プロキシが静的かどうかを確認する方法：IP、ASN、場所を経時的に確認

# One check through the proxy: IP, network (org = ASN + name), country, city
curl -s -m 30 -x "http://USERNAME:[email protected]:7777" https://ipinfo.io/json

# 24 checks, one per hour, one line per check in ip-log.txt
PROXY="http://USERNAME:[email protected]:7777"
for i in $(seq 1 24); do
  printf '%s ' "$(date -u +%Y-%m-%dT%H:%M:%SZ)" >> ip-log.txt
  curl -s -m 30 -x "$PROXY" https://ipinfo.io/json | tr -d '\n' >> ip-log.txt
  echo >> ip-log.txt
  sleep 3600
done

# Count the distinct exit IPs and networks in the log (one line each = static)
grep -o '"ip": *"[^"]*"' ip-log.txt | sort | uniq -c
grep -o '"org": *"[^"]*"' ip-log.txt | sort | uniq -c

"""Log the exit IP, network and location of one proxy over time.

A static IP shows the same IP, network (ASN) and country in every row.
Install: python -m pip install requests
"""
import csv
import os
import time
from datetime import datetime, timezone
from urllib.parse import quote

import requests

HOST = os.environ.get("PROXY_HOST", "gw.steadyproxy.com")
PORT = os.environ.get("PROXY_PORT", "7777")
USER = os.environ.get("PROXY_USER", "USERNAME")
PASSWORD = os.environ.get("PROXY_PASS", "PASSWORD")
CHECKS = int(os.environ.get("CHECKS", "24"))
INTERVAL = int(os.environ.get("INTERVAL_SECONDS", "3600"))
LOG_FILE = os.environ.get("LOG_FILE", "static-ip-log.csv")

PROXY = "http://" + quote(USER, safe="") + ":" + quote(PASSWORD, safe="") + "@" + HOST + ":" + PORT
PROXIES = {"http": PROXY, "https": PROXY}
FIELDS = ["time_utc", "ipify_ip", "ipinfo_ip", "org", "country", "region", "city"]


def check_once(session):
    ipify = session.get("https://api.ipify.org?format=json", proxies=PROXIES, timeout=(10, 30))
    ipify.raise_for_status()
    info = session.get("https://ipinfo.io/json", proxies=PROXIES, timeout=(10, 30))
    info.raise_for_status()
    data = info.json()
    return {
        "time_utc": datetime.now(timezone.utc).isoformat(timespec="seconds"),
        "ipify_ip": ipify.json()["ip"],
        "ipinfo_ip": data.get("ip", ""),
        "org": data.get("org", ""),
        "country": data.get("country", ""),
        "region": data.get("region", ""),
        "city": data.get("city", ""),
    }


def main():
    rows = []
    with requests.Session() as session, open(LOG_FILE, "a", newline="", encoding="utf-8") as fh:
        session.trust_env = False
        writer = csv.DictWriter(fh, fieldnames=FIELDS)
        if fh.tell() == 0:
            writer.writeheader()
        for n in range(CHECKS):
            try:
                row = check_once(session)
            except requests.RequestException as exc:
                print("check", n + 1, "failed:", type(exc).__name__)
            else:
                writer.writerow(row)
                fh.flush()
                rows.append(row)
                print(row["time_utc"], row["ipify_ip"], row["org"], row["country"], row["city"])
            if n + 1 < CHECKS:
                time.sleep(INTERVAL)

    ips = {r["ipify_ip"] for r in rows} | {r["ipinfo_ip"] for r in rows}
    orgs = {r["org"] for r in rows}
    countries = {r["country"] for r in rows}
    print("successful checks:", len(rows), "of", CHECKS)
    print("distinct IPs:", sorted(ips))
    print("distinct networks:", sorted(orgs))
    print("distinct countries:", sorted(countries))
    if len(rows) >= 2 and len(ips) == 1 and len(orgs) == 1 and len(countries) == 1:
        print("RESULT: same IP, network and country in every successful check")
    else:
        print("RESULT: not stable, or not enough data - read the log")


if __name__ == "__main__":
    main()