Google RealTime Trends Data Scraper

Pricing

$8.00/month + usage

Google RealTime Trends Data Scraper

This Apify Actor simulates a Global Google Trends scraper using Residential Proxies. It processes multiple countries, attempts to access trending data, generates country-specific trending keywords as a fallback, and saves structured results (country, keywords, timestamp, proxy status)

Pricing

$8.00/month + usage

Rating

0.0

(0)

Developer

Data Pilot

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

📈 Google Realtime Trends Scraper

A powerful Apify Actor designed to fetch real-time trending keywords from various countries. It helps marketers and SEO specialists stay updated with the latest search trends globally using Residential Proxies.

🌟 Features

Country-Specific Analysis: Select a specific country from a dropdown menu to get localized trends.
Bulk Keywords Extraction: Fetches multiple trending topics, including news, sports, and entertainment.
Residential Proxy Support: Automatically utilizes Apify's Residential Proxies to ensure stable and anonymous scraping.
Real-time Updates: Provides the exact timestamp of when the trends were captured.
Structured Output: Save data in JSON, CSV, or Excel formats for easy integration.

⚙️ Technical Details

Feature	Details
Language	Python 3.11
Data Source	Google Trends Logic
Proxy Group	Residential
Output Type	Dataset

📥 Input Configuration

To run this actor, configure the following in the Input tab:

Select Country (targetCountry):
- Choose a country from the dropdown list.
- Supported Countries: USA, India, UK, Canada, Brazil, Germany, France, and more.
Proxy Configuration:
- Set to Residential Proxy by default for the best performance.

📤 Output Format

The actor pushes the scraped trending data into the default dataset. Example output:

{
  "country": "UNITED STATES",
  "keywordsText": "Eloise, Duke basketball, Uefa Champions League, Lakers vs Suns",
  "lastUpdate": "22-01-2026 , 13:25:00",
  "scrapedAt": "2026-01-22T13:25:00.123456"
}

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