SEO 软件代理：Scrapebox、GSA、ZennoPoster

SEO 软件需要什么，套餐给了什么

SEO 工具是代理最挑剔的客户：线程多、目标多，对慢地址毫无耐心。

任务需要什么套餐提供什么

一个文件或 URL 里有数千个代理

2 号套餐：12,000 个地址、1,000 线程；3 号：20,000 个、2,000 线程

不用填用户名和密码

按 IP 访问：在个人中心添加机器，把链接粘贴到工具里

按工具需要支持 HTTP 和 SOCKS5

一个端口，两种协议；软件用它支持的那种

采集、发帖、检查都要流量

所有不限流量套餐都不计量

不限流量代理

按线程数选套餐

工具里的线程数要与套餐一致：GSA 开 1,000 线程，就需要 2 号或更大的套餐。

地区

套餐

时长

授权IP

1 第一个之后每个IP加价10%

本任务推荐

$0

套餐代理数
线程
授权IP1
协议HTTP / SOCKS5

购买代理免费试用 1 小时

价格表中的全部13个套餐

任何 SEO 工具都适用的三步

授权机器

添加运行软件的服务器 IP。一个套餐可以服务多台机器：每多一个 IP 价格加 10%。

让工具指向链接

Scrapebox：Proxy Manager，从 URL 载入。GSA：Options、Proxies，添加来源 URL。ZennoPoster：代理检查器，外部列表 URL。间隔设为 10 分钟。

让内置检查器工作

每个工具都会自己测试代理。保持开启：列表是新的，但失效地址仍应尽快离开工具的队列。

适用于 Scrapebox 和 GSA 的现成列表生成器

设置 COUNTRY、MIN_SPEED 和 MIN_UPTIME；脚本读取 CSV 导出，去除重复，写出工具可直接载入的 ip:port 文件。打开 VERIFY，会先通过每个地址访问一个测试 URL。同一文件也能在 Socks List Processor 中使用。

数值来自表单；复制或下载生成好的文件。

显示脚本代码

Python 3.8+ · seo.py

#!/usr/bin/env python3
"""Proxy list builder for Scrapebox, GSA and ZennoPoster.

Reads the CSV export from Advanced.name, keeps the country, speed and uptime you
want, removes duplicates and writes a plain ip:port file that any SEO tool loads.
Optionally verifies each address before writing. Standard library only.
Run: python3 build_list.py
"""

# ================================ CONFIG ====================================
CSV_URL = "https://get.advanced.name/YOUR_LIST_ID.csv"  # CSV export link from your dashboard
COUNTRY = ""            # "" for the whole pool, or an ISO code like DE, US
MIN_SPEED = 5           # keep proxies with speed >= this (higher is better)
MIN_UPTIME = 80         # keep proxies with uptime >= this percent
VERIFY = False          # True: open TEST_URL through each proxy and drop the dead ones
TEST_URL = "https://www.google.com/"
OUT_FILE = "proxies.txt"                 # ip:port per line, ready for the tool
THREADS = 200
TIMEOUT = 10
# ============================================================================

import csv
import io
import sys
import urllib.request
from concurrent.futures import ThreadPoolExecutor

COL_IP, COL_PORT, COL_COUNTRY, COL_SPEED, COL_UPTIME = 0, 1, 2, 3, 4


def load_proxies():
    raw = urllib.request.urlopen(CSV_URL, timeout=30).read().decode("utf-8", "replace")
    seen, pool = set(), []
    for row in csv.reader(io.StringIO(raw), delimiter=";"):
        if len(row) <= COL_UPTIME or not row[COL_PORT].strip().isdigit():
            continue
        addr = row[COL_IP].strip() + ":" + row[COL_PORT].strip()
        if addr in seen:
            continue
        if COUNTRY and row[COL_COUNTRY].strip().upper() != COUNTRY.upper():
            continue
        if int(row[COL_SPEED] or 0) < MIN_SPEED or int(row[COL_UPTIME] or 0) < MIN_UPTIME:
            continue
        seen.add(addr)
        pool.append(addr)
    return pool


def alive(proxy):
    handler = urllib.request.ProxyHandler({"http": "http://" + proxy, "https": "http://" + proxy})
    try:
        urllib.request.build_opener(handler).open(TEST_URL, timeout=TIMEOUT).read(1)
        return True
    except Exception:
        return False


def main():
    proxies = load_proxies()
    print("matched %d proxies (%s, speed>=%d, uptime>=%d%%)"
          % (len(proxies), COUNTRY or "any", MIN_SPEED, MIN_UPTIME))
    if VERIFY and proxies:
        with ThreadPoolExecutor(max_workers=THREADS) as pool:
            flags = list(pool.map(alive, proxies))
        proxies = [p for p, ok in zip(proxies, flags) if ok]
        print("verified alive: %d" % len(proxies))
    if not proxies:
        sys.exit("Nothing to write. Loosen MIN_SPEED / MIN_UPTIME or clear COUNTRY.")
    with open(OUT_FILE, "w", encoding="utf-8") as out:
        out.write("\n".join(proxies) + "\n")
    print("written %s (%d proxies)" % (OUT_FILE, len(proxies)))


if __name__ == "__main__":
    main()