Google Trends Daily Scraper API avatar

Google Trends Daily Scraper API

Pricing

from $4.00 / 1,000 results

Go to Apify Store
Google Trends Daily Scraper API

Google Trends Daily Scraper API

Get daily Google trending searches (RSS) and interest-over-time timelines for keywords. For SEO, content and market research. Pay per result.

Pricing

from $4.00 / 1,000 results

Rating

0.0

(0)

Developer

Technical Dost Solutions

Technical Dost Solutions

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

6 days ago

Last modified

Categories

Share

Google Trends Scraper

Discover what people are searching for now and measure 12 months of demand for any topic. Google Trends Scraper exports structured trend data for SEO research, content planning, campaign timing, market analysis, and competitor monitoring.

The Actor uses Google Trends' free public RSS and web endpoints. It requires no API key, paid proxy, or third-party data subscription.

What it does

  • daily_trending returns the latest trending searches for a country, including rank, approximate traffic, publication time, and related news coverage.
  • interest_over_time returns weekly Google Trends interest points and the average interest score for each requested keyword over the last 12 months.
  • Every result is stored as its own dataset item, ready for JSON, CSV, Excel, or API export.

Input

FieldTypeRequiredDefaultDescription
modestringNodaily_trendingdaily_trending or interest_over_time.
geostringNoUSGoogle Trends geographic code, such as US, GB, IN, or DE.
keywordsstring[]No["ai", "bitcoin"]Topics used only by interest_over_time.
languagestringNoenGoogle Trends interface language code.

Daily trends example:

{
"mode": "daily_trending",
"geo": "US",
"language": "en"
}

Interest-over-time example:

{
"mode": "interest_over_time",
"geo": "US",
"keywords": ["ai", "bitcoin"],
"language": "en"
}

Output

A daily trending result looks like this:

{
"rank": 1,
"title": "example trending search",
"approxTraffic": "10000+",
"publishedAt": "2026-07-16T19:00:00.000Z",
"relatedNews": [
{
"title": "Example related headline",
"url": "https://example.com/article",
"source": "Example News"
}
],
"geo": "US"
}

An interest-over-time result looks like this:

{
"keyword": "ai",
"geo": "US",
"points": [
{
"date": "2025-07-20T00:00:00.000Z",
"value": 62
}
],
"averageValue": 71
}

Interest values use Google's normalized 0–100 scale: 100 is the topic's peak popularity for the selected location and period, while 50 means half the relative search interest.

Run locally

Use Node.js 20 or newer:

npm install
npm start

To provide local input, save JSON to storage/key_value_stores/default/INPUT.json. Results are written to storage/datasets/default/.

Reliability and cost

Requests use timeouts, retries with backoff, and a maximum concurrency of five. A failed keyword does not stop other keywords from being processed. The Actor uses only free public Google Trends sources and charges one pay-per-event result event for each successfully stored dataset item.