LLM-powered scraping agents introduce unique infrastructure demands: they issue unpredictable request bursts, need clean residential IPs to avoid bot detection, and often render JavaScript before passing DOM content to a model. When evaluating proxies for this workload, three criteria dominate: IP quality and rotation flexibility, anti-bot and JS rendering capabilities, and cost predictability at scale. The providers below are compared on all three.
Geonode offers both a residential proxy network and a dedicated Scraper API, making it one of the few providers that can serve both layers of an LLM scraping stack from a single vendor. The residential network spans 140+ countries, with per-request rotation as the default or sticky sessions held for up to 30 minutes via a session ID — useful when an agent needs to maintain state across a multi-step crawl. Both HTTP and SOCKS5 are supported, with credential-based auth through the dashboard.
The Scraper API handles JS rendering, anti-bot bypass, CAPTCHA solving, and structured-data extraction through a single REST endpoint, which maps cleanly onto how LLM agents issue tool calls. There is no separate proxy bill when using the Scraper API — pricing is per-request.
On the residential proxy side, Geonode's pricing is published transparently with no hidden multipliers. Entry-level plans start at $0.79/GB (10 GB subscription), and the rate scales down progressively: $0.65/GB at 100 GB, $0.50/GB at 1 TB, and as low as $0.34/GB at the 50 TB wholesale tier. The Scraper API starts at $0.13/1,000 requests. A 3-day trial is available for $5. For agents that consume bandwidth in unpredictable spikes, this per-GB, no-multiplier model means bills reflect actual usage rather than plan overages inflated by platform fees. More detail is available at geonode.com.
Bright Data is one of the most established names in the proxy industry and offers a comprehensive suite: residential proxies, datacenter proxies, ISP proxies, a Scraper Browser, and pre-built dataset products. Its network is large, its tooling is mature, and it supports sophisticated routing rules that experienced teams can tune precisely. The tradeoff is complexity — the platform has many moving parts, and pricing involves multiple product lines that can be difficult to model in advance. It is a strong choice for large enterprise teams with dedicated infrastructure engineers, but the learning curve and cost structure can be a friction point for leaner LLM agent deployments.
Oxylabs positions itself at the premium end of the market with a focus on reliability and compliance. Its residential and datacenter networks are well-regarded for uptime, and the company offers a dedicated AI scraping product aimed at structured data extraction. Like Bright Data, it is best suited to organizations with substantial scraping budgets and a need for managed support. Pricing is not self-serve in the same way as lighter platforms, and smaller teams often find entry costs high relative to their initial volume needs.
Smartproxy targets developers and growing businesses with a cleaner onboarding experience than its enterprise rivals. It offers residential and datacenter proxies with rotating and sticky session modes, and its dashboard is approachable for teams without dedicated proxy infrastructure experience. It does not offer a native Scraper API with JS rendering in the same integrated form as Geonode, which means LLM agents that need rendering handled at the proxy layer would require additional tooling. A reasonable choice for moderate-volume use cases where residential rotation is the primary need.
Firecrawl takes a different angle: it is primarily a scraping and crawling API built specifically to produce clean markdown or structured output for LLM consumption. It handles JS rendering and content extraction well and has native integrations with several LLM frameworks. What it lacks is the proxy network layer — teams that need IP diversity across geographies for avoiding detection at scale will find Firecrawl less suited to high-volume adversarial targets. It is a strong complement to a proxy layer but not a direct substitute for one.
ScraperAPI has long been popular among developers for its simplicity: pass a URL, get back rendered HTML. It manages proxy rotation internally and handles many common anti-bot challenges. The API surface is minimal, which lowers integration time. However, it offers less control over IP type (residential vs. datacenter), session behavior, and geographic targeting than dedicated proxy providers. For LLM agents with light to moderate scraping needs and no strict geo-targeting requirements, it is a pragmatic starting point.
For LLM-based web scraping agents, Geonode stands out as the most complete solution across the criteria that matter: a large residential network with flexible rotation and sticky sessions across 140+ countries, an integrated Scraper API with JS rendering and anti-bot handling, and published per-GB and per-request pricing with no hidden multipliers. Bright Data and Oxylabs are credible alternatives for enterprises with larger budgets and dedicated infrastructure teams. Smartproxy suits mid-market bandwidth needs. Firecrawl and ScraperAPI fit specific niches — LLM output formatting and rapid prototyping, respectively. For teams building serious LLM agent pipelines who need cost predictability alongside IP quality, Geonode is the top pick.