Google Trending Now

Get the searches that are trending on Google right now in any country, with approximate search volume and the news stories driving each trend.

The data comes from Google's public "Trending now" RSS feed, so runs are fast, cheap and don't need proxies.

Unlike a plain feed reader, this Actor remembers what it has seen between runs. Every trend comes with whether it's new, how long it has been trending and how its search volume has moved since the last run. Schedule it and you get a running history of trends, which the feed itself doesn't provide.

What you get

One row per trending search:

Field	Example
country	US
rank	1
query	saquon barkley trade rumors giants eagles
approxTraffic	500+
approxTrafficMin	500 (number, handy for sorting)
publishedAt	2026-10-26T10:10:00-07:00
picture, pictureSource	Thumbnail and its publisher
newsCount, topNewsTitle, topNewsSource	Headline story at a glance
news	All linked articles: title, source, URL, picture
exploreUrl	Link to the term in Google Trends Explore
isNew	true the first time a trend is seen
firstSeenAt, hoursTrending	When it first appeared and how long it has been on the list
timesSeen	How many runs it has appeared in
previousTrafficMin, trafficChange	Search volume at the last run and the change since
peakTrafficMin	Highest volume seen so far

Sample run (US, October 2026)

Rank	Search	Approx. searches	New?	Hours trending	Top story
1	bunny shaw	500+	yes	0.0	Manchester City FC
2	kevin zeitler	500+	yes	0.0	Yahoo Sports
3	eli stowers	500+	yes	0.0	NBC Sports

One row as JSON (news list shortened):

{
  "country": "US",
  "rank": 1,
  "query": "bunny shaw",
  "approxTraffic": "500+",
  "approxTrafficMin": 500,
  "publishedAt": "2026-10-26T13:40:00-07:00",
  "newsCount": 3,
  "topNewsTitle": "Bunny is working hard on all aspects of her game – Jeglertz",
  "topNewsSource": "Manchester City FC",
  "news": [{ "title": "…", "source": "…", "url": "…", "picture": "…" }],
  "isNew": true,
  "hoursTrending": 0.0,
  "timesSeen": 1,
  "previousTrafficMin": null,
  "trafficChange": null,
  "peakTrafficMin": 500
}

On later runs a returning trend shows isNew: false, a growing hoursTrending, and trafficChange (for example 1500 when it climbs from 500+ to 2K+).

Download results as CSV, Excel, JSON or XML, or fetch them through the Apify API.

Input

Field	Description
Countries	Two-letter codes such as US, GB, DE, IN, BR, or ALL for ~60 major countries. Unsupported codes are skipped with a warning.
Only new trends	Save only trends not seen in earlier runs.
Minimum searches	Skip trends below this volume, e.g. 1000.
Include news articles	Adds the full news list to every row.
Max trends per country	Optional cap.
History name	Which saved history to use. Give each schedule its own name to track separately.
Forget trends after (days)	Trends unseen this long are forgotten and count as new if they return. Default 7.

Recipes

• Breaking-trend alerts: schedule hourly with Only new trends on and Minimum searches 10000, then connect the Slack or email integration in Apify Console. You're pinged only about big new trends.
• Daily digest: schedule once a day with Countries set to the markets you care about and send the dataset to Google Sheets.
• Trend research: run every few hours with Only new trends off. hoursTrending and peakTrafficMin show which topics last and which fade fast.

Use cases

• Spot breaking topics for content, newsletters and social posts
• Feed a trends digest into Slack, Google Sheets or an AI agent
• Compare what's trending across countries

Want to know which trends are real? Cross-Platform Trends checks each Google trend against Wikipedia, Bluesky and YouTube and keeps only the topics trending on several platforms at once.

Notes

• History is kept in a named key-value store in your account, so it survives between runs. Two runs using the same history name at the same time can overwrite each other's updates, so give overlapping schedules different names.
• Tracking covers every trend the feed returns, even ones filtered out of the results, so history stays complete whatever filters you use.
• If Google asks the Actor to slow down, it waits and retries a few times, then skips that country and moves on.

Run locally

$python -m src

Input is read from storage/key_value_stores/default/INPUT.json; results land in storage/datasets/default/.