Charity Intelligence & Resilient Data Ingestion
spotnoor
Apr 2025 - Jun 2025 (3 months)
The Challenge: Tasked with extracting critical market intelligence from high-security charity platforms protected by aggressive anti-scraping measures and rate-limiting.
The Architecture: Developed a custom Python-based scraping engine to bypass automated detection. Implemented stealth techniques including User-Agent randomization, exponential backoff, and custom request headers to mimic human behavior. Additionally, I utilized Claude to assist in crafting Python scripts, enhancing the efficiency and effectiveness of the scraping process.
The Orchestration: Integrated the scraper into a central "Data Lake" in Airtable, moving the client away from manual data entry.
The Impact: Achieved a 100% data integrit