Google Trends Scraper: Interest, Regions & Related Queries

A Google Trends API with no API key and no quota. Get interest over time, interest by country, state, metro or city, related queries (top and rising, including Breakouts), and what's trending right now in any country. Compare up to 5 terms on the same 0–100 scale, just like the Trends website. You only pay for results with data.

💲 Price	$3 per 1,000 results. One result is one search line (up to 5 terms) or one trending-now country. Results without data are free.
⚡ Speed	~20 searches + 3 trending-now countries in about 30 seconds
📥 Input	Keywords (one per line, or comma-separated to compare), region, time range, category, search type
📤 Output	Time series + summary (average, latest, peak), regional breakdown, related queries, trending searches with news
🌍 Coverage	Any country or sub-region (US, DE, US-CA, US-NY-501), worldwide, 2004–present

What people use it for

• Keyword and content research: find rising searches before they peak (relatedQueries with ranking: "rising")
• Product and e-commerce: check seasonality and demand before stocking or launching (summary.peakDate, interestOverTime)
• Brand and competitor tracking: compare up to 5 brands in one result, week by week
• Local targeting: which states, metros or cities search a term most, for ads, stores or sales territories
• AI agents and dashboards: a ready-made summary per term, so an LLM or a spreadsheet doesn't have to crunch the series
• Newsrooms and social: today's trending searches per country, with traffic estimates and the news behind them

How to use it

1. Add search terms, one per line. Put up to 5 on one line, separated by commas, to compare them.
2. Pick a region and time range, and optionally a search type (Web, YouTube, Shopping, News, Images) or category.
3. Click Start, then download the results as JSON, CSV or Excel, or fetch them through the API.

For AI agents and automations

• One job: get Google Trends data (interest over time, by region, related queries) for keywords, or today's trending searches. Minimal input: { "searchTerms": ["air fryer"], "geo": "US" }
• Fast enough for a single tool call: 1–5 searches finish in about 10 seconds; ~20 in ~30 seconds, which fits inside the Apify MCP server's default 30-second wait. For big jobs, start the run asynchronously and read the dataset when it finishes.
• Where the results are: dataset items (fields below). A run summary is in the key-value store record OUTPUT: status (SUCCEEDED, PARTIAL, STOPPED_AT_SPEND_LIMIT, ABORTED, NO_RESULTS, SOURCE_UNAVAILABLE), results, errorsByCode and a plain-English message.
• Predictable billing: pay per event. Only successful results are charged; error rows are free.
• Respects "Max cost per run": it never starts work your budget can't pay for, then stops cleanly with status STOPPED_AT_SPEND_LIMIT. Everything fetched up to that point is kept.
• Graceful on abort and restarts: partial results are always kept, and a platform restart resumes without duplicates or double charges.
• Honest failures: if the source blocks every request or changes its format, the run fails with a clear message and you pay $0, instead of quietly returning empty results.
• Works with the Apify MCP server (Claude, Cursor, other agents), agentic payments, and the API.

Input examples

One keyword in the US over the past 12 months:

{ "searchTerms": ["air fryer"], "geo": "US", "timeRange": "past_12_months" }

Compare three brands worldwide over 5 years, with city-level detail:

{ "searchTerms": ["tesla, rivian, lucid"], "timeRange": "past_5_years", "regionResolution": "city" }

YouTube search interest for a custom date range, plus today's trending searches:

{ "searchTerms": ["minecraft"], "searchType": "youtube", "timeRange": "custom", "customTimeRange": "2024-01-01 2024-12-31", "trendingNowCountries": ["US", "GB"] }

Output

From a real run: chatgpt, gemini, claude, United States, past 12 months (arrays shortened):

{
  "status": "ok",
  "type": "explore",
  "query": "chatgpt vs gemini vs claude",
  "searchTerms": ["chatgpt", "gemini", "claude"],
  "geo": "US",
  "timeRange": "today 12-m",
  "searchType": "web",
  "url": "https://trends.google.com/trends/explore?date=today+12-m&geo=US&q=chatgpt%2Cgemini%2Cclaude&hl=en-US",
  "summary": {
    "chatgpt": { "average": 77, "latest": 79, "peak": 100, "peakDate": "2025-10-19" },
    "gemini":  { "average": 28, "latest": 33, "peak": 36,  "peakDate": "2026-10-11" },
    "claude":  { "average": 19, "latest": 23, "peak": 33,  "peakDate": "2026-04-12" }
  },
  "interestOverTime": [
    { "date": "2026-10-04", "formattedTime": "Oct 4 – 10, 2026", "isPartial": false, "values": { "chatgpt": 79, "gemini": 33, "claude": 23 } }
  ],
  "regionLevel": "region",
  "interestByRegion": [
    { "geoCode": "US-CA", "geoName": "California", "values": { "chatgpt": 58, "gemini": 24, "claude": 18 } }
  ],
  "relatedQueries": [
    { "term": "chatgpt", "ranking": "top", "value": 100, "formattedValue": "100", "query": "chatgpt ai" },
    { "term": "chatgpt", "ranking": "rising", "value": 300, "formattedValue": "+300%", "query": "cancel chatgpt subscription" }
  ]
}

Trending now (trendingNowCountries: ["US"]):

{
  "status": "ok",
  "type": "trendingNow",
  "geo": "US",
  "trendingCount": 10,
  "trendingSearches": [
    { "rank": 1, "title": "sonay kartal", "approxTraffic": "2000+", "startedAt": "2026-10-16T04:50:00.000Z",
      "news": [{ "title": "Wuhan Open: Sonay Kartal beats Jasmine Paolini to reach quarter-finals", "url": "https://www.bbc.com/sport/tennis/articles/c85ynx5vwq35o", "source": "BBC" }] }
  ]
}

Field	Meaning
summary	Per term: average, latest (last complete point), peak, peakDate
interestOverTime	0–100 per date for each term. isPartial marks the current, incomplete period.
interestByRegion / regionLevel	0–100 per region, and which level you got (country, region, metro or city)
relatedQueries	top and rising queries per term. formattedValue shows +300% or Breakout.
trendingSearches	Rank, title, approximate traffic, start time, and related news articles
url	The same view on the Google Trends website
status / errorCode	ok, or why there's no data (free)

Cost examples

Job	Results	Cost
10 keywords	10	$0.03
100 keywords, each compared against 4 competitors	100	$0.30
Daily trending-now for 20 countries for a month	600	$1.80

Set Max cost per run to cap any run, and the actor stops cleanly at the limit.

Integrations

• API: client.actor("t3data/google-trends").call({ searchTerms: ["air fryer"], geo: "US" }) (JS), or client.actor("t3data/google-trends").call(run_input={"searchTerms": ["air fryer"], "geo": "US"}) (Python). Full snippets are on the API tab.
• AI agents (MCP): available as a tool through the Apify MCP server.
• Scheduling: run it daily or weekly with Apify Schedules to track trends over time.
• No-code: Make, Zapier, n8n, Google Sheets, Slack and webhooks, through Apify integrations.
• Export: JSON, CSV, Excel, XML, HTML or RSS.

Error codes (never charged)

Code	Meaning
NO_DATA	Not enough search volume for this term, region and time range
TOO_MANY_TERMS	More than 5 terms on one line. Split the line.
INVALID_INPUT	Google rejected the geo, category or time range
INVALID_GEO	No trending-now feed for that country code
SOURCE_UNAVAILABLE (run status)	Every request was blocked, or the source changed its format. The run fails with $0 charged; retry later
BLOCKED	Google kept rate-limiting after every retry (rare; try again)
NETWORK_ERROR	A connection problem after every retry

FAQ

Why are values 0–100, not search counts? That's how Google Trends works. 100 is peak popularity for the selected terms, region and time, and everything else is relative to it. Put terms on the same line to compare them on one scale.

Why do my numbers differ slightly from the website? Google samples its data, so the same query can vary by a point or two between requests, on the website too.

Why did the region level fall back? Google doesn't publish every level everywhere: metro areas are US-only, and small terms have no city data. If the level you chose is empty, you get Google's default level, and regionLevel says which one.

Is there an official Google Trends API? Only a limited alpha with restricted access. This actor gives you the same data the public Trends website shows.

Do I need a proxy? No. A residential proxy, IP rotation and rate-limit retries are built in, and their cost is included in the price.

Something broke? Open an issue on the Issues tab with your input. Fixes usually ship within a day.

Limits

• Values are relative (0–100), not absolute search volumes. That's a Google Trends limitation.
• Related topics aren't included, because Google returns them empty for automated clients. Related queries work.
• At most 5 terms per comparison, the same as the website.

More from T3 Data

• YouTube Transcripts: full transcripts, SRT and AI-ready chunks for videos, playlists and channels
• YouTube Comments Scraper: comments and replies with likes, pinned and creator-hearted flags
• YouTube Channel & Shorts Scraper: channel info plus every video and Short with exact views, likes and dates
• Google News Scraper: news by keyword, topic or location, with real article URLs and full text
• Google Ads Transparency Scraper: every ad an advertiser or domain runs on Google, with dates, images and YouTube videos
• Google Hotels Scraper: hotel prices, ratings and booking-site prices for any city and dates

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This Actor is an independent tool. It is not affiliated with, endorsed by, or sponsored by Google. It only accesses publicly available Google Trends data.