豆瓣电影python爬虫

豆瓣电影的Python爬虫可以用来获取豆瓣高分电影的相关信息，并制作成图表进行展示。以下是一个简单的豆瓣电影Python爬虫的代码示例：

import requests
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
from fake_useragent import UserAgent

def url_parse():
    url = "https://movie.douban.com/j/search_subjects?type=movie&tag=豆瓣高分&sort=rank&page_limit=20&page_start=0"
    headers = {"User-Agent": UserAgent().random}
    response = requests.get(url=url, headers=headers).json()
    return response

def content_parse(res):
    vedio_name = []
    vedio_rate = []
    content = res["subjects"]
    for i in content:
        name = i["title"]
        rate = i["rate"]
        vedio_name.append(name)
        vedio_rate.append(float(rate))
    return vedio_name, vedio_rate

def make_pic(name, rate):
    fig = plt.figure(figsize=(15, 8), dpi=80)
    font = FontProperties(fname=r"STZHONGS.TTF", size=12)
    plt.barh(name[::-1], rate[::-1], color="red")
    x_ = [i * 0.5 for i in range(1, 21)]
    plt.xticks(x_, fontproperties=font)
    plt.yticks(name, fontproperties=font)
    plt.savefig("豆瓣.png")
    plt.show()

response = url_parse()
vedio_name, vedio_rate = content_parse(response)
make_pic(vedio_name, vedio_rate)

这个爬虫的功能是通过发送HTTP请求获取豆瓣高分电影的数据，然后解析数据并提取电影的名称和评分，最后将这些数据制作成水平条形图进行展示。使用的库包括requests、matplotlib和fake_useragent。其中，requests用于发送HTTP请求，matplotlib用于制作图表，fake_useragent用于生成随机的User-Agent以模拟浏览器请求。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* *3* [Python爬虫爬取豆瓣高分电影附源码(详细适合新手)](https://blog.csdn.net/gushuiwuqiu/article/details/117383666)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 100%"]
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