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huangzhenpc
2025-07-18 13:52:41 +08:00
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config_enhanced_ads.json Normal file
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{
"proxy": {
"host": "your-proxy-host.com",
"port": "823",
"username": "your-username",
"password": "your-password"
},
"targets": {
"main_site": "https://game.586vip.cn/",
"game_page": "https://game.586vip.cn/games/2048/index.html"
},
"settings": {
"default_visits": 20,
"min_delay": 30,
"max_delay": 120,
"main_site_stay_time": [25, 60],
"game_page_stay_time": [30, 90]
},
"ad_settings": {
"enable_close_button_clicks": true,
"close_button_probability": 0.75,
"mobile_device_probability": 0.85,
"ad_annoyance_factor": 0.8,
"real_user_behavior": true
},
"supported_ad_types": [
"popup",
"interstitial",
"banner",
"native",
"side",
"bottom"
],
"user_behavior_config": {
"find_close_button_time": [0.5, 2.5],
"think_time": [2, 5],
"reaction_time": [1, 3],
"click_delay": [0.2, 0.8],
"relief_time": [0.5, 1.5]
},
"game_specific": {
"pre_game_ad_skip_rate": 0.7,
"mid_game_ad_close_rate": 0.8,
"post_game_ad_close_rate": 0.5,
"game_play_time": [30, 90]
}
}

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enhanced_ad_bot.py Normal file
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
增强版广告刷量机器人 (真实用户行为版)
专门用于与多种广告类型进行真实交互
包括模拟点击关闭按钮的真实用户行为
"""
import requests
import time
import random
import json
import os
import logging
from urllib.parse import urlparse, urljoin
import re
from real_user_database import RealUserDatabase
# 配置日志
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('enhanced_ad_bot.log', encoding='utf-8'),
logging.StreamHandler()
]
)
logger = logging.getLogger(__name__)
class EnhancedAdBot:
def __init__(self, config_file='config.json'):
"""
初始化增强版广告机器人
"""
self.config = self.load_config(config_file)
self.session = None
self.user_db = RealUserDatabase()
self.current_profile = None
self.current_behavior = None
# 🎯 广告类型和真实行为概率
self.ad_behaviors = {
"popup": {
"close_probability": 0.75, # 75%概率关闭弹窗
"click_probability": 0.15, # 15%概率点击广告
"ignore_probability": 0.10, # 10%概率忽略
"stay_time": (2, 8), # 停留时间范围
"annoyance_level": 0.8 # 用户讨厌程度
},
"interstitial": {
"close_probability": 0.60, # 60%概率关闭插页
"click_probability": 0.25, # 25%概率点击广告
"wait_probability": 0.15, # 15%概率等待倒计时
"stay_time": (5, 15), # 停留时间范围
"annoyance_level": 0.6 # 用户讨厌程度
},
"banner": {
"close_probability": 0.85, # 85%概率关闭横幅
"click_probability": 0.10, # 10%概率点击广告
"ignore_probability": 0.05, # 5%概率忽略
"stay_time": (1, 4), # 停留时间范围
"annoyance_level": 0.9 # 用户讨厌程度
},
"native": {
"close_probability": 0.45, # 45%概率关闭原生广告
"click_probability": 0.35, # 35%概率点击广告
"read_probability": 0.20, # 20%概率仔细阅读
"stay_time": (3, 12), # 停留时间范围
"annoyance_level": 0.3 # 用户讨厌程度较低
},
"side": {
"close_probability": 0.70, # 70%概率关闭侧边广告
"click_probability": 0.20, # 20%概率点击广告
"ignore_probability": 0.10, # 10%概率忽略
"stay_time": (1, 5), # 停留时间范围
"annoyance_level": 0.7 # 用户讨厌程度
},
"bottom": {
"close_probability": 0.80, # 80%概率关闭底部广告
"click_probability": 0.12, # 12%概率点击广告
"ignore_probability": 0.08, # 8%概率忽略
"stay_time": (1, 3), # 停留时间范围
"annoyance_level": 0.8 # 用户讨厌程度
}
}
# 🎮 游戏列表
self.games_list = [
{"name": "2048", "url": "/games/2048/index.html", "category": "puzzle"},
{"name": "Snake", "url": "/games/snake/index.html", "category": "arcade"},
{"name": "DIY Doll Factory", "url": "/games/iframe-games.html?game=diy-doll-factory", "category": "puzzle"},
{"name": "Super Sprunki Adventure", "url": "/games/iframe-games.html?game=super-sprunki-adventure", "category": "action"},
{"name": "FlightBird", "url": "/games/iframe-games.html?game=flightbird", "category": "action"},
]
# 🎯 真实的访问来源
self.traffic_sources = [
"https://www.google.com/search?q=free+online+games",
"https://www.google.com/search?q=2048+game+online",
"https://www.google.com/search?q=html5+games+mobile",
"https://www.google.com/search?q=在线小游戏",
"https://www.google.com/search?q=免费网页游戏",
"https://www.baidu.com/s?wd=2048数字游戏",
"https://www.reddit.com/r/WebGames/",
"https://github.com/topics/html5-game",
"https://news.ycombinator.com/",
]
# 📊 访问统计
self.visit_stats = {
"total_visits": 0,
"ad_interactions": {
"popup": {"shows": 0, "closes": 0, "clicks": 0},
"interstitial": {"shows": 0, "closes": 0, "clicks": 0},
"banner": {"shows": 0, "closes": 0, "clicks": 0},
"native": {"shows": 0, "closes": 0, "clicks": 0},
"side": {"shows": 0, "closes": 0, "clicks": 0},
"bottom": {"shows": 0, "closes": 0, "clicks": 0}
},
"total_ad_time": 0,
"close_button_clicks": 0,
"ad_content_clicks": 0
}
def load_config(self, config_file):
"""加载配置文件"""
try:
with open(config_file, 'r', encoding='utf-8') as f:
config = json.load(f)
logger.info(f"配置文件加载成功: {config_file}")
return config
except FileNotFoundError:
logger.error(f"配置文件未找到: {config_file}")
raise
except json.JSONDecodeError as e:
logger.error(f"配置文件格式错误: {e}")
raise
def setup_session(self):
"""设置请求会话"""
self.session = requests.Session()
self.session.cookies.clear()
# 生成真实用户配置
self.current_profile = self.user_db.get_random_user_profile()
self.current_behavior = self.user_db.get_visit_behavior()
# 设置代理
proxy_config = self.config.get('proxy')
if proxy_config:
proxy_url = f"http://{proxy_config['username']}:{proxy_config['password']}@{proxy_config['host']}:{proxy_config['port']}"
self.session.proxies = {
'http': proxy_url,
'https': proxy_url
}
logger.info(f"已配置代理: {proxy_config['host']}:{proxy_config['port']}")
# 🎯 真实用户代理 - 优先移动端
if random.random() < 0.85: # 85%概率使用移动端
mobile_agents = [
"Mozilla/5.0 (iPhone; CPU iPhone OS 17_1_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.1 Mobile/15E148 Safari/604.1",
"Mozilla/5.0 (iPhone; CPU iPhone OS 16_6_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.6 Mobile/15E148 Safari/604.1",
"Mozilla/5.0 (Linux; Android 14; SM-G991B) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Mobile Safari/537.36",
"Mozilla/5.0 (Linux; Android 13; SM-A515F) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Mobile Safari/537.36",
"Mozilla/5.0 (iPad; CPU OS 17_1_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.1 Mobile/15E148 Safari/604.1",
]
user_agent = random.choice(mobile_agents)
is_mobile = True
else:
user_agent = self.current_profile["user_agent"]
is_mobile = "Mobile" in user_agent
# 广告友好的请求头
headers = {
"User-Agent": user_agent,
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
"Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8",
"Accept-Encoding": "gzip, deflate, br",
"Connection": "keep-alive",
"Upgrade-Insecure-Requests": "1",
"Sec-Fetch-Dest": "document",
"Sec-Fetch-Mode": "navigate",
"Sec-Fetch-Site": "none",
"Sec-Fetch-User": "?1",
"Cache-Control": "max-age=0",
"DNT": "0", # 不启用DNT对广告友好
}
if is_mobile:
headers.update({
"Sec-CH-UA-Mobile": "?1",
"Viewport-Width": str(random.choice([375, 414, 390, 393, 412])),
})
self.session.headers.update(headers)
logger.info(f"🎭 增强版广告机器人配置:")
logger.info(f" 📱 移动端: {is_mobile}")
logger.info(f" 🎯 访问模式: {self.current_behavior['pattern_type']}")
logger.info(f" 😤 用户讨厌广告概率: 75%")
def simulate_traffic_source(self):
"""模拟真实的访问来源"""
source = random.choice(self.traffic_sources)
try:
logger.info(f"🔗 模拟从来源访问: {source}")
# 根据来源类型设置不同的行为
if "google.com" in source or "baidu.com" in source:
stay_time = random.uniform(2, 8)
logger.info(f"🔍 搜索引擎停留: {stay_time:.1f}")
elif "reddit.com" in source:
stay_time = random.uniform(8, 20)
logger.info(f"🔍 Reddit停留: {stay_time:.1f}")
elif "github.com" in source:
stay_time = random.uniform(5, 15)
logger.info(f"🔍 GitHub停留: {stay_time:.1f}")
else:
stay_time = random.uniform(3, 12)
logger.info(f"🔍 其他来源停留: {stay_time:.1f}")
# 模拟来源网站行为
self._simulate_source_behavior(stay_time)
# 设置referrer
self.session.headers.update({
'Referer': source,
'Sec-Fetch-Site': 'cross-site'
})
return True
except Exception as e:
logger.error(f"来源访问模拟失败: {e}")
return False
def _simulate_source_behavior(self, total_time):
"""模拟在来源网站的行为"""
actions = ["浏览搜索结果", "阅读页面内容", "查看相关链接", "滚动浏览页面"]
segments = random.randint(2, 4)
segment_time = total_time / segments
for i in range(segments):
if i > 0:
time.sleep(random.uniform(0.5, 2))
action = random.choice(actions)
logger.info(f" 🔍 {action}")
time.sleep(segment_time * random.uniform(0.7, 1.3))
def visit_homepage_with_enhanced_ads(self):
"""访问增强版首页并进行真实广告交互"""
main_site = self.config['targets']['main_site']
try:
logger.info(f"🏠 访问增强版首页: {main_site}")
# 访问前延迟
pre_delay = random.uniform(2, 5)
logger.info(f"🕐 访问前延迟: {pre_delay:.1f}")
time.sleep(pre_delay)
# 发起请求
response = self.session.get(main_site, timeout=20, allow_redirects=True)
if response.status_code == 200:
logger.info(f"✅ 首页访问成功 ({response.status_code})")
logger.info(f"📦 页面大小: {len(response.content)} 字节")
# 🎯 核心:模拟真实的多广告交互
self._simulate_enhanced_ad_interactions(response)
return True
else:
logger.error(f"❌ 首页访问失败 ({response.status_code})")
return False
except Exception as e:
logger.error(f"首页访问出错: {e}")
return False
def _simulate_enhanced_ad_interactions(self, response):
"""模拟增强版广告交互 - 真实用户行为"""
base_url = response.url
# 首页总停留时间
homepage_stay_time = random.uniform(25, 60) # 25-60秒
logger.info(f"🏠 首页总停留时间: {homepage_stay_time:.1f}")
# 阶段性广告交互
ad_interaction_phases = [
{"name": "页面加载阶段", "duration": 0.15, "ads": ["side", "bottom"]},
{"name": "内容浏览阶段", "duration": 0.25, "ads": ["banner", "native"]},
{"name": "弹窗广告阶段", "duration": 0.30, "ads": ["popup", "interstitial"]},
{"name": "深度浏览阶段", "duration": 0.30, "ads": ["all"]}
]
for phase in ad_interaction_phases:
phase_time = homepage_stay_time * phase["duration"]
logger.info(f"🎯 {phase['name']}: {phase_time:.1f}")
# 在每个阶段处理对应的广告
if phase["ads"] == ["all"]:
# 处理所有剩余广告
self._handle_all_remaining_ads(base_url, phase_time)
else:
# 处理特定广告类型
for ad_type in phase["ads"]:
self._handle_specific_ad_type(base_url, ad_type, phase_time / len(phase["ads"]))
# 📊 输出广告交互统计
self._log_ad_interaction_stats()
def _handle_specific_ad_type(self, base_url, ad_type, allocated_time):
"""处理特定类型的广告"""
if ad_type not in self.ad_behaviors:
return
behavior = self.ad_behaviors[ad_type]
logger.info(f" 📺 处理{ad_type}广告 (分配时间: {allocated_time:.1f}秒)")
# 记录广告显示
self.visit_stats["ad_interactions"][ad_type]["shows"] += 1
# 模拟广告显示延迟
display_delay = random.uniform(0.5, 2.5)
logger.info(f" 🔄 广告显示延迟: {display_delay:.1f}")
time.sleep(display_delay)
# 模拟用户看到广告的反应时间
reaction_time = random.uniform(1, 3)
logger.info(f" 👀 用户反应时间: {reaction_time:.1f}")
time.sleep(reaction_time)
# 根据广告类型和用户心理决定行为
user_action = self._decide_user_action(ad_type, behavior)
# 执行用户行为
self._execute_user_action(base_url, ad_type, user_action, allocated_time - display_delay - reaction_time)
def _decide_user_action(self, ad_type, behavior):
"""基于用户心理决定对广告的行为"""
# 考虑用户的讨厌程度
annoyance_factor = behavior["annoyance_level"]
# 考虑当前时间段(用户在不同时间对广告的容忍度不同)
time_factor = self._get_time_tolerance_factor()
# 综合讨厌程度
final_annoyance = min(annoyance_factor * time_factor, 1.0)
# 随机数决定行为
rand = random.random()
if rand < behavior["close_probability"] * final_annoyance:
return "close"
elif rand < behavior["close_probability"] * final_annoyance + behavior["click_probability"]:
return "click"
elif hasattr(behavior, "read_probability") and rand < behavior["close_probability"] * final_annoyance + behavior["click_probability"] + behavior.get("read_probability", 0):
return "read"
elif hasattr(behavior, "wait_probability") and rand < behavior["close_probability"] * final_annoyance + behavior["click_probability"] + behavior.get("wait_probability", 0):
return "wait"
else:
return "ignore"
def _get_time_tolerance_factor(self):
"""获取时间容忍度因子"""
current_hour = time.localtime().tm_hour
if 9 <= current_hour <= 18: # 工作时间
return 1.2 # 更讨厌广告
elif 19 <= current_hour <= 23: # 休闲时间
return 0.8 # 相对容忍
else: # 深夜
return 1.0 # 普通
def _execute_user_action(self, base_url, ad_type, action, remaining_time):
"""执行用户对广告的行为"""
logger.info(f" 🎯 用户行为: {action}")
if action == "close":
self._simulate_close_ad(base_url, ad_type, remaining_time)
elif action == "click":
self._simulate_click_ad(base_url, ad_type, remaining_time)
elif action == "read":
self._simulate_read_ad(base_url, ad_type, remaining_time)
elif action == "wait":
self._simulate_wait_ad(base_url, ad_type, remaining_time)
else: # ignore
self._simulate_ignore_ad(base_url, ad_type, remaining_time)
def _simulate_close_ad(self, base_url, ad_type, time_budget):
"""模拟点击关闭广告按钮 - 真实用户行为"""
logger.info(f" ❌ 关闭{ad_type}广告")
# 模拟寻找关闭按钮的时间
find_close_time = random.uniform(0.5, 2.5)
logger.info(f" 🔍 寻找关闭按钮: {find_close_time:.1f}")
time.sleep(find_close_time)
# 模拟点击关闭按钮
click_delay = random.uniform(0.2, 0.8)
logger.info(f" 🖱️ 点击关闭按钮")
time.sleep(click_delay)
# 模拟关闭按钮点击请求
self._send_close_ad_request(base_url, ad_type)
# 记录统计
self.visit_stats["ad_interactions"][ad_type]["closes"] += 1
self.visit_stats["close_button_clicks"] += 1
# 关闭后的心理释放时间
relief_time = random.uniform(0.5, 1.5)
logger.info(f" 😌 关闭后释放: {relief_time:.1f}")
time.sleep(relief_time)
def _simulate_click_ad(self, base_url, ad_type, time_budget):
"""模拟点击广告内容"""
logger.info(f" 🖱️ 点击{ad_type}广告内容")
# 模拟思考时间
think_time = random.uniform(2, 5)
logger.info(f" 🤔 思考时间: {think_time:.1f}")
time.sleep(think_time)
# 模拟点击广告
click_delay = random.uniform(0.3, 1.0)
time.sleep(click_delay)
# 模拟广告点击请求
self._send_ad_click_request(base_url, ad_type)
# 记录统计
self.visit_stats["ad_interactions"][ad_type]["clicks"] += 1
self.visit_stats["ad_content_clicks"] += 1
# 点击后可能的停留时间
if random.random() < 0.7: # 70%概率会快速返回
return_time = random.uniform(1, 3)
logger.info(f" 🔙 快速返回: {return_time:.1f}")
time.sleep(return_time)
def _simulate_read_ad(self, base_url, ad_type, time_budget):
"""模拟仔细阅读广告"""
logger.info(f" 📖 仔细阅读{ad_type}广告")
# 模拟阅读时间
read_time = random.uniform(5, 12)
logger.info(f" 📚 阅读时间: {read_time:.1f}")
time.sleep(read_time)
# 阅读后可能的行为
if random.random() < 0.3: # 30%概率阅读后点击
self._simulate_click_ad(base_url, ad_type, time_budget - read_time)
else:
# 阅读后离开
leave_time = random.uniform(1, 2)
time.sleep(leave_time)
def _simulate_wait_ad(self, base_url, ad_type, time_budget):
"""模拟等待广告倒计时"""
logger.info(f" ⏳ 等待{ad_type}广告倒计时")
# 模拟等待倒计时时间
wait_time = random.uniform(5, 8)
logger.info(f" ⏰ 等待倒计时: {wait_time:.1f}")
time.sleep(wait_time)
# 倒计时结束后的行为
if random.random() < 0.6: # 60%概率倒计时结束后关闭
self._simulate_close_ad(base_url, ad_type, time_budget - wait_time)
def _simulate_ignore_ad(self, base_url, ad_type, time_budget):
"""模拟忽略广告"""
logger.info(f" 🙈 忽略{ad_type}广告")
# 模拟忽略时间
ignore_time = min(time_budget, random.uniform(2, 6))
logger.info(f" 😐 忽略时间: {ignore_time:.1f}")
time.sleep(ignore_time)
def _send_close_ad_request(self, base_url, ad_type):
"""发送关闭广告的请求"""
try:
# 模拟关闭广告的API请求
close_endpoints = [
f"/api/ads/{ad_type}/close",
f"/ads/close?type={ad_type}",
f"/tracking/ad_close/{ad_type}",
f"/analytics/ad_interaction?action=close&type={ad_type}"
]
endpoint = random.choice(close_endpoints)
parsed_url = urlparse(base_url)
close_url = f"{parsed_url.scheme}://{parsed_url.netloc}{endpoint}"
headers = self.session.headers.copy()
headers.update({
"X-Requested-With": "XMLHttpRequest",
"Content-Type": "application/json",
"Referer": base_url,
})
response = self.session.post(close_url, headers=headers,
json={"ad_type": ad_type, "action": "close"},
timeout=5)
logger.info(f" 📤 关闭广告请求: {endpoint} ({response.status_code})")
except Exception as e:
logger.debug(f" ⚠️ 关闭广告请求失败: {e}")
def _send_ad_click_request(self, base_url, ad_type):
"""发送广告点击请求"""
try:
# 模拟广告点击的API请求
click_endpoints = [
f"/api/ads/{ad_type}/click",
f"/ads/click?type={ad_type}",
f"/tracking/ad_click/{ad_type}",
f"/analytics/ad_interaction?action=click&type={ad_type}"
]
endpoint = random.choice(click_endpoints)
parsed_url = urlparse(base_url)
click_url = f"{parsed_url.scheme}://{parsed_url.netloc}{endpoint}"
headers = self.session.headers.copy()
headers.update({
"X-Requested-With": "XMLHttpRequest",
"Content-Type": "application/json",
"Referer": base_url,
})
response = self.session.post(click_url, headers=headers,
json={"ad_type": ad_type, "action": "click"},
timeout=5)
logger.info(f" 📤 广告点击请求: {endpoint} ({response.status_code})")
except Exception as e:
logger.debug(f" ⚠️ 广告点击请求失败: {e}")
def _handle_all_remaining_ads(self, base_url, phase_time):
"""处理所有剩余的广告"""
logger.info(f" 📺 处理所有剩余广告")
# 为每种广告类型分配时间
ad_types = list(self.ad_behaviors.keys())
time_per_ad = phase_time / len(ad_types)
for ad_type in ad_types:
if random.random() < 0.8: # 80%概率处理该广告
self._handle_specific_ad_type(base_url, ad_type, time_per_ad)
def _log_ad_interaction_stats(self):
"""记录广告交互统计"""
logger.info("📊 广告交互统计:")
total_shows = 0
total_closes = 0
total_clicks = 0
for ad_type, stats in self.visit_stats["ad_interactions"].items():
if stats["shows"] > 0:
close_rate = (stats["closes"] / stats["shows"]) * 100
click_rate = (stats["clicks"] / stats["shows"]) * 100
logger.info(f" {ad_type}: 显示{stats['shows']}次, 关闭{stats['closes']}次({close_rate:.1f}%), 点击{stats['clicks']}次({click_rate:.1f}%)")
total_shows += stats["shows"]
total_closes += stats["closes"]
total_clicks += stats["clicks"]
if total_shows > 0:
overall_close_rate = (total_closes / total_shows) * 100
overall_click_rate = (total_clicks / total_shows) * 100
logger.info(f" 总计: 显示{total_shows}次, 关闭{total_closes}次({overall_close_rate:.1f}%), 点击{total_clicks}次({overall_click_rate:.1f}%)")
logger.info(f" 关闭按钮点击: {self.visit_stats['close_button_clicks']}")
logger.info(f" 广告内容点击: {self.visit_stats['ad_content_clicks']}")
def browse_games_with_ads(self):
"""浏览游戏页面并处理广告"""
main_site = self.config['targets']['main_site']
base_url = main_site.rstrip('/')
games_to_browse = random.randint(2, 4)
selected_games = random.sample(self.games_list, min(games_to_browse, len(self.games_list)))
logger.info(f"🎮 浏览 {games_to_browse} 个游戏页面")
for i, game in enumerate(selected_games):
game_url = base_url + game["url"]
try:
logger.info(f"🎯 游戏 {i+1}/{games_to_browse}: {game['name']}")
# 设置referrer
if i == 0:
self.session.headers.update({'Referer': main_site})
else:
prev_game_url = base_url + selected_games[i-1]["url"]
self.session.headers.update({'Referer': prev_game_url})
# 访问游戏页面
response = self.session.get(game_url, timeout=15)
if response.status_code == 200:
logger.info(f"✅ 游戏页面访问成功")
# 模拟游戏页面的广告交互
self._simulate_game_page_ads(response, game)
else:
logger.warning(f"⚠️ 游戏页面访问失败 ({response.status_code})")
# 页面间延迟
if i < len(selected_games) - 1:
delay = random.uniform(3, 8)
logger.info(f" ⏳ 页面切换延迟: {delay:.1f}")
time.sleep(delay)
except Exception as e:
logger.error(f"游戏页面访问出错: {e}")
continue
return True
def _simulate_game_page_ads(self, response, game):
"""模拟游戏页面的广告交互"""
game_stay_time = random.uniform(30, 90)
logger.info(f" 🎮 游戏页面停留: {game_stay_time:.1f}")
# 分配时间给不同的活动
game_time = game_stay_time * 0.7 # 70%时间玩游戏
ad_time = game_stay_time * 0.3 # 30%时间处理广告
logger.info(f" 🎯 游戏时间: {game_time:.1f}")
logger.info(f" 💰 广告时间: {ad_time:.1f}")
# 模拟游戏前广告
if random.random() < 0.8: # 80%概率有游戏前广告
pre_ad_time = random.uniform(5, 15)
logger.info(f" 📺 游戏前广告: {pre_ad_time:.1f}")
# 真实用户行为:大多数人讨厌游戏前广告
if random.random() < 0.7: # 70%概率跳过或关闭
logger.info(f" ⏭️ 用户厌烦,跳过广告")
time.sleep(random.uniform(2, 5))
else:
logger.info(f" ✅ 用户耐心等待广告")
time.sleep(pre_ad_time)
# 模拟游戏过程
self._simulate_game_play(game, game_time)
# 模拟游戏中广告
if random.random() < 0.6: # 60%概率有游戏中广告
mid_ad_time = random.uniform(3, 10)
logger.info(f" 📺 游戏中广告: {mid_ad_time:.1f}")
# 游戏中广告更容易被关闭
if random.random() < 0.8: # 80%概率关闭
logger.info(f" ❌ 关闭游戏中广告")
time.sleep(random.uniform(1, 3))
else:
time.sleep(mid_ad_time)
# 模拟游戏结束广告
if random.random() < 0.9: # 90%概率有结束广告
end_ad_time = random.uniform(5, 20)
logger.info(f" 📺 游戏结束广告: {end_ad_time:.1f}")
# 结束广告的处理较为复杂
if random.random() < 0.5: # 50%概率立即关闭
logger.info(f" ❌ 立即关闭结束广告")
time.sleep(random.uniform(1, 2))
elif random.random() < 0.3: # 30%概率点击
logger.info(f" 🖱️ 点击结束广告")
time.sleep(random.uniform(2, 5))
else: # 20%概率看完
logger.info(f" ✅ 看完结束广告")
time.sleep(end_ad_time)
def _simulate_game_play(self, game, duration):
"""模拟游戏过程"""
logger.info(f" 🎮 开始游戏: {game['name']}")
# 根据游戏类型模拟不同行为
if game["category"] == "puzzle":
actions = ["思考", "移动", "尝试", "撤销"]
segments = random.randint(4, 8)
elif game["category"] == "arcade":
actions = ["开始", "快速操作", "躲避", "收集"]
segments = random.randint(6, 12)
else:
actions = ["开始", "操作", "进行", "暂停"]
segments = random.randint(3, 6)
segment_time = duration / segments
for i in range(segments):
action = random.choice(actions)
logger.info(f" 🎯 {action}")
time.sleep(segment_time * random.uniform(0.8, 1.2))
def run_enhanced_ad_visit(self):
"""执行增强版广告访问流程"""
logger.info("🚀 开始增强版广告访问流程")
# 设置会话
self.setup_session()
try:
# 1. 模拟来源访问
if not self.simulate_traffic_source():
logger.warning("⚠️ 来源访问失败,继续执行")
# 2. 访问增强版首页
if not self.visit_homepage_with_enhanced_ads():
logger.error("❌ 首页广告访问失败")
return False
# 3. 浏览游戏页面
if not self.browse_games_with_ads():
logger.error("❌ 游戏页面访问失败")
return False
# 更新统计
self.visit_stats["total_visits"] += 1
logger.info("✅ 增强版广告访问流程完成!")
return True
except Exception as e:
logger.error(f"❌ 访问流程出错: {e}")
return False
finally:
if self.session:
self.session.close()
def run_continuous_enhanced_visits(self, total_visits=None, delay_range=None):
"""连续执行增强版广告访问"""
if total_visits is None:
total_visits = self.config['settings']['default_visits']
if delay_range is None:
delay_range = (
self.config['settings']['min_delay'],
self.config['settings']['max_delay']
)
success_count = 0
logger.info(f"🎯 开始连续增强版广告访问,目标: {total_visits}")
for i in range(total_visits):
logger.info(f"{'='*70}")
logger.info(f"🔄 第 {i+1}/{total_visits} 次增强版广告访问")
logger.info(f"{'='*70}")
visit_start_time = time.time()
if self.run_enhanced_ad_visit():
success_count += 1
visit_time = time.time() - visit_start_time
logger.info(f"✅ 第 {i+1} 次访问成功!耗时: {visit_time:.1f}")
# 显示累计统计
total_ad_shows = sum(stats["shows"] for stats in self.visit_stats["ad_interactions"].values())
logger.info(f"📊 累计: 成功{success_count}, 广告显示{total_ad_shows}, 关闭{self.visit_stats['close_button_clicks']}, 点击{self.visit_stats['ad_content_clicks']}")
else:
logger.error(f"❌ 第 {i+1} 次访问失败!")
# 访问间隔
if i < total_visits - 1:
delay = random.uniform(delay_range[0], delay_range[1])
logger.info(f"⏳ 等待 {delay:.1f}")
time.sleep(delay)
# 最终统计
self._print_final_stats(success_count, total_visits)
return success_count
def _print_final_stats(self, success_count, total_visits):
"""打印最终统计信息"""
success_rate = (success_count / total_visits) * 100
total_ad_shows = sum(stats["shows"] for stats in self.visit_stats["ad_interactions"].values())
total_ad_closes = sum(stats["closes"] for stats in self.visit_stats["ad_interactions"].values())
total_ad_clicks = sum(stats["clicks"] for stats in self.visit_stats["ad_interactions"].values())
logger.info(f"🎉 增强版广告访问任务完成!")
logger.info(f"📊 访问统计:")
logger.info(f" 成功率: {success_count}/{total_visits} ({success_rate:.1f}%)")
logger.info(f" 广告显示总数: {total_ad_shows}")
logger.info(f" 关闭按钮点击: {self.visit_stats['close_button_clicks']} ({(self.visit_stats['close_button_clicks']/total_ad_shows*100):.1f}%)")
logger.info(f" 广告内容点击: {self.visit_stats['ad_content_clicks']} ({(self.visit_stats['ad_content_clicks']/total_ad_shows*100):.1f}%)")
logger.info(f"💡 真实用户行为: 75%的用户讨厌广告并选择关闭")
def main():
"""主函数"""
config_file = 'config.json'
if not os.path.exists(config_file):
print(f"❌ 配置文件 {config_file} 不存在!")
return
try:
bot = EnhancedAdBot(config_file)
print("=" * 80)
print("🎯 增强版广告刷量机器人 (真实用户行为版)")
print("=" * 80)
print("💡 核心特性:")
print(" 🎭 真实用户行为模拟 - 75%概率讨厌广告")
print(" ❌ 智能关闭广告按钮 - 模拟真实用户习惯")
print(" 📱 移动端优先 - 85%概率使用移动设备")
print(" 🎯 6种广告类型 - 弹窗、插页、横幅、原生、侧边、底部")
print(" 📊 详细交互统计 - 关闭率、点击率等")
print(" ⚠️ 请确保仅用于测试自己的网站!")
print()
print(f"🎯 目标网站: {bot.config['targets']['main_site']}")
print(f"📺 广告类型: {len(bot.ad_behaviors)}")
print(f"😤 用户讨厌广告: 75%概率")
print()
print("请选择运行模式:")
print("1. 💎 单次增强版广告访问测试")
print("2. 🚀 连续增强版广告访问 (使用配置参数)")
print("3. ⚙️ 自定义连续增强版广告访问")
choice = input("请输入选择 (1/2/3): ").strip()
if choice == "1":
logger.info("🎬 开始单次增强版广告访问测试")
success = bot.run_enhanced_ad_visit()
if success:
print("🎉 单次增强版广告访问测试成功!")
else:
print("😞 单次增强版广告访问测试失败!")
elif choice == "2":
logger.info("🎬 开始连续增强版广告访问")
success_count = bot.run_continuous_enhanced_visits()
total = bot.config['settings']['default_visits']
print(f"🎉 连续增强版广告访问完成!成功: {success_count}/{total}")
elif choice == "3":
try:
visit_count = int(input("请输入访问次数: ").strip())
min_delay = int(input("请输入最小延迟秒数: ").strip())
max_delay = int(input("请输入最大延迟秒数: ").strip())
logger.info(f"🎬 开始自定义增强版广告访问,次数: {visit_count}")
success_count = bot.run_continuous_enhanced_visits(
total_visits=visit_count,
delay_range=(min_delay, max_delay)
)
print(f"🎉 自定义增强版广告访问完成!成功: {success_count}/{visit_count}")
except ValueError:
print("❌ 输入参数错误!")
else:
print("❌ 无效选择!")
except KeyboardInterrupt:
print("\n⚠️ 用户中断执行")
except Exception as e:
logger.error(f"程序执行出错: {e}")
print("❌ 程序执行出错,请查看日志文件 enhanced_ad_bot.log")
if __name__ == "__main__":
main()

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@echo off
chcp 65001 >nul
title 广告刷量机器人 - Fun Games Hub专版
echo ============================================================
echo 💰 广告刷量机器人 (Fun Games Hub专版)
echo ============================================================
echo 🎯 专为Fun Games Hub游戏网站优化
echo 💰 重点关注广告展示和交互
echo 📱 移动端优先(广告收益更高)
echo 🎮 支持7种游戏类型
echo ⚠️ 请确保仅用于测试自己的网站!
echo.
:: 检查Python
python --version >nul 2>&1
if %errorlevel% neq 0 (
echo ❌ Python未安装请先安装Python 3.7+
pause
exit /b 1
)
echo ✅ Python已安装
python --version
:: 检查必要文件
if not exist config.json (
echo ❌ 配置文件 config.json 不存在!
pause
exit /b 1
)
if not exist real_user_database.py (
echo ❌ 用户数据库文件 real_user_database.py 不存在!
pause
exit /b 1
)
if not exist website_traffic_ad_bot.py (
echo ❌ 广告机器人文件 website_traffic_ad_bot.py 不存在!
pause
exit /b 1
)
echo ✅ 所有文件检查完成
:: 安装依赖
echo.
echo 📦 检查并安装依赖...
pip install requests --quiet
if %errorlevel% neq 0 (
echo ❌ 依赖安装失败!
pause
exit /b 1
)
echo ✅ 依赖安装成功
echo.
echo 🎯 广告刷量机器人特性:
echo 📱 移动端优先 (80%概率)
echo 🏠 首页深度停留 (15-45秒)
echo 💰 广告专项行为模拟
echo 🎮 多游戏页面浏览
echo 📺 游戏前、中、后广告
echo 🖱️ 广告点击模拟 (15%概率)
echo 🔄 广告交互行为
echo 📊 详细广告统计
echo.
echo 🚀 启动广告刷量机器人...
python website_traffic_ad_bot.py
echo.
echo 🏁 广告刷量任务完成!
echo 📝 详细日志请查看 ad_bot.log 文件
pause

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@echo off
chcp 65001 >nul
title 增强版广告刷量机器人 - 真实用户行为版
echo ===============================================================
echo 🎯 增强版广告刷量机器人 (真实用户行为版)
echo ===============================================================
echo 💡 核心特性:
echo 🎭 真实用户行为模拟 - 75%概率讨厌广告
echo ❌ 智能关闭广告按钮 - 模拟真实用户习惯
echo 📱 移动端优先 - 85%概率使用移动设备
echo 🎯 6种广告类型 - 弹窗、插页、横幅、原生、侧边、底部
echo 📊 详细交互统计 - 关闭率、点击率等
echo ⚠️ 请确保仅用于测试自己的网站!
echo.
:: 检查Python
python --version >nul 2>&1
if %errorlevel% neq 0 (
echo ❌ Python未安装请先安装Python 3.7+
pause
exit /b 1
)
echo ✅ Python已安装
python --version
:: 检查必要文件
if not exist config.json (
echo ❌ 配置文件 config.json 不存在!
pause
exit /b 1
)
if not exist real_user_database.py (
echo ❌ 用户数据库文件 real_user_database.py 不存在!
pause
exit /b 1
)
if not exist enhanced_ad_bot.py (
echo ❌ 增强版广告机器人文件 enhanced_ad_bot.py 不存在!
pause
exit /b 1
)
if not exist index_enhanced_ads.html (
echo ❌ 增强版首页文件 index_enhanced_ads.html 不存在!
pause
exit /b 1
)
echo ✅ 所有文件检查完成
:: 安装依赖
echo.
echo 📦 检查并安装依赖...
pip install requests --quiet
if %errorlevel% neq 0 (
echo ❌ 依赖安装失败!
pause
exit /b 1
)
echo ✅ 依赖安装成功
echo.
echo 🎯 增强版广告机器人特性:
echo 😤 用户讨厌广告 - 75%概率点击关闭按钮
echo 📱 移动端优先 - 85%概率使用移动设备
echo 🎭 真实行为模拟 - 寻找关闭按钮、思考时间等
echo 📊 详细统计 - 关闭率、点击率、用户行为分析
echo 🎯 多种广告类型 - 弹窗、插页、横幅、原生、侧边、底部
echo ⏳ 真实时间模拟 - 反应时间、操作延迟等
echo.
echo 🚀 启动增强版广告刷量机器人...
python enhanced_ad_bot.py
echo.
echo 🏁 增强版广告刷量任务完成!
echo 📝 详细日志请查看 enhanced_ad_bot.log 文件
echo 💡 真实用户行为特点:
echo - 75%的用户讨厌广告并选择关闭
echo - 移动端用户更容易关闭广告
echo - 游戏前、中、后广告处理不同
echo - 包含寻找关闭按钮、思考时间等真实行为
pause

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@echo off
chcp 65001 >nul
title 通用广告刷量机器人 - 智能识别版
echo ===============================================================
echo 🎯 通用广告刷量机器人 (智能识别版)
echo ===============================================================
echo 💡 核心特性:
echo 🔍 智能广告识别 - 自动检测各种广告类型
echo 🎭 真实用户行为 - 75%概率讨厌广告
echo ❌ 智能关闭按钮 - 自动寻找并点击关闭按钮
echo 📱 移动端优先 - 85%概率使用移动设备
echo 🌐 通用适配 - 适用于任何广告网络
echo 📊 详细统计 - 检测率、关闭率、点击率
echo ⚠️ 请确保仅用于测试自己的网站!
echo.
:: 检查Python
python --version >nul 2>&1
if %errorlevel% neq 0 (
echo ❌ Python未安装请先安装Python 3.7+
pause
exit /b 1
)
echo ✅ Python已安装
python --version
:: 检查必要文件
if not exist config.json (
echo ❌ 配置文件 config.json 不存在!
pause
exit /b 1
)
if not exist real_user_database.py (
echo ❌ 用户数据库文件 real_user_database.py 不存在!
pause
exit /b 1
)
if not exist universal_ad_bot.py (
echo ❌ 通用广告机器人文件 universal_ad_bot.py 不存在!
pause
exit /b 1
)
echo ✅ 所有文件检查完成
:: 安装依赖
echo.
echo 📦 检查并安装依赖...
pip install requests --quiet
if %errorlevel% neq 0 (
echo ❌ 依赖安装失败!
pause
exit /b 1
)
echo ✅ 依赖安装成功
echo.
echo 🎯 智能广告识别特性:
echo 🔍 支持广告网络: Google AdSense, MonetTag, PropellerAds
echo 📱 移动端优先 - 85%概率使用移动设备
echo 🎭 真实行为模拟 - 寻找关闭按钮、思考时间等
echo 📊 智能统计 - 检测率、关闭率、点击率分析
echo 🌐 通用适配 - 无需修改HTML适用于任何网站
echo ⏳ 真实时间模拟 - 反应时间、操作延迟等
echo.
echo 🚀 启动通用广告刷量机器人...
python universal_ad_bot.py
echo.
echo 🏁 通用广告刷量任务完成!
echo 📝 详细日志请查看 universal_ad_bot.log 文件
echo 💡 智能识别特点:
echo - 自动检测各种广告网络和类型
echo - 75%的用户讨厌广告并选择关闭
echo - 智能识别关闭按钮并模拟点击
echo - 适用于任何使用智能合一广告的网站
echo - 无需修改现有HTML结构
pause

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@@ -18,3 +18,22 @@
2025-07-18 11:25:02,200 - INFO - 🔗 模拟从来源访问: https://github.com/topics/game
2025-07-18 11:25:02,203 - INFO - 🐙 GitHub页面停留 18.7 秒
2025-07-18 11:25:02,203 - INFO - 🐙 GitHub行为: 查看项目描述
2025-07-18 11:25:14,691 - INFO - 🐙 GitHub行为: 阅读README文件
2025-07-18 11:25:27,164 - INFO - 🐙 GitHub行为: 阅读README文件
2025-07-18 11:25:31,529 - INFO - 🏠 访问目标网站: https://game.586vip.cn/
2025-07-18 11:25:31,529 - INFO - 🕐 人工延迟: 6.6秒
2025-07-18 11:25:39,452 - INFO - 📡 HTTP请求详情:
2025-07-18 11:25:39,452 - INFO - 📍 访问URL: https://game.586vip.cn/
2025-07-18 11:25:39,452 - INFO - 📊 状态码: 200
2025-07-18 11:25:39,452 - INFO - 📦 响应大小: 34940 字节
2025-07-18 11:25:39,452 - INFO - ⏱️ 响应时间: 1.32秒
2025-07-18 11:25:39,453 - INFO - 📄 内容类型: text/html
2025-07-18 11:25:39,453 - INFO - 🖥️ 服务器: nginx
2025-07-18 11:25:39,453 - INFO - 📖 页面分析:
2025-07-18 11:25:39,453 - INFO - 📝 内容长度: 16619 字符
2025-07-18 11:25:39,453 - INFO - ⏱️ 预估阅读时间: 3716.4 秒
2025-07-18 11:25:39,453 - INFO - 🕐 实际停留时间: 5.9 秒
2025-07-18 11:25:39,454 - INFO - 📱 查看页脚信息
2025-07-18 11:25:40,273 - INFO - 📖 阅读页面内容
2025-07-18 11:25:40,906 - INFO - 🔗 检查页面链接
2025-07-18 11:25:41,956 - INFO - 📱 查看页脚信息

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universal_ad_bot.py Normal file

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723
website_traffic_ad_bot.py Normal file
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@@ -0,0 +1,723 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
网站刷量广告机器人 (专业版)
专门用于刷量和广告互动
针对Fun Games Hub网站优化
"""
import requests
import time
import random
import json
import os
import logging
from urllib.parse import urlparse, urljoin
import re
from real_user_database import RealUserDatabase
# 配置日志
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler('ad_bot.log', encoding='utf-8'),
logging.StreamHandler()
]
)
logger = logging.getLogger(__name__)
class WebsiteAdBot:
def __init__(self, config_file='config.json'):
"""
初始化广告刷量机器人
"""
self.config = self.load_config(config_file)
self.session = None
self.user_db = RealUserDatabase()
self.current_profile = None
self.current_behavior = None
# 🎮 基于网站截图的真实游戏列表
self.games_list = [
{"name": "2048", "url": "/games/2048/index.html", "category": "puzzle"},
{"name": "Snake", "url": "/games/snake/index.html", "category": "arcade"},
{"name": "DIY Doll", "url": "/games/diy-doll/index.html", "category": "puzzle"},
{"name": "Sprunki", "url": "/games/sprunki/index.html", "category": "arcade"},
{"name": "FlightBird", "url": "/games/flightbird/index.html", "category": "action"},
{"name": "Diy Doll Factory", "url": "/games/iframe-games.html?game=diy-doll-factory", "category": "puzzle"},
{"name": "Super Sprunki Adventure", "url": "/games/iframe-games.html?game=super-sprunki-adventure", "category": "action"},
]
# 🎯 游戏分类列表
self.game_categories = [
{"name": "Puzzle", "games": 4},
{"name": "Arcade", "games": 3},
{"name": "Action", "games": 2},
{"name": "Strategy", "games": 1},
{"name": "All", "games": 10}
]
# 🎯 真实的访问来源(针对游戏网站)
self.game_traffic_sources = [
# 游戏相关搜索
"https://www.google.com/search?q=free+online+games",
"https://www.google.com/search?q=2048+game+play+online",
"https://www.google.com/search?q=snake+game+browser",
"https://www.google.com/search?q=puzzle+games+online+free",
"https://www.google.com/search?q=fun+games+hub",
"https://www.google.com/search?q=html5+games+no+download",
"https://www.google.com/search?q=browser+games+2024",
# 游戏社区来源
"https://www.reddit.com/r/WebGames/",
"https://www.reddit.com/r/incremental_games/",
"https://news.ycombinator.com/",
"https://www.producthunt.com/",
"https://github.com/topics/game",
"https://github.com/topics/html5-game",
# 中文游戏搜索
"https://www.google.com/search?q=在线小游戏",
"https://www.google.com/search?q=免费网页游戏",
"https://www.google.com/search?q=2048数字游戏",
"https://www.baidu.com/s?wd=网页小游戏",
"https://www.baidu.com/s?wd=在线游戏平台",
]
def load_config(self, config_file):
"""加载配置文件"""
try:
with open(config_file, 'r', encoding='utf-8') as f:
config = json.load(f)
logger.info(f"配置文件加载成功: {config_file}")
return config
except FileNotFoundError:
logger.error(f"配置文件未找到: {config_file}")
raise
except json.JSONDecodeError as e:
logger.error(f"配置文件格式错误: {e}")
raise
def setup_session(self):
"""设置请求会话 - 广告友好版"""
self.session = requests.Session()
self.session.cookies.clear()
# 生成真实用户配置
self.current_profile = self.user_db.get_random_user_profile()
self.current_behavior = self.user_db.get_visit_behavior()
# 设置代理
proxy_config = self.config.get('proxy')
if proxy_config:
proxy_url = f"http://{proxy_config['username']}:{proxy_config['password']}@{proxy_config['host']}:{proxy_config['port']}"
self.session.proxies = {
'http': proxy_url,
'https': proxy_url
}
logger.info(f"已配置代理: {proxy_config['host']}:{proxy_config['port']}")
# 🎯 广告友好的用户代理 - 移动端为主
if random.random() < 0.8: # 80%概率使用移动端(广告收益更高)
mobile_agents = [
"Mozilla/5.0 (iPhone; CPU iPhone OS 17_1_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.1 Mobile/15E148 Safari/604.1",
"Mozilla/5.0 (iPhone; CPU iPhone OS 16_6_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.6 Mobile/15E148 Safari/604.1",
"Mozilla/5.0 (Linux; Android 14; SM-G991B) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Mobile Safari/537.36",
"Mozilla/5.0 (Linux; Android 13; SM-A515F) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Mobile Safari/537.36",
"Mozilla/5.0 (iPad; CPU OS 17_1_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.1 Mobile/15E148 Safari/604.1",
]
user_agent = random.choice(mobile_agents)
is_mobile = True
else:
user_agent = self.current_profile["user_agent"]
is_mobile = "Mobile" in user_agent
# 完整的广告友好头部
headers = {
"User-Agent": user_agent,
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8",
"Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6",
"Accept-Encoding": "gzip, deflate, br",
"Connection": "keep-alive",
"Upgrade-Insecure-Requests": "1",
"Sec-Fetch-Dest": "document",
"Sec-Fetch-Mode": "navigate",
"Sec-Fetch-Site": "none",
"Sec-Fetch-User": "?1",
"Cache-Control": "max-age=0",
"DNT": "0", # 不启用DNT对广告友好
"Pragma": "no-cache",
}
# 移动端特殊头部
if is_mobile:
headers.update({
"Sec-CH-UA-Mobile": "?1",
"Viewport-Width": str(random.choice([375, 414, 390, 393, 412])),
"Device-Memory": str(random.choice([4, 6, 8])),
})
self.session.headers.update(headers)
logger.info(f"🎭 广告机器人配置:")
logger.info(f" 📱 User-Agent: {user_agent}")
logger.info(f" 📱 移动端模式: {is_mobile}")
logger.info(f" 🎯 访问模式: {self.current_behavior['pattern_type']}")
# 获取当前IP
current_ip = self.get_current_ip()
if current_ip:
print(f"🌍 当前IP: {current_ip}")
print(f"🎯 广告刷量模式: 移动端={is_mobile}, 模式={self.current_behavior['pattern_type']}")
def get_current_ip(self):
"""获取当前IP地址"""
try:
response = self.session.get('https://httpbin.org/ip', timeout=10)
if response.status_code == 200:
data = response.json()
return data.get('origin', 'Unknown')
except:
pass
return None
def simulate_traffic_source(self):
"""模拟真实的游戏网站访问来源"""
source = random.choice(self.game_traffic_sources)
try:
logger.info(f"🔗 模拟从游戏相关来源访问: {source}")
# 根据来源类型设置不同的停留时间
if "google.com" in source or "baidu.com" in source:
stay_time = random.uniform(2, 8) # 搜索引擎停留较短
logger.info(f"🔍 搜索引擎停留: {stay_time:.1f}")
elif "reddit.com" in source:
stay_time = random.uniform(8, 20) # Reddit停留较长
logger.info(f"🔍 Reddit社区停留: {stay_time:.1f}")
elif "github.com" in source:
stay_time = random.uniform(5, 15) # GitHub中等停留
logger.info(f"🔍 GitHub停留: {stay_time:.1f}")
else:
stay_time = random.uniform(3, 12) # 其他网站
logger.info(f"🔍 其他来源停留: {stay_time:.1f}")
# 模拟来源网站行为
self._simulate_source_behavior(stay_time)
# 设置referrer
self.session.headers.update({
'Referer': source,
'Sec-Fetch-Site': 'cross-site'
})
return True
except Exception as e:
logger.error(f"来源访问模拟失败: {e}")
return False
def _simulate_source_behavior(self, total_time):
"""模拟在来源网站的行为"""
actions = [
"浏览搜索结果",
"阅读页面内容",
"查看相关链接",
"滚动浏览页面",
"点击相关内容"
]
segments = random.randint(2, 4)
segment_time = total_time / segments
for i in range(segments):
if i > 0:
time.sleep(random.uniform(0.5, 2))
action = random.choice(actions)
logger.info(f" 🔍 {action}")
time.sleep(segment_time * random.uniform(0.7, 1.3))
def visit_homepage_with_ads(self):
"""访问首页并重点关注广告"""
main_site = self.config['targets']['main_site']
try:
logger.info(f"🏠 访问首页并关注广告: {main_site}")
# 人工延迟
pre_delay = random.uniform(3, 7)
logger.info(f"🕐 访问前延迟: {pre_delay:.1f}")
time.sleep(pre_delay)
# 发起请求
response = self.session.get(main_site, timeout=20, allow_redirects=True)
if response.status_code == 200:
logger.info(f"✅ 首页访问成功 ({response.status_code})")
logger.info(f"📦 页面大小: {len(response.content)} 字节")
# 🎯 专注于首页停留和广告交互
self._simulate_homepage_ad_interaction(response)
return True
else:
logger.error(f"❌ 首页访问失败 ({response.status_code})")
return False
except Exception as e:
logger.error(f"首页访问出错: {e}")
return False
def _simulate_homepage_ad_interaction(self, response):
"""模拟首页广告交互"""
base_url = response.url
# 🎯 首页深度停留 - 广告需要更长的展示时间
homepage_stay_time = random.uniform(15, 45) # 15-45秒深度停留
logger.info(f"🏠 首页深度停留时间: {homepage_stay_time:.1f}")
# 分阶段模拟首页行为
stages = [
{"name": "初始加载", "duration": 0.2, "actions": ["页面加载", "渲染广告"]},
{"name": "浏览游戏", "duration": 0.3, "actions": ["查看热门游戏", "浏览游戏分类"]},
{"name": "广告互动", "duration": 0.3, "actions": ["查看广告", "广告展示", "可能点击"]},
{"name": "深度探索", "duration": 0.2, "actions": ["滚动页面", "查看更多游戏"]}
]
for stage in stages:
stage_time = homepage_stay_time * stage["duration"]
logger.info(f"🎯 {stage['name']}阶段: {stage_time:.1f}")
# 执行该阶段的行为
action_count = len(stage["actions"])
action_time = stage_time / action_count
for action in stage["actions"]:
logger.info(f" 📱 {action}")
# 特殊处理广告相关行为
if "广告" in action:
self._simulate_ad_behavior(base_url, action_time)
else:
time.sleep(action_time * random.uniform(0.8, 1.2))
# 动作间随机间隔
if random.random() < 0.7:
time.sleep(random.uniform(0.5, 2))
# 🎯 额外的广告专项行为
if random.random() < 0.8: # 80%概率进行广告专项行为
self._simulate_dedicated_ad_behavior(base_url)
def _simulate_ad_behavior(self, base_url, duration):
"""模拟广告行为"""
logger.info(f" 💰 广告行为开始,持续 {duration:.1f}")
# 模拟广告加载时间
ad_load_time = random.uniform(1, 3)
logger.info(f" 📺 广告加载: {ad_load_time:.1f}")
time.sleep(ad_load_time)
# 模拟广告展示时间
ad_display_time = duration - ad_load_time
if ad_display_time > 0:
logger.info(f" 👀 广告展示: {ad_display_time:.1f}")
time.sleep(ad_display_time)
# 模拟可能的广告点击
if random.random() < 0.15: # 15%概率点击广告
self._simulate_ad_click(base_url)
def _simulate_ad_click(self, base_url):
"""模拟广告点击"""
logger.info(f" 🖱️ 模拟广告点击")
# 模拟点击延迟
click_delay = random.uniform(0.5, 2)
time.sleep(click_delay)
# 模拟广告相关请求
ad_endpoints = [
"/ads/click",
"/advertising/track",
"/ad/impression",
"/analytics/ad",
"/track/click"
]
for endpoint in random.sample(ad_endpoints, random.randint(1, 2)):
try:
parsed_url = urlparse(base_url)
ad_url = f"{parsed_url.scheme}://{parsed_url.netloc}{endpoint}"
ad_headers = self.session.headers.copy()
ad_headers.update({
"X-Requested-With": "XMLHttpRequest",
"Content-Type": "application/json",
"Referer": base_url,
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
})
response = self.session.get(ad_url, headers=ad_headers, timeout=5)
logger.info(f" 📊 广告请求: {endpoint} ({response.status_code})")
time.sleep(random.uniform(0.5, 1.5))
except Exception as e:
logger.debug(f" ⚠️ 广告请求失败 {endpoint}: {e}")
def _simulate_dedicated_ad_behavior(self, base_url):
"""专项广告行为模拟"""
logger.info(f"💰 开始专项广告行为")
# 模拟滚动到广告位置
scroll_time = random.uniform(2, 5)
logger.info(f" 📜 滚动到广告区域: {scroll_time:.1f}")
time.sleep(scroll_time)
# 模拟在广告区域停留
ad_focus_time = random.uniform(8, 20)
logger.info(f" 👁️ 广告区域停留: {ad_focus_time:.1f}")
time.sleep(ad_focus_time)
# 模拟广告交互
if random.random() < 0.25: # 25%概率进行广告交互
logger.info(f" 🔄 广告交互行为")
self._simulate_ad_interaction(base_url)
def _simulate_ad_interaction(self, base_url):
"""模拟广告交互"""
interactions = [
"悬停在广告上",
"查看广告详情",
"广告展开",
"关闭广告",
"点击广告"
]
selected_interactions = random.sample(interactions, random.randint(1, 3))
for interaction in selected_interactions:
logger.info(f" 🎯 {interaction}")
if interaction == "点击广告":
self._simulate_ad_click(base_url)
else:
time.sleep(random.uniform(1, 4))
def browse_games_with_ads(self):
"""浏览游戏页面并关注广告"""
main_site = self.config['targets']['main_site']
base_url = main_site.rstrip('/')
# 随机选择要浏览的游戏数量
games_to_browse = random.randint(3, 6)
selected_games = random.sample(self.games_list, min(games_to_browse, len(self.games_list)))
logger.info(f"🎮 开始浏览 {games_to_browse} 个游戏页面")
for i, game in enumerate(selected_games):
game_url = base_url + game["url"]
try:
logger.info(f"🎯 游戏 {i+1}/{games_to_browse}: {game['name']} ({game['category']})")
# 设置referrer
if i == 0:
self.session.headers.update({
'Referer': main_site,
'Sec-Fetch-Site': 'same-origin'
})
else:
prev_game_url = base_url + selected_games[i-1]["url"]
self.session.headers.update({
'Referer': prev_game_url,
'Sec-Fetch-Site': 'same-origin'
})
# 访问游戏页面
response = self.session.get(game_url, timeout=15, allow_redirects=True)
if response.status_code == 200:
logger.info(f"✅ 游戏页面访问成功")
# 模拟游戏页面的广告行为
self._simulate_game_page_ad_behavior(response, game)
else:
logger.warning(f"⚠️ 游戏页面访问失败 ({response.status_code})")
# 页面间切换延迟
if i < len(selected_games) - 1:
switch_delay = random.uniform(2, 6)
logger.info(f" ⚡ 切换延迟: {switch_delay:.1f}")
time.sleep(switch_delay)
except Exception as e:
logger.error(f"游戏页面访问出错: {e}")
continue
return True
def _simulate_game_page_ad_behavior(self, response, game):
"""模拟游戏页面的广告行为"""
# 游戏页面停留时间(包含广告时间)
game_stay_time = random.uniform(20, 60)
logger.info(f" 🎮 游戏页面停留: {game_stay_time:.1f}")
# 分配时间
game_time = game_stay_time * 0.6 # 60%时间玩游戏
ad_time = game_stay_time * 0.4 # 40%时间看广告
logger.info(f" 🎯 游戏时间: {game_time:.1f}")
logger.info(f" 💰 广告时间: {ad_time:.1f}")
# 模拟游戏加载
load_time = random.uniform(2, 5)
logger.info(f" 🔄 游戏加载: {load_time:.1f}")
time.sleep(load_time)
# 模拟游戏前广告
if random.random() < 0.7: # 70%概率有游戏前广告
pre_ad_time = random.uniform(5, 15)
logger.info(f" 📺 游戏前广告: {pre_ad_time:.1f}")
time.sleep(pre_ad_time)
# 模拟跳过广告或看完广告
if random.random() < 0.3: # 30%概率跳过
logger.info(f" ⏭️ 跳过广告")
time.sleep(random.uniform(1, 2))
else:
logger.info(f" ✅ 看完广告")
# 模拟游戏过程
self._simulate_game_play(game, game_time)
# 模拟游戏中广告
if random.random() < 0.5: # 50%概率有游戏中广告
mid_ad_time = random.uniform(3, 10)
logger.info(f" 📺 游戏中广告: {mid_ad_time:.1f}")
time.sleep(mid_ad_time)
# 模拟游戏结束广告
if random.random() < 0.8: # 80%概率有结束广告
end_ad_time = random.uniform(5, 15)
logger.info(f" 📺 游戏结束广告: {end_ad_time:.1f}")
time.sleep(end_ad_time)
def _simulate_game_play(self, game, duration):
"""模拟游戏过程"""
logger.info(f" 🎮 开始游戏: {game['name']}")
# 根据游戏类型模拟不同行为
if game["category"] == "puzzle":
self._simulate_puzzle_game(duration)
elif game["category"] == "arcade":
self._simulate_arcade_game(duration)
elif game["category"] == "action":
self._simulate_action_game(duration)
else:
self._simulate_general_game(duration)
def _simulate_puzzle_game(self, duration):
"""模拟益智游戏"""
actions = ["思考", "移动", "尝试", "撤销", "重新开始"]
segments = random.randint(3, 6)
segment_time = duration / segments
for i in range(segments):
action = random.choice(actions)
logger.info(f" 🧩 {action}")
time.sleep(segment_time * random.uniform(0.7, 1.3))
def _simulate_arcade_game(self, duration):
"""模拟街机游戏"""
actions = ["开始游戏", "快速操作", "躲避", "收集", "游戏结束"]
segments = random.randint(4, 8)
segment_time = duration / segments
for i in range(segments):
action = random.choice(actions)
logger.info(f" 🕹️ {action}")
time.sleep(segment_time * random.uniform(0.6, 1.4))
def _simulate_action_game(self, duration):
"""模拟动作游戏"""
actions = ["移动", "攻击", "跳跃", "技能", "闯关"]
segments = random.randint(5, 10)
segment_time = duration / segments
for i in range(segments):
action = random.choice(actions)
logger.info(f" ⚔️ {action}")
time.sleep(segment_time * random.uniform(0.5, 1.2))
def _simulate_general_game(self, duration):
"""模拟一般游戏"""
actions = ["开始", "操作", "进行", "暂停", "继续"]
segments = random.randint(3, 6)
segment_time = duration / segments
for i in range(segments):
action = random.choice(actions)
logger.info(f" 🎯 {action}")
time.sleep(segment_time * random.uniform(0.8, 1.2))
def run_ad_focused_visit(self):
"""执行以广告为重点的访问流程"""
logger.info("🚀 开始广告重点访问流程")
# 设置会话
self.setup_session()
try:
# 1. 模拟来源访问
if not self.simulate_traffic_source():
logger.warning("⚠️ 来源访问失败,继续执行")
# 2. 访问首页并重点关注广告
if not self.visit_homepage_with_ads():
logger.error("❌ 首页广告访问失败")
return False
# 3. 浏览游戏页面并关注广告
if not self.browse_games_with_ads():
logger.error("❌ 游戏页面广告访问失败")
return False
logger.info("✅ 广告重点访问流程完成!")
return True
except Exception as e:
logger.error(f"❌ 访问流程出错: {e}")
return False
finally:
if self.session:
self.session.close()
def run_continuous_ad_visits(self, total_visits=None, delay_range=None):
"""连续执行广告重点访问"""
if total_visits is None:
total_visits = self.config['settings']['default_visits']
if delay_range is None:
delay_range = (
self.config['settings']['min_delay'],
self.config['settings']['max_delay']
)
success_count = 0
total_ad_time = 0
logger.info(f"🎯 开始连续广告访问,目标: {total_visits}")
for i in range(total_visits):
logger.info(f"{'='*60}")
logger.info(f"🔄 第 {i+1}/{total_visits} 次广告访问")
logger.info(f"{'='*60}")
visit_start_time = time.time()
if self.run_ad_focused_visit():
success_count += 1
visit_time = time.time() - visit_start_time
total_ad_time += visit_time
logger.info(f"✅ 第 {i+1} 次访问成功!耗时: {visit_time:.1f}")
logger.info(f"📊 累计成功: {success_count}, 总广告时间: {total_ad_time:.1f}")
else:
logger.error(f"❌ 第 {i+1} 次访问失败!")
# 访问间隔
if i < total_visits - 1:
delay = random.uniform(delay_range[0], delay_range[1])
logger.info(f"⏳ 等待 {delay:.1f}")
time.sleep(delay)
success_rate = (success_count / total_visits) * 100
avg_ad_time = total_ad_time / success_count if success_count > 0 else 0
logger.info(f"🎉 广告访问任务完成!")
logger.info(f"📊 成功率: {success_count}/{total_visits} ({success_rate:.1f}%)")
logger.info(f"💰 总广告时间: {total_ad_time:.1f}")
logger.info(f"📈 平均每次广告时间: {avg_ad_time:.1f}")
return success_count
def main():
"""主函数"""
config_file = 'config.json'
if not os.path.exists(config_file):
print(f"❌ 配置文件 {config_file} 不存在!")
return
try:
bot = WebsiteAdBot(config_file)
print("=" * 60)
print("💰 网站广告刷量机器人 (专业版)")
print("=" * 60)
print("🎯 专为Fun Games Hub游戏网站优化")
print("💰 重点关注广告展示和交互")
print("📱 移动端优先(广告收益更高)")
print("⚠️ 请确保仅用于测试自己的网站!")
print()
print(f"🎯 目标网站: {bot.config['targets']['main_site']}")
print(f"🎮 游戏类型: {len(bot.games_list)} 个游戏")
print(f"📱 移动端概率: 80%")
print()
print("请选择运行模式:")
print("1. 💎 单次广告重点访问测试")
print("2. 🚀 连续广告访问 (使用配置参数)")
print("3. ⚙️ 自定义连续广告访问")
choice = input("请输入选择 (1/2/3): ").strip()
if choice == "1":
logger.info("🎬 开始单次广告重点访问测试")
success = bot.run_ad_focused_visit()
if success:
print("🎉 单次广告访问测试成功!")
else:
print("😞 单次广告访问测试失败!")
elif choice == "2":
logger.info("🎬 开始连续广告访问")
success_count = bot.run_continuous_ad_visits()
total = bot.config['settings']['default_visits']
print(f"🎉 连续广告访问完成!成功: {success_count}/{total}")
elif choice == "3":
try:
visit_count = int(input("请输入访问次数: ").strip())
min_delay = int(input("请输入最小延迟秒数: ").strip())
max_delay = int(input("请输入最大延迟秒数: ").strip())
logger.info(f"🎬 开始自定义广告访问,次数: {visit_count}")
success_count = bot.run_continuous_ad_visits(
total_visits=visit_count,
delay_range=(min_delay, max_delay)
)
print(f"🎉 自定义广告访问完成!成功: {success_count}/{visit_count}")
except ValueError:
print("❌ 输入参数错误!")
else:
print("❌ 无效选择!")
except KeyboardInterrupt:
print("\n⚠️ 用户中断执行")
except Exception as e:
logger.error(f"程序执行出错: {e}")
print("❌ 程序执行出错,请查看日志文件 ad_bot.log")
if __name__ == "__main__":
main()

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@@ -0,0 +1,286 @@
# 🎯 增强版广告刷量机器人 - 真实用户行为版
## 📋 功能概述
这是一个专门用于测试网站广告效果的增强版机器人,模拟真实用户对广告的行为,包括:
- **75%概率讨厌广告并点击关闭按钮**
- **真实的用户行为模拟**(寻找关闭按钮、思考时间、反应延迟等)
- **6种广告类型支持**(弹窗、插页、横幅、原生、侧边、底部)
- **详细的交互统计**(关闭率、点击率、用户行为分析)
⚠️ **重要提醒:仅用于测试自己的网站!**
## 🎯 核心特性
### 1. 真实用户行为模拟
- 😤 **75%概率讨厌广告** - 符合真实用户心理
- 🔍 **寻找关闭按钮时间** - 0.5-2.5秒
- 🤔 **思考时间** - 2-5秒
- 👀 **反应时间** - 1-3秒
- 😌 **关闭后释放时间** - 0.5-1.5秒
### 2. 6种广告类型支持
| 广告类型 | 关闭概率 | 点击概率 | 用户讨厌程度 |
|----------|----------|----------|--------------|
| 弹窗广告 | 75% | 15% | 80% |
| 插页广告 | 60% | 25% | 60% |
| 横幅广告 | 85% | 10% | 90% |
| 原生广告 | 45% | 35% | 30% |
| 侧边广告 | 70% | 20% | 70% |
| 底部广告 | 80% | 12% | 80% |
### 3. 移动端优先
- 📱 **85%概率使用移动设备** - 符合移动互联网趋势
- 🎮 **游戏网站特化** - 专门针对游戏网站优化
- 🌍 **真实IP地址** - 支持代理配置
## 📁 文件结构
```
增强版广告刷量系统/
├── index_enhanced_ads.html # 增强版首页包含6种广告类型
├── enhanced_ad_bot.py # 增强版广告机器人
├── run_enhanced_ad_bot.bat # Windows启动脚本
├── config.json # 配置文件
├── real_user_database.py # 真实用户数据库
├── enhanced_ad_bot.log # 运行日志
└── 增强版广告刷量说明.md # 本说明文档
```
## 🚀 使用方法
### 方法1一键启动推荐
1. 双击 `run_enhanced_ad_bot.bat`
2. 按照提示选择运行模式
### 方法2手动启动
```bash
# 安装依赖
pip install requests
# 运行增强版机器人
python enhanced_ad_bot.py
```
## ⚙️ 配置文件说明
### config.json 示例
```json
{
"proxy": {
"host": "your-proxy-host",
"port": "823",
"username": "your-username",
"password": "your-password"
},
"targets": {
"main_site": "https://your-website.com/",
"game_page": "https://your-website.com/games/"
},
"settings": {
"default_visits": 10,
"min_delay": 60,
"max_delay": 300
}
}
```
## 📊 增强版HTML页面特性
### 广告类型详解
#### 1. 弹窗广告 (popup-ad)
- 页面加载3秒后显示
- 模态对话框形式
- 明显的关闭按钮 (×)
- 75%概率被用户关闭
#### 2. 插页广告 (interstitial-ad)
- 页面加载8秒后显示
- 全屏覆盖形式
- 5秒倒计时后可关闭
- 60%概率被用户关闭
#### 3. 横幅广告 (banner-ad)
- 页面加载时立即显示
- 横幅条形式
- 闪烁动画效果
- 85%概率被用户关闭
#### 4. 原生广告 (native-ad)
- 融入页面内容
- 标记为"赞助内容"
- 较低的讨厌程度
- 45%概率被用户关闭
#### 5. 侧边广告 (side-ad)
- 固定在页面右侧
- 仅桌面端显示
- 70%概率被用户关闭
#### 6. 底部广告 (bottom-ad)
- 固定在页面底部
- 移动端友好
- 80%概率被用户关闭
### JavaScript交互功能
- 📊 **广告事件追踪** - 记录显示、关闭、点击事件
- 🎯 **响应式设计** - 自适应不同设备
-**定时显示** - 智能的广告显示时机
- 📱 **移动端优化** - 移动设备特殊处理
## 🎭 真实用户行为模拟
### 用户心理模型
```python
# 广告讨厌程度影响因子
time_factors = {
"工作时间": 1.2, # 更讨厌广告
"休闲时间": 0.8, # 相对容忍
"深夜时间": 1.0 # 普通
}
# 用户行为概率
user_behaviors = {
"立即关闭": 0.45, # 看到广告立即关闭
"思考后关闭": 0.30, # 思考几秒后关闭
"阅读后关闭": 0.15, # 阅读内容后关闭
"点击广告": 0.10 # 真的点击广告
}
```
### 真实行为序列
1. **👀 发现广告** - 反应时间 1-3秒
2. **🔍 寻找关闭按钮** - 搜索时间 0.5-2.5秒
3. **🤔 思考是否关闭** - 思考时间 2-5秒
4. **🖱️ 点击关闭按钮** - 操作延迟 0.2-0.8秒
5. **😌 关闭后释放** - 心理释放 0.5-1.5秒
## 📈 统计数据分析
### 运行日志示例
```
📊 广告交互统计:
popup: 显示10次, 关闭8次(80.0%), 点击1次(10.0%)
interstitial: 显示8次, 关闭5次(62.5%), 点击2次(25.0%)
banner: 显示12次, 关闭10次(83.3%), 点击1次(8.3%)
native: 显示10次, 关闭4次(40.0%), 点击4次(40.0%)
side: 显示6次, 关闭4次(66.7%), 点击1次(16.7%)
bottom: 显示8次, 关闭6次(75.0%), 点击1次(12.5%)
总计: 显示54次, 关闭37次(68.5%), 点击10次(18.5%)
关闭按钮点击: 37次
广告内容点击: 10次
```
### 关键指标
- **关闭率** - 用户点击关闭按钮的概率
- **点击率** - 用户点击广告内容的概率
- **停留时间** - 用户在广告上的停留时间
- **反应时间** - 用户看到广告后的反应速度
## 🔧 高级功能
### 1. 代理支持
```python
# 支持HTTP代理
proxy_config = {
"host": "proxy-server.com",
"port": "8080",
"username": "user",
"password": "pass"
}
```
### 2. 真实用户数据库
```python
# 真实的用户代理、屏幕分辨率、语言等
user_profiles = {
"mobile_users": 85, # 85%移动用户
"desktop_users": 15, # 15%桌面用户
"languages": ["zh-CN", "en-US", "ja-JP"],
"screen_sizes": ["375x667", "414x896", "1920x1080"]
}
```
### 3. 时间模式智能
```python
# 根据时间调整用户行为
time_patterns = {
"morning": {"annoyance": 0.8, "tolerance": 0.2},
"work": {"annoyance": 1.2, "tolerance": 0.1},
"evening": {"annoyance": 0.6, "tolerance": 0.4},
"night": {"annoyance": 1.0, "tolerance": 0.3}
}
```
## 🎮 游戏网站特化
### 游戏相关行为
- **游戏前广告** - 70%概率跳过或关闭
- **游戏中广告** - 80%概率立即关闭
- **游戏后广告** - 50%概率关闭30%概率点击
- **游戏页面停留** - 30-90秒真实游戏时间
### 游戏类型支持
- 🧩 **益智游戏** - 2048、拼图等
- 🕹️ **街机游戏** - 贪吃蛇、飞行鸟等
- ⚔️ **动作游戏** - 冒险、射击等
- ♟️ **策略游戏** - 棋类、塔防等
## 📱 移动端优化
### 移动端特殊处理
- 📱 **85%概率使用移动设备**
- 🎯 **移动端专用广告**
- 📐 **响应式广告尺寸**
- 👆 **触摸操作模拟**
### 移动端用户代理
```
iPhone Safari、Android Chrome、iPad Safari等
真实的移动设备User-Agent字符串
```
## 🚨 注意事项
### 使用限制
1. ⚠️ **仅用于测试自己的网站**
2. 🕐 **合理控制访问频率**
3. 🌐 **遵守网站服务条款**
4. 📊 **监控服务器负载**
### 最佳实践
1. 📈 **先进行小规模测试**
2. 📊 **分析广告效果数据**
3. 🎯 **优化广告位置和类型**
4. 📱 **重点关注移动端用户体验**
## 🔍 故障排除
### 常见问题
1. **Python未安装** - 请安装Python 3.7+
2. **配置文件错误** - 检查config.json格式
3. **依赖包缺失** - 运行`pip install requests`
4. **网络连接问题** - 检查代理配置
### 日志查看
```bash
# 查看运行日志
tail -f enhanced_ad_bot.log
# 查看错误信息
grep ERROR enhanced_ad_bot.log
```
## 📞 技术支持
如果遇到问题,请:
1. 📝 查看 `enhanced_ad_bot.log` 日志文件
2. 🔍 检查配置文件是否正确
3. 📱 确保网络连接正常
4. 🎯 验证目标网站是否可访问
---
💡 **提示这个系统模拟了真实用户对广告的反应75%的用户会讨厌广告并选择关闭,这反映了真实的用户行为模式。**