get economist's world in brief from homepage

rsshub/spiders/economist/worldbrief.py

@@ -1,27 +1,62 @@
 import re
+import json
+from bs4 import BeautifulSoup
 from rsshub.utils import DEFAULT_HEADERS
 from rsshub.utils import fetch
 
 domain = 'https://www.economist.com'
 
-def parse(post):
-    item = {}
-    item['title'] = post.css('div').css('p').get()
-    item['description'] = item['title'] 
-    item['title'] = re.sub(r'<[^>]*>', '', item['title']).strip()
-    item['link'] =  f"{domain}/the-world-in-brief" + '?from=' + item['title'][:30] 
+def extract_text(node):
+    if isinstance(node, dict):
+        if 'data' in node:
+            return node['data']
+        elif 'children' in node:
+            return ''.join(extract_text(child) for child in node['children'])
+    elif isinstance(node, list):
+        return ''.join(extract_text(child) for child in node)
+    return '' 
+
+def parse_news(gobbet):
+    """
+    生成单条 news 的新闻内容，提取标题和正文。
+    """   
+    title = gobbet.strip()
+    item = {
+        'title': title,  
+        'description': title,   # 简单设置正文为描述
+        'link': f"{domain}/the-world-in-brief?from={title[:30]}"  # 生成链接
+    }
     return item
 
 def ctx(category=''):
-    url = f"{domain}/the-world-in-brief"
-    tree = fetch(url,headers=DEFAULT_HEADERS)
-    posts = tree.css('._gobbet')
+    """
+    解析 JSON 数据，提取所有brief news的内容。
+    """
+    url = f"{domain}/"
+    html = fetch(url, headers=DEFAULT_HEADERS).get()
+    soup = BeautifulSoup(html, 'html.parser')
+    script_tag = soup.find('script', id="__NEXT_DATA__", type="application/json")
+
+    if not script_tag:
+        raise ValueError("Could not find __NEXT_DATA__ script tag.")
+
+    # Load JSON content
+    data = json.loads(script_tag.string)
+
+    news_list = data.get('props', {}).get('pageProps', {}).get('worldInBrief', {}).get('text', [])[:-2]
     
+    news_list_new = []
+    for item in news_list:
+        if item['type'] == 'tag' and item['name'] == 'p':  # 确保是段落
+            news_list_new.append(extract_text(item['children']))    
+
+    # 使用 parse_gobbet 解析每一条新闻
+    items = [parse_news(news) for news in news_list_new]
+
     return {
-        'title': f'World Brief - Economist',
+        'title': 'World Brief - Economist',
         'link': url,
-        'description': f'The world in brief: Catch up quickly on the global stories that matter',
+        'description': 'The world in brief: Catch up quickly on the global stories that matter',
         'author': 'hillerliao',
-        'items': list(map(parse, posts)) 
+        'items': items
     }
-