By Muhammad Imran · October 19, 2026 · Updated October 19, 2026 · 7 min read · ProxyNest Blog

How to Export Proxies From ProxyNest Into Your Script or App

You found the proxy list. Now you need those proxies inside your script, not sitting on a webpage. Here's how to move them from our list into your code in about two minutes, and how to keep them fresh without doing it by hand every day.

The problem with copy-paste

I used to keep a proxies.txt on my desktop and paste entries into it by hand. Select the IP, copy, switch to the file, paste, switch back, copy the port. Fifty proxies took forever. And by the time I saved the file, a bunch of them were already dead.

Here's my honest take: downloading a proxy list once and reusing it for weeks is the slowest way to fail. Free proxies die. Servers go offline, owners change ports, sites block them. A static file is a photo of a moving target. It looked fine on Monday and lies to you on Friday.

So there are two sane ways to get ProxyNest proxies into your code. Export a file with one command, or skip the file entirely and pull fresh proxies from the API at runtime. Both are free, both need no signup. Let's do both.

Option 1: export the list as a file (one curl command)

The fastest route is our export endpoint. One command, one file, no code to write:

curl "https://proxynest.live/api/export?format=txt&protocol=socks5" -o proxies.txt

That gives you a plain text file, one proxy per line in ip:port format, ready for any script that reads a line at a time. Swap the filters to shape it:

• format=txt: plain ip:port lines. Best for scripts, config files, quick sharing.
• format=csv: a spreadsheet-style file with the proxy details in columns. Best for filtering in Excel or pandas.
• format=json: structured data. Best when your app parses everything programmatically.
• protocol=http or protocol=socks5: only that protocol. SOCKS4 works too.
• country=DE: only proxies from that country. Great if you need a specific exit location, or you can browse the locations page to pick one.

Combine them freely. This grabs German HTTP proxies as JSON:

curl "https://proxynest.live/api/export?format=json&protocol=http&country=DE" -o proxies-de.json

To put this in perspective: as I write this, the ProxyNest list holds 79,456 proxies. The checker had verified 46,092 of them, and 7,155 were alive. That's the real number, measured, not marketing. Export fresh and you get the current winners. Export last month and you get a cemetery.

Prefer watching? NeuralNine's tutorial walks through using proxies in a Python scraper, the same workflow this guide covers with free proxies.

Option 2: skip the file, fetch fresh proxies inside your script

Option 1 is fine for a quick job. But if your script runs every day, a downloaded file is already going stale. The better move: have your script ask the API for fresh proxies at startup. Same free endpoint, no key, no signup. Here's the Python version:

import requests

r = requests.get(
    "https://proxynest.live/api/proxies",
    params={"protocol": "socks5", "country": "US", "limit": 50},
    timeout=15,
)
proxies = [f"http://{p['ip']}:{p['port']}" for p in r.json()["proxies"]]
print(f"Loaded {len(proxies)} fresh proxies")

Five lines, and your script always starts with the current list instead of whatever you downloaded last week. The API docs show the same call in curl, Node.js and PowerShell if Python isn't your thing. Node looks like this:

const res = await fetch(
  "https://proxynest.live/api/proxies?protocol=http&limit=50");
const data = await res.json();
const proxies = data.proxies.map(p => `http://${p.ip}:${p.port}`);

One thing the other tutorials rarely mention: ask for a bit more than you need. If your job needs 20 proxies, pull 50. You'll throw the dead ones away in the next step, and you'll still have plenty left.

A worked example: rotate through your exported proxies

Say you wrote a script that checks prices on 40 product pages. Hitting all 40 from your own IP gets you rate-limited fast. So you load your proxies.txt, pick a different proxy per request, and drop the dead ones without stopping. The pattern looks like this:

import random, requests

with open("proxies.txt") as f:
    pool = [line.strip() for line in f if line.strip()]

def fetch(url):
    for _ in range(5):                      # try up to 5 proxies
        proxy = random.choice(pool)
        proxies = {"http": f"http://{proxy}", "https": f"http://{proxy}"}
        try:
            return requests.get(url, proxies=proxies, timeout=8)
        except requests.RequestException:
            pool.remove(proxy)              # dead? throw it out
    return None

for page in range(1, 41):
    r = fetch(f"https://example.com/products?page={page}")
    if r and r.status_code == 200:
        print(f"page {page}: ok via the pool")
    else:
        print(f"page {page}: skipped, pool ran dry")

Three habits baked in there: a timeout on every request (dead proxies hang otherwise), removing failures from the pool, and retrying with a fresh pick. If you want the deeper version with sessions and error handling, our Python requests guide and the free proxy scraping tutorial build on exactly this pattern.

Don't skip this: free proxies go stale fast

This is the part people learn the hard way. An exported file is a snapshot. The proxies that were fast this morning might time out tonight. When I tested a fresh export against a week-old one, the difference was ugly. Same count of lines, wildly different number of working connections.

So the rule is simple:

• Re-export or re-fetch every day you run the job. A one-liner in your script or a daily cron job beats a file from last month.
• Spot-check before big runs. Paste a suspect proxy into our proxy checker or re-read how to test any proxy when results look wrong.
• Watch for slowdowns, not just failures. A proxy can be alive and still useless. See why your proxy is slow for the five checks that catch that.
• Don't trust lists with no test data. If a provider won't show you when a proxy was last checked, their export is a guess. Ours shows latency and status on the proxy list, and the API returns the same numbers.

One more note on the SOCKS5 code above: plain requests needs the requests[socks] extra to speak SOCKS, and using socks5h:// instead of socks5:// routes DNS through the proxy too, which stops your ISP's resolver from seeing your target domains. QuanticData's requests proxy guide explains that DNS leak angle well if you want the details.

Go grab your proxies

That's the whole pipeline: export with one curl, fetch fresh at runtime if your script runs daily, rotate and drop the dead ones, re-fetch often. The list is right here, and every entry carries real measured test data, not marketing fairy dust.