# -*- coding: UTF-8 -*- ''' @Project :domainScanDemo @File :chinaz_detector.py @IDE :PyCharm @Author :梦伴 @Date :2026/4/9 0:01 @explain : 站长之家检测器 ''' import requests from curl_cffi import requests as curl_requests import re from app.detectors.base import BaseDetector class ChinazDetector(BaseDetector): """ 站长之家检测器 """ def __init__(self): """ 初始化站长之家检测器 """ super().__init__() self.url = 'https://seo.chinaz.com' self.query_url = 'https://seo.chinaz.com/{domain}' def check_domain(self, domain): """ 检测域名 :param domain: 域名 :return: dict - 检测结果 """ try: # 构建查询URL query_url = self.query_url.format(domain=domain) headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/146.0.0.0 Safari/537.36' } # 使用curl_cffi模拟浏览器 response = curl_requests.get(query_url, headers=headers, impersonate='chrome', timeout=10) if response.status_code == 200: content = response.text # 提取标题 title = self._extract_title(content) # 提取网站分类 category = self._extract_category(content) # 检查是否包含敏感词 has_sensitive = self._check_sensitive(title, category) return { 'title': title, 'category': category, 'has_sensitive': has_sensitive } else: self._log_warning(f"站长之家查询失败: {response.status_code}") return {'error': f'HTTP {response.status_code}'} except Exception as e: return self._handle_exception(e, domain) def _extract_title(self, content): """ 提取标题 :param content: 页面内容 :return: str - 标题 """ try: pattern = r'(.*?)' match = re.search(pattern, content) if match: return match.group(1).strip() return '' except Exception as e: self._handle_exception(e, 'extract_title') return '' def _extract_category(self, content): """ 提取网站分类 :param content: 页面内容 :return: str - 分类 """ try: # 这里需要根据实际页面结构调整正则表达式 pattern = r'网站分类:]+>(.*?)' match = re.search(pattern, content) if match: return match.group(1).strip() return '' except Exception as e: self._handle_exception(e, 'extract_category') return '' def _check_sensitive(self, title, category): """ 检查是否包含敏感词 :param title: 标题 :param category: 分类 :return: bool - 是否包含敏感词 """ # 敏感分类 sensitive_categories = ['视频电影', '体育运动', '常用查询'] # 敏感词 sensitive_words = ['色情', '赌博', '博彩', '毒品', '暴力', '诈骗'] # 检查分类 for cat in sensitive_categories: if cat in category: return True # 检查标题 for word in sensitive_words: if word in title: return True return False