Google Trends Scraper: Interest Over Time & Related Queries

Get Google Trends data as clean JSON, CSV or Excel: interest over time, interest by country / state / city / metro, top and rising related queries (incl. Breakout), related topics, comparisons of up to 5 keywords on one scale, any country, time range, category and Web / News / Images / YouTube / Shopping search, plus Trending Now (daily trending searches with search volume and news links).

Built for one thing above all: it finishes, every time. No endless runs, no 20-minute waits with an empty dataset. If Google rate-limits a keyword, the scraper slows down, rests the connection, retries from a fresh IP, and if it still can't get the data in time you get a free row that says why, never a hung run or a charge for nothing.

Why switch

	This scraper	apify/google-trends-scraper
Price	$2.25 per 1,000 results (one keyword = one result)	$3.00 per 1,000 results (Free plan)
Platform usage (compute, proxy)	Included in the price	Paid by you on top
Failed / no-data keywords	Free row with the reason	Runs often time out or abort
Hard time limit per keyword	Yes (default 120 s, then a free error row)	Recent reviews: "ran for 20 minutes didn't return anything"
Interest over time + summary stats	Yes, plus average, peak, peak date, latest value, change %	Timeline + averages
Interest by region	Country, region/state, city, US metro (DMA), low-volume regions	Subregion, city
Related queries (top + rising)	Yes, with Breakout flag and a "contains your keyword" flag to filter spam	Yes
Related topics (top + rising)	Yes (when Google provides them)	Yes
Compare up to 5 keywords on one scale	Yes ("coffee, tea, matcha")	Yes ("Multiple terms" option)
Search type	Web, News, Images, YouTube, Shopping as a simple dropdown	Only via pasted URLs
Trending Now (daily trends)	Yes, any country	No (separate actor)
Paste Google Trends URLs	Yes	Yes
Spreadsheet-friendly flat layout	Yes (one row per date / region / query)	Nested only
Respects your max cost per run	Yes, and tells you if the cap is below one result	Yes

Last 30 days on the Apify Store, the leading Trends scraper finished successfully in only about 56% of runs (thousands timed out or were aborted). This one is designed so a run always ends with data or an honest explanation.

Pricing

Pay per result: $0.00225 per keyword result ($2.25 per 1,000), plus a tiny $0.00005 start fee per run.

• One keyword = one result, with all its data: the full timeline, regions, related queries and topics.
• A 5-keyword comparison = 5 results.
• One Trending Now search = one result.
• Free: keywords with no data, invalid input, rate-limited or timed-out keywords, and every detail row in the flat layout.
• Platform usage is included. You pay only the price above.

Example: tracking 200 keywords every week costs about $1.80 a month.

How to use

1. Type your keywords, one per line. Put several on one line separated by commas to compare them.
2. Pick a location (empty = worldwide), time range, category and search type.
3. Click Start. A single keyword usually takes 5 to 15 seconds.

Input examples

One keyword, US, last 12 months (the default):

{ "searchTerms": ["web scraping"], "geo": "US" }

Compare 3 drinks worldwide over 5 years, YouTube searches, flat rows for Excel:

{
  "searchTerms": ["coffee, tea, matcha"],
  "timeRange": "today 5-y",
  "searchProperty": "youtube",
  "outputLayout": "flat"
}

City-level interest in a custom date range, category Food & Drink (71):

{
  "searchTerms": ["pizza", "tacos"],
  "geo": "US-NY",
  "customTimeRange": "2024-01-01 2025-12-31",
  "category": 71,
  "regionResolution": "CITY"
}

What is trending right now in the US, UK and India:

{ "searchTerms": [], "trendingNowGeos": ["US", "GB", "IN"] }

Google Trends URLs work too (their own geo, date, category and search type are used):

{ "startUrls": [{ "url": "https://trends.google.com/trends/explore?q=bitcoin&geo=GB&date=today%205-y&gprop=youtube" }] }

Time ranges

now 1-H, now 4-H, now 1-d, now 7-d, today 1-m, today 3-m, today 12-m, today 5-y, all (2004 to now), or a custom range YYYY-MM-DD YYYY-MM-DD.

Output

One row per keyword (default layout):

{
  "searchTerm": "air fryer",
  "status": "ok",
  "geo": "US",
  "timeRange": "today 12-m",
  "timeRangeResolved": "2025-10-20 2026-10-20",
  "resolution": "WEEK",
  "averageInterest": 64.92,
  "peakInterest": 100,
  "peakDate": "2026-04-12",
  "latestInterest": 53,
  "latestDate": "2026-10-11",
  "interestChangePercent": -5.1,
  "interestOverTime": [ { "date": "2025-10-19", "value": 52, "isPartial": false }, "..." ],
  "interestByRegion": [ { "geoCode": "US-WV", "geoName": "West Virginia", "value": 100 }, "..." ],
  "relatedQueriesTop": [ { "query": "air fryer chicken", "value": 100, "containsSearchTerm": true, "relevance": "term" }, "..." ],
  "relatedQueriesRising": [ { "query": "ninja crispi pro air fryer", "value": 4250, "formattedValue": "Breakout", "isBreakout": true, "relevance": "term" }, "..." ],
  "relatedQueriesRemovedCount": 7,
  "relatedQueriesRemoved": [ { "query": "noise cancelling headphones", "list": "rising", "value": 5000, "formattedValue": "Breakout" }, "..." ],
  "relatedTopicsTop": [], "relatedTopicsRising": [],
  "trendsUrl": "https://trends.google.com/trends/explore?q=air+fryer&date=today+12-m&geo=US"
}

Free explanation row (not charged):

{ "searchTerm": "qzxvplmkq wwtrbbn", "status": "no_data",
  "error": "Google Trends has not enough search volume for this term with these settings (all zeros). Free row. ..." }

Trending Now row:

{ "recordType": "trendingNow", "geo": "US", "rank": 1, "title": "lebron james", "approxTraffic": "5000+",
  "approxTrafficNumber": 5000, "startedAt": "2026-10-20T23:00:00Z",
  "newsItems": [ { "title": "...", "url": "https://...", "source": "Yahoo Sports" } ] }

The flat layout writes one summary row per keyword (charged) followed by free detail rows with recordType = interestOverTime, interestByRegion, relatedQueryTop, relatedQueryRising, relatedTopicTop or relatedTopicRising, ready for Excel, Google Sheets, Looker Studio or a database.

A run summary (counts, retries, settings) is saved in the key-value store as OUTPUT.

Good to know

• Values are relative (0-100), exactly like trends.google.com. 100 is the peak for the chosen keyword(s), place and time. Compare keywords on one line to put them on the same scale.
• Google samples its data, so a value can differ by about one point between two requests. That is normal and happens on the website too.
• Related topics: Google currently returns an empty topics list for many searches (also on its own website) and never shows topics for comparisons. When that happens, the topics fields are empty lists and you are still charged only once for the keyword.
• Spam filter for related queries (on by default). Google Trends itself, also on trends.google.com, mixes a shared pool of unrelated "Breakout" queries (for example "how to cook pasta" or "learn golang" under "electric cars") into many keywords' related queries. By default we remove queries with no connection to your keyword and list them in relatedQueriesRemoved (with relatedQueriesRemovedCount), so nothing is hidden. Each kept query has relevance: term (contains your keyword), topic (shares a word with your keyword's related searches, e.g. "toyota" for "electric cars") or popular (strong volume in Google's top list). Set relatedQueriesMode to raw to get Google's lists unchanged, with every query labelled, including off_topic. The filter is a heuristic: a few genuine but unusual rising queries (for example a person's name) can land in relatedQueriesRemoved.
• Rate limits: Google limits how fast anyone can query Trends. This scraper paces its requests, backs off when Google says "too many requests", rests that connection and retries from a fresh Apify datacenter IP, and retries rate-limited keywords once more at the end of the run. It does not solve CAPTCHAs or disguise itself. For very large batches, schedule several smaller runs.
• Location codes: US, GB, DE, states like US-CA, metros like US-NY-501. Empty = worldwide.
• Time zone: timezoneOffsetMinutes works like Google's tz parameter: minutes behind UTC (300 = New York in winter).

FAQ

Is scraping Google Trends legal? This actor reads publicly available, aggregated, non-personal Trends statistics through Google's normal public endpoints, at a polite pace. You are responsible for how you use the data and for complying with Google's terms in your jurisdiction.

Can I use it through the API, Make, Zapier or n8n? Yes. Any Apify integration works, and the input is plain JSON.

Something looks wrong? Open an issue on the Issues tab with the run link. We answer fast.