Building a data extraction pipeline for B2B lead generation is easy on day one. Scaling it to handle thousands of targets reliably without breaking on IP rate limits, fragile selectors, or memory leaks is a different engineering problem entirely.
When scraping modern web applications, basic HTTP requests often aren't enough. Pages render dynamically, load data asynchronously, and expect browser-like behavior. You need an architecture that handles this gracefully while staying respectful of the sites you're pulling from.
Here's the architecture pattern I use for building resilient, production-grade scraping pipelines for B2B outreach.
1. The Architecture: Hybrid Extraction Layer
Rather than defaulting to a heavy headless browser for every target, a dual-layer extraction strategy works better:
