Free Mtproto Proxy for Iran
Stable Proxies:
IP address | Port | Country | Protocol | Verified |
---|---|---|---|---|
83.17.171.252 | 36099 | Poland | socks | 1 hour ago |
173.212.223.23 | 28083 | Germany | socks | 2 hours ago |
213.219.198.69 | 80 | Russian Federation | http | 13 hours ago |
81.19.137.61 | 80 | France | socks | 14 hours ago |
193.233.232.116 | 80 | Austria | socks | 14 hours ago |
172.104.143.136 | 80 | Germany | http | 16 hours ago |
78.30.191.213 | 8080 | Serbia | http | 1 day ago |
109.202.160.2 | 8888 | Russian Federation | http | 1 day ago |
13.51.234.32 | 8096 | Sweden | http | 1 day ago |
172.64.154.143 | 80 | United States | http | 1 day ago |
62.109.0.18 | 24101 | Russian Federation | socks | 2 day ago |
65.21.159.49 | 80 | Finland | http | 2 day ago |
77.232.128.191 | 80 | Russian Federation | http | 2 day ago |
46.105.44.110 | 80 | France | http | 2 day ago |
152.53.3.82 | 7891 | Austria | socks | 2 day ago |
152.53.3.82 | 7890 | Austria | https | 2 day ago |
172.64.144.179 | 80 | Netherlands | http | 2 day ago |
213.21.59.134 | 4153 | Russian Federation | socks | 2 day ago |
95.220.110.1 | 80 | Russian Federation | socks | 3 day ago |
93.177.67.178 | 80 | Germany | http | 3 day ago |
93.171.103.125 | 8080 | Russian Federation | http | 3 day ago |
104.244.76.38 | 80 | Luxembourg | http | 3 day ago |
34.175.101.255 | 80 | Spain | http | 3 day ago |
91.65.102.12 | 80 | Germany | http | 4 day ago |
178.252.170.222 | 3128 | Iran | http | 4 day ago |
195.231.69.203 | 80 | Italy | http | 4 day ago |
172.67.75.35 | 80 | United States | http | 4 day ago |
172.67.128.150 | 80 | United States | http | 4 day ago |
172.66.40.144 | 80 | United States | http | 4 day ago |
172.64.145.59 | 80 | United States | http | 4 day ago |
172.67.165.123 | 80 | United States | http | 4 day ago |
172.67.162.240 | 80 | United States | http | 4 day ago |
79.121.102.227 | 8080 | Hungary | http | 4 day ago |
37.140.31.63 | 80 | Russian Federation | http | 4 day ago |
159.69.206.198 | 80 | Germany | http | 4 day ago |
185.146.173.59 | 80 | Sweden | http | 5 days ago |
103.130.145.169 | 80 | Turkey | http | 5 days ago |
79.174.12.190 | 80 | Russian Federation | http | 5 days ago |
41.65.236.53 | 1976 | Egypt | http | 5 days ago |
172.64.145.223 | 80 | United States | http | 5 days ago |
91.148.127.60 | 8080 | Serbia | http | 5 days ago |
178.254.42.248 | 80 | Germany | http | 5 days ago |
172.67.182.221 | 80 | United States | http | 5 days ago |
172.67.68.245 | 80 | Netherlands | http | 5 days ago |
172.64.194.218 | 80 | United States | http | 6 days ago |
45.81.232.17 | 8191 | Germany | socks | 6 days ago |
66.235.200.122 | 80 | United States | http | 6 days ago |
172.67.163.136 | 80 | United States | http | 6 days ago |
77.221.136.210 | 80 | Sweden | http | 6 days ago |
79.124.77.148 | 3128 | Bulgaria | http | 1 week ago |
176.10.111.23 | 80 | Switzerland | http | 1 week ago |
185.244.210.185 | 80 | France | http | 1 week ago |
95.110.227.85 | 3128 | Italy | http | 1 week ago |
147.45.104.252 | 80 | Russian Federation | http | 1 week ago |
206.189.12.206 | 80 | Netherlands | http | 1 week ago |
77.221.140.172 | 5556 | Sweden | socks | 1 week ago |
89.109.53.26 | 8123 | Russian Federation | http | 1 week ago |
217.160.99.39 | 80 | Germany | http | 1 week ago |
172.67.146.14 | 80 | United States | http | 1 week ago |
45.81.232.17 | 25306 | Germany | socks | 1 week ago |
91.228.186.61 | 80 | Turkey | http | 1 week ago |
45.81.232.17 | 22235 | Germany | socks | 1 week ago |
45.159.248.66 | 80 | United Kingdom | http | 1 week ago |
172.67.148.149 | 80 | United States | http | 1 week ago |
172.67.156.239 | 80 | United States | http | 1 week ago |
104.234.1.25 | 80 | Netherlands | http | 1 week ago |
91.107.142.189 | 80 | Germany | http | 1 week ago |
94.154.221.91 | 5678 | Ukraine | socks | 1 week ago |
46.164.227.196 | 1080 | Russian Federation | socks | 1 week ago |
45.81.232.17 | 63186 | Germany | socks | 1 week ago |
95.164.116.124 | 80 | Turkey | http | 1 week ago |
135.125.248.252 | 80 | Germany | http | 1 week ago |
88.198.161.3 | 80 | Germany | http | 1 week ago |
5.39.69.35 | 57486 | France | socks | 1 week ago |
185.105.118.72 | 80 | Finland | https | 1 week ago |
46.164.226.252 | 1080 | Russian Federation | socks | 1 week ago |
94.140.224.134 | 65056 | Russian Federation | https | 1 week ago |
213.91.232.94 | 8080 | Bulgaria | http | 1 week ago |
109.197.153.25 | 8888 | Russian Federation | http | 1 week ago |
178.48.68.61 | 18080 | Hungary | http | 1 week ago |
88.198.82.189 | 3128 | Germany | https | 1 week ago |
51.75.126.150 | 50677 | France | socks | 1 week ago |
185.221.160.17 | 80 | Russian Federation | http | 1 week ago |
89.179.112.252 | 5678 | Russian Federation | socks | 1 week ago |
51.75.126.150 | 48751 | France | socks | 1 week ago |
172.64.145.201 | 80 | United States | http | 1 week ago |
172.64.144.116 | 80 | United States | http | 1 week ago |
45.81.232.17 | 57668 | Germany | socks | 1 week ago |
45.81.232.17 | 37348 | Germany | socks | 1 week ago |
194.163.183.151 | 8899 | Germany | http | 1 week ago |
83.166.240.61 | 3031 | Russian Federation | https | 1 week ago |
45.81.232.17 | 25519 | Germany | socks | 1 week ago |
5.189.130.215 | 32293 | Germany | socks | 1 week ago |
5.189.130.215 | 32628 | Germany | socks | 1 week ago |
88.99.138.21 | 5801 | Germany | socks | 1 week ago |
45.153.230.46 | 80 | Germany | http | 1 week ago |
5.189.130.215 | 31224 | Germany | socks | 1 week ago |
45.81.232.17 | 54248 | Germany | socks | 2 weeks ago |
45.143.220.99 | 8118 | Netherlands | https | 2 weeks ago |
172.64.147.188 | 80 | United States | http | 2 weeks ago |
Fast and stable proxies
Russia |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
249$
|
5 000 IP
399$
|
USA |
100 IP
25$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
249$
|
5 000 IP
399$
|
Great Britain |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
249$
|
5 000 IP
399$
|
Germany |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
249$
|
5 000 IP
499$
|
Europe |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
229$
|
5 000 IP
379$
|
China |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
249$
|
5 000 IP
Sold out
|
Ukraine |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
Australia |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
Canada |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
Netherlands |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
France |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
Turkey |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
India |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
Poland |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
Spain |
100 IP
19$
|
500 IP
69$
|
1 000 IP
99$
|
3 000 IP
Sold out
|
5 000 IP
Sold out
|
Mix of countries |
1 000 IP
99$
|
3 000 IP
229$
|
5 000 IP
379$
|
10 000 IP
729$
|
15 000 IP
1049$
|
FAQ
What is ProxMate?
ProxMate is a browser extension that allows you to access websites and other internet resources that are restricted based on your location. It is available for the Chrome, Firefox, and Opera web browsers, and can be used to bypass internet censorship or access content that is only available in certain regions.
ProxMate works by redirecting part of your internet traffic through a proxy server, which changes your apparent location and allows you to access websites that are restricted to certain regions. It includes features such as:
Quick switch: ProxMate allows you to switch between different locations with a single click.
Automatic switching: ProxMate can be configured to automatically switch between locations based on the websites that you visit.
Custom locations: You can add and configure custom locations to access specific websites or IP addresses.
Anonymity level: ProxMate allows you to choose the level of anonymity that you want, from high anonymity (which hides your IP address and other identifying information) to transparent (which does not use a proxy).
In summary, ProxMate is a browser extension that allows you to access websites and other internet resources that are restricted based on your location. It is available for the Chrome, Firefox, and Opera web browsers, and includes features such as quick switch, automatic switching, custom locations, and anonymity level. It can be used to bypass internet censorship or access content that is only available in certain regions.
What actions can Selenium perform?
Selenium is a powerful tool for automating web browser interactions, and it can perform a wide variety of actions, including:
1. Navigating to a website: Selenium can load a website in a browser and navigate to different pages within the site.
2. Interacting with elements: Selenium can find elements on a web page (such as buttons, text boxes, links, etc.) and interact with them, for example by clicking a button, filling in a form, or submitting a form.
3. Extracting data: Selenium can extract data from a web page by accessing the DOM (Document Object Model) and retrieving the content of elements.
4. Manipulating the DOM: Selenium can modify the DOM by adding, removing, or changing elements, simulating actions like filling in forms, clicking buttons, etc.
5. Waiting for elements to load: Selenium can wait for specific elements on a web page to load before interacting with them.
6. Scrolling and mouse actions: Selenium can simulate mouse events like clicking, hovering, and scrolling, and it can perform keyboard events like typing text into a text box.
7. Capturing screenshots: Selenium can capture screenshots of a web page and save them to a file.
8. Automating tests: Selenium can automate end-to-end tests for web applications, making it possible to test the functionality of an entire application from the user's perspective.
Overall, Selenium provides a wide range of capabilities for automating web browser interactions and scraping data from websites, making it a valuable tool for developers and data scientists.
How to scrape YouTube comments with Python?
Scraping YouTube comments with Python can be done using the Python Requests library and BeautifulSoup library. These libraries allow you to send HTTP requests to websites and retrieve the HTML content of the pages. You can then parse the HTML content to extract the comments and other data from the page.
Here's an example of how to scrape YouTube comments with Python:
makefile
import requests
from bs4 import BeautifulSoup
# Make an HTTP request to the URL of the YouTube video
url = "https://www.youtube.com/watch?v=video_id"
response = requests.get(url)
# Parse the HTML content of the page
soup = BeautifulSoup(response.text, "html.parser")
# Find the comments section in the HTML
comments_section = soup.find("div", {"id": "comments"})
# Extract the comments from the HTML
comments = comments_section.find_all("div", {"class": "comment-text-content"})
# Iterate through the comments and print them
for comment in comments:
print(comment.text)
Please note that this example is just an illustration and may not work on all YouTube videos as the structure of the HTML may change. Also, it's important to respect the terms of service of websites you scrape, including YouTube, and only use their APIs or other methods approved by the website when scraping their data.
Types of CAPTCHA
There are several types of CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart), each with its own unique method of distinguishing between humans and automated scripts. Some of the most common types of CAPTCHAs include:
1. Text-based CAPTCHA: This type of CAPTCHA displays a series of distorted or scrambled letters and numbers that the user must correctly enter into a text field. This type of CAPTCHA is designed to be easy for humans to read but difficult for automated scripts to interpret.
2. Image-based CAPTCHA: This type of CAPTCHA displays a series of images, such as objects, animals, or street signs, and the user must select a specific image or group of images based on a prompt. This type of CAPTCHA is designed to be easy for humans to interpret but difficult for automated scripts.
3. Audio CAPTCHA: This type of CAPTCHA provides an audio recording of a series of letters, numbers, or words, and the user must correctly transcribe the audio into a text field. This type of CAPTCHA is designed for visually impaired users but can also be used as an alternative to text-based CAPTCHAs.
4. Mathematical CAPTCHA: This type of CAPTCHA presents the user with a simple arithmetic problem, such as "What is 3 + 4?" The user must correctly enter the answer into a text field.
5. reCAPTCHA: This is a CAPTCHA service provided by Google, designed to protect websites from spam and abuse. reCAPTCHA presents users with a challenge, such as image recognition, audio recognition, or a simple text-based challenge, and uses the user's interaction with the CAPTCHA to improve Google's machine learning algorithms.
Each type of CAPTCHA has its own strengths and weaknesses, and the best type of CAPTCHA for a particular website or service will depend on its specific needs and requirements.
What are the benefits of using parsing software?
Parsing software, also known as web scraping software, can extract data from websites and other sources, making it possible to automate data collection and analysis. The following are some of the benefits of using parsing software:
1. Time-saving: Parsing software can automate the process of data collection, saving significant amounts of time compared to manual data collection methods.
2. Increased efficiency: Parsing software can extract data from multiple sources and in large quantities, allowing for more efficient data collection and analysis.
3. Improved accuracy: Parsing software can extract data more accurately and consistently than manual methods, reducing the potential for human error.
4. Access to large amounts of data: Parsing software can extract large amounts of data from various sources, providing valuable insights and enabling data-driven decision making.
5. Cost-effective: Parsing software can be cost-effective, especially when compared to the costs of manual data collection and analysis methods.
In summary, parsing software can automate the process of data collection, increase efficiency and accuracy, provide access to large amounts of data, and be cost-effective. These benefits make parsing software a valuable tool for organizations looking to improve their data collection and analysis processes.
New Reviews
- Norman
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