电影票房数据的获取，可以控制数目，并导出表格或csv - IT评测·应用市场-qidao123.com技术社区

#本文仅供学习交流之用
import json
import requests
import pandas as pd
headers = {
'Accept': 'application/json, text/plain, */*',
'Accept-Language': 'zh-CN,zh;q=0.9',
'Cache-Control': 'no-cache',
'Connection': 'keep-alive',
'Content-Type': 'application/x-www-form-urlencoded',
'Origin': 'https://ys.endata.cn',
'Pragma': 'no-cache',
'Referer': 'https://ys.endata.cn/BoxOffice/Ranking',
'Sec-Fetch-Dest': 'empty',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Site': 'same-origin',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36',
'sec-ch-ua': '"Not/A)Brand";v="8", "Chromium";v="126", "Google Chrome";v="126"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"Windows"',
}
<strong>top=input("请你输入我查询电影票房的数目:")</strong>
data = {
'r': '0.02282167524158729',
'top': top,
'type': '0',
}
response = requests.post(
'https://ys.endata.cn/enlib-api/api/home/getrank_mainland.do',
cookies=cookies,
headers=headers,
data=data,
)
# print(response.text)
context = json.loads(response.text)
list = []
for movie_data in context['data']['table0']:
print(movie_data)
dic = {}
dic['MovieName']= movie_data['MovieName']
dic['ReleaseTime']= movie_data['ReleaseTime']
dic["BoxOffice"]= movie_data['BoxOffice']
list.append(dic)
df=pd.DataFrame(list)
df.to_csv("票房.csv")
df.to_excel("票房.xlsx",index=False)
# print(MovieName)

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