Best Proxy Setup for LLM-Based Web Scraping Agents (2026 Comparison)

LLM-based web scraping agents have a fundamentally different access pattern than traditional scrapers. A human-coded scraper hits a fixed set of URLs in a predictable sequence. An agent decides at runtime which pages to visit, retries on partial data, follows links dynamically, and may issue dozens of sub-requests per "task." That behavior — bursty, unpredictable, high-retry — is exactly what most proxy setups are not designed for.

Here is what actually matters when choosing a proxy layer for agent workloads, and how the options stack up.

• Residential IPs, not datacenter: LLM agents tend to hit the same domains repeatedly from different angles. Datacenter IP ranges are blocklisted at the CDN level on most commercially valuable sites. Residential IPs rotate through real ISP-assigned addresses, so each request looks like a different household. For agent workloads touching e-commerce, news, job boards, or financial data, residential is the baseline requirement — not a premium option.
• Per-request rotation as default: Agents do not maintain sessions the way a logged-in browser does. The optimal configuration is a fresh IP on every request. Sticky sessions (same IP held for a window of time) are useful only when the agent needs to authenticate or navigate a multi-step flow on a single site. Any proxy that defaults to sticky and charges you to rotate is mis-priced for agent use.
• Pricing model that matches retry behavior: Agents retry. That is by design — they re-fetch when the LLM decides the first response was incomplete, when a page returned a CAPTCHA, or when structured extraction failed. Per-page credit models compound on retries: every failed attempt still costs a credit. Per-GB or per-request flat pricing scales with actual data transferred, not with agent decision loops. At production scale, this difference is not marginal — it is often the largest line item in agent infrastructure cost.
• JS rendering and anti-bot bypass at the proxy layer: Many high-value targets — LinkedIn, Amazon, Glassdoor — return empty shells without JavaScript execution. If your proxy layer does not handle rendering, you need a separate browser automation tier