CyberMax-tools/swellmeter-google-trending-searches

Swellmeter: what is trending on Google right now, in 30 countries

Today's trending searches plus 30 days of history, by API: $5 for 1,500 calls. Buy now → · API key on screen the moment checkout ends · no subscription · 14-day refund if it doesn't work as described · help: cybermax.tools@gmail.com

Need it fresh, filtered or via API? This free file is a snapshot (Google trending searches at the last refresh), last updated 2026-10-03.

• Swellmeter Trending API (50 free calls a day, $5 for 1,500 (no expiry), or $19/month for 6,000): gives you Google's trending searches for 30 countries as they happen plus what the feed forgets: every topic of the day with first seen and peak traffic, 30 days of history, cross-country topics and a topic search, by REST API or MCP.
• Swellmeter on Apify ($0.003 per keyword analyzed): checks Google Trends direction for your own keywords with a plain rising/falling verdict, daily if scheduled; failed lookups are free and Apify's free $5 monthly credit covers about 1,600 keywords.
• Keyfern on Apify ($0.001 per keyword idea): gets keyword ideas and questions for your own seeds from 5 search engines, deduped and tagged with intent; Apify's free $5 monthly credit covers about 5,000 ideas.
• Using it at work? Commercial license + support (from $49/year): invoice, PDF licence certificate, named support, freshness and availability commitments and an SLA; the data stays free and open for everyone.
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• CyberMax Store: every CyberMax data product, API plan and weekly brief in one place.

A daily snapshot of Google Trends' "Trending now" list for 30 countries: each trending search, its approximate traffic bucket, when it started trending, and the news articles Google attached to it. One Parquet file per day (data/trending-YYYY-MM-DD.parquet), so a history of what the world searched for builds up over time. Google's own feed only shows what is trending now; this dataset keeps it.

Countries: US, GB, CA, AU, IN, DE, FR, ES, IT, NL, BR, MX, JP, KR, ID, PH, NG, ZA, SE, PL, TR, SG, IE, NZ, AR, CL, CO, PT, BE, AT.

First snapshot: 2026-09-24 17:39 UTC

From meta.json:

• 300 rows (30 of 30 countries fetched, 10 trending searches each), 269 distinct queries.
• 296 rows carry at least one news article; 877 news links in total.
• Traffic buckets: 500,000+ (1), 200,000+ (1), 20,000+ (8), 10,000+ (9), 5,000+ (24), 2,000+ (55), 1,000+ (71), 500+ (68), 200+ (45), 100+ (18).
• Largest buckets: "weather tomorrow" (IN, 500,000+) and "कल का मौसम" (IN, 200,000+).
• Trending in the most countries at once (same query text): "andorra vs malta" (5: ID, MX, NG, US, ZA), "dr congo vs equatorial guinea" (5: CA, IE, IN, NG, ZA), then "alexandra eala", "nations league" and "sri lanka vs england" (4 each). The same football match often trends under different spellings per language ("japan vs uruguay" in AU/CA/SG, "japón - uruguay" in AR/CL/CO).

Example rows (news truncated to the first article):

geo	rank	query	approx_traffic	pub_date (UTC)	first news source
US	2	wind advisory	10000+	2026-09-24T17:00:00Z	The New York Times
IN	6	weather tomorrow	500000+	2026-09-24T15:30:00Z	The Hindu
JP	1	パイレーツ 対 カージナルス	1000+	2026-09-24T17:10:00Z	ｄメニューニュース
DE	2	six flags magic mountain	500+	2026-09-24T17:10:00Z	The Guardian

Use it

from datasets import load_dataset
df = load_dataset("CyberMax-tools/swellmeter-google-trending-searches", split="train").to_pandas()

today = df[df.snapshot_date == df.snapshot_date.max()]
print(today.sort_values("traffic_min", ascending=False)[["geo", "query", "approx_traffic"]].head(20))

# Queries trending in several countries on the same day
multi = today.assign(q=today["query"].str.lower()).groupby("q").geo.nunique().sort_values(ascending=False)
print(multi.head(10))

DuckDB: SELECT geo, query, approx_traffic FROM 'hf://datasets/CyberMax-tools/swellmeter-google-trending-searches/data/trending-*.parquet' ORDER BY traffic_min DESC LIMIT 20.

latest.csv holds the newest day as a flat CSV (first news article only) for spreadsheets.

Columns

column	type	meaning
snapshot_date	string	UTC date of the snapshot (YYYY-MM-DD)
fetched_at	string	UTC time the feeds were fetched
geo	string	ISO 3166-1 alpha-2 country code
rank	int	position in that country's feed (Google orders by recency, not by traffic)
query	string	the trending search, as Google shows it (local language)
approx_traffic	string	Google's raw bucket, e.g. 2000+
traffic_min	int	the bucket as an integer lower bound (2000+ → 2000)
pub_date	string	when the search started trending (UTC ISO 8601)
picture_source	string	publisher of the thumbnail Google shows, if any
news_count	int	number of attached news articles
news	list of struct	attached articles: title, url, source

Use cases

• Trend spotting and content calendars: see what each market is searching today, and which topics cross borders.
• News and SEO: each query comes with the articles Google linked to it, so you can see which publishers get surfaced.
• Research and training data: multilingual short queries paired with news headlines, for topic classification, event detection or query-to-news matching; daily files give a time series of what trends and for how long.

Limits

• Google's feed lists only a handful of currently trending searches per country (10 per country in this snapshot), not all searches.
• approx_traffic is a coarse bucketed lower bound set by Google, not search volume, and buckets are not comparable to Google Trends' 0–100 interest index.
• One fetch per day from one location; a topic that trends and fades between snapshots is missed.
• Query matching across countries is exact text, so translations and spellings of the same event count separately.

For a specific keyword's interest over time, related and rising queries, and regional breakdown, use Swellmeter ($0.003 per keyword, pay per result, MCP-callable).

Licence and source

Trending topics come from Google Trends' public "Trending now" RSS feed (https://trends.google.com/trending/rss?geo=<GEO>); news titles and links point to their publishers, who own that content. Compiled by CyberMax; the compilation is shared for research and reference. Not affiliated with or endorsed by Google.

Also from CyberMax

• Rising Google searches in AI & tech: free demo of Swellmeter's 12-month trend direction and breakout queries.
• Swellmeter for your own keywords, from an agent: add https://mcp.apify.com/?tools=cybermax/google-trends as an MCP server, or call the Actor directly.

More free from CyberMax

• All free CyberMax demos & datasets
• Swellmeter: Rising Google Searches in AI & Tech
• Pingroll: MCP Server Uptime (daily)

Quickstart notebook

Load this dataset with pandas and see real outputs in the quickstart notebook. Need it refreshed for your own list? Google Trends Scraper & API: Rising or Falling — Swellmeter.