[Python] Comprehensive Guide to Using Proxies in Python: HTTP, SOCKS, and Asynchronou

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Using proxies in Python is quite common, especially for tasks like web scraping, anonymization, or bypassing network restrictions. Below are a few ways to work with proxies in Python, focusing on libraries like.


Code For MOMO Proxy settings in Python:
HTTP:
 

Code:

[code]
import requests
# Send requests using an HTTP proxy
proxy_http = { 
 'http': 'http://proxy.momoproxy.com:8100', 
  'https': 'http://proxy.momoproxy.com:8100'
}
response_http = requests.get('https://ipinfo.io', proxies=proxy_http, auth=('account','password'))
print(response_http.text)

[/code]
 

Code:

 

SOCKS5

Code:

 

Code:

import requests

# Send requests using SOCKS5 proxy
proxy_socks5 = {
    'http': 'socks5://proxy.momoproxy.com:8100', 
    'https': 'socks5://proxy.momoproxy.com:8100'
}

response_socks5 = requests.get('https://ipinfo.io', proxies=proxy_socks5, auth=('account','password'))
10print(response_socks5.text)

Using proxies in Python is quite common, especially for tasks like web scraping, anonymization, or bypassing network restrictions. Below are a few ways to work with proxies in Python, focusing on libraries like.

 

Code:

requests

and more advanced usage with SOCKS proxies.1. Using

Code:

requests

with an HTTP ProxyThe

Code:

requests

library makes it easy to work with proxies. Here's an example of how to use an HTTP proxy:
 python
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Code:

import requests # Define the proxy proxies = { 'http': 'http://username:password@proxyserver:port', 'https': 'https://username:password@proxyserver:port', } # Send a request through the proxy response = requests.get('http://httpbin.org/ip', proxies=proxies) print(response.json())

2. Using

Code:

socks

for SOCKS ProxyFor SOCKS proxies (e.g., SOCKS5), you can use

Code:

socks

with

Code:

requests

. First, you'll need to install the required packages:
 bash
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Code:

pip install requests[socks]

Then, configure the proxy like this:

 python
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Code:

import requests proxies = { 'http': 'socks5://username:password@proxyserver:port', 'https': 'socks5://username:password@proxyserver:port', } response = requests.get('http://httpbin.org/ip', proxies=proxies) print(response.json())

3. Manually Setting Proxies with

Code:

http.client

If you need more control, you can manually manage proxies using the

Code:

http.client

library:
 python
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Code:

import http.client # Connect to the proxy server conn = http.client.HTTPConnection('proxyserver', port) # Set up tunneling conn.set_tunnel('www.example.com', port=80) conn.request('GET', '/') # Get the response response = conn.getresponse() print(response.status, response.reason) # Read the data data = response.read() print(data.decode())

4. Advanced Proxying with

Code:

PySocks

For advanced SOCKS proxy handling, you can use

Code:

PySocks

. First, install the package:
 bash
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Code:

pip install pysocks

Here’s an example:

 python
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Code:

import socket import socks # Set SOCKS5 proxy socks.set_default_proxy(socks.SOCKS5, "proxyserver", port) socket.socket = socks.socksocket # Make an HTTP request using the proxy import requests response = requests.get('http://httpbin.org/ip') print(response.text)

5. Asynchronous Proxying with

Code:

aiohttp

If you need to make asynchronous HTTP requests, the

Code:

aiohttp

library allows proxy support in an async context:
 bash
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Code:

pip install aiohttp

Example usage:

 python
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Code:

import aiohttp import asyncio async def fetch(): async with aiohttp.ClientSession() as session: proxy = "http://username:password@proxyserver:port" async with session.get('http://httpbin.org/ip', proxy=proxy) as response: print(await response.text()) # Run the async function asyncio.run(fetch())

Strengths of This Approach

• Flexibility: The examples cover a wide range of scenarios (HTTP, SOCKS, synchronous, asynchronous).
  
• Clarity: The code examples are concise and easy to follow, allowing beginners to quickly implement proxy usage in their own projects.
  

Opportunities for Enhancement

• Error Handling: Adding exception handling in the examples could make the code more robust in production environments.
  
• Customization: If you're dealing with different types of proxies or authentication mechanisms, consider explaining how users can further customize the proxy setup.
  

This should give you a strong starting point for working with proxies in Python! Let me know if you need further clarification or more advanced use cases!

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1. 80M+ Original Residential IPs;
   
2. 99.96% Uptime;
   
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This is a bump

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This is a bump

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This is a bump

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WOW. ChatGPT told me that some script yesterday 

@/MrSh4dow on Telegram
 check my shop 

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In today’s digital world, proxies play a crucial role in maintaining online privacy and bypassing geo-restrictions. Telegram, being one of the most popular messaging platforms, often needs proxies to bypass government-imposed restrictions or regional limitations. A Telegram Proxy Scraper Bot built in Python can be an efficient tool to automatically gather fresh proxy lists from public sources. In this article, we will build a simple bot that scrapes proxies and delivers them to a Telegram channel or user.
Why Use a Proxy Scraper Bot?Proxies are necessary for tasks like:

• Avoiding IP blocks when scraping websites.
  
• Bypassing regional restrictions.
  
• Maintaining anonymity online.
  

With the Telegram platform, users often require proxies for accessing blocked services or improving their network speeds. This bot automates the process of gathering new proxies, reducing the manual work of finding reliable proxy sources.
PrerequisitesBefore starting, ensure you have the following:

1. Python 3.x installed.
   
2. Telegram Bot API token (create a bot using BotFather).
   
3. BeautifulSoup for web scraping.
   
4. Requests for making HTTP requests.
   
5. Python Telegram Bot library.
   

Setting up the BotStep 1: Install the Required LibrariesYou will need the following Python libraries:

 bash
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Code:

pip install requests pip install beautifulsoup4 pip install python-telegram-bot

Step 2: Create a Bot Using BotFatherGo to Telegram, search for BotFather, and follow the steps to create a new bot. Once the bot is created, you will get a token that will be used to authenticate your bot.
Step 3: Scrape Proxy WebsitesWe will scrape proxy websites to get fresh proxy lists. One of the commonly used sources is https://www.sslproxies.org/. We can use the

Code:

requests

and

Code:

BeautifulSoup

libraries to scrape this site.Here’s an example of scraping proxies:

 python
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Code:

import requests from bs4 import BeautifulSoup def scrape_proxies(): url = "https://www.sslproxies.org/" response = requests.get(url) soup = BeautifulSoup(response.text, "html.parser") proxies = [] for row in soup.find("table", {"id": "proxylisttable"}).find_all("tr")[1:]: columns = row.find_all("td") if len(columns) > 1: ip = columns[0].text port = columns[1].text proxy = f"{ip}:{port}" proxies.append(proxy) return proxies

This function fetches the latest proxies from the specified site.
Step 4: Sending Proxies to TelegramNow, let’s write a function to send the scraped proxies to a Telegram user or channel using the python-telegram-bot library.

 python
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Code:

from telegram import Bot from telegram.ext import Updater, CommandHandler TOKEN = "YOUR_TELEGRAM_BOT_TOKEN" def start(update, context): update.message.reply_text("Hello! I will send you fresh proxies soon.") def send_proxies(update, context): proxies = scrape_proxies() for proxy in proxies[:10]: # Send the first 10 proxies update.message.reply_text(proxy) def main(): updater = Updater(token=TOKEN, use_context=True) dp = updater.dispatcher dp.add_handler(CommandHandler("start", start)) dp.add_handler(CommandHandler("getproxies", send_proxies)) updater.start_polling() updater.idle() if __name__ == "__main__": main()

Step-by-Step Breakdown:

1. scrape_proxies function: This scrapes proxies from a public proxy website using BeautifulSoup.
   
2. Telegram bot: The bot is initialized using the telegram.ext.Updater. It listens for commands like
   
   Code:

   /start
   and
   
   Code:

   /getproxies
   .
   
3. Sending proxies: When the
   
   Code:

   /getproxies
   command is invoked, the bot sends a list of proxies to the user.
   

Step 5: Running the BotNow, run the bot:

 bash
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Code:

python telegram_proxy_bot.py

The bot will start polling Telegram for commands. You can interact with it by typing

Code:

/start

or

Code:

/getproxies

in Telegram, and it will respond with fresh proxy lists.Enhancements

1. Add more proxy sources: Extend the bot to scrape multiple proxy websites to get a larger and more diverse proxy list.
   
2. Database support: Store the proxies in a database (e.g., SQLite, MongoDB) for better management and retrieval.
   
3. Automatic updates: Implement periodic scraping so that the bot sends new proxies at regular intervals without user intervention.
   

ConclusionThis Telegram Proxy Scraper Bot in Python is a simple yet powerful tool for gathering and distributing proxies. By automating the proxy scraping process, it helps users maintain their privacy and bypass restrictions effortlessly.
Now that you have a working bot, you can expand its functionality and integrate more features such as filtering proxies by location, checking proxy validity, or even rotating proxies for different tasks.

GODDDDDDDDDDDDDDD

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........................

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1. 80M+ Original Residential IPs;
   
2. 99.96% Uptime;
   
3. State, city-level targeting;
   
4. 190+ locations.
   

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For user who want to use python proxy can get a free trial from MoMoProxy.com

MoMoProxy - 80M+ (25M+ USA) SOCKS5 Residential Proxies From 190+ Countries.

1. 80M+ Original Residential IPs;
   
2. 99.96% Uptime;
   
3. State, city-level targeting;
   
4. 190+ locations.