day03爬虫--豆瓣
程序员文章站
2022-05-03 08:21:53
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import requests
from lxml import html
import pandas as pd
import json
# url=""
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.190 Safari/537.36"}
tv_list = []
for i in range(0, 300, 20):
url = "https://movie.douban.com/j/search_subjects?type=tv&tag=%E7%83%AD%E9%97%A8&sort=recommend&page_limit=20&page_start={}".format(i)
response = requests.get(url, headers=headers)
print(response.status_code)
data = response.text
print(data)
data = json.loads(data)
data_list = data["subjects"]
print(type(data))
for tv in data_list:
title = tv['title']
url = tv['url']
rate = tv['rate']
tv_list.append({
"title": title,
"url": url,
"rate": rate
})
pd.DataFrame(tv_list).to_csv("tv.csv", index="False")