Google Trends Scraper – Interest Over Time, Regions, Related Queries & Trending Now

A Google Trends API without a browser, login or API key. For any keyword, in any country or worldwide, you get interest over time, interest by region, city and US metro area, and top and rising related searches (with "Breakout" and +% growth). You can also compare up to 5 keywords on one chart, or pull Google's Trending now list with search volume, % increase, start time, related searches and news articles.

It calls Google Trends' own data endpoints directly over plain HTTP, so runs are fast and cheap. When Google rate-limits, the Actor slows down, switches IP and retries on its own. Each keyword is one clean result with summary numbers already worked out (average, peak, latest value, % change, rising/falling) and a plain-English summary that an LLM can read directly. No start fee.

What you can use it for

• SEO & content planning: find rising queries and seasonal peaks before you write, and see which states and cities search for a topic most.
• Market research & product validation: compare brands, products or ideas ("notion vs obsidian vs evernote") over 5 years in any country.
• Trend monitoring: schedule a daily run on your keywords and alert when trendDirection turns rising or a rising query shows "Breakout".
• News, social & newsletter teams: pull what's trending right now in the US, UK, Malaysia or 120+ other countries, with the news stories behind each trend.
• E-commerce & ads: use Google Shopping or YouTube search interest, and US metro (DMA) data for local ad targeting.
• AI agents & dashboards: every result has a summary sentence and flat stats fields, ready for LLMs, Sheets or BI tools.

How to scrape Google Trends

1. Create a free Apify account (no credit card needed to start) and open this Actor.
2. Add terms. Type search terms in Search terms (one result per term and country), or put up to five in Compare terms to compare them on the same chart.
3. Choose where and when. Pick Countries / regions (or leave worldwide), a Time range or a custom date range, and optionally a Category and Search type (web, images, news, shopping, YouTube).
4. Pick the breakdowns. Switch on Interest by region, Interest by city / metro and Related queries as needed. For what is trending right now, fill the Trending now fields instead.
5. Click Start. Results appear in the Output tab while it runs.
6. Download or connect. Export as JSON, CSV, Excel or HTML, or read the dataset through the API, Make, Zapier, n8n, Google Sheets or a webhook.
7. Automate it. Open Schedules and run daily to build your own history of interest over time or of the trending list.

Tips

• Related topics are currently empty for automated requests on Google's side, so they are off by default.
• Terms without enough data are returned empty and are not charged.
• Pasting a Google Trends link into Google Trends URLs reproduces exactly that chart.

Three ways to use it

1. Keywords: add searchTerms and geos. You get one result per keyword per location.
2. Compare: turn on compareTerms and up to 5 keywords share one chart, so their values are relative to each other, exactly like the Compare button on Google Trends. Or paste a Google Trends URL into startUrls.
3. Trending now: add country codes to trendingGeos to get today's trending searches.

You can mix all three in one run.

Output

Keyword (type: "keyword")

{
  "type": "keyword",
  "searchTerm": "bitcoin",
  "geo": "US",
  "geoName": "United States",
  "timeRange": "today 12-m",
  "timeRangeLabel": "past 12 months",
  "granularity": "week",
  "category": 0,
  "property": "web",
  "trendsUrl": "https://trends.google.com/trends/explore?date=today%2012-m&q=bitcoin&hl=en-US&geo=US",
  "average": 34.3,
  "peakValue": 100,
  "peakDate": "2026-02-01",
  "latestValue": 15,
  "latestDate": "2026-10-11",
  "changePercent": -45.7,
  "trendDirection": "falling",
  "hasData": true,
  "interestOverTime": [
    { "date": "2025-10-12", "label": "Oct 12 – 18, 2025", "value": 42, "isPartial": false },
    { "date": "2025-10-19", "label": "Oct 19 – 25, 2025", "value": 30, "isPartial": false }
  ],
  "interestByRegion": [
    { "name": "Wyoming", "geoCode": "US-WY", "value": 100 },
    { "name": "Nevada", "geoCode": "US-NV", "value": 48 }
  ],
  "interestByCity": [
    { "name": "Miami Beach", "lat": 25.790654, "lng": -80.1300455, "value": 93 }
  ],
  "interestByMetro": [
    { "name": "Cheyenne WY-Scottsbluff NE", "geoCode": "759", "value": 100 }
  ],
  "relatedQueriesTop": [
    { "query": "bitcoin price", "value": 100, "exploreUrl": "https://trends.google.com/trends/explore?q=bitcoin+price&date=today+12-m&geo=US" }
  ],
  "relatedQueriesRising": [
    { "query": "spcx stock", "value": 14500, "growth": "Breakout", "exploreUrl": "https://trends.google.com/trends/explore?q=spcx+stock&date=today+12-m&geo=US" },
    { "query": "sandisk stock", "value": 3750, "growth": "+3,750%", "exploreUrl": "https://trends.google.com/trends/explore?q=sandisk+stock&date=today+12-m&geo=US" }
  ],
  "summary": "Google search interest for \"bitcoin\" in United States (past 12 months, web search, scale 0-100). Average 34.3, peak 100 on 2026-02-01, latest 15 on 2026-10-11. Last quarter of the period vs first quarter: -45.7% (falling). Top regions: Wyoming 100, Nevada 48, Kansas 48, … Top related searches: bitcoin price, bitcoin today, … Rising related searches: spcx stock (Breakout), sandisk stock (+3,750%), …",
  "scrapedAt": "2026-10-14T10:50:54.370051+00:00"
}

Values are Google's 0–100 index: 100 is the busiest point in the period and location, not a search count. changePercent compares the average of the last quarter of the period with the first quarter. trendDirection is rising above +10%, falling below −10%, otherwise stable. The last point is often isPartial: true (the current week or day isn't finished yet) and is left out of the change.

Comparison (type: "comparison")

Same fields, but interestOverTime[].values, averages, termStats and interestByRegion[].values are keyed by term, and relatedQueries holds top/rising lists per term:

{
  "type": "comparison",
  "searchTerms": ["nasi lemak", "roti canai", "mee goreng"],
  "geo": "MY",
  "timeRange": "today 5-y",
  "averages": { "nasi lemak": 69.3, "roti canai": 18.8, "mee goreng": 10.3 },
  "termStats": {
    "nasi lemak": { "average": 69.3, "peakValue": 100, "peakDate": "2025-01-26", "latestValue": 64, "changePercent": 29.1, "trendDirection": "rising" }
  },
  "interestOverTime": [{ "date": "2021-10-10", "values": { "nasi lemak": 45, "roti canai": 14, "mee goreng": 12 }, "isPartial": false }],
  "interestByRegion": [{ "name": "Federal Territory of Kuala Lumpur", "geoCode": "MY-14", "values": { "nasi lemak": 79, "roti canai": 14, "mee goreng": 7 } }]
}

Trending now (type: "trending")

{
  "type": "trending",
  "title": "galatasaray vs barcelona",
  "geo": "US",
  "geoName": "United States",
  "searchVolume": 200000,
  "searchVolumeLabel": "200K+",
  "increasePercent": 1000,
  "startedAt": "2026-10-13T16:50:00Z",
  "endedAt": null,
  "isActive": true,
  "categories": ["Sports"],
  "relatedSearches": ["galatasaray vs barcelona", "lamine yamal", "barca game", "where to watch galatasaray vs fc barcelona"],
  "news": [
    {
      "title": "Flick urges caution as Barcelona extend perfect start with Champions League win",
      "url": "https://www.espn.com/soccer/story/_/id/50177584/flick-barcelona-galatasaray-perfect-start-champions-league",
      "source": "ESPN",
      "publishedAt": "2026-10-13T23:09:00Z",
      "imageUrl": "https://encrypted-tbn0.gstatic.com/images?q=tbn:…"
    }
  ],
  "exploreUrl": "https://trends.google.com/trends/explore?q=galatasaray%20vs%20barcelona&date=now%201-d&geo=US",
  "timeWindowHours": 24
}

Input

{
  "searchTerms": ["chatgpt", "gemini", "claude"],
  "compareTerms": false,
  "geos": ["US", "GB", "MY"],
  "timeRange": "today 12-m",
  "category": "",
  "property": "",
  "includeRegions": true,
  "includeCities": true,
  "includeRelatedQueries": true,
  "trendingGeos": ["US"],
  "trendingHours": "24",
  "maxTrendingPerGeo": 50,
  "includeTrendingNews": true
}

Field	Description
searchTerms	Keywords. Each one × each location = one result
compareTerms	Put up to 5 terms on one chart (one result per group)
geos	Country codes (US, GB, DE, MY…), sub-regions (US-CA, GB-ENG, AU-NSW) or empty for worldwide
timeRange	Past hour, 4 h, day, 7 days, 30 days, 90 days, 12 months, 5 years, or 2004–present
customTimeRange	Exact dates, e.g. 2024-01-01 2024-12-31
category	Google Trends category, e.g. Finance, Shopping, Travel
property	Web, image, news, Google Shopping or YouTube search
startUrls	Google Trends explore URLs; their terms, location, dates, category and search type are used
includeRegions / includeCities / includeRelatedQueries	Choose which breakdowns to fetch. Cities also add US metro areas (DMA) for US locations
trendingGeos	Countries for Trending now
trendingHours	Trending window: 4, 24, 48 hours or 7 days
trendingCategory / trendingActiveOnly	Filter trending searches by category or keep only those still active
maxTrendingPerGeo	Keep the N biggest trends per country (0 = all, up to ~500)
includeTrendingNews / newsPerTrend	News articles per trending search (1–10)
maxItems	Hard cap on results (and on what you pay)

Pricing

Pay per result. No start fee, no monthly rental:

Result	Price
Keyword or comparison (timeline + regions + cities + related queries, all in one result)	$1.50 per 1,000
Trending now search (with news articles)	$0.50 per 1,000

Example: tracking 100 keywords in 3 countries every day costs about $0.45 a day. The top 50 trends in 5 countries cost $0.13. A keyword Google has no data for (too few searches) is returned with hasData: false and is not charged. Set "Maximum cost per run" to cap spending. The Actor stops cleanly at your limit.

Use with AI (LangChain / LlamaIndex / CrewAI)

Every result has a summary sentence with the key numbers, so an LLM can reason about trends without parsing time series. With LangChain (pip install langchain-apify):

from langchain_apify import ApifyWrapper
from langchain_core.documents import Document

apify = ApifyWrapper()  # reads APIFY_API_TOKEN
loader = apify.call_actor(
    actor_id="smoldesk/google-trends-scraper",
    run_input={"searchTerms": ["electric car", "heat pump"], "geos": ["US", "DE"], "trendingGeos": ["US"]},
    dataset_mapping_function=lambda r: Document(
        page_content=r.get("summary") or r.get("title", ""),
        metadata={k: r.get(k) for k in ("type", "searchTerm", "title", "geo", "trendDirection",
                                        "changePercent", "searchVolume", "trendsUrl")},
    ),
)
docs = loader.load()

Already have a run? Use ApifyDatasetLoader(dataset_id="<run's dataset ID>", dataset_mapping_function=...). LlamaIndex: ApifyActor from llama-index-readers-apify. CrewAI / Claude / MCP clients: add the Actor as a tool through the Apify MCP server: https://mcp.apify.com?actors=smoldesk/google-trends-scraper.

Tips

• Values are relative. Two separate keyword results can't be compared by their numbers. Turn on compareTerms to put them on the same scale.
• Finer data: past 7 days gives hourly points, past day 8-minute points, past 30/90 days daily points.
• Ambiguous words ("jaguar", "apple"): set a category.
• Big lists: hundreds of keywords are fine. The Actor paces itself to Google's limits, so expect roughly 20–30 keywords a minute (60 keywords with cities took 2 minutes in our tests). If Google throttles, it slows down instead of failing.
• Monitoring: schedule daily, then filter on trendDirection or on growth: "Breakout" in relatedQueriesRising.

FAQ

Is there an official Google Trends API? Google announced an alpha Trends API in 2025 for a small group of approved testers only. This Actor gives you the same data as a ready-made API today: call it from Python, JavaScript, Make, Zapier, n8n or plain HTTP and get JSON, CSV or Excel back.

Is this a pytrends alternative? Yes. pytrends is no longer maintained and gets HTTP 429 errors quickly. This Actor handles rate limits, IP rotation and retries for you, and needs no Python setup.

Do I need a Google account or proxies? No. No login is needed. Apify datacenter proxy (on by default) is enough. Residential proxies are not needed.

Why are related topics empty? Since September 2026 Google returns an empty related-topics list to almost all automated requests, from any IP. Related queries (top and rising) are not affected and are included by default. You can still turn on includeRelatedTopics in case Google brings topics back.

Why do some cities have no data? Google only shows cities with enough searches, so niche keywords may have few or no cities. Regions and US metro areas usually have full coverage.

Is it legal? The Actor only reads public, aggregated, anonymised Google Trends data that anyone can see without logging in. No personal data is collected.

Feedback

Found a bug or missing a field? Open an issue in the Issues tab. If the Actor saved you time, a short review on this page helps other people find it.

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