Google Trends Scraper

Overview

This actor automates the extraction of search trend data from Google Trends. It pulls real-time and historical data—including interest over time, regional popularity, related queries, and topics—without manual browsing. It's built for developers, SEO professionals, and data analysts who need structured trend data for dashboards, content planning, or competitive research.

Key Features

• Automated Trend Extraction: Fetches interest over time, interest by region, related queries, and related topics.
• Bulk Keyword Processing: Submit and analyze hundreds of keywords in a single run.
• Scheduled Runs: Configure the actor for regular, automated data collection.
• API & Integration Support: Use the Apify API or Python for programmatic control. The actor is also available on GitHub.
• Flexible Exports: Results are available in JSON, CSV, and Excel formats.
• Multi-Region & Category Support: Specify geographic regions and content categories for your searches.
• Public Data Only: Scrapes only publicly accessible trend information.

How to Use

1. Log in to Apify: Create an account or sign in at Apify Console.
2. Find the Actor: Search for "Google Trends Scraper" in the Apify store.
3. Configure Input: Provide your keywords and parameters (see Input section below).
4. Run the Actor: Start the scraper. It will process your request and collect the data.
5. Get Results: Download your dataset in your preferred format from the actor's run output.

Input

Configure the scraper using an input object. Here are the primary parameters:

{
  "keywords": ["keyword1", "keyword2"],
  "timeframe": "today 12-m",
  "geo": "US",
  "category": 0,
  "comparisonMode": false
}

• keywords (Array, required): List of search terms to analyze.
• timeframe (String): Date range (e.g., "today 12-m", "2023-01-01 2023-12-31"). Defaults to the last 12 months.
• geo (String): Geographic region code (e.g., "US", "GB"). Use an empty string "" for worldwide.
• category (Number): Google Trends category ID. 0 is for all categories.
• comparisonMode (Boolean): When true, fetches data for comparing multiple keywords directly.

Output

The actor outputs a dataset containing structured trend data. Each item in the dataset corresponds to a data type for your keywords. The output includes:

• Interest Over Time: Historical trend values with timestamps.
• Interest by Region: Popularity breakdown by country, state, or metro area.
• Related Queries & Topics: Lists of top and rising associated terms and topics.
• Real-Time Trends: Currently trending search topics (when applicable).
• Comparison Data: Normalized values for side-by-side keyword analysis (if comparisonMode is enabled).

You can access the results via the Apify API, download them directly from the console, or integrate them into data pipelines.