优化URL抓取:增加超时时间和备用方案

- 浏览器超时从20秒增加到60秒
- 浏览器失败时使用 requests 备用方案抓取静态内容
- 解决部分网站加载慢导致超时的问题
This commit is contained in:
2026-07-13 23:11:54 +08:00
parent 4352b81c20
commit c40acab1c9
+47 -6
View File
@@ -224,16 +224,17 @@ class SearchService:
return None
def fetch_url_content(self, url):
"""抓取网页内容(使用 agent-browser 浏览器方式,过反爬虫)"""
"""抓取网页内容(使用 agent-browser 浏览器方式,过反爬虫)"""
try:
# 使用浏览器方式抓取
stdout, stderr, code = self._run_browser('open', url, '--timeout', '20000')
# 使用浏览器方式抓取,增加超时时间到60秒
stdout, stderr, code = self._run_browser('open', url, '--timeout', '60000')
if code != 0:
print(f"打开页面失败: {stderr}")
return None
# 浏览器失败,尝试使用 requests 备用方案
return self._fetch_with_requests(url)
# 等待页面加载
self._run_browser('wait', '5000')
# 等待页面加载(增加到10秒)
self._run_browser('wait', '10000')
# 获取页面标题
stdout, stderr, code = self._run_browser('get', 'title', '--timeout', '5000')
@@ -309,6 +310,46 @@ class SearchService:
return result
def _fetch_with_requests(self, url):
"""备用方案:使用 requests 抓取静态内容"""
try:
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8'
}
response = requests.get(url, headers=headers, timeout=30)
response.raise_for_status()
soup = BeautifulSoup(response.text, 'html.parser')
# 获取标题
title = soup.title.string.strip() if soup.title else ''
# 移除不需要的标签
for tag in soup(['script', 'style', 'nav', 'footer', 'header', 'aside']):
tag.decompose()
# 获取主要内容
text = soup.get_text(separator='\n', strip=True)
# 清理多余空白行
lines = [line.strip() for line in text.split('\n') if line.strip()]
text = '\n'.join(lines)
# 提取描述(前200字符)
description = text[:200].strip() if text else ''
return {
'title': title,
'description': description,
'content': text,
'url': url,
'fetch_date': datetime.now().isoformat()
}
except Exception as e:
print(f"备用抓取失败: {url}, 错误: {str(e)}")
return None
def search_articles(self, keyword, category=None):
"""从内容库搜索"""
return db.search_articles(keyword, category)