1. 需要的类库

import requests
import pandas as pd

2. 分析

通过分析，本站的热榜数据可以直接通过接口拿到，故不需要解析标签，请求热榜数据接口

    url = "https://xxxt/xxxx/web/blog/hot-rank?page=0&pageSize=25&type=" #本站地址

直接请求解析会有点问题，数据无法解析，加上请求头

headers = {"Accept": "*/*","Accept-Encoding": "gzip, deflate, br","Accept-Language": "zh-CN,zh;q=0.9","Sec-Ch-Ua": "\"Chromium\";v=\"116\", \"Not)A;Brand\";v=\"24\", \"Google Chrome\";v=\"116\"","Sec-Ch-Ua-Mobile": "?1","Sec-Ch-Ua-Platform": "\"Android\"","Sec-Fetch-Dest": "empty","Sec-Fetch-Mode": "cors","Sec-Fetch-Site": "same-site","User-Agent": "Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Mobile Safari/537.36"
}

完整请求代码

    # 发送HTTP请求r = requests.get(url, headers=headers)# 解析JSON数据data = r.json()# 提取所需信息articles = []for item in data["data"]:title = item["articleTitle"]link = item["articleDetailUrl"]rank = item["hotRankScore"]likes = item["favorCount"]comments = item["commentCount"]views = item["viewCount"]author = item["nickName"]time = item["period"]articles.append({"标题": title,"链接": link,"热度分": rank,"点赞数": likes,"评论数": comments,"查看数": views,"作者": author,"时间": time})

3.导出Excel

    # 创建DataFramedf = pd.DataFrame(articles)# 将DataFrame保存为Excel文件df.to_excel("csdn_top.xlsx", index=False)

4. 成果展示