Google Trends Trending Now — What Is Trending in 125 Countries

What is trending on Google Search right now, in any of the 125 countries Google publishes Trending Now for — all of them in one run if you like. Each trending search comes back with Google's search volume for it, how fast it rose, when it started and when it stopped trending, the searches it is made of, its categories and how many news articles Google links to it. Read the past hour, 4 hours, 24 hours, 48 hours or 7 days. An independent tool, not affiliated with Google.

📖 What it does

• 🌍 Every country Google covers: the 125 countries of Google's Trending Now page, one, a few or all of them in a single run.
• 📈 Five time windows: the past hour, 4 hours, 24 hours, 48 hours and 7 days. Each is its own list, as on Google's page.
• 📊 One row per trending search: its place in the list, Google's search volume (such as "200K+"), the rise ("+1,000%"), when it started and, once it has, when it stopped, the searches Google groups under it, its categories and how many news articles Google links to it.
• 🔍 Filters: Google's 19 categories (Sports, Entertainment, Shopping …), only trends that are still active, the top so many per list, and a cap for the whole run.
• 🗂️ Ready for a history: the same trend has the same itemKey in every window and every run, so scheduled runs add up to a timeline of what each country searched for.
• 📦 A run summary that tells empty from failed: for every country and window, whether it was read, had nothing trending, was stopped by a limit you set, or could not be read and why.

🚀 Quick start

1. Pick the Countries, or switch on All 125 countries.
2. Pick the Time windows; the past 24 hours is the default.
3. Run. Each trending search is one row in the dataset.

To keep a history, schedule the run — hourly for the past hour or 4 hours, daily for the past 24 hours — and join the runs on itemKey.

💡 What people use it for

• Content and SEO planning — what people search for today, country by country, while the search is still rising.
• Newsrooms and social teams — the stories breaking in each market, with the searches behind each one and how much news covers it.
• Marketing timing — the rising searches in your own category, such as Shopping or Sports, while they are still active.
• Research and data pipelines — a scheduled, multi-country record of what the world searches for, one row per trend, ready for a database.

📋 Input

Field	Type	Default	What it does
countries	array of country codes	["US"]	The countries to read, as two-letter codes (US, GB, JP …). Google publishes Trending Now for 125 countries; China is not among them.
allCountries	boolean	false	Read all 125 countries, whatever countries says.
windows	array	["24h"]	1h past hour, 4h past 4 hours, 24h past 24 hours, 48h past 48 hours, 7d past 7 days. Each window is its own list.
categories	array of category ids	all	Keep only the trends Google files under one of these categories (ids below).
onlyActive	boolean	false	Keep only the trends that are still rising. Off keeps the ones that have ended too, with their end time.
maxItemsPerList	integer	0	At most this many trends from each country and window, the top ones first. 0 keeps all.
maxItems	integer	0	Stop after this many trends in the whole run. 0 means no limit.
proxy	object	Apify datacenter proxy	Used for every request.

Category ids: 1 Autos and Vehicles, 2 Beauty and Fashion, 3 Business and Finance, 20 Climate, 4 Entertainment, 5 Food and Drink, 6 Games, 7 Health, 8 Hobbies and Leisure, 9 Jobs and Education, 10 Law and Government, 11 Other, 13 Pets and Animals, 14 Politics, 15 Science, 16 Shopping, 17 Sports, 18 Technology, 19 Travel and Transportation.

The active sports and entertainment trends of the past 24 hours in the United States and Germany, the top 5 of each:

{
    "countries": ["US", "DE"],
    "windows": ["24h"],
    "categories": ["17", "4"],
    "onlyActive": true,
    "maxItemsPerList": 5
}

📤 Output

One row per trending search in one country's list. The first of the United States' past 24 hours on 6 October 2026:

{
    "recordType": "trend",
    "platform": "google",
    "list": "trending_now",
    "listKey": "google|trending_now|US|24h|all|2026-10-06T11:04:52.334Z",
    "itemKey": "google|trending_now|US|robert kelker kelly|2026-10-05T17:50:00.000Z",
    "entityId": null,
    "rank": 1,
    "term": "robert kelker kelly",
    "termLanguage": null,
    "kind": "search",
    "category": null,
    "categories": [
        { "id": 4, "name": "Entertainment", "path": [{ "id": 4, "name": "Entertainment" }] }
    ],
    "metrics": [
        { "name": "searchVolume", "value": 200000, "unit": "searches", "label": "200K+", "nullReason": null },
        { "name": "increase", "value": 1000, "unit": "percent", "label": "+1,000%", "nullReason": null },
        { "name": "newsArticles", "value": 6, "unit": "articles", "label": "6", "nullReason": null }
    ],
    "primaryMetric": "searchVolume",
    "startedAt": "2026-10-05T17:50:00.000Z",
    "endedAt": null,
    "related": [
        "days of our lives",
        "bo brady days of our lives",
        "robert kelker-kelly",
        "bo brady",
        "robert kelker kelly cause of death",
        "robert kelker-kelly today",
        "robert kelker"
    ],
    "geo": "US",
    "geoScope": "country",
    "geoRequested": "US",
    "window": "24h",
    "observedAt": "2026-10-06T11:04:52.334Z",
    "url": "https://trends.google.com/trends/explore?date=now+1-d&geo=US&q=robert+kelker+kelly",
    "extra": {
        "searchVolume": "200K+",
        "increase": "+1,000%",
        "categoryNames": ["Entertainment"],
        "active": true,
        "country": "United States"
    }
}

The dataset's Trending searches view shows the same as a table: rank, search, country, window, search volume, rise, start, whether it is active, categories and related searches.

🗂️ Data fields

Field	What it is
recordType	Always trend.
platform, list	google and trending_now.
listKey	The same for every row of one country's list in one window as read in this run; matches an entry of the run summary.
itemKey	The same for the same trend in every window and every run: country, search and start time.
rank	The trend's place in Google's list, 1 first. Filters keep Google's places, so a filtered list may go 1, 4, 9.
term	The search, as Google shows it, in the country's own language and script.
termLanguage	null: Google does not state the language of a search.
kind	Always search.
category	null: Trending Now lists are not asked for by category. The filter keeps rows by categories.
categories	The categories Google files the trend under, each with its id and name.
metrics	searchVolume: Google's volume bucket, a lower bound (200000 is "200K+"). increase: the rise Google shows, in percent. newsArticles: how many news articles Google links to the trend. A number Google does not show is null with its nullReason, never 0.
primaryMetric	searchVolume.
startedAt, endedAt	When the trend started, and when it stopped trending; endedAt is null while it is active.
related	The searches Google groups under the trend, other than the trend itself.
geo, geoRequested, geoScope	The country, as a two-letter code; geoScope is country.
window	1h, 4h, 24h, 48h or 7d.
observedAt	When the list was read.
url	The search's page on Google Trends, over the matching time range.
extra	The same facts as text, for reading at a glance: searchVolume, increase, categoryNames, active, country.

💳 Pricing

Pay per event: one price per trending search stored. A trend in two of the windows you pick is two rows, charged in each. A list that is empty or could not be read costs nothing, nor does a trend your filters leave out, nor the run summary. If Apify restarts a run, the lists it had stored are not stored or charged again.

Event	Free	Starter	Scale	Business and up
Trending search stored, per 1,000	$0.80	$0.70	$0.60	$0.50
Actor start, per run	$0.00005	$0.00005	$0.00005	$0.00005

How many rows to expect, as measured on 6 and 9 October 2026: the United States had 330 to 480 trending searches over 24 hours and 2,100 to 2,500 over 7 days; all 125 countries together had 700 to 1,100 over 4 hours, 4,200 to 8,200 over 24 hours, 8,900 over 48 hours (6 October) and 28,000 to 37,500 over 7 days. The counts move with the day and the hour. Maximum trends per list and Maximum trends in total keep a run to the size you want, and the run's maximum cost caps what it can charge: all 125 countries over 7 days comes to about $30 on the Free plan, so raise the maximum cost for a run that large. A run that reaches it stores what fits and marks the rest not_reached.

⚠️ Limitations

• Search volume is Google's bucket, a lower bound such as "200K+", not an exact count.
• Google has no past-hour list. The past hour is the trends of Google's 4-hour list that started within the hour, so it is short (21 in the United States on 6 October 2026), and its ranks are their places in the 4-hour list.
• The longer lists leave out some small trends of the shorter ones (in Britain the 7-day list had 30 of the 4-hour list's 35 on 5 October 2026), so read every window you need.
• Trending Now reaches back 7 days. For a longer history, schedule the run.
• Small countries often have nothing trending in a short window; the run summary marks those lists empty.
• Google publishes no Trending Now for China, so it is not offered.

❓ FAQ

Is this the same as Google's Trending Now page? Yes: the same lists with the same numbers, as they stood when the run read them. rank is the order Google gives them in, which is not by volume.

Why does the same search appear in several windows? Each window is its own list, and a trend that started two hours ago is in the 4-hour, 24-hour, 48-hour and 7-day lists. Its itemKey is the same in all of them.

How do I follow a trend over time? Schedule the run and join the rows on itemKey: the same trend in the same country keeps it in every run, with its rank, volume and end time as they change.

Do I need a proxy? The default, Apify's datacenter proxy, is enough: our test runs read every list with it. A request Google refuses is sent again from another address.

How long does a run take? One country and one window take a few seconds. All 125 countries over four windows took two to three minutes on Apify in our tests: 41,561 rows over 4 hours, 24 hours, 48 hours and 7 days on 6 October 2026, and 46,890 over the past hour, 4 hours, 24 hours and 7 days on 9 October.

🤖 Use with AI agents

This Actor is callable as a tool by any MCP-capable agent — Claude, Cursor, VS Code — or by your own code, with no wrapper and nothing extra to deploy.

Connect over MCP

https://mcp.apify.com?tools=autofacts/google-trends-trending-now

In a client that reads an mcpServers configuration block:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=autofacts/google-trends-trending-now",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

The agent reads this Actor's parameters and their descriptions straight from the input schema, and the hosted server infers the result field types from the dataset schema — so a model knows what to send and what comes back before it ever calls anything.

Or call the API directly

curl -X POST "https://api.apify.com/v2/acts/autofacts~google-trends-trending-now/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"countries": ["US"], "windows": ["24h"], "proxy": {"useApifyProxy": true}}'

The response body is the dataset rows described above, and nothing else: to tell an empty list from a failure, start the run through /runs instead and read its SUMMARY record.

Run summary — SUMMARY

Every run that gets as far as reading writes a SUMMARY record to its default key-value store, also when a list could not be read. A run stopped by its input writes none, nor does one that is aborted or being restarted by Apify.

GET https://api.apify.com/v2/key-value-stores/{defaultKeyValueStoreId}/records/SUMMARY?token=$APIFY_TOKEN

A run for the United States and Turkmenistan over the past hour and the past 24 hours, 2 trends per list:

{
  "status": "SUCCESS",
  "note": "Everything asked for was read. A list marked `empty` had nothing in it.",
  "itemsStored": 6,
  "lists": [
    {
      "listKey": "google|trending_now|US|1h|all|2026-10-06T11:08:52.978Z",
      "platform": "google",
      "list": "trending_now",
      "geoRequested": "US",
      "geo": "US",
      "geoScope": "country",
      "window": "1h",
      "windowStart": "2026-10-06T10:08:52.978Z",
      "windowEnd": "2026-10-06T11:08:52.978Z",
      "category": null,
      "sourceAsOf": null,
      "observedAt": "2026-10-06T11:08:52.978Z",
      "served": 2,
      "total": 21,
      "filtered": false,
      "status": "ok",
      "reason": "The top 2 of 21 trends: the maximum per list you set.",
      "url": "https://trends.google.com/trending?geo=US&hours=4"
    },
    {
      "listKey": "google|trending_now|TM|1h|all|2026-10-06T11:08:52.978Z",
      "platform": "google",
      "list": "trending_now",
      "geoRequested": "TM",
      "geo": "TM",
      "geoScope": "country",
      "window": "1h",
      "windowStart": "2026-10-06T10:08:52.978Z",
      "windowEnd": "2026-10-06T11:08:52.978Z",
      "category": null,
      "sourceAsOf": null,
      "observedAt": "2026-10-06T11:08:52.978Z",
      "served": 0,
      "total": 0,
      "filtered": false,
      "status": "empty",
      "reason": "No trend started in the past hour.",
      "url": "https://trends.google.com/trending?geo=TM&hours=4"
    },
    {
      "listKey": "google|trending_now|US|24h|all|2026-10-06T11:08:54.285Z",
      "platform": "google",
      "list": "trending_now",
      "geoRequested": "US",
      "geo": "US",
      "geoScope": "country",
      "window": "24h",
      "windowStart": "2026-10-05T11:08:54.285Z",
      "windowEnd": "2026-10-06T11:08:54.285Z",
      "category": null,
      "sourceAsOf": null,
      "observedAt": "2026-10-06T11:08:54.285Z",
      "served": 2,
      "total": 331,
      "filtered": false,
      "status": "ok",
      "reason": "The top 2 of 331 trends: the maximum per list you set.",
      "url": "https://trends.google.com/trending?geo=US&hours=24"
    },
    {
      "listKey": "google|trending_now|TM|24h|all|2026-10-06T11:08:54.285Z",
      "platform": "google",
      "list": "trending_now",
      "geoRequested": "TM",
      "geo": "TM",
      "geoScope": "country",
      "window": "24h",
      "windowStart": "2026-10-05T11:08:54.285Z",
      "windowEnd": "2026-10-06T11:08:54.285Z",
      "category": null,
      "sourceAsOf": null,
      "observedAt": "2026-10-06T11:08:54.285Z",
      "served": 2,
      "total": 5,
      "filtered": false,
      "status": "ok",
      "reason": "The top 2 of 5 trends: the maximum per list you set.",
      "url": "https://trends.google.com/trending?geo=TM&hours=24"
    }
  ],
  "restarted": false,
  "startedAt": "2026-10-06T11:08:52.596Z",
  "finishedAt": "2026-10-06T11:08:56.397Z",
  "extra": {}
}

status	Meaning	What to do
SUCCESS	Every list asked for was read, or stopped by a limit you set	Use the dataset
PARTIAL_RESULTS	Some lists could not be read	Use the dataset; run the rest again later
NO_RESULTS	The same, and nothing was stored	Run again in a few minutes
RUN_FAILED	The run stopped with an error	The rows already in the dataset are valid

Each entry of lists is one country in one window: its listKey (the rows' own), the window with the windowStart and windowEnd it covers and when it was read (observedAt) — all three null for a list that was not read or not stored — the trends stored from it (served) and the trends in Google's list (total; for the past hour, those that started within it), whether your Categories or Only active trends left trends of the list out (filtered), the list's page on Google Trends (url), and its status, with a reason where there is something to say:

status	Meaning
ok	Read. served may be less than total for your filters or limits; reason says which.
empty	Google lists nothing trending there in that window.
not_reached	Not stored: the run had stopped at Maximum trends in total or at the maximum charge you set, or the run was close to its time limit.
failed	Could not be read; reason says why.

stoppedBy, only when the run stopped before reading everything, says why: maxItems, chargeLimit or timeLimit. restarted says whether the run picked up after Apify restarted it; a restarted run does not store a list twice.

🧰 Other Actors by autofacts

Apify only auto-recommends Actors in the same category, so here are the ones that actually pair with this one:

Actor	What it's for
Google Trends	A trend's interest over time, its top and rising related searches and where it is searched most, or the top searches of any of Google's 928 categories
Schema Markup Scraper & SEO Auditor	What the pages that rank for a trending search say about themselves to search engines
YouTube Subtitle & Transcript Scraper	What the videos about a trend say, as clean text
TikTok Transcript & Subtitle Scraper	The same for TikTok videos
Bluesky Scraper	What people post about a trend
Google Ads Scraper	The ads a trending brand runs on Google

All of them: apify.com/autofacts