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Python httpx (async) proxy setup

When you need concurrency — hundreds of requests, or an AI agent firing tool calls in parallel — httpx routes async traffic through the gateway with one proxy argument. Each request still exits from its own residential IP.

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Endpoint

Connection details

proxmint · gateway

Host : Port (HTTP)gw.proxmint.com:823

Host : Port (SOCKS5)gw.proxmint.com:824

UsernamePROXY_USER

PasswordPROXY_PASS

Swap PROXY_USER / PROXY_PASS for the credentials on your dashboard. New here? Create an account to generate a key.

Code

Python (httpx / async) proxy example

python

import asyncio
import httpx

PROXY = "http://PROXY_USER:PROXY_PASS@gw.proxmint.com:823"

async def fetch(client, url):
    r = await client.get(url, timeout=30)
    return r.text

async def main():
    async with httpx.AsyncClient(proxy=PROXY) as client:
        pages = await asyncio.gather(*(fetch(client, "https://example.com") for _ in range(20)))
        print(len(pages), "pages fetched, each via a residential IP")

asyncio.run(main())

Targeting

Steer the exit IP from the username

append to your username

CountryPROXY_USER__cr.us

Country + cityPROXY_USER__cr.us;city.newyork

Sticky IP (30 min)PROXY_USER__sessid.abc123;sessttl.30

Good to know

Tips & gotchas

httpx 0.26+ uses proxy= (singular). On older versions use proxies=.
For a stable IP per worker, give each its own sticky session id in the username.

FAQ

Python (httpx / async), answered

Is a residential proxy fast enough for async scraping?

Yes — concurrency hides per-request latency. Fire many requests at once with asyncio.gather and the gateway spreads them across residential exits. Cap concurrency to be polite to the target.

Can I use this for an AI agent's web tools?

Yes. Any agent that fetches URLs with httpx or requests can share this client, so the model's browsing traffic exits from a residential IP instead of a datacenter range that gets blocked.

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