Google Trends Scraper: Trending Now & Compare

Get Google Trends as flat rows, ready for a spreadsheet: interest over time, interest by region, metro or city, and top and rising related queries, for single terms or up to 5 terms compared on one chart, plus up to 5,000 Trending Now searches per country with search volumes. No Google account needed.

Tested daily. Latest checks: 30 searches and the 7-day Trending Now lists of the US, the UK and India in one run, 13,317 rows in 5 minutes with every search read; the US list alone held 3,480 trending searches.

What does this Actor do?

You give it search terms (one search per line; put up to 5 terms on one line, separated by commas, to compare them), links copied from Google Trends, or countries for Trending Now. For each search it reads what the Google Trends explore page shows for your country, time range, category and Google property, and saves one row per data point:

• Interest over time: one row per point of the chart and per term, with its date, the 0 to 100 value Google shows, whether the point is still partial, Google's note on the chart where there is one, and, for compared terms, each term's average.
• Interest by region: one row per region and per term, with its 0 to 100 value. A country gives its regions (states, provinces), a region gives its metros or cities (with coordinates), worldwide gives countries. For compared terms, each row says which term leads there.
• Related queries: the top queries (0 to 100) and the rising ones (growth in percent, or Breakout), for each term, with a link to explore each one.

For each Trending Now country it saves one row per trending search, in Google's order: the search volume, the growth in percent, when it started and ended (or that it is still active), the searches Google groups under it, and its categories. Pick the past 4, 24 or 48 hours or 7 days, keep only some categories, or only trends still active.

Why use it?

• Rows, not nested blobs. Every point, region and query is its own row with the term, country and time range on it, so a CSV or Excel export is a table you can chart or pivot straight away.
• Compare up to 5 terms on one chart, as Google Trends does, with each term's value on the same scale, and which term leads in each region.
• Long Trending Now lists: up to 5,000 trending searches per country (500 by default). The US list of the past 7 days held 3,480 on the latest check.
• Every Google Trends setting: any country, region or US metro, preset or custom dates back to 2004, any category, and web, image, news, Shopping or YouTube search.
• Pay per row, and only for what you turn on. Switch off interest over time, by region or related queries to save only what you need.

How to use it

1. Type your search terms, one search per line (put up to 5 terms on one line, separated by commas, to compare them), or paste Google Trends links.
2. Pick the country or region, the time range, and if you want, a category and a Google property.
3. For Trending Now, add country codes, pick the window, and if you want, categories.
4. Click Start, then download the rows as JSON, CSV or Excel.

Input

Field	What it does	Default
Search terms (searchTerms)	One search per line; up to 5 terms on one line, separated by commas, are compared	—
Google Trends links (startUrls)	Explore or Trending Now links; each keeps its own settings	—
Country or region (geo)	US, GB, US-CA, US-CA-807…; empty for worldwide	worldwide
Time range (timeRange)	Past hour, 4 hours, day, 7 days, 30 days, 90 days, 12 months, 5 years, 2004 to now	past 12 months
Custom dates (customTimeRange)	Two dates, e.g. 2025-01-01 2025-06-30; overrides Time range	—
Category (category)	Google Trends' category number (the cat= of a link), 0 for all	0
Google property (searchProperty)	Web, image, news, Google Shopping or YouTube search	web
Language (language)	The language of region names and Trending Now, e.g. en-US, de	en-US
Interest over time (includeInterestOverTime)	Save the chart's points	on
Interest by region (includeInterestByRegion)	Save the regions, metros or cities	on
Related queries (includeRelatedQueries)	Save the top and rising related queries	on
Trending Now countries (trendingCountries)	Two-letter country codes to read Trending Now for	—
Trending Now window (trendingHours)	4, 24, 48 or 168 hours	24
Trending Now categories (trendingCategories)	Keep only these categories	all
Only active trends (trendingActiveOnly)	Leave out trends that have ended	off
Max trends per country (maxTrendingPerCountry)	The most Trending Now rows per country (1 to 5,000)	500

Give at least one search term, link or Trending Now country. Example input:

{
  "searchTerms": ["coffee", "tea, coffee, matcha"],
  "geo": "US",
  "timeRange": "today 5-y",
  "trendingCountries": ["US", "GB"],
  "trendingHours": "168"
}

Output

One row per data point. result_type says which kind it is: interest_over_time, interest_by_region, related_query or trending_search. Examples with made-up values:

{
  "result_id": "interest_over_time|https://trends.google.com/trends/explore?q=coffee&date=today+12-m&geo=US&hl=en-US|0|1790812800",
  "result_type": "interest_over_time",
  "keyword": "coffee",
  "search_terms": ["coffee"],
  "geo": "US",
  "time_range": "today 12-m",
  "category_id": 0,
  "property": "web",
  "language": "en-US",
  "input_link": "https://trends.google.com/trends/explore?q=coffee&date=today+12-m&geo=US&hl=en-US",
  "date": "2026-10-01T00:00:00.000Z",
  "timestamp": 1790812800,
  "formatted_time": "Oct 1 – 7, 2026",
  "formatted_axis_time": "Oct 1, 2026",
  "value": 87,
  "formatted_value": "87",
  "has_data": true,
  "is_partial": false,
  "axis_note": null,
  "term_average": null,
  "resolution": "WEEK",
  "time_range_resolved": "2025-10-23 2026-10-23"
}

{
  "result_type": "interest_by_region",
  "keyword": "coffee",
  "geo_code": "US-WA",
  "geo_name": "Washington",
  "value": 100,
  "formatted_value": "100",
  "has_data": true,
  "leading_term": null,
  "latitude": null,
  "longitude": null,
  "region_rank": 1,
  "region_resolution": "REGION"
}

{
  "result_type": "related_query",
  "keyword": "coffee",
  "query": "coffee shop near me",
  "ranking": "rising",
  "rank": 1,
  "value": 5000,
  "formatted_value": "Breakout",
  "is_breakout": true,
  "explore_url": "https://trends.google.com/trends/explore?q=coffee+shop+near+me&date=today+12-m&geo=US",
  "rising_compared_with": "2024-10-23 2025-10-22"
}

{
  "result_type": "trending_search",
  "keyword": "world series",
  "explore_term": "world series",
  "geo": "US",
  "trending_hours": 24,
  "trending_rank": 1,
  "started_at": "2026-10-22T23:00:00.000Z",
  "ended_at": null,
  "is_active": true,
  "search_volume": 1000000,
  "increase_percent": 1000,
  "related_terms": ["world series", "world series game 1", "world series score"],
  "category_ids": [17],
  "categories": ["Sports"],
  "explore_url": "https://trends.google.com/trends/explore?q=world%20series&geo=US&date=now%201-d&hl=en-US"
}

Every row also carries result_id, keyword, language and input_link; search rows carry search_terms, geo, time_range, category_id and property.

Field	What it is
result_id, result_type	The row's id (unique in a run) and its kind
keyword, search_terms	The term the row is about, and every term of its search (compared terms share one scale)
geo, time_range, category_id, property, language, input_link	The search's country or region, time range, category, Google property, language and link
date, timestamp, formatted_time, formatted_axis_time	A chart point's start (UTC), as a Unix time, and as Google labels it
value, formatted_value, has_data	The 0 to 100 value (a rising query: its growth in percent) and as Google shows it
is_partial, axis_note, term_average	Whether the point is still being counted, Google's note on the chart, and the term's average
resolution, time_range_resolved	The chart's step (minute, hour, day, week, month) and the dates it covers
geo_code, geo_name, region_rank, region_resolution	The region's code and name, its place on the list, and its level (country, region, metro, city)
leading_term, latitude, longitude	Which compared term leads there, and a city's coordinates
query, ranking, rank, is_breakout, explore_url, rising_compared_with	A related query, top or rising, its place, Breakout, its explore link, and the period rising is measured against
explore_term, trending_hours, trending_rank	A trend's search as Google explores it, the window, and its place in Google's list
started_at, ended_at, is_active	When the trend started and ended (UTC), and whether it is still active
search_volume, increase_percent	Google's search volume (the lower bound it shows, e.g. 200000 for 200K+) and the growth in percent
related_terms, category_ids, categories	The searches grouped under the trend, and its categories

How much does it cost?

No surcharges and no paid options; an item that fails is not charged.

This Actor is priced per row saved:

• $0.02 per 1,000 results ($0.00002 a row): a chart point, a region, a related query or a trending search. Each is charged once per run.
• No start fee, and nothing per search.

So one term over 12 months in the US (about 150 rows: 53 weekly points, 51 states, top and rising queries) costs about $0.003, and the US Trending Now list of the past 7 days (3,480 rows) costs $0.07. If you set a maximum cost for a run, the Actor stops when it reaches it and keeps every row saved so far.

How long does a run take?

About 10 seconds for one search and a short Trending Now list, a minute for two compared searches (3 and 5 terms, 5 years) and a Singapore link (2,815 rows), about a minute and a quarter for the US Trending Now list of 7 days (3,480 rows), and 5 minutes for 30 searches with three countries' 7-day lists (13,317 rows). Many searches are read at about six a minute.

Good to know

• Values are Google's 0 to 100 scale, not search counts. 100 is the peak of the chart (or of the regions); compared terms share one scale. Only Trending Now gives volumes, as Google's rounded lower bounds.
• The last point of a chart is often partial (is_partial): its period is still being counted.
• Related topics are not included.
• A region's level depends on the country: most countries give regions, a US state gives metros, a small country gives cities. The level is on every region row.
• Google rounds and samples. A term with too little search interest returns zeros or no rows; the same search run twice can differ slightly.
• Check your input first. A search term, link or country that cannot be read stops the run before anything is read, and the message names it.
• One search that cannot be read does not stop the run. The others carry on, and the run's status lists the searches that could not be read.

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Use it from an AI agent or the API

One call starts a run and returns its items (Apify waits up to 300 seconds; for a longer run, start it with POST /v2/acts/…/runs and read its dataset):

POST https://api.apify.com/v2/acts/luzivanlt~google-trends-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>

With the sample input as its JSON body:

{
  "searchTerms": ["coffee"],
  "geo": "US",
  "timeRange": "today 12-m",
  "category": 0,
  "searchProperty": "",
  "language": "en-US",
  "includeInterestOverTime": true,
  "includeInterestByRegion": true,
  "includeRelatedQueries": true,
  "trendingCountries": ["US"],
  "trendingHours": "24",
  "trendingActiveOnly": false,
  "maxTrendingPerCountry": 50
}

Its inputs, in the order of the input form:

Input	What it takes	Default
searchTerms (Search terms)	What to look up on Google Trends, one search per line, e.g. coffee.	—
startUrls (Google Trends links)	Links copied from Google Trends, e.g. https://trends.google.com/trends/explore?q=bitcoin&geo=US.	—
geo (Country or region)	Where to measure interest: a country code such as US, GB, DE or IN, a region such as US-CA, or a US metro such as US-CA-807, e.g. US.	—
timeRange (Time range)	The period of the chart, e.g. Past 12 months.	"today 12-m"
customTimeRange (Custom dates)	Two dates instead of a preset time range, start then end, from 2004-01-01 to today, e.g. 2025-01-01 2025-06-30.	—
category (Category)	Google Trends' category number, as in the cat= part of an explore link, e.g. 71 for Food & Drink, 7 for Finance, 5 for Computers & Electronics, 20 for Sports. 0 for all categories.	0
searchProperty (Google property)	Which Google search to measure, e.g. YouTube search: web search (the default), image search, news search, Google Shopping or YouTube search, as the Google property menu on Google Trends offers.	""
language (Language)	The language Google names regions and related data in, and the language of the Trending Now lists, e.g. en-US, de, fr, ja or pt-BR.	"en-US"
includeInterestOverTime (Interest over time)	Save one row per point of the chart, per term: the 0 to 100 value Google shows, its date, its label, whether the last point is still partial, and each compared term's average.	true
includeInterestByRegion (Interest by region)	Save one row per region, metro or city, per term, with its 0 to 100 value, its code and name, and, when terms are compared, the term that leads there.	true
includeRelatedQueries (Related queries)	Save one row per related query, per term: the top queries with their 0 to 100 value and the rising ones with their growth in percent, or Breakout for the fastest risers, with a link to explore each.	true
trendingCountries (Trending Now countries)	Two-letter country codes to read Google's Trending Now list for, e.g. US, GB, IN.	—
trendingHours (Trending Now window)	How far back the Trending Now list goes, e.g. Past 7 days: the past 4 hours, 24 hours, 48 hours or 7 days, as the Trending Now page offers.	"24"
trendingCategories (Trending Now categories)	Keep only trends in these categories, e.g. Sports and Technology, as the category menu of the Trending Now page offers.	—
trendingActiveOnly (Only active trends)	Keep only trends Google still marks as active, leaving out those that have ended, as the Active toggle of the Trending Now page does.	false
maxTrendingPerCountry (Max trends per country)	The most Trending Now rows to save for each country, from 1 to 5,000, in the order Google lists them.	500

Apify's MCP server, https://mcp.apify.com, lists it as luzivanlt/google-trends-scraper. To give an AI agent this Actor as a tool, add the server to the agent's MCP config:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=luzivanlt/google-trends-scraper"
    }
  }
}

The client signs in with OAuth, or add "headers": { "Authorization": "Bearer <APIFY_TOKEN>" }.

Charged per result delivered; the sample input above costs at most $0.01.

FAQ

Do I need a Google account? No. The Actor reads what anyone can see on Google Trends without logging in.

How do I compare terms? Put them on one line, separated by commas: coffee, tea, matcha. Up to 5 terms share one chart, as on Google Trends. Each term on its own line is its own search, on its own 0 to 100 scale.

Can I get the same data as a Google Trends link I have open? Yes. Paste the link under Google Trends links: it keeps its terms, country, dates, category and property.

Can I run it from my own code, on a schedule, or with other apps? Yes. Like any Apify Actor, you can start it through the Apify API, run it on a schedule, and connect it to other apps with Apify's integrations and webhooks.

Is it legal to scrape Google Trends?

This Actor reads only what anyone can see on Google Trends without logging in, and its rows hold no personal data. Check Google's terms before you use the data. If you are unsure, ask a lawyer.

Support

Found a problem or missing a feature? Open an issue on the Issues tab and include the run's link.

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This Actor is not affiliated with, endorsed by or sponsored by Google.