56 lines
2.0 KiB
Python
56 lines
2.0 KiB
Python
# -*- coding: utf-8 -*-
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import os
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import requests
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import xml.etree.ElementTree as ET
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import xmltodict
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import json
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# 测试用爬虫请求头
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headers = {
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"Content-Type": "application/atom+xml; charset=utf-8",
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"Cache-Control": "no-cache",
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"Upgrade-Insecure-Requests": "1",
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"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.55 Safari/537.36",
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"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",
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"Accept-Language": "zh-CN,zh;q=0.9"
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}
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def fetch_rss(url, headers):
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response = requests.get(url, headers=headers)
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response.raise_for_status() # 检查请求是否成功
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# print(response.content.decode('utf-8')) # 打印响应内容，确保获取的数据是正确的 XML 格式
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return response.content
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# 先知社区 爬虫
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def xianzhi_main():
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url = "https://xz.aliyun.com/feed"
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rss_content = fetch_rss(url, headers)
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# 将 XML 数据转换为 Python 字典
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data = xmltodict.parse(rss_content)
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# 提取所有的 <entry> 元素
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entries = data['feed']['entry']
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# 创建一个空列表来存储每个 <entry> 的 JSON 数据
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entries_json = []
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# 遍历每个 <entry> 元素，提取信息，并添加到列表中
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for entry in entries:
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entry_dict = {
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'title': entry.get('title', ''),
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'link': entry.get('link', {}).get('@href', ''), # 提取链接
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'published': entry.get('published', ''),
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'id': entry.get('id', ''),
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'summary': entry.get('summary', '')
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}
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entries_json.append(entry_dict)
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# 将 <entry> 元素的列表转换为 JSON 格式
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json_data = json.dumps(entries_json, ensure_ascii=False, indent=4)
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# 保存 JSON 数据到文件
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with open('./JSON/xianzhi.json', 'w', encoding='utf-8') as json_file:
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json_file.write(json_data)
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print("数据已保存到./JSON/xianzhi.json！")
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