Google Trending Now Scraper – Trending Searches by Country

codemaster devops · @codemasterdevops

Get current Google trending searches, approximate search traffic, and news links. Monitor up to 10 countries per run without a Google API key.

About

What does Google Trending Now Scraper do?

Google Trending Now Scraper collects current trending search topics by country from Google's public Trending Now RSS feed. Save trending searches, approximate search traffic, publication times, and available news links to a structured dataset.

Use it to spot emerging topics for SEO and content planning, follow developing news, or collect regular snapshots of search interest in a market.

What Google Trends data can you extract?

  • Trending search topic — the query or topic label published by Google.
  • Country — the country code used to request the feed.
  • Publication time — the feed timestamp in UTC.
  • Approximate search traffic — Google's estimate when available. A value shown with a plus sign represents a lower bound.
  • Google Trends Explore link — a link to explore the topic further.
  • Linked news articles — available headlines, URLs, publishers, snippets, and images.

How to use Google Trending Now Scraper

  1. Select a country in geo, such as US, IN, or GB.
  2. Choose an outputMode.
  3. Set maxItems to the maximum number of rows to save.
  4. Start the actor. Open the dataset when the run finishes or download the JSON export.
Example input
{
  "geo": "US",
  "outputMode": "complete",
  "maxItems": 10
}
Output modes
  • complete saves one row per trending topic with any linked articles nested in the row.
  • queries saves one row per trending topic without nested article data.
  • articles saves one row per available article and includes the parent trend for context.
Example result

This illustrative excerpt shows a few fields from a topic row.

{
  "query": "example trending topic",
  "geo": "US",
  "date": "2026-11-05T10:40:00.000Z",
  "formattedTraffic": 20000,
  "articles": []
}

What are the limits?

The actor captures the current feed snapshot. Historical date ranges and search-interest timelines for arbitrary keywords are outside its coverage. Google controls which topics, traffic estimates, and linked articles appear. maxItems is a cap, so a run can return fewer rows.

No separate Google API key is required. For a history of snapshots, run the actor periodically and retain each dataset.

FAQ

What does Google Trending Now Scraper collect?
It collects current Google trending searches for a selected country, including topic names, publication times, approximate traffic, and available news articles.
Can I collect trends for a specific country?
Yes. Select a country from the input dropdown or set geo to a supported country code, such as US, IN, or GB.
Which output mode should I choose?
Use complete for one row per trend with nested articles, queries for a list of trending topics, or articles for one row per linked news article.
Does the actor require a Google API key?
No. It reads Google's public Trending Now RSS feed directly.
What does an approximate traffic value mean?
It reflects the estimate published in the feed. When Google displays a value such as 20K+, treat it as a lower bound rather than an exact search count.
Will I always receive the number of rows set in maxItems?
No. maxItems limits saved rows. Google may return fewer topics, and article mode depends on how many linked articles the feed contains.
Can I retrieve historical trends or check a keyword’s interest over time?
The actor captures the current Trending Now snapshot. To build your own history, run it periodically and save each dataset.
Why do some topics have no linked articles?
Google decides which articles to include in the feed. A topic can appear without linked articles, and article fields can vary.
Can I download the data for analysis?
Yes. Open the run dataset and download the JSON export. Use queries for a flat list of topics or articles for individual news links.
Does the monthly rental include compute?
The rental covers access to the actor. Bytewells compute is billed separately.

More Actors from the same publisher.

View all from @codemasterdevops