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simulated-examination/q2_1_crawler/q2_1.py
2509165045 e918de4443 1
2026-06-25 15:53:19 +08:00

42 lines
1.4 KiB
Python

import requests
from bs4 import BeautifulSoup as bs
import json
header={'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/149.0.0.0 Safari/537.36 Edg/149.0.0.0'}
url="https://exam.detr.top/exam-b/movies"
resp=requests.get(url,headers=header).text
resp.encoding="utf-8"
#print(resp.text)
soup=bs(resp.text,"html.parser")
#print(soup)
items= soup.find_all("tbody")
#print(items)
with open("movies.html", "w", encoding="utf-8") as f:
f.write(resp.text)
data=[]
for item in items:
trs=item.find_all("tr")
#print(trs)
for tr in trs:
tds=tr.find_all("td")
#print(tds)
id=int(tds[0].get_text(strip=True))
title = tds[1].get_text(strip=True)
director = tds[2].get_text(strip=True)
year = int(tds[3].get_text(strip=True))
rating = float(tds[4].get_text(strip=True))
duration = int(tds[5].get_text(strip=True))
genre = tds[6].get_text(strip=True)
actors_count = int(tds[7].get_text(strip=True))
data.append ({
"id": id,
"title": title,
"director": director,
"year": year,
"rating": rating,
"duration": duration,
"genre": genre,
"actors_count": actors_count
})
print(data)
with open("movies.json","w",encoding="utf-8") as f:
json.dump(data,f,ensure_ascii=False,indent=4)