

Google Trends scales every chart so its highest point is 100, and compares at most 5 terms at a time, so two separate charts cannot be compared directly. Turn on Compare terms on one scale and list up to 1,000 terms. The first term becomes the anchor: it is added to every group of 4 other terms. Because the anchor appears in every group, the Actor can move each group onto one scale and saves every point's commonScaleValue (0 to 100 across all terms, two decimals), next to Google's own value for that group. Put a term of medium popularity first: an anchor that is tiny next to the others carries little detail, and a group where the anchor shows no interest at all cannot be placed (its common values stay empty and the log says so).

Tips for scraping Google Trends

• Monitor trends on a schedule. Run daily or hourly from the Schedules page; each run is charged only for the results it saves.
• Match a chart you see in the browser by pasting its URL into Google Trends URLs. Values are relative and Google refreshes its numbers about once an hour, so a rerun can differ from an earlier run by a point.
• Use topics for ambiguous words. A Google topic id such as /m/02vqfm (Coffee, the beverage) counts all searches about the topic, in every language.
• Leave the proxy setting on. The Actor connects directly while Google allows it and switches to Apify Proxy only when needed, at no extra charge to you.
• Related topics: Google now shows related topics only to signed-in visitors, so this list usually comes back empty for every tool that does not log in. Empty results are not charged.

Integrations and API

• API: start runs and read results with the Apify API, for example POST https://api.apify.com/v2/acts/stratumics~google-trends-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN with the input as the JSON body.
• JavaScript and Python: use the official apify-client packages: client.actor('stratumics/google-trends-scraper').call(input), then read client.dataset(run.defaultDatasetId).listItems().
• No-code: connect the Actor to Zapier, Make, n8n, Google Sheets, Slack or webhooks from the Integrations tab.
• AI agents: add the Apify MCP server (https://mcp.apify.com?tools=stratumics/google-trends-scraper) to any assistant that supports the Model Context Protocol, and it can look up Google Trends data on its own.

FAQ

Do I need a Google account or an API key?

No. The Actor reads the public Google Trends website the way a logged-out visitor's browser does.

What do the numbers mean?

Google Trends does not publish search counts. Each value is search interest relative to the highest point in the chart for the chosen location and time: 100 is the peak, 50 is half as popular, and 0 means too little data. Region values work the same way across regions. Trending searches come with Google's approximate volume, such as 200K+.

Why do some terms have no region data or no related queries?

Google shows a region or a related query only above a minimum search volume, so rare terms, small places and short time ranges often have none. The Actor skips those results and does not charge for them; the run's status message lists them.

How fresh is the data?

Interest over time runs up to the current hour for short ranges; the last point is flagged isPartial while its period is still running. Trending searches are what Google lists at the moment of the run.

Is it legal to scrape Google Trends?

Our Actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our Actors, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

Google Trends data is aggregated and anonymous. The only names that can appear are those of public figures in trending searches and news headlines.

Where do I report a problem?

Open an issue on the Issues tab with your run link and we will look at it. For programmatic access, see the API tab.

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