python爬虫项目代码大全

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python爬虫项目代码大全

Python爬虫是指使用Python编写的一些程序，可以自动访问目标网站并抓取数据。Python爬虫常常被用于数据采集、网站监控、信息爬取等方面，被广泛用于商业和科研领域。在这篇文章中，我们将介绍一些Python爬虫项目，让大家更好地了解Python爬虫的应用及其相关知识点。

1. 爬取图片

Python爬虫可以用于爬取网络上的图片。比如我们可以使用Python爬虫从网上下载一系列美女图片，实现代码如下：

```Python

import requests

import os

url = 'http://www.mmjpg.com/mm/1328/1'

headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}

response = requests.get(url, headers=headers).text

# print(response)

title = response.split('')[1].split('-')[0].strip() # 获取图片标题<p>path = 'D:/test/' + title<p>if not os.path.exists(path):<p> os.makedirs(path)<p><p>img_urls = response.split('img src="')[1:]<p>for img_url in img_urls:<p> img_url = img_url.split('"')[0]<p> img_name = img_url.split('/')[-1]<p> img_path = path + '/' + img_name<p> if not os.path.exists(img_path):<p> img = requests.get(img_url, headers=headers).content<p> with open(img_path, 'wb') as f:<p> f.write(img)<p>```<p><p>2. 爬取新闻<p><p>Python爬虫也可以用于爬取网络上的新闻。我们以网易新闻为例，进行数据爬取：<p><p>```Python<p>import requests<p>from bs4 import BeautifulSoup<p><p>url = 'https://news.163.com/'<p>headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (K<a href="https://www.yihanseo.com/addons/cms/go/index.html?id=29" target="_blank">HTML</a>, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}<p>response = requests.get(url, headers=headers).content.decode()<p><p>soup = BeautifulSoup(response, '<a href="https://www.yihanseo.com/addons/cms/go/index.html?id=29" target="_blank">html</a>.parser')<p>lis = soup.find_all('li')<p>for li in lis:<p> a = li.find('a')<p> if a:<p> title = a.text.strip()<p> news_url = a['href']<p> print(title, news_url)<p>```<p><p>3. 爬取电影信息<p><p>我们可以使用Python爬虫从豆瓣网上爬取电影信息，实现代码如下：<p><p>```Python<p>import requests<p>from bs4 import BeautifulSoup<p><p>url = 'https://movie.douban.com/top250'<p>headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (K<a href="https://www.yihanseo.com/addons/cms/go/index.html?id=29" target="_blank">HTML</a>, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}<p>response = requests.get(url, headers=headers).content.decode()<p><p>soup = BeautifulSoup(response, 'html.parser')<p>lis = soup.find_all('li', class_='clearfix')<p>for li in lis:<p> name = li.find('span', class_='title').text.strip()<p> rating_num = li.find('span', class_='rating_num').text.strip()<p> print(name, rating_num)<p>```<p><p>在进行Python爬虫时，还需要注意以下几点：<p><p>1. 爬虫速度过快会给目标网站带来很大的负担，甚至可能导致网站崩溃。因此在编写Python爬虫时需要添加合理的时间间隔。<p><p>2. 许多网站会采用反爬虫技术，如IP封锁、验证码等手段。在进行Python爬虫时需要相应地采取反反爬虫技术，如使用代理IP等手段。<p><p>3. 在进行数据爬取时，要注意不要侵犯他人的隐私，不要泄露重要信息。同时，要遵循网站规则，不要进行拖垮网站的行为。<p><p>总之，Python爬虫在数据采集、网站监控、信息爬取等方面有着广泛的应用，对于数据分析及其他相关领域来说具有非常重要的意义。但我们需要注意代码逻辑、代码质量，同时也需要遵守相关规则及法律法规。 <p><b><a href="https://www.yihanseo.com/" title="宁波壹涵网络科技有限公司">壹涵网络</a></b>我们是一家专注于网站建设、企业营销、网站关键词排名、AI内容生成、新媒体营销和短视频营销等业务的公司。我们拥有一支优秀的团队，专门致力于为客户提供优质的服务。</p> <p>我们致力于为客户提供一站式的互联网营销服务，帮助客户在激烈的市场竞争中获得更大的优势和发展机会！</p> </p>  </div>    <div class="article-donate"> <a href="javascript:" class="btn btn-primary btn-like btn-lg" data-action="vote" data-type="like" data-id="3748" data-tag="archives"><i class="fa fa-thumbs-up"></i> 点赞(<span>79</span>)</a> <a href="javascript:" class="btn btn-outline-primary btn-donate btn-lg" data-action="donate" data-id="3748" data-image="/uploads/20230423/f46de2f59845ba6ad275105ed919fa32.jpg"><i class="fa fa-cny"></i> 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