Python-based web scraping tool with ethical data collection practices. Features rate limiting, robots.txt compliance, and data validation.
Professional web scraping solution for automated data collection with enterprise-grade reliability and ethical practices.
- Multi-source Scraping: Google Maps reviews and business data
- Employment Focus: Intelligent detection of employment-related reviews
- Rate Limiting: Respectful API usage with built-in delays
- Error Handling: Robust error recovery and retry mechanisms
- Manual Execution: No scheduled collection or automatic data publishing
- Local Secrets: API credentials stay in ignored environment files
- Duplicate Prevention: Smart detection and filtering of duplicate entries
- Data Validation: Quality checks and data integrity verification
- CSV Export: Clean, structured output for analysis
- Employment Scoring: Relevance scoring for employment-related content
- Data Enrichment: Additional metadata and categorization
- Analytics Ready: Formatted for immediate use in data analysis tools
- Robots.txt Compliance: Respects website scraping policies
- Rate Limiting: Prevents server overload with controlled request timing
- Data Privacy: Responsible handling of collected information
- Legal Compliance: Adheres to web scraping best practices
- Clone the repository
- Install dependencies:
pip install -r requirements.txt
- Create an ignored
.env.localfile containingNEXT_PUBLIC_GOOGLE_MAPS_API_KEY
The scraper runs only when started locally. Confirm that your intended collection is authorized and complies with the source's terms before running it.
python test_scraper.pyReviews are saved to company_reviews_new.csv with the following information:
- Company name
- Industry
- Rating
- Pros/Cons
- Position
- Timestamp
Generated CSV and spreadsheet output is ignored by Git and must not be committed.
Feel free to open issues or submit pull requests!