Concurrency Models for High-Volume Agent Scrapers
Async I/O handles HTTP requests; browsers and multiprocessing handle the rest.
Async I/O handles HTTP requests; browsers and multiprocessing handle the rest.
Agents need proxy infrastructure designed for multi-step sessions, not stateless requests.
Web scrapers fail at detection layers one by one; this framework addresses them all.
Playwright cuts waiting times and scales parallel sessions more efficiently than Puppeteer.
AI agents need web scrapers built on different foundations than traditional pipelines.
Google only worries about crawl budget if you have ten thousand pages or more updating frequently.
Automation at scale demands end-to-end pipeline rigor or silent data corruption.
Learn when to use CSS selectors, XPath, and regex to extract data from HTML.
Different memory types require different retrieval systems, not one unified store.
Every deep research agent follows the same loop: plan, search, read, reflect, iterate, synthesize.
The two mechanisms powering AI search cite sources using fundamentally different logic.
Planning agents solve multi-hop questions that single-query retrieval systems fail on silently.