Google Trends Scraper

What does Google Trends Scraper do?

Scrape Google Trends data for any search terms. Extracts interest over time, regional interest, related topics, and rising queries. It runs on the Apify platform and delivers structured data in JSON, CSV, or Excel format, ready for analysis, integration, or automation workflows. Google Trends Scraper handles pagination, retries, and proxy rotation automatically so you can focus on using the data.

Why use Google Trends Scraper?

• No coding required — configure inputs in a simple web UI and click Start
• Export anywhere — download results as JSON, CSV, or Excel, or connect via API
• Scheduled runs — set up recurring scrapes to keep your data fresh (hourly, daily, weekly)
• Scalable — process hundreds or thousands of items with automatic proxy rotation and retry logic
• Integrations — connect to Google Sheets, Slack, Zapier, Make, webhooks, and more through the Apify platform

How to use Google Trends Scraper

1. Navigate to the Google Trends Scraper page on Apify Store and click Try for free
2. Configure your input parameters (see Input Configuration below)
3. Click Start and wait for the run to complete
4. View results in the Output tab — use the formatted table or switch to raw JSON
5. Download your data as JSON, CSV, or Excel, or access it via the Apify API

Input configuration

Field	Type	Description	Default
Search Terms	array	List of search terms to look up on Google Trends.	['artificial intelligence', 'machine learning']
Country Code	string	ISO 3166-1 alpha-2 country code for regional filtering (e.g., 'US', 'GB', 'DE')....
Time Range	string	Time range for trends data.	today 12-m
Category	integer	Google Trends category ID (0 = All categories, 3 = Arts & Entertainment, 5 = Com...	0
Max Results	integer	Maximum number of search terms to process.	20
Use Residential Proxy	boolean	Enable residential proxies for better success rates. Recommended for large-scale...	False

Output data

The actor stores results in a dataset. Each item in the dataset represents one extracted record with structured fields. You can preview the data in the Output tab's formatted table view.

Key output fields include: Source URL, Time Range, Scraped At, Interest Over Time, Search Term.

Example output:

{
  "sourceUrl": "https://example.com/sourceurl",
  "timeRange": "2026-01-15T10:30:00Z",
  "scrapedAt": "Example Scraped At",
  "interestOverTime": "2026-01-15T10:30:00Z",
  "searchTerm": "Example Search Term",
  "geo": "Example Geo"
}

Each run also produces an execution log with detailed information about pages processed, items extracted, and any errors encountered.

Cost of usage

Google Trends Scraper uses Pay-Per-Event pricing (Mid tier). Each successfully extracted result costs approximately $0.0008 ($0.75 per 1,000 results).

On a free Apify plan ($5/month platform credit), you can extract approximately 6,666 results per month.

Example: Extracting 1,000 results would cost approximately $0.75.

Tips and advanced usage

• Proxy configuration: This actor uses a headless browser. For sites with anti-bot protection, enable residential proxies in the input configuration for better success rates.
• Large datasets: For runs with thousands of results, increase the memory allocation in Run Options to speed up processing. The actor automatically manages request queues and pagination.
• Scheduled runs: Use Apify Schedules to run this actor on a recurring basis. Combined with integrations (webhooks, Google Sheets, Slack), you can build automated data pipelines that keep your datasets up to date.
• API access: Every dataset is accessible via the Apify API. Use the REST API or official Python/JavaScript clients to integrate results directly into your applications.

Useful Links

• Google Trends
• Apify Proxy

Related Actors:

• Bing Search Scraper

• Google Shopping Scraper

• More actors by consummate_mandala

• GitHub