Summary We are seeking to develop a comprehensive data collection and analysis system to identify, evaluate, and rank healthcare providers based on multiple data sources and custom scoring criteria. The system will combine public healthcare databases, web scraping, and intelligent data enrichment to create actionable provider insights. Project Overview: The platform will build and maintain an enriched database of healthcare providers, starting with the National Provider Identifier database as the foundation. The system will incorporate web scraping, data verification, and custom scoring algorithms to evaluate providers based on specific business criteria and growth indicators. Core Requirements: Data Collection and Integration: The system must integrate with the NPI database and other public healthcare data sources to create a comprehensive provider database. It should maintain data freshness through regular updates and implement verification mechanisms for data accuracy. Provider Website Analysis: Development of an intelligent web scraping system to analyze provider websites and social media presence. The system should identify and extract relevant information about practice characteristics, services offered, and other key indicators defined in the scoring criteria. Data Enrichment Pipeline: Implementation of a sophisticated data enrichment process that combines multiple data sources to create detailed provider profiles. The system should validate and cross-reference information across sources to ensure accuracy. Scoring and Ranking System: Development of a flexible scoring algorithm that evaluates providers based on customizable criteria. The system should support dynamic weighting of different factors and allow for regular refinement of the scoring model. System Features: Data Collection Capabilities: - NPI database integration and parsing - Automated website discovery and verification - Social media presence detection - Contact information validation - Practice size and scope analysis - Service offering identification - Location and demographic data collection Web Scraping Features: - Intelligent content extraction - Image and media analysis - Contact form detection - Service menu analysis - Staff and provider information collection - Patient review aggregation - Technology adoption indicators Analysis and Scoring: - Custom scoring algorithm implementation - Multiple criteria evaluation - Weighted ranking system - Growth indicator analysis - Engagement metric tracking - Behavioral factor scoring - Market presence evaluation Data Management: - Automated data validation - Duplicate detection and merging - Regular data refresh cycles - Historical trend tracking - Data quality scoring - Anomaly detection - Change tracking and versioning Technical Requirements: Backend Infrastructure: - Python-based processing pipeline - Scalable database architecture (PostgreSQL) - API development for data access - Automated data collection workers - Queue management system - Caching layer implementation Web Scraping Technology: - Selenium/Playwright for dynamic content - Proxy rotation system - Rate limiting mechanisms - Content extraction framework - Pattern matching algorithms - Error handling and recovery Data Processing: - ETL pipeline development - Data normalization procedures - Validation frameworks - Enrichment workflows - Quality assurance systems - Performance optimization Deliverables: 1. Complete source code and documentation 2. Data collection and enrichment pipeline 3. Scoring algorithm implementation 4. API documentation and examples 5. Database schema and optimization guide 6. System administration documentation 7. Data quality reports and metrics 8. Performance monitoring tools Required Skills: - Strong Python programming expertise - Experience with healthcare data - Web scraping and automation - Database design and optimization - Data processing pipeline development - API development - Statistical analysis Nice to Have: - Healthcare industry knowledge - Experience with NPI database - Machine learning expertise - Data visualization skills - Performance optimization experience - Cloud infrastructure management The ideal candidate or team will have demonstrated experience in building data-intensive applications and working with healthcare data.