Google Trends Scraper - Trending Now, Search Volume & Growth

What does Google Trends Scraper do?

Google Trends Scraper extracts the live "Trending Now" feed from Google Trends and returns it as clean, structured JSON. For every trending search you get the search volume, the growth rate, how long the trend has been running, its related terms, and a direct Google Trends explore link.

It covers 20 countries and 26 topic categories, looks back anywhere from 4 hours to 7 days, and needs no Google login, no cookies, and no API key. Run it from the Apify Console, call it from the Apify API, put it on a schedule, or pipe results into Make, Zapier, n8n, Google Sheets, or your own database through Apify integrations.

Why use Google Trends Scraper?

• Catch trends while they are still rising. Filter to New (breakout) trends or sort by recency to see what started in the last few hours, not yesterday's news.
• SEO and content strategy. Pull daily trending keywords with real search-volume bands and growth percentages, then brief writers on topics that are climbing right now.
• Market and product research. Watch the Shopping, Consumer Electronics, or Apparel categories in a specific country to spot demand spikes before competitors do.
• Newsroom and social monitoring. Track breaking topics per country and per category, on a schedule, without anyone refreshing a browser tab.
• Feed dashboards and AI pipelines. Flat, predictable JSON that drops straight into CSV, Excel, BigQuery, or a RAG/LLM workflow.

How to use Google Trends Scraper

1. Click Try for free to open the Actor in Apify Console.
2. Choose a Country (default: United States) and a Time range (default: past 24 hours).
3. Optionally narrow things down: pick a Category, set a Trend type, or set a Minimum search volume to drop small trends.
4. Click Start. A default run finishes in well under a minute.
5. Download the results as JSON, CSV, Excel, or HTML, or fetch them from the dataset API.

To run it every morning, open the Schedules tab and add the Actor — no code required.

Input

Field	Description	Default
geo	Country to pull trends for. 20 supported (see FAQ).	US
hours	Time range: past 4 / 12 / 24 hours, 2 days, or 7 days.	24
category	One of 26 Google Trends categories, e.g. Sports, Finance, Shopping.	0 (All)
trendType	All trends, Trending (rising), or New (breakout).	All
sortBy	search-volume, recency, or title.	search-volume
maxPages	Pages to scrape, 25 trends per page. 0 = every available page.	3 (≈75 trends)
minSearchVolume	Drop trends below this volume, e.g. 10000 keeps only 10K+ trends.	0
proxyConfiguration	Apify Proxy settings.	Apify Proxy on

Example input:

{
  "geo": "US",
  "hours": 24,
  "category": 0,
  "sortBy": "search-volume",
  "maxPages": 3,
  "minSearchVolume": 10000
}

Output

Each trending search becomes one dataset item:

{
  "name": "arthur fery",
  "searchVolume": "50K+",
  "searchVolumeNumber": 50000,
  "growth": "900%",
  "growthPercent": 900,
  "startedAgo": "19 hours ago",
  "status": "ended",
  "duration": "8 hr",
  "relatedTerms": ["flavio cobolli", "fery", "cobolli"],
  "exploreLink": "https://trends.google.com/trends/explore?q=flavio%20cobolli&date=now%201-d&hl=en-US",
  "geo": "US",
  "hours": 24,
  "category": 0,
  "categoryName": "All",
  "scrapedAt": "2026-07-09T09:57:06.145Z"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Field	Type	Description
name	string	The trending search term.
searchVolume	string	Volume band exactly as Google shows it, e.g. 50K+.
searchVolumeNumber	number	The same volume parsed into an integer for sorting and filtering.
growth	string	Growth as displayed, e.g. 900%.
growthPercent	number	Growth parsed into a number.
startedAgo	string	How long ago the trend started, e.g. 19 hours ago.
status	string	active if the trend is still running, ended if it has cooled off.
duration	string	How long the trend lasted. Present for ended trends.
relatedTerms	array	Related search terms Google groups with this trend, when it supplies them.
exploreLink	string	Direct Google Trends explore URL, provided alongside related terms.
geo, hours, category, categoryName	–	The query parameters this row was collected with.
scrapedAt	string	ISO timestamp of collection.

Google supplies relatedTerms and exploreLink for roughly two thirds of trends, and duration once a trend has ended. The remaining fields are always populated.

How much does it cost to scrape Google Trends?

From 17 August 2026 this Actor is priced per result:

• $0.50 per 1,000 trends ($0.0005 each)
• plus $0.005 per GB at run start — about $0.02 on the default 4 GB

A default run of roughly 75 trends therefore costs about $0.06, and 1,000 trends costs about $0.52. Platform usage is included, so there is no separate compute bill. (Before that date runs are billed at a flat $0.02 per GB at start.)

Apify's free tier includes monthly usage credits, so you can try the Actor without paying anything.

Tips

• Leave maxPages at 3 unless you genuinely need the long tail — the highest-volume trends are on the first pages when you sort by search volume.
• Use minSearchVolume instead of scraping everything and filtering later. It cuts noise and cost at the same time.
• Set trendType to New (breakout) plus sortBy: recency for an early-warning feed.
• Schedule one run per country per morning and append to the same dataset to build your own trend history.

FAQ

Which countries are supported? United States, United Kingdom, Germany, France, Japan, China, Brazil, India, Canada, Australia, South Korea, Italy, Spain, Mexico, Russia, Netherlands, Sweden, Singapore, Taiwan, and Hong Kong.

Do I need a Google account, cookies, or an API key? No. The Actor reads the public Trending Now feed.

Is scraping Google Trends legal? The Actor collects publicly available, non-personal data. Scraping public data is generally lawful, but you are responsible for how you use the output — review Google's terms and your local regulations, and consult a lawyer if you plan a commercial deployment.

Why do some trends have no related terms? Google only publishes them for some trends. The Actor reports exactly what Google returns rather than inventing values.

How fresh is the data? It is read live at run time, which is why the output carries a scrapedAt timestamp.

Support

Found a bug, or need a country, category, or field that is not covered yet? Open an issue on the Issues tab and it will be looked at. Custom variants of this Actor can also be built on request.