9 Best Google Scholar Scrapers in 2025 (Updated)
Finding the best Google Scholar scrapers can transform academic research and data collection. These specialized tools help researchers extract citations, abstracts, and metadata from Google Scholar quickly and efficiently.
Web scraping saves countless hours of manual work when gathering scholarly information. Modern web scraping platforms offer powerful features to automate the collection of academic data while staying within Google's usage guidelines.
1. Apify
Apify Google Scholar Scraper stands as a powerful web scraping solution that eliminates the need for a Google Scholar API. This versatile tool lets users extract comprehensive academic data including titles, authors, citations, publication dates, and source details directly from Google Scholar search results.
Pricing: Apify offers a free plan with $5 monthly credits, making it accessible for initial testing and small projects. Paid plans are available for larger scraping needs.
Key features:
- Advanced search filtering by date range and document type
- Export options in multiple formats (JSON, CSV, Excel)
- API integration with Python and Node.js
- Custom webhook support
- Citation and related article extraction
- Real-time data updates
- Automated data collection
- User-friendly interface
- Flexible search parameters
- Built-in proxy management
2. ScraperAPI
ScraperAPI is a powerful web scraping tool designed for collecting data from Google Scholar and other websites. It handles complex challenges like proxy management, browser rendering, and CAPTCHA solving automatically. The API uses advanced algorithms to bypass anti-bot measures and ensures reliable data extraction from scholarly articles and citations.
Pricing: The service starts with a free plan that includes 1,000 API calls. Paid plans begin at $29 per month for 250,000 API calls, with custom enterprise solutions available for larger needs.
Key features:
- Automatic proxy rotation and management
- Built-in CAPTCHA solving capabilities
- JSON structured data extraction
- High success rates for Google Scholar scraping
- Easy integration with multiple programming languages
- Automatic retry system for failed requests
- IP geotargeting options
- Enterprise-grade infrastructure
- 24/7 technical support
- Customizable request headers
3. SerpAPI
SerpAPI is a powerful Google Scholar scraping solution that provides real-time access to search results. The API handles all technical challenges like proxy management and CAPTCHA solving, while delivering structured data from Google Scholar searches in an easy-to-use format.
Pricing: SerpAPI offers a free plan with 100 monthly searches. Paid plans start at $50 per month for 5,000 searches, with custom enterprise options available for larger needs.
Key features:
- Automatic parsing of citations, abstracts, and author information
- JSON output format for easy integration
- Location-specific search results support
- Built-in proxy rotation system
- Advanced error handling and rate limiting
- Real-time data extraction capabilities
- Multiple programming language support through official libraries
- Comprehensive documentation and code examples
- 99.9% uptime guarantee
- Technical support via email and chat
4. Oxylabs
Oxylabs Google Scholar Scraper API is a powerful tool designed specifically for extracting academic data from Google Scholar. The API handles complex processes like proxy rotation, CAPTCHA solving, and JavaScript rendering automatically, making it easy to collect research papers, citations, and scholarly content at scale.
Pricing: Oxylabs offers customized pricing plans based on request volume, starting from $100 per month. The pricing includes access to their extensive proxy network and technical support.
Key features:
- High success rates with automatic retry system
- Real-time data extraction capabilities
- Python integration with detailed documentation
- Advanced parsing for titles, authors, citations, and URLs
- Automatic IP rotation to prevent blocking
- CAPTCHA and JavaScript handling
- Geolocation targeting options
- 24/7 customer support
- 99.9% uptime guarantee
- JSON output format for easy data processing
5. MahdiNavaei
MahdiNavaei Google Scholar Scraper is a Python-based program designed to extract academic articles from Google Scholar. This tool lets users search and collect article data using titles or keywords. The scraper provides a straightforward way to gather research information for academic purposes.
Pricing: The tool is free to use and open-source, available through GitHub under standard open-source licensing terms.
Key features:
- Article extraction based on titles or keywords
- Python-based implementation for easy integration
- Simple and direct interface for academic research
- Ability to collect article metadata
- Open-source code with community support
- Compatible with standard Python environments
6. Octoparse
Octoparse is a powerful web scraping tool that lets users extract data from Google Scholar without writing code. The platform uses a visual interface where users can point and click to select the data they want to collect, making it accessible for beginners and non-technical users.
The tool comes with ready-made templates specifically designed for Google Scholar data extraction. Users can gather article titles, author names, descriptions, and other academic information with just a few clicks.
Pricing: The software offers a free plan for basic scraping needs. Paid plans start at $75 per month, which includes more advanced features and higher extraction limits.
Key features:
- No-code visual interface for easy data selection
- Pre-built template for Google Scholar scraping
- AI-powered auto-detection of data elements
- Automated scheduling of scraping tasks
- Export options to multiple formats
- Cloud-based extraction capability
- Built-in IP rotation to avoid blocks
- Support for handling dynamic web pages
7. scholarly Python Library
scholarly Python Library is a free and open-source package that lets developers extract data from Google Scholar without dealing with CAPTCHAs. The library provides a user-friendly way to access author profiles, publication information, and citation data through simple Python commands. It handles the complexity of making requests and parsing responses from Google Scholar automatically.
Pricing: The scholarly Python package is completely free to use and available under an open-source license. There are no usage fees or subscription costs.
Key features:
- Retrieves author profiles, including h-index, citations, and publication lists
- Searches for academic papers and extracts their metadata
- Gets citation counts and bibliographic information
- Handles search result pagination automatically
- Provides built-in rate limiting to avoid getting blocked
- Works without requiring API keys or authentication
- Includes proxy support for larger-scale scraping needs
- Delivers data in clean Python objects ready for analysis
8. Scrape-Helper Toolset
Scrape-Helper Toolset is a lightweight and efficient tool designed specifically for Google Scholar data extraction. The tool offers a simplified interface that helps users gather academic research data, citations, and scholarly articles without complex coding. It uses smart proxy rotation and request handling to avoid getting blocked while scraping.
Pricing: The basic plan starts at $49 per month with 1,000 requests included. A free trial is available for testing the features before purchase.
Key features:
- Built-in proxy management system
- User-friendly point-and-click interface
- Export options in CSV, JSON, and Excel formats
- Automatic citation parsing
- Custom search filters and parameters
- Rate limiting protection
- API access for integration
- Multi-language support
- Regular updates to maintain compatibility
- 24/7 technical support
9. Google Search Results Extractor
The Google Search scraper is a powerful tool designed for extracting structured data from Google Search Results Pages (SERPs). It transforms unstructured search results into organized formats like JSON, XML, CSV, or Excel, making it ideal for researchers and businesses who need to analyze search data systematically.
Pricing: The service operates on a credit-based system through the Apify platform. Users can access basic features with a free plan, while paid plans start at $49 per month for increased usage limits and advanced features.
Key features:
- Automatic handling of CAPTCHAs and IP rotation
- Multiple output formats including JSON, CSV, and Excel
- Support for multiple languages and regions
- Advanced filtering options for specific SERP elements
- Real-time data extraction capabilities
- Customizable search parameters
- Ability to extract featured snippets and knowledge graphs
- Support for mobile and desktop search results
Conclusion
After reviewing all the options, the best Google Scholar Scraper is Apify because it offers comprehensive data extraction features, reliable performance, and excellent customization options. Its ability to extract detailed publication metadata, support multiple export formats, and provide flexible search parameters makes it stand out among competitors.