Template Details
A comprehensive Python-based web scraper that extracts detailed startup funding data and agency information from multiple sources.
Features
Multi-source data scraping (Crunchbase, TechCrunch, Dealroom, ProductHunt, AngelList)
Real-time funding data collection
Agency and service provider information
Automatic data cleaning and validation
Duplicate removal and deduplication
Lead priority scoring system
Partnership potential assessment
Multiple export formats (CSV, JSON)
Command-line interface with options
Configurable scraping parameters
Rate limiting and anti-detection measures
User agent rotation
Comprehensive error handling
Progress tracking and logging
Data categorization by industry
Contact information extraction
Social media profile links
Funding round analysis
Geographic data collection
Employee count and revenue data
Valuation information
Services and specialties (for agencies)
Hourly rate information (for agencies)
Client size categorization
Industry trend analysis
Technologies Used
Python 3.10+
BeautifulSoup4
Requests
Pandas
Click (CLI framework)
Fake UserAgent
LXML
Python-dateutil
TQDM (Progress bars)
Selenium (Optional)
WebDriver Manager (Optional)
Requirements
Python 3.10 or higher
Internet connection for web scraping
2GB RAM minimum (4GB recommended)
500MB free disk space
pip package manager
Git (for version control)
Modern web browser (for optional Selenium features)
Operating System: Windows 10+, macOS 10.14+, or Linux
Network access to target websites
Write permissions for output directory
Virtual environment (recommended)
Docker (optional, for containerized deployment)
