Google Trends Scraper

Get Google Trends data as clean JSON: interest over time, interest by country / state / metro / city, top and rising (breakout) related queries, and today's Trending Now searches with search volume, growth and news. Paste search terms or Google Trends URLs, compare up to 5 terms on one scale, and run hundreds of keywords per run.

It reads the same JSON API the Trends website uses, with no browser: a 40-keyword run takes under a minute. When Google rate-limits an IP, the run switches to a new proxy session and repeats the search, so you get your rows instead of a failed run.

What data you get

Explore mode: one row per search term

Field	Example	Notes
searchTerm	matcha	keyword or topic id (/m/02vqfm)
comparedWith	["coffee", "tea"]	other terms on the same 0-100 scale (compare mode)
geo, timeRange, timeRangeResolved	US, today 12-m, 2025-10-14 2026-10-14
category, property	0, web	web, YouTube, News, Images or Shopping search
hasData	true	false when Google has too little search volume
averageInterest, latestInterest, peakInterestDate	73.3, 59, 2026-04-12T00:00:00Z	computed from the series
interestOverTime[]	{date, label, value, isPartial}	minute, hour, day, week or month points, as Google chooses for the range
interestByRegion[]	{geoCode, geoName, value} or {coordinates, geoName, value}	countries, sub-regions, US metros (DMA) or cities
regionLevel	CITY / default	default when Google has no data at the level you asked for
relatedQueriesTop[]	{query, value, link}	up to 25
relatedQueriesRising[]	{query, growthPercent, formattedValue, link}	up to 25; Breakout = more than +5000%
exploreUrl, scrapedAt		link to the same view on Google Trends

Trending now mode: one row per trending search

Field	Example
rank, searchTerm, geo, timeWindowHours	1, roma vs real madrid, US, 24
searchVolume	500000 (Google's bucket: 500K+)
increasePercentage	1000
startedAt, endedAt, isActive	ISO times; endedAt null while still trending
categories	["Sports"]
trendBreakdown	the related searches Google groups into this trend
news[]	{title, url, source, publishedTimestamp, image} (optional)
exploreUrl

Use cases

• SEO and content teams: find rising queries before they peak, compare topic demand, plan seasonal content.
• E-commerce and product research: check demand curves and seasonality by country or state before launching or stocking a product.
• Marketing agencies: monthly trend reports per client keyword; regional interest for geo-targeted campaigns.
• Newsrooms and social teams: Trending Now by country with volume, growth and headlines, every hour.
• Analysts and AI agents: a time series per keyword as JSON for dashboards, forecasting and LLM pipelines.

Input

Parameter	Default	Description
mode	explore	explore or trendingNow
searchTerms		keywords or topic ids; one row each
compareTerms	false	compare in groups of up to 5 on one scale
startUrls		Google Trends explore URLs (their own q, geo, date, cat, gprop are used)
geo	worldwide	US, GB, US-CA, US-NY-501...
timeRange	today 12-m	past hour ... 2004-present, or custom + customTimeRange (2024-01-01 2024-12-31)
category	0	Google Trends category id
property	web	web, youtube, news, images, shopping
includeInterestOverTime / includeInterestByRegion / includeRelatedQueries	true	turn off what you don't need for faster runs
regionResolution	auto	COUNTRY, REGION, DMA, CITY
trendingGeos	["US"]	trending now locations
trendingHours	24	4, 24, 48 or 168 hours
trendingCategories	all	e.g. Sports, Technology, Business and finance
trendingSort, maxTrends, onlyActiveTrends, includeTrendNews		ordering, limit, active only, add headlines
proxyConfiguration	Apify Residential	used only after Google rate-limits an IP

Example input

Seven phones on YouTube search in the US, compared in groups of 5 + 2:

{
    "mode": "explore",
    "searchTerms": [
        "iphone 17",
        "pixel 10",
        "galaxy s26",
        "oneplus 15",
        "xiaomi 16",
        "nothing phone",
        "motorola edge"
    ],
    "compareTerms": true,
    "geo": "US",
    "timeRange": "today 3-m",
    "property": "youtube",
    "regionResolution": "CITY"
}

Example output (real run, arrays shortened)

Google has no city data for compared terms on YouTube, so the row falls back to states (regionLevel: default).

{
    "type": "explore",
    "searchTerm": "nothing phone",
    "comparedWith": [
        "motorola edge"
    ],
    "geo": "US",
    "timeRange": "today 3-m",
    "timeRangeResolved": "2026-07-14 2026-10-14",
    "category": 0,
    "property": "youtube",
    "hasData": true,
    "averageInterest": 58.26,
    "peakInterestDate": "2026-09-22T00:00:00Z",
    "latestInterest": 67,
    "interestOverTime": [
        {
            "date": "2026-07-14T00:00:00Z",
            "label": "Jul 14, 2026",
            "value": 63,
            "isPartial": false
        },
        {
            "date": "2026-07-15T00:00:00Z",
            "label": "Jul 15, 2026",
            "value": 56,
            "isPartial": false
        }
    ],
    "interestByRegion": [
        {
            "geoCode": "US-DC",
            "coordinates": null,
            "geoName": "District of Columbia",
            "value": 100
        },
        {
            "geoCode": "US-DE",
            "coordinates": null,
            "geoName": "Delaware",
            "value": 100
        }
    ],
    "regionLevel": "default",
    "relatedQueriesTop": [
        {
            "query": "nothing phone pro",
            "value": 100,
            "link": "https://trends.google.com/trends/explore?q=nothing+phone+pro&date=today+3-m&geo=US"
        }
    ],
    "relatedQueriesRising": [
        {
            "query": "nothing phone 4a pro pink",
            "growthPercent": 36900,
            "formattedValue": "Breakout",
            "link": "https://trends.google.com/trends/explore?q=nothing+phone+4a+pro+pink&date=today+3-m&geo=US"
        }
    ],
    "exploreUrl": "https://trends.google.com/trends/explore?q=nothing+phone%2Cmotorola+edge&date=today+3-m&geo=US&gprop=youtube",
    "scrapedAt": "2026-10-14T23:57:02Z"
}

Scheduling and integrations

Schedule the actor (for example hourly Trending Now for 5 countries, or a weekly keyword report) in Apify Console → Schedules, and send results to Google Sheets, Slack, a webhook, Make, Zapier or n8n. Every run's dataset can be downloaded as JSON, CSV or Excel or read through the Apify API.

Use it from AI assistants (MCP)

Through the Apify MCP server (https://mcp.apify.com), Claude, ChatGPT and other MCP clients can call this actor as a tool: "compare search interest for matcha and coffee in the US over 5 years" returns the rows above.

FAQ

What do the numbers mean? Google Trends values are relative (0-100) within the chosen time range and location: 100 is the peak. They are not absolute search counts. Trending Now searchVolume is Google's volume bucket (for example 200K+).

Why compare terms? Separately, each term has its own 0-100 scale. With compareTerms the values are on one shared scale, like the comparison chart on the website.

Are related topics included? No. Google only serves related topics to browser sessions with a reCAPTCHA token. Related queries (top and rising) are included.

Why are some terms empty? hasData: false means Google has too little search volume for that term, place and period. Such rows are cheaper and still show you the term was checked.

What if Google rate-limits? The actor retries on a new proxy session and repeats the search (in a 150-keyword test run, all 10 rate-limit responses were recovered). Searches that still fail are listed in the run's FAILED_SEARCHES record and the rest of the run continues; to retry them, start a new run with just those terms.

How much data per term? Interest over time has up to ~270 points (monthly since 2004 for all); regions up to 250 countries or 200 cities; related queries up to 25 top + 25 rising.

Is it legal? The actor reads public, aggregated, anonymous statistics that Google publishes on trends.google.com. It collects no personal data. Check that your use complies with Google's terms and your local law.

This actor is not affiliated with or endorsed by Google.