9 Best Google Trends Scrapers in 2025 (Updated)
The best Google Trends scrapers help businesses and researchers gather valuable data about search trends and consumer interests. Using automated tools to extract Google Trends data can reveal crucial market insights and help make data-driven decisions about content, products, and marketing strategies.
Modern web scraping platforms make it simple to collect trend data without complex coding. These tools range from basic browser extensions to advanced APIs that can handle large-scale data extraction. The right scraper can transform raw Google Trends information into actionable business intelligence within minutes.
1. Apify
Google Trends Scraper stands out as a powerful tool for extracting valuable insights from Google Trends data. This automated solution enables users to gather search term popularity, regional interest data, and related queries in structured formats like JSON, CSV, XML, or Excel. The tool's user-friendly interface makes it accessible for both beginners and experienced data analysts who need quick access to trend information.
Pricing: The tool operates on Apify's platform with a flexible pricing structure based on usage. Users can start with a free trial to test the functionality before committing to a paid plan.
Key features:
- Extracts interest data by city and subregion
- Provides detailed timeline analysis of search term popularity
- Captures rising and top related queries
- Delivers results in multiple export formats
- Supports custom date range selection
- Offers real-time data processing
- Includes automated data collection schedules
- Provides comprehensive geographic trend analysis
- Enables multiple search term comparison
2. PyTrends
PyTrends is an unofficial Python library that provides a simple way to access and download data from Google Trends. The library acts as a wrapper around Google Trends' API, making it easy for developers and data analysts to automate the process of gathering trend data without manual interaction with the Google Trends website.
Pricing: PyTrends is completely free to use and open-source. There are no subscription fees or usage limits imposed by the library itself, though Google's standard rate limiting still applies.
Key features:
- Easy connection setup with Google's services
- Support for multiple search terms and comparison
- Ability to get real-time trending topics
- Geographic and time-based filtering options
- Data export in pandas DataFrame format
- Interest over time analysis capabilities
- Interest by region data collection
- Related topics and queries extraction
- Multiple language support
- Historical data access
3. Outscraper
Outscraper is a powerful data extraction tool that specializes in gathering insights from Google Trends. The platform offers an automated solution for collecting trend data, search volume patterns, and regional interest information. It works through a straightforward API that lets users pull data efficiently without dealing with complex coding or manual searches.
Pricing: Outscraper operates on a credit-based system starting at $49 per month for basic access. Each Google Trends data extraction consumes credits based on the amount of data retrieved, making it flexible for both small and large-scale needs.
Key features:
- Real-time data extraction from Google Trends
- Historical search trend analysis capabilities
- Regional interest comparison data
- Related topics and queries extraction
- Automated bulk data collection
- Easy-to-use REST API integration
- Export options in multiple formats
- Rate limiting protection
- Regular data updates
4. Axiom.ai
Axiom.ai is a no-code automation tool that lets you collect data from Google Trends through browser-based automation. The platform works by creating automated workflows that can track, scrape, and export Google Trends data without writing any code. Users can set up recurring tasks to monitor trend changes and automatically save the results.
Pricing: Free trial available for testing basic features. Paid plans start at $29 per month for individual users, with team and enterprise options available for larger organizations.
Key features:
- No-code visual automation builder for creating Google Trends scraping workflows
- Ability to export data directly to spreadsheets and other file formats
- Scheduled automated tracking of multiple search terms
- Browser-based operation that works with any Google Trends page
- Built-in data export tools for organizing collected information
- Simple point-and-click interface for setting up automations
- Cloud storage for saving scraped trend data
- Compatible with most modern web browsers
5. Bright Data
Bright Data's SERP API provides real-time access to Google Trends data through a reliable and scalable interface. The service delivers detailed insights about search trends, including regional variations, related topics, and temporal patterns in search behavior.
Pricing: Plans start at $500 per month with pay-as-you-go options available. Custom enterprise pricing is offered for large-scale data collection needs with volume discounts.
Key features:
- Real-time Google Trends data extraction from multiple regions
- Historical trend analysis capabilities going back several years
- Support for multiple data formats including JSON and CSV
- Advanced filtering options for specific time periods and locations
- Automatic proxy rotation to prevent IP blocks
- High success rates with 99.9% uptime guarantee
- Rate limiting protection
- Simple REST API integration
- Comprehensive documentation and technical support
- Compliant with Google's terms of service
6. Scrapfly
Scrapfly offers a Python-based solution for extracting data from Google Trends. It provides developers with reliable tools to gather search interest data, trending topics, and regional popularity metrics through automated web scraping.
Pricing: Scrapfly uses a credit-based system where users pay for successful requests. The platform offers various subscription tiers starting with a free trial that includes basic scraping capabilities.
Key features:
- Python SDK integration for seamless Google Trends data collection
- Built-in proxy rotation to avoid rate limiting
- Automatic handling of JavaScript rendering
- Support for multiple data formats including JSON and CSV
- Customizable search parameters for specific time ranges and regions
- Anti-bot detection mechanisms
- Real-time data extraction capabilities
- Automatic retry mechanisms for failed requests
7. Selenium-based
The Google Trend scraper is a Python-based tool that uses Selenium WebDriver to extract data from Google Trends automatically. It helps users collect trend data for specific keywords across different time ranges and regions without manual intervention.
Pricing: Free and open-source. Users can download and use the code without any charges since it's hosted on GitHub under an open license.
Key features:
- Automated data collection for multiple keywords
- Custom time range and region selection options
- Data export capabilities for analysis
- Built on reliable Selenium automation framework
- Support for hourly and daily trend data collection
- Easy integration with other Python scripts
- Regular community updates and improvements
- Compatible with major operating systems
8. Scrapeless
Scrapeless Google Trends Scraper is a specialized tool designed to extract data from Google Trends efficiently and reliably. The scraper uses advanced technology to bypass anti-bot systems while maintaining high-speed performance and data accuracy. It offers a user-friendly interface that makes it easy to gather trend data without coding knowledge.
Pricing: The service offers flexible pricing plans with a free trial period for testing. Exact pricing details need to be requested through their website as they provide custom solutions based on usage requirements.
Key features:
- Fast and reliable data extraction from Google Trends
- Built-in anti-bot detection bypass capabilities
- Custom filters for specific data collection needs
- User-friendly interface requiring no coding skills
- Support for multiple data formats
- Real-time data scraping capabilities
- High success rate for data collection
- Automated scheduling options
- Regular updates to maintain compatibility
9. WebDataGuru
WebDataGuru's detailed trends insights scraper is a powerful Python-based tool designed to extract comprehensive data from Google Trends. It focuses on gathering detailed search interest patterns, related topics, and geographic data distribution across multiple regions and time periods.
Pricing: The tool offers a free basic version with limited daily requests, while the premium version starts at $49 per month with 10,000 monthly requests and advanced features.
Key features:
- Real-time data extraction from Google Trends graphs and charts
- Custom date range selection for historical trend analysis
- Geographic filtering options for regional search data
- Export capabilities in multiple formats (CSV, JSON, Excel)
- Support for multiple keywords comparison
- Automated data collection at scheduled intervals
- Built-in data cleaning and normalization
- API access for seamless integration
- Rate limiting protection to avoid IP blocks
- Detailed documentation and technical support
Conclusion
After reviewing all the options, the best Google Trends Scraper is Apify because of its user-friendly interface, extensive data extraction capabilities, and flexible output formats. It offers comprehensive trend analysis features, including regional interest tracking, related topics discovery, and historical data collection - all without requiring coding knowledge.