Harvard Catalyst Profiles Scraper Extract comprehensive researcher profiles from the Harvard Catalyst Profiles directory, including contact information, research interests, and recent publications. ## What This Actor Does This Actor collects detailed information about researchers from the Harvard Catalyst Profiles directory. Simply provide your search criteria, and it will automatically: 1. Search for researchers matching your keywords and filters 2. Collect complete profile information for each researcher Perfect for: - Academic research collaboration discovery - Building researcher databases - Analyzing institutional expertise - Finding subject matter experts ## Input Parameters - Search Keywords - Terms to search for in profiles (e.g., "cancer research", "neuroscience") - Department - Filter results by specific department (optional) - Institution - Filter results by institution name (optional) - Maximum Items - Number of profiles to collect (50-30000, default: 50) - Small runs (1-100): 10-30 minutes, ideal for testing - Medium runs (100-1000): 30 minutes - 5 hours, balanced approach - Large runs (1000-10000): 5-50 hours, comprehensive collection - Extra large runs (10000-30000): 50-150 hours (2-6 days), complete datasets Note: For complete datasets (25,000+ profiles), use empty search keywords to get all available profiles. The Actor is optimized for long-running tasks with automatic data persistence. ### Important Notice for Large-Scale Scraping Before running large-scale collections (10,000+ profiles): 1. Timeout Configuration: Large-scale runs may take 100-150 hours (4-6 days) to complete. Ensure your run configuration allows sufficient time or set timeout to 0 (no limit) when starting the Actor. 2. Account Balance: For collecting ~25,000 profiles over several days of runtime, please verify your Apify account has sufficient credit to cover the platform usage. 3. Potential Issues: Extended scraping operations may encounter: - Network connectivity interruptions - Source website maintenance or changes - Platform resource fluctuations - Rate limiting or access restrictions 4. Responsible Use: This Actor is provided for educational and research purposes. Users should: - Verify compliance with applicable laws and institutional policies - Respect the Harvard Catalyst Profiles terms of service - Use collected data ethically and appropriately - Understand the scope and impact of data collection activities By using this Actor for large-scale data collection, you acknowledge these considerations and agree to use it responsibly. ## Output Data Each profile includes: - Basic Information: Name, ID, title, institution, department - Contact Details: Full address, phone number, email (when available) - Professional Information: Faculty rank, research interests - Publications: Recent publication highlights - Profile URL: Direct link to the researcher's profile page - Metadata: Collection timestamp and search query used ## Quick Start ### Using Prefill Configuration The fastest way to start is using our prefill configuration which searches for cancer researchers: json { "searchKeywords": "cancer research", "department": "", "institution": "", "maxItems": 50 } ### Custom Search Examples Search by Keywords json { "searchKeywords": "machine learning healthcare", "maxItems": 50 } Filter by Department json { "searchKeywords": "genomics", "department": "Genetics", "maxItems": 50 } Institution-Specific Search json { "institution": "Harvard Medical School", "department": "Cell Biology", "maxItems": 50 } Get All Available Profiles json { "searchKeywords": "", "department": "", "institution": "", "maxItems": 25000 } ## Data Quality - Structured JSON output in Apify Dataset format - Automatically extracts email addresses from available sources (approximately 75% success rate) - Comprehensive error handling with informative logging - Clean, normalized data ready for analysis - Progress tracking for large-scale data collection ## Limitations - Email addresses may not be available for all profiles (approximately 75% success rate) - Some profiles may have incomplete information depending on source data - English language interface only - No authentication required (public data only) - Large-scale runs are designed for reliability: - Runs can continue for multiple days without interruption - Automatic data saving - all collected data is preserved immediately - Regular progress updates for monitoring ## Troubleshooting ### No Results Found - Verify your search keywords are spelled correctly - Try broader search terms - Remove department/institution filters to expand results ### Incomplete Profile Data - Some researchers may not have all fields populated in their public profiles - Email extraction depends on source data format and image quality - Check the profile URL to verify data availability on the source website ### Slow Performance - Consider reducing the maxItems parameter for faster completion - Check your Apify plan's resource allocation - Large-scale runs naturally require extended time for thorough data collection ## Use Cases Academic Collaboration Find researchers working on similar topics for potential collaborations and partnerships. Grant Applications Identify experts in specific fields to support research proposals and grant applications. Conference Planning Discover potential speakers and panelists in your field of interest. Talent Recruitment Build a comprehensive database of researchers for academic recruitment purposes. ## Data Privacy & Educational Use This Actor collects only publicly available information from the Harvard Catalyst Profiles directory. All data is already accessible through the public website. Educational Purpose: This tool is provided for educational and research purposes. It demonstrates web scraping techniques and data collection methodologies for learning and academic use. User Responsibility: Users are responsible for ensuring their use complies with applicable laws, regulations, and the Harvard Catalyst Profiles terms of service. Please use this tool responsibly and ethically. ## Support For issues or questions about this Actor: 1. Review the troubleshooting section above 2. Check your input parameters and configuration 3. Examine the run log for specific error messages and diagnostic information