Browser-Use AI agent scraping and automation. Dedicated ISP and residential IPs trusted by professional operators.
Production infrastructure for browser use — used by operators running at scale.
browser-use lets LLM agents control real browsers. Without BirdProxies residential IPs, your AI agent gets blocked by anti-bot detection on every protected target.
AI agents that login, navigate, extract data, and checkout need sticky sessions for IP consistency. BirdProxies sticky residential maintains identity across multi-page agent workflows.
Run multiple browser-use agents in parallel, each routed through a different BirdProxies residential IP. No more datacenter bans on Cloudflare-protected APIs.
AI agents are increasingly detected by behavioral signals. BirdProxies residential trust scores compensate for the agent's non-human click patterns by raising the IP-trust dimension.
Configure BirdProxies with Browser Use in three steps.
pip install browser-use. Python 3.10+. browser-use uses Playwright underneath for browser control.
pip install browser-use playwright
playwright install chromiumUse browser-use's BrowserConfig to pass proxy settings.
from browser_use import Agent, BrowserConfig, Browser
from langchain_anthropic import ChatAnthropic
browser = Browser(
config=BrowserConfig(
proxy={
"server": "http://residential.birdproxies.com:7777",
"username": "your_user-cc-us-sid-12345",
"password": "your_pass"
}
)
)
agent = Agent(
task="Go to amazon.com and find the price of an iPhone 16",
llm=ChatAnthropic(model="claude-sonnet-4-7"),
browser=browser
)
await agent.run()For agents that complete multi-page tasks, append -sid-{TASK_ID}-ttl-{SECONDS} to maintain IP across the entire task.
# Each task gets a unique sticky session
proxy_username = f"your_user-cc-us-sid-{task_id}-ttl-600"Vorteile, die Sie voranbringen
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BirdProxies residential and ISP proxies are the production infrastructure for browser-use AI agents. Pair sticky sessions with LLM-driven workflows for the highest anti-bot pass rate.
browser-use is the leading LLM-driven browser automation framework on GitHub (94,000+ stars), letting AI agents control real browsers to complete multi-step web tasks. The combination of LLM-controlled actions and Playwright-based browser automation is uniquely vulnerable to anti-bot detection — AI agents exhibit non-human behavioral patterns (precise mouse paths, instant decisions, parallel actions) that modern detection systems flag immediately when paired with datacenter or low-trust IPs. BirdProxies residential proxies solve the IP layer: real household IPs with residential trust scores compensate for the non-human behavior, getting AI agents through anti-bot challenges. Sticky residential sessions (5-15 minute TTL) are the standard for agent workflows that span multiple page loads. Pricing: €3.75/GB at 50GB+ tier. For an AI agent fleet of 10 parallel agents running 8 hours/day at typical bandwidth, the monthly proxy budget is ~€450 — roughly 60% cheaper than Bright Data's equivalent service.
BirdProxies sticky residential is purpose-built for browser-use agents.
AI agents need IP consistency across multi-step tasks. BirdProxies sticky sessions (append -sid-{TASK_ID}-ttl-300 for 5-minute IP lock) maintain agent identity across login → navigate → extract → checkout flows. No more session cookie invalidation from rotating proxies.
Cloudflare challenge rate for browser-use drops from 80% to under 10% with BirdProxies residential.
AI agent behavior is detectable. Without residential IPs, agents get challenged on every protected target. With BirdProxies residential, the IP-trust dimension compensates for the agent's non-human behavior layer, dropping challenge rate by 7-8x in production.
10 parallel agents × 8h/day at BirdProxies: ~€450/month. At Bright Data: ~€1,260/month.
Indie AI startups can't afford enterprise proxy contracts. BirdProxies at €3.75/GB scale is the only mid-market option that pairs cleanly with browser-use. Self-serve, no KYC, crypto payment available.
Run 10-100 parallel browser-use agents, each with its own BirdProxies session.
No concurrent connection limits at any BirdProxies tier. Spin up agent fleet via Kubernetes or serverless, each agent gets a unique sticky session ID for IP isolation. Production users run 100+ agents on a single AI workflow.
BirdProxies is the cost-effective choice for browser-use AI agent fleets.
| Feature | BirdProxies | Bright Data | Webshare |
|---|---|---|---|
| Residential at 50GB tier | €3.75/GB | $10.50/GB | $0.65/GB but smaller pool |
| Sticky sessions for agents | Yes (1-30 min TTL) | Yes | Limited |
| Cloudflare challenge rate | <10% | <10% | ~40% |
| Cost for 10 parallel agents/month | ~€450 | ~€1,260 | ~€80 but limits hit |
| Crypto payment | Yes | No | No |
| No KYC | Yes | No | Yes |
| Self-serve checkout | Yes | Partial | Yes |
Single-agent rotating residential
€5.00
/ GB
€5.00
Jederzeit aufladbar
10-50 parallel agents (€3.75/GB at 50GB+)
€4.75
/ GB
€23.75
Jederzeit aufladbar
100+ agents with sticky sessions
€4.50
/ GB
€45.00
Jederzeit aufladbar
Enterprise AI agent residential pool
€3.75
/ GB
€375.00
Jederzeit aufladbar
StarterSingle-agent rotating residential €5.00 / GB €5.00 Jederzeit aufladbar | Production10-50 parallel agents (€3.75/GB at 50GB+) €4.75 / GB €23.75 Jederzeit aufladbar | Scale100+ agents with sticky sessions €4.50 / GB €45.00 Jederzeit aufladbar | EnterpriseEnterprise AI agent residential pool €3.75 / GB €375.00 Jederzeit aufladbar | |
|---|---|---|---|---|
| Daten | 1 GB | 5 GB | 10 GB | 100 GB |
| Pool-Größe | 72M+ IPs | 72M+ IPs | 72M+ IPs | 72M+ IPs |
| Länder | 170+ | 170+ | 170+ | 170+ |
| Session-Typ | Rotierend/Sticky | Rotierend/Sticky | Rotierend/Sticky | Rotierend/Sticky |
| Ungebannt | Garantiert | Garantiert | Garantiert | Garantiert |
Real results from
Everything you need to know about using proxies with browser-use
AI agents like browser-use exhibit non-human behavioral patterns (precise mouse paths, instant decisions, parallel actions). Modern bot detection systems combine behavioral + IP-trust signals — datacenter IPs alone get blocked, but residential IPs with high trust scores compensate for the non-human behavior layer, getting AI agents through anti-bot challenges.
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