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	<title>Python Archives - CNERIS</title>
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		<title>一个用 Python 编写的 Traffic Bot</title>
		<link>https://cneris.com/zh/%e4%b8%80%e4%b8%aa%e7%94%a8-python-%e7%bc%96%e5%86%99%e7%9a%84-traffic-bot/</link>
					<comments>https://cneris.com/zh/%e4%b8%80%e4%b8%aa%e7%94%a8-python-%e7%bc%96%e5%86%99%e7%9a%84-traffic-bot/#respond</comments>
		
		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Wed, 02 Oct 2024 16:36:43 +0000</pubDate>
				<category><![CDATA[Python]]></category>
		<category><![CDATA[SEO]]></category>
		<category><![CDATA[系统管理]]></category>
		<category><![CDATA[脚本]]></category>
		<category><![CDATA[python]]></category>
		<category><![CDATA[traffic bot]]></category>
		<category><![CDATA[traffic generator]]></category>
		<guid isPermaLink="false">https://cneris.com/?p=2335</guid>

					<description><![CDATA[<p>用 Python 编写的 Traffic Bot可以用来生成模拟的网络流量。这里我会为你提供一个简单的示例代码，并解释如何使用这个Python Traffic Bot。 Traffic Bot的Python示例代码 这个简单的Python脚本会发送HTTP请求到指定的网站，模拟用户访问网页。你可以根据需要修改它来生成更多流量。 示例代码： import requests import time import random # 定义目标网站的URL url = ‘https://example.com’ # 设置用户代理，以模拟真实浏览器请求 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′ } # 模拟流量的主函数 def traffic_bot(url, num_requests, delay): for i in range(num_requests): try: response = requests.get(url, [...]</p>
<p>The post <a href="https://cneris.com/zh/%e4%b8%80%e4%b8%aa%e7%94%a8-python-%e7%bc%96%e5%86%99%e7%9a%84-traffic-bot/">一个用 Python 编写的 Traffic Bot</a> appeared first on <a href="https://cneris.com/zh">CNERIS</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>用 Python 编写的 Traffic Bot可以用来生成模拟的网络流量。这里我会为你提供一个简单的示例代码，并解释如何使用这个Python Traffic Bot。<span id="more-2335"></span></p>
<h3>Traffic Bot的Python示例代码</h3>
<p>这个简单的Python脚本会发送HTTP请求到指定的网站，模拟用户访问网页。你可以根据需要修改它来生成更多流量。</p>
<h4>示例代码：</h4>
<div class="dark bg-gray-950 contain-inline-size rounded-md border-[0.5px] border-token-border-medium relative">
<div class="overflow-y-auto p-4" dir="ltr">
<p>import requests<br />
import time<br />
import random</p>
<p># 定义目标网站的URL<br />
url = &#8216;https://example.com&#8217;</p>
<p># 设置用户代理，以模拟真实浏览器请求<br />
headers = {<br />
&#8216;User-Agent&#8217;: &#8216;Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3&#8242;<br />
}</p>
<p># 模拟流量的主函数<br />
def traffic_bot(url, num_requests, delay):<br />
for i in range(num_requests):<br />
try:<br />
response = requests.get(url, headers=headers)<br />
if response.status_code == 200:<br />
print(f&#8217;请求 {i + 1} 成功，状态码: {response.status_code}&#8217;)<br />
else:<br />
print(f&#8217;请求 {i + 1} 失败，状态码: {response.status_code}&#8217;)<br />
except Exception as e:<br />
print(f&#8217;请求 {i + 1} 出错: {e}&#8217;)</p>
<p># 随机延迟，模拟不同用户的行为<br />
time.sleep(delay + random.uniform(0.5, 2.0))</p>
<p># 使用Traffic Bot，发送100个请求，每次请求间隔2秒<br />
traffic_bot(url, num_requests=100, delay=2)</p>
</div>
</div>
<h3>使用说明：</h3>
<h4>1. 依赖安装</h4>
<p>你需要安装<code>requests</code>库，来发送HTTP请求。如果你还没有安装它，可以通过以下命令安装：</p>
<div class="dark bg-gray-950 contain-inline-size rounded-md border-[0.5px] border-token-border-medium relative">
<div class="overflow-y-auto p-4" dir="ltr"><code class="!whitespace-pre hljs language-bash">pip install requests<br />
</code></div>
</div>
<h4>2. 代码解释</h4>
<ul>
<li><strong>url</strong>: 目标网站的URL，你可以将其替换为你希望生成流量的网页地址。</li>
<li><strong>headers</strong>: 设置用户代理头，模拟真实用户浏览器请求。这有助于避免被服务器屏蔽为机器人请求。</li>
<li><strong>traffic_bot函数</strong>: 这是生成流量的核心函数。它会发送指定数量的请求（通过<code>num_requests</code>设置），并且在每个请求之间有一个随机的延迟（通过<code>delay</code>设置），以模拟不同用户的访问行为。</li>
</ul>
<h4>3. 参数设置</h4>
<ul>
<li><strong>num_requests</strong>: 设置要发送的请求数量。</li>
<li><strong>delay</strong>: 请求之间的基本延迟时间，单位是秒。通过加入随机延迟，可以让流量更接近真实用户的行为。</li>
</ul>
<h4>4. 运行脚本</h4>
<p>运行脚本时，Python会开始向指定的URL发送请求，并在终端输出每个请求的状态。</p>
<div class="dark bg-gray-950 contain-inline-size rounded-md border-[0.5px] border-token-border-medium relative">
<div class="overflow-y-auto p-4" dir="ltr"><code class="!whitespace-pre hljs language-bash">python traffic_bot.py</code></div>
</div>
<p>The post <a href="https://cneris.com/zh/%e4%b8%80%e4%b8%aa%e7%94%a8-python-%e7%bc%96%e5%86%99%e7%9a%84-traffic-bot/">一个用 Python 编写的 Traffic Bot</a> appeared first on <a href="https://cneris.com/zh">CNERIS</a>.</p>
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			</item>
		<item>
		<title>如何检测网站上的重复链接</title>
		<link>https://cneris.com/zh/%e5%a6%82%e4%bd%95%e6%a3%80%e6%b5%8b%e7%bd%91%e7%ab%99%e4%b8%8a%e7%9a%84%e9%87%8d%e5%a4%8d%e9%93%be%e6%8e%a5/</link>
					<comments>https://cneris.com/zh/%e5%a6%82%e4%bd%95%e6%a3%80%e6%b5%8b%e7%bd%91%e7%ab%99%e4%b8%8a%e7%9a%84%e9%87%8d%e5%a4%8d%e9%93%be%e6%8e%a5/#respond</comments>
		
		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Wed, 02 Oct 2024 16:02:54 +0000</pubDate>
				<category><![CDATA[Python]]></category>
		<category><![CDATA[SEO]]></category>
		<category><![CDATA[系统管理]]></category>
		<category><![CDATA[脚本]]></category>
		<category><![CDATA[python]]></category>
		<guid isPermaLink="false">https://cneris.com/?p=2327</guid>

					<description><![CDATA[<p>检测网站上的重复链接对于 SEO 优化和改善用户体验非常重要。以下是几种实现方式： 使用在线工具： 像 Screaming Frog 或 Ahrefs 这样的工具允许你爬取网站上的所有链接，并显示是否存在重复链接。 Screaming Frog 具有一个专门的功能，用于跟踪所有内部和外部链接，并查找重复项。 使用自定义脚本： 你可以使用 Python 脚本 和 BeautifulSoup 库来提取所有链接，然后检查是否有重复链接。 Python 示例： import requests from bs4 import BeautifulSoup from collections import Counter url = ‘https://你的站点.com’ response = requests.get(url) soup = BeautifulSoup(response.text, ‘html.parser’) links = [link.get(‘href’) for link in soup.find_all(‘a’) if link.get(‘href’)] duplicates = [item for [...]</p>
<p>The post <a href="https://cneris.com/zh/%e5%a6%82%e4%bd%95%e6%a3%80%e6%b5%8b%e7%bd%91%e7%ab%99%e4%b8%8a%e7%9a%84%e9%87%8d%e5%a4%8d%e9%93%be%e6%8e%a5/">如何检测网站上的重复链接</a> appeared first on <a href="https://cneris.com/zh">CNERIS</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>检测网站上的重复链接对于 SEO 优化和改善用户体验非常重要。以下是几种实现方式：<span id="more-2327"></span></p>
<ol>
<li><strong>使用在线工具</strong>：
<ul>
<li>像 <strong>Screaming Frog</strong> 或 <strong>Ahrefs</strong> 这样的工具允许你爬取网站上的所有链接，并显示是否存在重复链接。</li>
<li><strong>Screaming Frog</strong> 具有一个专门的功能，用于跟踪所有内部和外部链接，并查找重复项。</li>
</ul>
</li>
<li><strong>使用自定义脚本</strong>：
<ul>
<li>你可以使用 <strong>Python 脚本</strong> 和 <strong>BeautifulSoup</strong> 库来提取所有链接，然后检查是否有重复链接。</li>
</ul>
<p>Python 示例：</p>
<div class="dark bg-gray-950 contain-inline-size rounded-md border-[0.5px] border-token-border-medium relative">
<div class="sticky top-9 md:top-[5.75rem]"></div>
<div class="overflow-y-auto p-4" dir="ltr"><code class="!whitespace-pre hljs language-python"><span class="hljs-keyword">import</span> requests<br />
<span class="hljs-keyword">from</span> bs4 <span class="hljs-keyword">import</span> BeautifulSoup<br />
<span class="hljs-keyword">from</span> collections <span class="hljs-keyword">import</span> Counter</p>
<p>url = <span class="hljs-string">'https://你的站点.com'</span><br />
response = requests.get(url)<br />
soup = BeautifulSoup(response.text, <span class="hljs-string">'html.parser'</span>)</p>
<p>links = [link.get(<span class="hljs-string">'href'</span>) <span class="hljs-keyword">for</span> link <span class="hljs-keyword">in</span> soup.find_all(<span class="hljs-string">'a'</span>) <span class="hljs-keyword">if</span> link.get(<span class="hljs-string">'href'</span>)]<br />
duplicates = [item <span class="hljs-keyword">for</span> item, count <span class="hljs-keyword">in</span> Counter(links).items() <span class="hljs-keyword">if</span> count &gt; <span class="hljs-number">1</span>]</p>
<p><span class="hljs-built_in">print</span>(<span class="hljs-string">f'重复链接: <span class="hljs-subst">{duplicates}</span>'</span>)<br />
</code></div>
</div>
</li>
<li><strong>使用浏览器扩展</strong>：
<ul>
<li>一些浏览器扩展程序，例如 Chrome 的 <strong>Check My Links</strong>，可以验证页面上的链接，并检测是否有重复或损坏的链接。</li>
</ul>
</li>
</ol>
<p>The post <a href="https://cneris.com/zh/%e5%a6%82%e4%bd%95%e6%a3%80%e6%b5%8b%e7%bd%91%e7%ab%99%e4%b8%8a%e7%9a%84%e9%87%8d%e5%a4%8d%e9%93%be%e6%8e%a5/">如何检测网站上的重复链接</a> appeared first on <a href="https://cneris.com/zh">CNERIS</a>.</p>
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		<title>Discuz 自动登录和发帖回帖的Python脚本</title>
		<link>https://cneris.com/zh/discuz-%e8%87%aa%e5%8a%a8%e7%99%bb%e5%bd%95%e5%92%8c%e5%8f%91%e5%b8%96%e5%9b%9e%e5%b8%96%e7%9a%84python%e8%84%9a%e6%9c%ac/</link>
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		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Sat, 28 Sep 2024 15:48:15 +0000</pubDate>
				<category><![CDATA[Python]]></category>
		<category><![CDATA[系统管理]]></category>
		<category><![CDATA[脚本]]></category>
		<category><![CDATA[discuz]]></category>
		<category><![CDATA[logging]]></category>
		<category><![CDATA[posting]]></category>
		<category><![CDATA[python]]></category>
		<category><![CDATA[scripting]]></category>
		<guid isPermaLink="false">https://cneris.com/?p=2261</guid>

					<description><![CDATA[<p>#!/usr/bin/python3 # -*- coding: utf-8 -*- import logging import re import requests class AutoDiscuz: LOGIN_URL = “/member.php?mod=logging&amp;action=login&amp;loginsubmit=yes” LOGIN_POST = {“username”: “”, “password”: “”} def __init__(self, forum_url, user_name, password): “””初始化论坛 url、用户名、密码和代理服务器.””” self.forum_url = forum_url self.user_name = user_name self.password = password self.formhash = None self.is_login = False self.session = requests.Session() logging.basicConfig(level=logging.INFO, format=”[%(levelname)1.1s %(asctime)s] %(message)s”) def login(self): “””登录论坛.””” [...]</p>
<p>The post <a href="https://cneris.com/zh/discuz-%e8%87%aa%e5%8a%a8%e7%99%bb%e5%bd%95%e5%92%8c%e5%8f%91%e5%b8%96%e5%9b%9e%e5%b8%96%e7%9a%84python%e8%84%9a%e6%9c%ac/">Discuz 自动登录和发帖回帖的Python脚本</a> appeared first on <a href="https://cneris.com/zh">CNERIS</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>#!/usr/bin/python3<br />
# -*- coding: utf-8 -*-<span id="more-2261"></span></p>
<p>import logging<br />
import re</p>
<p>import requests</p>
<p>class AutoDiscuz:<br />
LOGIN_URL = &#8220;/member.php?mod=logging&amp;action=login&amp;loginsubmit=yes&#8221;<br />
LOGIN_POST = {&#8220;username&#8221;: &#8220;&#8221;, &#8220;password&#8221;: &#8220;&#8221;}</p>
<p>def __init__(self, forum_url, user_name, password):<br />
&#8220;&#8221;&#8221;初始化论坛 url、用户名、密码和代理服务器.&#8221;&#8221;&#8221;<br />
self.forum_url = forum_url<br />
self.user_name = user_name<br />
self.password = password<br />
self.formhash = None<br />
self.is_login = False<br />
self.session = requests.Session()<br />
logging.basicConfig(level=logging.INFO,<br />
format=&#8221;[%(levelname)1.1s %(asctime)s] %(message)s&#8221;)</p>
<p>def login(self):<br />
&#8220;&#8221;&#8221;登录论坛.&#8221;&#8221;&#8221;<br />
url = self.forum_url + AutoDiscuz.LOGIN_URL<br />
AutoDiscuz.LOGIN_POST[&#8220;username&#8221;] = self.user_name<br />
AutoDiscuz.LOGIN_POST[&#8220;password&#8221;] = self.password<br />
req = self.session.post(url, data=AutoDiscuz.LOGIN_POST)<br />
if self.user_name in req.text:<br />
self.is_login = True<br />
if self.get_formhash():<br />
logging.info(&#8220;Login success!&#8221;)<br />
return<br />
logging.error(&#8220;Login faild!&#8221;)</p>
<p>def get_formhash(self):<br />
&#8220;&#8221;&#8221;获取 formhash.&#8221;&#8221;&#8221;<br />
req = self.session.get(self.forum_url)<br />
rows = re.findall(<br />
r&#8221;&lt;input type=\&#8221;hidden\&#8221; name=\&#8221;formhash\&#8221; value=\&#8221;(.*?)\&#8221; /&gt;&#8221;, req.text)<br />
if len(rows) != 0:<br />
self.formhash = rows[0]<br />
logging.info(&#8220;Formhash is: &#8221; + self.formhash)<br />
return True<br />
else:<br />
logging.error(&#8220;None formhash!&#8221;)<br />
return False</p>
<p>def reply(self, tid, subject=&#8221;&#8221;, msg=&#8221;6666666666666666666&#8243;):<br />
&#8220;&#8221;&#8221;回帖.&#8221;&#8221;&#8221;<br />
url = self.forum_url + \<br />
&#8220;/forum.php?mod=post&amp;action=reply&amp;replysubmit=yes&amp;inajax=1&amp;tid=&#8221; + \<br />
str(tid)<br />
post_data = {&#8220;formhash&#8221;: self.formhash,<br />
&#8220;message&#8221;: msg, &#8220;subject&#8221;: subject}<br />
content = self.session.post(url, post_data).text<br />
if &#8220;发布成功&#8221; in content:<br />
logging.info(&#8220;Tid: &#8221; + str(tid) + &#8221; reply success!&#8221;)<br />
return True<br />
else:<br />
logging.error(&#8220;Tid: &#8221; + str(tid) + &#8221; reply faild!&#8221;)<br />
return False</p>
<p>def main():<br />
auto_discuz = AutoDiscuz(&#8220;http://url&#8221;, &#8220;account&#8221;, &#8220;password&#8221;)<br />
auto_discuz.login()<br />
if auto_discuz.is_login:<br />
auto_discuz.reply(tid=1000)</p>
<p>if __name__ == &#8220;__main__&#8221;:<br />
main()</p>
<p>The post <a href="https://cneris.com/zh/discuz-%e8%87%aa%e5%8a%a8%e7%99%bb%e5%bd%95%e5%92%8c%e5%8f%91%e5%b8%96%e5%9b%9e%e5%b8%96%e7%9a%84python%e8%84%9a%e6%9c%ac/">Discuz 自动登录和发帖回帖的Python脚本</a> appeared first on <a href="https://cneris.com/zh">CNERIS</a>.</p>
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