Best Proxy for LLM-Based Web Scraping Agents: What Actually Matters at Production Scale

LLM-based web scraping agents have different requirements than traditional scrapers. A single agent run might touch dozens of domains, retry failed pages automatically, hold sessions across multi-step interactions, and need clean residential IPs to avoid triggering bot detection on the pages that feed the model's context. Getting the proxy layer wrong compounds fast — bad IPs mean retries, retries mean cost, and cost in most proxy setups scales with volume in ways that break agent economics.

Here is what to evaluate when choosing a proxy for this use case, and where the tradeoffs actually land.

• Residential vs. datacenter IPs. LLM agents typically scrape content-heavy pages — news, product listings, research portals, job boards — where bot detection is tuned to flag datacenter subnets. Residential IPs, sourced from real consumer devices, clear those filters reliably. Datacenter proxies are faster and cheaper per GB but get blocked on the pages most worth scraping. For agent workloads, residential is the correct default.
• Rotating vs. sticky sessions. Most agent tasks want a fresh IP per request to avoid fingerprinting across a crawl. But some tasks — login flows, multi-step form submissions, paginated scrapes that require session continuity — need the same IP to persist across several requests. A proxy layer that only offers one mode will force you to architect around its limitations. Look for endpoints that support both: fresh-per-request rotating and sticky sessions that hold an IP for a configurable window.
• JS rendering and anti-bot bypass. A proxy alone is not enough for heavily protected pages. Many targets now require JavaScript execution, fingerprint-consistent browser headers, and CAPTCHA resolution before any content is served. Agents hitting these pages through a raw proxy will fail silently — they get a block page instead of content, and the LLM reads garbage. Either you handle rendering and bypass in your own stack, or you use a scraper API that bundles it. Bundling is almost always cheaper when you account for engineering time.
• Pricing model relative to agent behavior. Agents retry. A page that returns a 403 or a CAPTCHA wall doesn't cost zero — if you're b