Python爬取豆瓣电影Top250数据

任务

爬取豆瓣电影top250中的影片名称、影片海报、年份、地区、类型、评分、评价人数、总体评价，并输出到douban_top250.xlsx文件中

环境

Python 3.8
requests
bs4
openpyxl

源码

# 创建一个新的Excel工作簿
workbook = openpyxl.Workbook()
# 获取默认的工作表
sheet = workbook.active
# 写入数据
sheet['A1'] = '序号'
sheet['B1'] = '电影名'
sheet['C1'] = '海报'
sheet['D1'] = '年份'
sheet['E1'] = '地区'
sheet['F1'] = '类型'
sheet['G1'] = '评分'
sheet['H1'] = '评价人数'
sheet['I1'] = '总体评价'
headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36"
}
index = 1
for start_page in range(0, 250, 25):response = requests.get(f"https://movie.douban.com/top250?start={start_page}", headers=headers)html = response.text# html.parser表示使用html进行解析soup = BeautifulSoup(html, "html.parser")items = soup.find_all("div", attrs={"class": "item"})for item in items:# 海报post = item.find("img").get('src')# 名称name = item.find('span', class_="title").text# 年份infos = item.find('p', class_='').text.split("\n")[2].split("/")year = infos[0].strip()location = infos[1].strip()category = infos[2].strip()rate = item.find('span', class_='rating_num').textstars = item.find('div', class_='star')rate_people = stars.contents[7].text[:-3]review = ""if item.find('span', class_='inq') is not None:review = item.find('span', class_='inq').textsheet.append([index, name, post, year, location, category, rate, rate_people, review])index = index + 1
# 保存工作簿
workbook.save('./files/douban_top250.xlsx')