Taiwan

IP rumahan asli

Proxy residensial Taiwan

Proxy residensial Taiwan adalah alamat IP asli dari rumah tangga di Taiwan, yang dialokasikan oleh ISP konsumen seperti Chunghwa Telecom, kbro, TBCOM dan Taiwan Fixed. Dengan proxy ini Anda bisa menjelajah, melakukan scraping, dan memverifikasi etalase, harga, serta konten Taiwan layaknya pengguna asli di dalam negeri — mencakup Taipei, Taichung, New Taipei City dan Kaohsiung — alih-alih dari IP datacenter yang langsung ditandai dan diblokir begitu saja oleh PChome 24h, momoshop dan geo-gate lokal.

Coba seharga $1.99/GB Masuk dengan Google

HTTP / SOCKS5Penargetan kota & ISPTraffic tidak pernah kedaluwarsaDiverifikasi bersih setiap bulan

148.736IP dalam pool

25+Kota terjangkau

36Jaringan ISP

146 msLatensi median

99.2%Benar-benar bersih

Sekilas tentang proxy residensial Taiwan

Proxy residensial Taiwan adalah alamat IP asli dari rumah tangga Taiwan, yang diberikan oleh ISP konsumen. IP ini memungkinkan Anda menjelajah, melakukan scraping, dan memverifikasi situs web, harga, serta konten Taiwan layaknya pengguna lokal sungguhan — bukan dari IP datacenter yang ditandai dan diblokir oleh situs lokal.

Jenis pool: Residensial, multi-ISP
Kota terjangkau: Taipei, Taichung, New Taipei City
ISP teratas: Chunghwa Telecom · kbro · Hoshin Multimedia Center
Protokol: HTTP, SOCKS5
Rotasi: Per-request atau sticky
Akurasi geo: 99.98%
Kebersihan pool: 99.2% clean
Harga: from $2.00/GB
Terakhir diukur: 2026-06-23
Dukungan: 24/7

Mengapa tim memilih pool Taiwan kami

IP residensial asli, penargetan presisi, dan kualitas yang tidak perlu Anda percayai begitu saja.

IP residensial asli

Koneksi rumahan sungguhan dari ISP konsumen Taiwan — bukan rentang datacenter yang langsung diblokir.

Penargetan kota & ISP

Targetkan kota dan operator tertentu sejauh kedalaman pool memungkinkan — hingga ke level penyedia.

Rotasi atau sticky

Rotasi per-request untuk skala besar, atau sesi sticky hingga ~72 jam untuk alur multi-langkah.

HTTP & SOCKS5

Langsung berfungsi dengan klien, scraper, atau stack otomasi apa pun tanpa konfigurasi tambahan.

Bersumber secara etis

IP dari jaringan residensial opt-in — pengguna nyata yang menyetujui untuk berbagi bandwidth.

Diverifikasi bersih, tiap bulan

Kami mengukur ulang pool setiap bulan dan mempublikasikan angkanya, agar selalu mutakhir.

Kualitas yang bisa Anda verifikasi

Setiap bulan kami menjalankan benchmark yang sama — sampel acak IP diberi skor oleh Scamalytics, latensi diuji dari VPS netral, dan akurasi geo diperiksa lintas basis data independen. Angka di bawah mencerminkan kondisi produksi, bukan hasil lab skenario terbaik.

Kebersihan Scamalytics · 100.000 IP

Benar-benar bersih99.2%

Kontaminasi datacenter0%

Ada di blacklist mana pun0.34%

Risiko penipuan rendah (0–19)99.5%

Akurasi geo99.98%

Latensi & kecepatan VPS → Cloudflare

Latensi median146ms

Latensi p90 / p95176 / 204 ms

Keberhasilan koneksi98.7%

Throughput (median / p95)3.54 / 7.18 MB/s

Penyelesaian file besar92%

Komposisi jaringan

Jenis koneksi100% residensial

Jaringan ISP (ASN)36

Mode rotasiper-request · sticky

Operator teratasChunghwa Telecom · kbro · Hoshin Multimedia Center

Diukur pada 100.000 alamat dari VPS netral terhadap edge Cloudflare, akurat per benchmark terakhir. Pengujian ulang mungkin berbeda dalam margin kecil, tetapi angka-angka ini sepenuhnya mencerminkan orde besarannya dan menjadi dasar yang kuat untuk menilai apakah pool cocok untuk kasus penggunaan Anda. Tingkat keberhasilan scraping per-target tidak dipublikasikan — hal itu bergantung pada fingerprint dan pengaturan Anda, bukan hanya pada IP.

benchmark.py — benchmark pool terbuka

Benchmark terbuka di balik angka-angka di atas. Ia mengambil sampel acak IP pool dan mengukur empat hal — kebersihan (risiko penipuan Scamalytics, datacenter, blacklist, dan akurasi geo), latensi (round-trip edge Cloudflare dan ip-api), rotasi (IP unik, ASN, dan subnet /24), serta throughput (kecepatan unduh dan time-to-first-byte) — lalu melaporkan masing-masing. Skrip ini dipublikasikan secara utuh agar metodologi di balik setiap angka tetap terbuka untuk diperiksa.

# -*- coding: utf-8 -*-

"""
JETPROXY — POOL BENCHMARK

End-to-end audit of a residential proxy pool. A single run measures cleanliness,
latency, rotation and throughput, then prints every metric as one list.

  Cleanliness   fraud-risk, datacenter, blacklist and geo-accuracy (Scamalytics)
  Latency       Cloudflare edge (responsiveness) and ip-api origin (round-trip)
  Rotation      unique IPs / ASNs / subnets, success rate, country match
  Throughput    median & p95 download speed, time-to-first-byte, drop rate

Every stage size is a parameter, so the same script runs a quick check or a deep
audit:

    python benchmark.py --country ID
    python benchmark.py --quality 200 --downloads 50 --latency 1000 --rotation 5000 --country ID
    python benchmark.py --proxies proxies.txt --country ID --json result.json

Proxies   paste at the prompt (one per line) or pass --proxies FILE.
          host:port:user:pass  ·  host:port  ·  user:pass@host:port
The Scamalytics key for the cleanliness stage is read from the environment or
../.env (SCAMALYTICS_USER + SCAMALYTICS_KEY); without it that stage is skipped.
"""
from __future__ import annotations

import argparse
import asyncio
import csv
import ipaddress
import json
import os
import re
import statistics
import sys
import time
from collections import Counter
from datetime import datetime

try:
    sys.stdout.reconfigure(encoding="utf-8")
    sys.stderr.reconfigure(encoding="utf-8")
except Exception:
    pass

try:
    import aiohttp
    from rich.console import Console
    from rich.table import Table
    from rich import box
except ImportError:
    print("\n[!] Need: pip install aiohttp rich\n")
    sys.exit(1)

console = Console()

# ── endpoints ────────────────────────────────────────────────────────────────

IP_ENDPOINT = ("http://ip-api.com/json/?fields="
               "status,message,country,countryCode,regionName,city,isp,as,org,query")
CF_TRACE = "https://speed.cloudflare.com/cdn-cgi/trace"   # tiny edge response (~350 B)

FILE_MB = 10
DOWN_URL = f"https://speed.cloudflare.com/__down?bytes={FILE_MB * 1_000_000}"
SCAM_HOST = "https://api11.scamalytics.com/v3"            # US node (api12 = EU)


SCORE_CONCURRENCY = 10
DOWN_CONCURRENCY = 3   # downloads share the local uplink — keep low so the exit node is the bottleneck



# ── proxy parsing ──────────────────────────────────────────────────────────────

def parse_proxy(raw: str):
    """host:port | host:port:user:pass | user:pass@host:port | scheme://..."""
    raw = raw.strip()
    if not raw or raw.startswith("#"):
        return None
    scheme = "http"
    if "://" in raw:
        scheme, raw = raw.split("://", 1)
    user = pwd = host = port = None
    if "," in raw:
        parts = [p.strip() for p in raw.split(",")]
        if len(parts) == 4:
            host, port, user, pwd = parts
        elif len(parts) == 2:
            host, port = parts
        else:
            return None
    elif "@" in raw:
        cred, hostport = raw.rsplit("@", 1)
        if ":" in cred:
            user, pwd = cred.split(":", 1)
        host, port = hostport.rsplit(":", 1)
    else:
        parts = raw.split(":")
        if len(parts) == 2:
            host, port = parts
        elif len(parts) == 4:
            host, port, user, pwd = parts
        else:
            return None
    try:
        port = int(port)
    except (ValueError, TypeError):
        return None
    return {"scheme": scheme, "host": host, "port": port, "user": user, "pwd": pwd,
            "url": f"{scheme}://{host}:{port}", "label": f"{host}:{port}"}


def subnet24(ip: str) -> str:
    try:
        return str(ipaddress.ip_network(ip + "/24", strict=False))
    except ValueError:
        return ""


def pct(values, p):
    if not values:
        return 0.0
    s = sorted(values)
    k = min(len(s) - 1, max(0, int(round(p / 100 * (len(s) - 1)))))
    return s[k]


# ── ip-api request (identity + geo + round-trip) ───────────────────────────────

def _fail(idx, proxy, err, latency):
    return {"idx": idx, "ok": False, "proxy": proxy["label"], "error": err, "latency": latency}


async def _one_attempt(session, proxy, idx, timeout):
    t0 = time.perf_counter()
    auth = aiohttp.BasicAuth(proxy["user"], proxy["pwd"]) if proxy["user"] else None
    try:
        async with session.get(IP_ENDPOINT, proxy=proxy["url"], proxy_auth=auth,
                               timeout=aiohttp.ClientTimeout(total=timeout)) as r:
            latency = (time.perf_counter() - t0) * 1000
            if r.status != 200:
                return _fail(idx, proxy, f"HTTP {r.status}", latency)
            data = await r.json(content_type=None)
            if data.get("status") != "success":
                return _fail(idx, proxy, data.get("message", "api error"), latency)
            ip = data.get("query", "")
            asn = data.get("as", "").split(" ")[0] if data.get("as") else ""
            return {"idx": idx, "ok": True, "proxy": proxy["label"], "ip": ip,
                    "country": data.get("country", ""), "cc": data.get("countryCode", ""),
                    "region": data.get("regionName", ""), "city": data.get("city", ""),
                    "isp": data.get("isp") or data.get("org", ""), "asn": asn,
                    "org": data.get("org") or data.get("as", ""),
                    "subnet": subnet24(ip), "latency": latency, "error": ""}
    except asyncio.TimeoutError:
        return _fail(idx, proxy, "timeout", (time.perf_counter() - t0) * 1000)
    except Exception as e:
        return _fail(idx, proxy, type(e).__name__, (time.perf_counter() - t0) * 1000)


async def fetch(session, proxy, sem, idx, timeout, max_retries=2):
    async with sem:
        res = None
        for attempt in range(1, max_retries + 2):
            res = await _one_attempt(session, proxy, idx, timeout)
            if res["ok"]:
                res["attempts"] = attempt
                res["first_try_ok"] = (attempt == 1)
                return res
        res["attempts"] = max_retries + 1
        res["first_try_ok"] = False
        return res


# ── Cloudflare edge probe (responsiveness + nearest datacenter) ────────────────

async def cf_probe(proxy, sem, timeout):
    """One warm-up request opens the tunnel + TLS, then the next request on the same
    kept-alive connection is timed — so the figure is the edge round-trip, not the
    one-off connection setup."""
    async with sem:
        auth = aiohttp.BasicAuth(proxy["user"], proxy["pwd"]) if proxy["user"] else None
        try:
            async with aiohttp.ClientSession(connector=aiohttp.TCPConnector(limit=2, ssl=False)) as sess:
                async with sess.get(CF_TRACE, proxy=proxy["url"], proxy_auth=auth,
                                    timeout=aiohttp.ClientTimeout(total=15)) as w:
                    await w.read()
                t0 = time.perf_counter()
                async with sess.get(CF_TRACE, proxy=proxy["url"], proxy_auth=auth,
                                    timeout=aiohttp.ClientTimeout(total=timeout)) as r:
                    txt = await r.text()
                    rtt = (time.perf_counter() - t0) * 1000
                    if r.status != 200:
                        return {"ok": False, "error": f"HTTP {r.status}"}
                    d = {}
                    for ln in txt.splitlines():
                        if "=" in ln:
                            k, v = ln.split("=", 1)
                            d[k] = v
                    return {"ok": True, "rtt": rtt, "ip": d.get("ip", ""),
                            "loc": d.get("loc", ""), "colo": d.get("colo", "")}
        except asyncio.TimeoutError:
            return {"ok": False, "error": "timeout"}
        except Exception as e:
            return {"ok": False, "error": type(e).__name__}


# ── download (throughput + TTFB + mid-transfer drops) ──────────────────────────

async def download(proxy, sem, idx, timeout, retries):
    async with sem:
        auth = aiohttp.BasicAuth(proxy["user"], proxy["pwd"]) if proxy["user"] else None
        last_err = ""
        dropped_at = []
        for attempt in range(1, retries + 2):
            try:
                async with aiohttp.ClientSession(connector=aiohttp.TCPConnector(limit=4, ssl=False)) as sess:
                    country = "?"
                    try:
                        async with sess.get(CF_TRACE, proxy=proxy["url"], proxy_auth=auth,
                                            timeout=aiohttp.ClientTimeout(total=15)) as tr:
                            for ln in (await tr.text()).splitlines():
                                if ln.startswith("loc="):
                                    country = ln[4:].strip() or "?"
                    except Exception:
                        pass
                    t0 = time.perf_counter()
                    async with sess.get(DOWN_URL, proxy=proxy["url"], proxy_auth=auth,
                                        timeout=aiohttp.ClientTimeout(total=timeout)) as r:
                        if r.status != 200:
                            last_err = f"HTTP {r.status}"
                            continue
                        first = None
                        nbytes = 0
                        try:
                            async for chunk in r.content.iter_chunked(65536):
                                if first is None:
                                    first = time.perf_counter()
                                nbytes += len(chunk)
                        except Exception as stream_err:
                            if nbytes > 0:
                                dropped_at.append(nbytes)
                                last_err = f"dropped@{nbytes // 1_000_000}MB"
                            else:
                                last_err = type(stream_err).__name__
                            continue
                        end = time.perf_counter()
                        if nbytes == 0:
                            last_err = "empty"
                            continue
                        ttfb = (first - t0) * 1000 if first else 0
                        dl_time = (end - first) if first and end > first else (end - t0)
                        mbps = (nbytes / 1_000_000) / dl_time if dl_time > 0 else 0
                        return {"idx": idx, "ok": True, "country": country, "bytes": nbytes,
                                "ttfb_ms": ttfb, "mbps": mbps, "dropped": bool(dropped_at), "error": ""}
            except asyncio.TimeoutError:
                last_err = "timeout"
            except Exception as e:
                last_err = type(e).__name__
        return {"idx": idx, "ok": False, "country": "?", "bytes": 0, "ttfb_ms": 0,
                "mbps": 0, "dropped": bool(dropped_at), "error": last_err}


# ── Scamalytics scoring ────────────────────────────────────────────────────────

def load_creds():
    user = os.environ.get("SCAMALYTICS_USER")
    key = os.environ.get("SCAMALYTICS_KEY")
    if user and key:
        return user.strip(), key.strip()
    found = {}
    for path in ("../.env", "../.env.local", ".env"):
        p = os.path.join(os.path.dirname(__file__), path)
        if os.path.exists(p):
            with open(p, encoding="utf-8") as f:
                for line in f:
                    m = re.match(r'\s*(SCAMALYTICS_USER|SCAMALYTICS_KEY)\s*=\s*"?([^"\s]+)"?', line)
                    if m:
                        found[m.group(1)] = m.group(2)
    return found.get("SCAMALYTICS_USER"), found.get("SCAMALYTICS_KEY")


def parse_scam(ip, data):
    s = data.get("scamalytics", {})
    if s.get("status") != "ok":
        return {"ip": ip, "ok": False, "error": s.get("status") or "bad_response"}
    ext = data.get("external_datasources", {})
    score = s.get("scamalytics_score")
    risk = s.get("scamalytics_risk", "?")
    px = s.get("scamalytics_proxy", {})
    is_dc = bool(px.get("is_datacenter"))
    is_vpn = bool(px.get("is_vpn"))
    fh = bool(ext.get("firehol", {}).get("is_proxy"))
    ips_bl = bool(ext.get("ipsum", {}).get("ip_blacklisted"))
    sh = bool(ext.get("spamhaus_drop", {}).get("ip_blacklisted"))
    x4 = bool(ext.get("x4bnet", {}).get("is_blacklisted_spambot"))
    on_bl = bool(s.get("is_blacklisted_external")) or fh or ips_bl or sh or x4
    cc = (ext.get("dbip", {}).get("ip_country_code")
          or ext.get("ipinfo", {}).get("ip_country_code")
          or ext.get("maxmind_geolite2", {}).get("ip_country_code")
          or ext.get("ip2proxy_lite", {}).get("ip_country_code") or "?")
    isp = (ext.get("dbip", {}).get("isp_name")
           or ext.get("ip2proxy_lite", {}).get("isp_name")
           or s.get("scamalytics_isp") or "?")
    asn = ext.get("ipinfo", {}).get("asn") or ext.get("ip2proxy_lite", {}).get("asn") or "?"
    return {"ip": ip, "ok": True, "error": "", "score": score if isinstance(score, int) else 0,
            "risk": risk, "is_dc": is_dc, "is_vpn": is_vpn, "on_bl": on_bl,
            "country": cc, "isp": isp, "asn": asn,
            "credits": s.get("credits", {}).get("remaining"),
            "strict_clean": (risk == "low" and not is_dc and not on_bl)}


async def score_one(session, user, key, ip, sem):
    async with sem:
        try:
            async with session.get(f"{SCAM_HOST}/{user}/", params={"key": key, "ip": ip},
                                   timeout=aiohttp.ClientTimeout(total=20)) as r:
                return parse_scam(ip, await r.json(content_type=None))
        except Exception as e:
            return {"ip": ip, "ok": False, "error": type(e).__name__}


# ── stage runners ──────────────────────────────────────────────────────────────

def progress(tag, done, total):
    step = max(1, total // 10)
    if done % step == 0 or done == total:
        console.print(f"   [{tag}] {done}/{total}", highlight=False)


async def run_ipapi(proxies, n, concurrency, timeout, retries, tag):
    sem = asyncio.Semaphore(concurrency)
    conn = aiohttp.TCPConnector(limit=concurrency * 3, ssl=False)
    out = []
    async with aiohttp.ClientSession(connector=conn) as http:
        tasks = [asyncio.create_task(fetch(http, proxies[i % len(proxies)], sem, i, timeout, retries))
                 for i in range(n)]
        for done, coro in enumerate(asyncio.as_completed(tasks), 1):
            out.append(await coro)
            progress(tag, done, n)
    return out


async def run_cf(proxies, n, concurrency, timeout, tag):
    sem = asyncio.Semaphore(concurrency)
    tasks = [asyncio.create_task(cf_probe(proxies[i % len(proxies)], sem, timeout))
             for i in range(n)]
    out = []
    for done, coro in enumerate(asyncio.as_completed(tasks), 1):
        out.append(await coro)
        progress(tag, done, n)
    return out


async def run_download(proxies, n, timeout, retries, tag):
    sem = asyncio.Semaphore(DOWN_CONCURRENCY)
    tasks = [asyncio.create_task(download(proxies[i % len(proxies)], sem, i, timeout, retries))
             for i in range(n)]
    out = []
    for done, coro in enumerate(asyncio.as_completed(tasks), 1):
        out.append(await coro)
        progress(tag, done, n)
    return out


async def score_ips(ips, user, key, tag):
    sem = asyncio.Semaphore(SCORE_CONCURRENCY)
    out = []
    async with aiohttp.ClientSession() as session:
        tasks = [asyncio.create_task(score_one(session, user, key, ip, sem)) for ip in ips]
        for done, coro in enumerate(asyncio.as_completed(tasks), 1):
            out.append(await coro)
            progress(tag, done, len(ips))
    return out


# ── input ──────────────────────────────────────────────────────────────────────

def read_proxies(path):
    if path:
        with open(path, encoding="utf-8") as f:
            lines = f.readlines()
    else:
        console.print("Paste proxies (one per line), then an empty line:")
        lines = []
        while True:
            try:
                ln = input()
            except EOFError:
                break
            if ln.strip() == "":
                if lines:
                    break
                continue
            lines.append(ln)
    return [p for p in (parse_proxy(l) for l in lines) if p]


def fmt(v, suffix=""):
    return f"{v}{suffix}"


# ── main ─────────────────────────────────────────────────────────────────────

def build_report(M):
    t = Table(title="POOL BENCHMARK — RESULTS", box=box.DOUBLE_EDGE, header_style="bold cyan",
              title_style="bold green")
    t.add_column("Metric", style="cyan")
    t.add_column("Value", style="bold white", justify="right")
    for section, rows in M["sections"]:
        t.add_row(f"[bold yellow]{section}[/]", "")
        for k, v in rows:
            t.add_row(f"  {k}", str(v))
    console.print()
    console.print(t)


async def run(args, proxies):
    M = {"label": args.label, "country": args.country or None,
         "timestamp": datetime.now().isoformat(timespec="seconds"),
         "proxies_input": len(proxies), "stages": {}}
    user = key = None

    # 1 — cleanliness (Scamalytics)

    clean_rows = []
    if not args.no_quality and args.quality > 0:
        user, key = load_creds()
        if not user or not key:
            console.print("[yellow]Scamalytics key not found — skipping cleanliness stage.[/]")
        else:
            console.rule(f"[bold]Cleanliness — {args.quality} IPs[/]")
            collected = await run_ipapi(proxies, int(args.quality * 1.6) + 10,
                                        args.concurrency, 15, 1, "collect")
            uniq = {}
            for r in collected:
                if r.get("ok") and r.get("ip") and r["ip"] not in uniq:
                    uniq[r["ip"]] = r
            ips = list(uniq.keys())[:args.quality]
            scored = await score_ips(ips, user, key, "score")
            ok = [r for r in scored if r.get("ok")]
            n = len(ok)
            if n:
                strict = sum(r["strict_clean"] for r in ok) / n * 100
                low = sum(1 for r in ok if r["risk"] == "low") / n * 100
                dc = sum(r["is_dc"] for r in ok) / n * 100
                bl = sum(r["on_bl"] for r in ok) / n * 100
                vpn = sum(r["is_vpn"] for r in ok)
                geo = None
                if args.country:
                    geo = sum(1 for r in ok if (r["country"] or "").upper() == args.country.upper()) / n * 100
                M["stages"]["cleanliness"] = {
                    "n": n, "strict_clean_pct": round(strict, 1), "low_risk_pct": round(low, 1),
                    "datacenter_pct": round(dc, 1), "blacklist_pct": round(bl, 1),
                    "geo_accuracy_pct": round(geo, 1) if geo is not None else None, "vpn": vpn}
                clean_rows = [("Strictly clean", f"{strict:.1f}%"),
                              ("Low fraud-risk (0–19)", f"{low:.1f}%"),
                              ("Datacenter", f"{dc:.1f}%"),
                              ("Blacklisted", f"{bl:.1f}%")]
                if geo is not None:
                    clean_rows.append((f"Geo-accuracy ({args.country.upper()})", f"{geo:.1f}%"))
                # per-IP CSV

                ts = datetime.now().strftime("%Y%m%d_%H%M%S")
                with open(f"benchmark_ips_{ts}.csv", "w", newline="", encoding="utf-8") as f:
                    w = csv.writer(f)
                    w.writerow(["ip", "score", "risk", "is_datacenter", "is_vpn", "on_blacklist",
                                "country", "isp", "asn", "strict_clean"])
                    for r in scored:
                        if r.get("ok"):
                            w.writerow([r["ip"], r["score"], r["risk"], r["is_dc"], r["is_vpn"],
                                        r["on_bl"], r["country"], r["isp"], r["asn"], r["strict_clean"]])

    # 2 — throughput

    console.rule(f"[bold]Throughput — {args.downloads} downloads[/]")
    dl = await run_download(proxies, args.downloads, 60, 1, "download")
    dok = [r for r in dl if r["ok"]]
    dl_rows = []
    if dok:
        mbps = [r["mbps"] for r in dok]
        ttfb = [r["ttfb_ms"] for r in dok]
        nodrop = sum(1 for r in dl if r["ok"] and not r["dropped"]) / len(dl) * 100
        M["stages"]["throughput"] = {
            "n": len(dl), "ok": len(dok),
            "median_mbps": round(statistics.median(mbps), 2), "p95_mbps": round(pct(mbps, 95), 2),
            "median_ttfb_ms": round(statistics.median(ttfb)), "completed_no_drop_pct": round(nodrop, 1)}
        dl_rows = [("Median download", f"{statistics.median(mbps):.1f} MB/s ({statistics.median(mbps)*8:.0f} Mbps)"),
                   ("p95 download", f"{pct(mbps,95):.1f} MB/s ({pct(mbps,95)*8:.0f} Mbps)"),
                   ("Median TTFB", f"{statistics.median(ttfb):.0f} ms"),
                   ("Completed without drop", f"{nodrop:.0f}%")]

    # 3 — latency (Cloudflare edge + ip-api origin)

    console.rule(f"[bold]Latency — {args.latency} probes[/]")
    cf = await run_cf(proxies, args.latency, args.concurrency, 15, "cf")
    cfok = [r for r in cf if r["ok"]]
    lat_rows = []
    if cfok:
        rtts = [r["rtt"] for r in cfok]
        colo = Counter(r["colo"] for r in cfok if r["colo"]).most_common(1)
        M["stages"].setdefault("latency", {})
        M["stages"]["latency"]["cloudflare"] = {
            "n": len(cfok), "p50_ms": round(statistics.median(rtts)),
            "p90_ms": round(pct(rtts, 90)), "p95_ms": round(pct(rtts, 95)),
            "top_colo": colo[0][0] if colo else None}
        lat_rows += [("Cloudflare edge — p50", f"{statistics.median(rtts):.0f} ms"),
                     ("Cloudflare edge — p90", f"{pct(rtts,90):.0f} ms"),
                     ("Cloudflare edge — p95", f"{pct(rtts,95):.0f} ms")]
        if colo:
            lat_rows.append(("Nearest datacenter", colo[0][0]))

    # 4 — rotation (also yields ip-api round-trip latency)

    console.rule(f"[bold]Rotation — {args.rotation} requests[/]")
    rot = await run_ipapi(proxies, args.rotation, args.concurrency, args.timeout, 2, "rotation")
    rok = [r for r in rot if r["ok"]]
    rot_rows = []
    if rok:
        uips = {r["ip"] for r in rok if r.get("ip")}
        uasn = {r["asn"] for r in rok if r.get("asn")}
        usub = {r["subnet"] for r in rok if r.get("subnet")}
        success = len(rok) / len(rot) * 100
        first = sum(1 for r in rok if r.get("first_try_ok")) / len(rot) * 100
        cmatch = None
        if args.country:
            cmatch = sum(1 for r in rok if (r["cc"] or "").upper() == args.country.upper()) / len(rok) * 100
        ipapi_rtts = [r["latency"] for r in rok]
        M["stages"]["rotation"] = {
            "n": len(rot), "success_pct": round(success, 1), "first_try_pct": round(first, 1),
            "unique_ips": len(uips), "unique_asns": len(uasn), "unique_subnets": len(usub),
            "country_match_pct": round(cmatch, 2) if cmatch is not None else None}
        M["stages"].setdefault("latency", {})
        M["stages"]["latency"]["ip_api"] = {
            "n": len(ipapi_rtts), "p50_ms": round(statistics.median(ipapi_rtts)),
            "p90_ms": round(pct(ipapi_rtts, 90))}
        lat_rows += [("ip-api origin — p50", f"{statistics.median(ipapi_rtts):.0f} ms"),
                     ("ip-api origin — p90", f"{pct(ipapi_rtts,90):.0f} ms")]
        rot_rows = [("Success rate", f"{success:.1f}%"),
                    ("First-try success", f"{first:.1f}%"),
                    ("Unique exit IPs", f"{len(uips)}"),
                    ("Unique networks (ASN)", f"{len(uasn)}"),
                    ("Unique /24 subnets", f"{len(usub)}")]
        if cmatch is not None:
            rot_rows.append((f"Country match ({args.country.upper()})", f"{cmatch:.2f}%"))

    M["sections"] = [s for s in [
        ("CLEANLINESS", clean_rows), ("LATENCY", lat_rows),
        ("ROTATION", rot_rows), ("THROUGHPUT", dl_rows)] if s[1]]
    build_report(M)

    out_path = args.json or f"benchmark_{args.label}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
    M.pop("sections", None)
    with open(out_path, "w", encoding="utf-8") as f:
        json.dump(M, f, indent=2, ensure_ascii=False)
    console.print(f"\n[green]✓[/] Saved: [bold]{out_path}[/]")


def main():
    ap = argparse.ArgumentParser(description="Jetproxy pool benchmark")
    ap.add_argument("--quality", type=int, default=100, help="IPs scored for cleanliness")
    ap.add_argument("--downloads", type=int, default=50, help="download samples")
    ap.add_argument("--latency", type=int, default=1000, help="latency probes")
    ap.add_argument("--rotation", type=int, default=2000, help="rotation requests")
    ap.add_argument("--concurrency", type=int, default=20)
    ap.add_argument("--timeout", type=float, default=15.0)
    ap.add_argument("--country", default="", help="expected ISO code for geo-accuracy")
    ap.add_argument("--proxies", default="", help="proxy list file (else paste)")
    ap.add_argument("--label", default="pool")
    ap.add_argument("--json", default="")
    ap.add_argument("--no-quality", action="store_true", help="skip the cleanliness stage")
    args = ap.parse_args()

    console.print("\n[bold cyan]═══  JETPROXY — POOL BENCHMARK  ═══[/]\n")
    proxies = read_proxies(args.proxies)
    if not proxies:
        console.print("[red]No valid proxies.[/]")
        return
    console.print(f"[green]✓[/] Proxies loaded: [bold]{len(proxies)}[/]")
    asyncio.run(run(args, proxies))


if __name__ == "__main__":
    try:
        main()
    except KeyboardInterrupt:
        console.print("\n[yellow]Interrupted.[/]")

Targetkan hingga ke level kota

«Rata-rata online» adalah jumlah rata-rata perangkat berbeda yang terhubung dan tersedia pada saat bersamaan — bukan total kumulatif. Dikelompokkan menjadi Tinggi / Sedang / Rendah.

WilayahKotaPenyedia

Wilayah	Latensi	Rata-rata online	Pool
New Taipei City	142 ms	~2.265	Tinggi
Taipei City	144 ms	~2.208	Tinggi
Taichung City	146 ms	~1.855	Tinggi
Kaohsiung	151 ms	~1.483	Tinggi
Taoyuan	145 ms	~1.394	Tinggi
Tainan	151 ms	~887	Tinggi
Changhua	149 ms	~530	Tinggi
Hsinchu City	147 ms	~457	Sedang
Taiwan	144 ms	~370	Sedang
Yilan County	151 ms	~326	Sedang
Pingtung	152 ms	~284	Sedang
Miaoli	144 ms	~244	Sedang
Chiayi	157 ms	~197	Sedang
Taitung	151 ms	~184	Sedang
Hsinchu County	148 ms	~166	Rendah
Hualien County	141 ms	~144	Rendah
Nantou	141 ms	~89	Rendah
Yunlin	143 ms	~58	Rendah
Keelung City	149 ms	~49	Rendah
Chiyayi County	147 ms	~29	Rendah
Taipei	183 ms	~13	Rendah

Kota	Latensi	Rata-rata online	Pool
Taipei	144 ms	~2.392	Tinggi
Taichung	146 ms	~1.910	Tinggi
New Taipei City	141 ms	~1.800	Tinggi
Kaohsiung	151 ms	~1.547	Tinggi
Tainan	151 ms	~906	Tinggi
Taoyuan	146 ms	~873	Tinggi
Hsinchu	147 ms	~491	Tinggi
Zhongli District	145 ms	~479	Tinggi
Chang-hua	147 ms	~327	Tinggi
Yilan	151 ms	~322	Sedang
Banqiao	145 ms	~298	Sedang
Pingtung City	153 ms	~272	Sedang
Chiayi City	157 ms	~234	Sedang
Miaoli	144 ms	~217	Sedang
Taitung	151 ms	~198	Sedang
Zhubei	148 ms	~176	Sedang
Changhua	148 ms	~134	Rendah
Sanchong District	140 ms	~129	Rendah
Hualien City	140 ms	~117	Rendah
Xizhi District	146 ms	~83	Rendah
Neihu District	150 ms	~79	Rendah
Yuanlin	157 ms	~74	Rendah
Bade District	153 ms	~64	Rendah
Douliu	142 ms	~57	Rendah
Keelung	149 ms	~52	Rendah

Penyedia	Latensi	Rata-rata online	Pool
Chunghwa Telecomseluler	147 ms	~9.557	Tinggi
kbrotetap	144 ms	~984	Tinggi
Hoshin Multimedia Centertetap	148 ms	~708	Tinggi
UBBNETtetap	145 ms	~651	Tinggi
TBCOMtetap	149 ms	~519	Tinggi
Digital Unitedtetap	139 ms	~211	Sedang
So-net Taiwantetap	139 ms	~146	Sedang
Ncicnettetap	140 ms	~146	Sedang
Asia Pacific On-line Servicetetap	137 ms	~88	Sedang
Koos Broadband Telecomtetap	146 ms	~74	Rendah
Taiwan Fixedtetap	146 ms	~44	Rendah
Vee Timetetap	132 ms	~42	Rendah
DADAtetap	127 ms	~32	Rendah
HLCATVtetap	145 ms	~30	Rendah

Akurasi geo — setiap IP yang dijual sebagai Taiwan terpetakan ke Taiwan di tiga basis data geo independen (db-ip, MaxMind, ipinfo); akurasi geo yang tinggi adalah sinyal yang diandalkan oleh geo-gate lokal.

Proxy Taiwan berdasarkan kasus penggunaan

Disusun berdasarkan apa yang Anda lakukan, bukan berdasarkan platform. Layanan lokal dicantumkan di tempat yang relevan.

E-commerce & riset pasar

Periksa etalase, harga, dan listing lokal dari dalam pasar itu sendiri.

Pemantauan etalase
Pelacakan harga lokal
Riset penjual

PChome 24hmomo購物網 (momoshop)Shopee Taiwan (蝦皮購物)Yahoo奇摩購物中心books.com.tw (博客來)

Verifikasi & performa iklan

Lihat bagaimana iklan, materi kreatif, dan SERP tampil bagi pengguna lokal — tanpa pergantian manual.

SERP lokal
Pengecekan kreatif
Halaman landing

LINEFacebookInstagramDcardPTT

Perjalanan & intelijen harga

Tangkap tarif penerbangan dan hotel sebagaimana dilihat oleh pelanggan lokal.

Tarif berbasis geo
Pemantauan penawaran
Perbandingan tarif

KlookKKdayezTravel (易遊網)Lion Travel (雄獅旅遊)China Airlines (中華航空)

Streaming & verifikasi geo

Verifikasi katalog yang dikunci wilayah dan geo-gate dari lokasi yang tepat.

Pengecekan geo
Verifikasi katalog
Ketersediaan regional

LINE TVHami Video (中華電信)friDay影音KKTVLiTV

Iklan baris & listing lokal

Pantau barang bekas, mobil, dan sewaan di berbagai iklan baris lokal.

Pemantauan listing
Pelacakan harga
Cakupan regional

Ruten (露天市集)Carousell Taiwan (旋轉拍賣)8591寶物交易 (game items/accounts)8891汽車機車 (cars & motorcycles)abc好車網 (used cars)

Dev & otomasi

IP residensial untuk pipeline, pengujian, dan pengumpulan data yang diizinkan melalui API.

Integrasi pipeline
Manajemen API
Sesi sticky

PythonScrapycURLGitHub

Selain situs lokal, pool Taiwan yang sama juga berfungsi untuk platform global besar — Google, Meta, Amazon, YouTube, TikTok, dan Netflix — dilihat dari locale Taiwan: harga lokal, iklan, katalog, SERP, dan konten.

Developer API

Buat endpoint dengan cakupan Taiwan di dashboard, salin snippet yang sudah teruji, atau otomatiskan daftar proxy melalui API publik. Kota, ISP, sesi sticky, dan daftar tersimpan tetap dalam satu alur kerja yang rapi.

Dokumentasi API

1import requests
2 
3headers = {"x-api-key": "gpx_live_YOUR_KEY"}
4payload = {
5  "country_code": "TW",
6  "city": "Taipei",
7  "session_type": "sticky",
8  "quantity": 5,
9  "protocol": "socks5"
10}
11 
12response = requests.post(
13  "https://jetproxy.io/api/v1/generate",
14  headers=headers,
15  json=payload,
16  timeout=30
17)
18print(response.json()["proxies"])

Paket tanpa syarat tersembunyi

Semakin besar volume, semakin rendah harga per gigabyte. Tanpa langganan atau biaya tersembunyi.

1 GB$3.70

$3.70 / GB

Pilih

5 GB$18.00

$3.60 / GB

Pilih

10 GB$34.50

$3.45 / GB

Pilih

Populer

25 GB$80.00

$3.20 / GB

Pilih

50 GB$147.50

$2.95 / GB

Pilih

100 GB$270.00

$2.70 / GB

Pilih

250 GB$612.50

$2.45 / GB

Pilih

500 GB$1,100.00

$2.20 / GB

Pilih

1 TB$2,000.00

$2.00 / GB

Pilih

Paket

Harga per GB

Total

1 GB

$3.70 / GB

$3.70Pilih

5 GB

$3.60 / GB

$18.00Pilih

10 GB

$3.45 / GB

$34.50Pilih

Populer

25 GB

$3.20 / GB

$80.00Pilih

50 GB

$2.95 / GB

$147.50Pilih

100 GB

$2.70 / GB

$270.00Pilih

250 GB

$2.45 / GB

$612.50Pilih

500 GB

$2.20 / GB

$1,100.00Pilih

1 TB

$2.00 / GB

$2,000.00Pilih

Metode pembayaran yang tersedia

Pertanyaan yang benar-benar ditanyakan pembeli

Masih menimbang apakah pool Taiwan cocok untuk kasus penggunaan Anda? Tim kami menjawab pertanyaan nyata di Telegram, sepanjang waktu — sebelum dan sesudah Anda membeli.

Ngobrol di Telegram

Apakah ini berfungsi untuk scraping PChome 24h dan momoshop?

Itulah use case utamanya. Pool ini benar-benar residensial — ciri yang dicari sistem anti-bot marketplace lokal — sehingga IP ini lolos padahal rentang datacenter justru diblokir. Hasilnya tetap bergantung pada fingerprint, header dan ritme permintaan Anda, jadi pasangkan proxy dengan setup yang bersih dan zona waktu Taipei yang sesuai (CST, UTC+8).

Bisakah saya menargetkan kota tertentu seperti Taipei atau Taichung?

Bisa, selama kedalaman pool memungkinkan — pilih kotanya saat Anda men-generate daftar proxy. Tabel cakupan kami menampilkan konkurensi real-time untuk Taipei, Taichung, New Taipei City, Kaohsiung, Tainan, Taoyuan dan lainnya, sehingga Anda dapat melihat kota mana yang memiliki rotasi terdalam sebelum memutuskan.

Apakah IP-nya tergeolokasi di dalam Taiwan?

Ya — pool ini ter-resolve ke Taiwan dengan akurasi geo 99.98% saat diuji terhadap Cloudflare dan di berbagai basis data geo independen pada benchmark terakhir kami, dengan exit node yang terkonfirmasi di Taipei (TPE) dan Kaohsiung (KHH). Akurasi geo yang tinggi adalah sinyal mendasar yang diandalkan geo-gate Taiwan.

Bisakah saya mempertahankan satu IP Taiwan untuk alur multi-langkah?

Bisa. Gunakan sticky session untuk mempertahankan exit IP Taiwan yang sama — rata-rata bertahan sekitar 4,7 jam dan hingga 72 jam dalam pengukuran 3 hari kami. Untuk skala besar, rotasikan per permintaan: exit IP berubah pada sekitar 98% permintaan, biasanya berpindah ke provider yang berbeda, bukan sekadar alamat di sebelahnya.

Operator dan kota Taiwan mana saja yang tercakup?

Pool ini mencakup 14 ISP Taiwan yang dipimpin Chunghwa Telecom, kbro, TBCOM, UBBNET, Digital United dan Taiwan Fixed, di 21 wilayah dan 25 kota — dari Taipei, New Taipei City dan Taoyuan di utara hingga Taichung, Tainan dan Kaohsiung di bagian tengah dan selatan.