SOAX free proxy
Stable Proxies:
IP address | Port | Country | Protocol | Verified |
---|---|---|---|---|
185.109.184.150 | 59068 | Italy | socks | 5 hours ago |
46.141.70.10 | 1080 | Italy | socks | 7 hours ago |
94.28.48.51 | 3629 | Russian Federation | socks | 21 hour ago |
31.49.121.0 | 80 | United Kingdom | http | 1 day ago |
88.202.230.103 | 7392 | United Kingdom | socks | 1 day ago |
94.23.220.136 | 56714 | France | socks | 2 day ago |
5.75.206.99 | 80 | Germany | http | 2 day ago |
95.111.227.164 | 53152 | Germany | socks | 2 day ago |
195.35.29.39 | 80 | Germany | http | 2 day ago |
134.209.67.109 | 8086 | United States | http | 2 day ago |
5.228.229.33 | 80 | Russian Federation | http | 2 day ago |
84.247.128.92 | 3128 | Germany | http | 2 day ago |
51.89.73.162 | 80 | United Kingdom | http | 2 day ago |
185.196.178.152 | 4145 | Austria | socks | 2 day ago |
5.180.45.235 | 80 | Cyprus | http | 2 day ago |
65.21.49.83 | 8080 | Finland | http | 2 day ago |
51.210.19.141 | 80 | France | http | 2 day ago |
155.133.57.22 | 4153 | Poland | socks | 3 day ago |
178.208.10.237 | 1080 | France | socks | 3 day ago |
82.65.220.152 | 80 | France | http | 3 day ago |
173.212.237.43 | 27004 | Germany | socks | 3 day ago |
91.235.69.164 | 8382 | Ukraine | http | 3 day ago |
91.202.25.154 | 9090 | Russian Federation | http | 3 day ago |
164.92.167.4 | 1194 | Germany | http | 3 day ago |
156.200.116.72 | 1976 | Egypt | http | 4 day ago |
130.180.208.145 | 80 | France | http | 4 day ago |
185.152.113.67 | 9999 | Slovakia | http | 5 days ago |
217.65.2.14 | 3333 | Russian Federation | http | 5 days ago |
194.26.229.46 | 20000 | Russian Federation | socks | 5 days ago |
172.64.165.79 | 80 | United States | http | 5 days ago |
172.67.72.188 | 80 | United States | http | 6 days ago |
194.26.229.46 | 20002 | Russian Federation | socks | 1 week ago |
194.26.229.46 | 20009 | Russian Federation | socks | 1 week ago |
161.123.116.54 | 22332 | Canada | http | 1 week ago |
37.186.66.36 | 3629 | Armenia | socks | 1 week ago |
85.21.233.231 | 1337 | Russian Federation | socks | 1 week ago |
172.67.160.84 | 80 | United States | http | 1 week ago |
172.67.165.174 | 80 | United States | http | 1 week ago |
172.66.0.96 | 80 | United States | http | 1 week ago |
91.107.143.161 | 3128 | Germany | http | 1 week ago |
91.201.119.198 | 1337 | Russian Federation | socks | 1 week ago |
89.133.137.45 | 4145 | Hungary | socks | 1 week ago |
77.68.77.181 | 80 | United Kingdom | http | 1 week ago |
92.205.110.118 | 35153 | France | socks | 1 week ago |
83.17.171.252 | 36099 | Poland | socks | 1 week ago |
173.212.223.23 | 28083 | Germany | socks | 1 week ago |
213.219.198.69 | 80 | Russian Federation | http | 1 week ago |
81.19.137.61 | 80 | France | socks | 1 week ago |
193.233.232.116 | 80 | Austria | socks | 1 week ago |
172.104.143.136 | 80 | Germany | http | 1 week ago |
78.30.191.213 | 8080 | Serbia | http | 1 week ago |
109.202.160.2 | 8888 | Russian Federation | http | 1 week ago |
13.51.234.32 | 8096 | Sweden | http | 1 week ago |
172.64.154.143 | 80 | United States | http | 1 week ago |
62.109.0.18 | 24101 | Russian Federation | socks | 1 week ago |
65.21.159.49 | 80 | Finland | http | 1 week ago |
77.232.128.191 | 80 | Russian Federation | http | 1 week ago |
46.105.44.110 | 80 | France | http | 1 week ago |
152.53.3.82 | 7891 | Austria | socks | 1 week ago |
152.53.3.82 | 7890 | Austria | https | 1 week ago |
172.64.144.179 | 80 | Netherlands | http | 1 week ago |
213.21.59.134 | 4153 | Russian Federation | socks | 1 week ago |
95.220.110.1 | 80 | Russian Federation | socks | 1 week ago |
93.177.67.178 | 80 | Germany | http | 1 week ago |
93.171.103.125 | 8080 | Russian Federation | http | 1 week ago |
104.244.76.38 | 80 | Luxembourg | http | 1 week ago |
34.175.101.255 | 80 | Spain | http | 1 week ago |
91.65.102.12 | 80 | Germany | http | 1 week ago |
178.252.170.222 | 3128 | Iran | http | 1 week ago |
195.231.69.203 | 80 | Italy | http | 1 week ago |
172.67.75.35 | 80 | United States | http | 1 week ago |
172.67.128.150 | 80 | United States | http | 1 week ago |
172.66.40.144 | 80 | United States | http | 1 week ago |
172.64.145.59 | 80 | United States | http | 1 week ago |
172.67.165.123 | 80 | United States | http | 1 week ago |
172.67.162.240 | 80 | United States | http | 1 week ago |
79.121.102.227 | 8080 | Hungary | http | 1 week ago |
37.140.31.63 | 80 | Russian Federation | http | 1 week ago |
159.69.206.198 | 80 | Germany | http | 1 week ago |
185.146.173.59 | 80 | Sweden | http | 2 weeks ago |
103.130.145.169 | 80 | Turkey | http | 2 weeks ago |
79.174.12.190 | 80 | Russian Federation | http | 2 weeks ago |
41.65.236.53 | 1976 | Egypt | http | 2 weeks ago |
172.64.145.223 | 80 | United States | http | 2 weeks ago |
91.148.127.60 | 8080 | Serbia | http | 2 weeks ago |
178.254.42.248 | 80 | Germany | http | 2 weeks ago |
172.67.182.221 | 80 | United States | http | 2 weeks ago |
172.67.68.245 | 80 | Netherlands | http | 2 weeks ago |
172.64.194.218 | 80 | United States | http | 2 weeks ago |
45.81.232.17 | 8191 | Germany | socks | 2 weeks ago |
66.235.200.122 | 80 | United States | http | 2 weeks ago |
172.67.163.136 | 80 | United States | http | 2 weeks ago |
77.221.136.210 | 80 | Sweden | http | 2 weeks ago |
79.124.77.148 | 3128 | Bulgaria | http | 2 weeks ago |
176.10.111.23 | 80 | Switzerland | http | 2 weeks ago |
185.244.210.185 | 80 | France | http | 2 weeks ago |
95.110.227.85 | 3128 | Italy | http | 2 weeks ago |
147.45.104.252 | 80 | Russian Federation | http | 2 weeks ago |
206.189.12.206 | 80 | Netherlands | http | 2 weeks ago |
77.221.140.172 | 5556 | Sweden | socks | 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
How to scrape data from Yell?
Yell is a business directory and online advertising platform that allows businesses to list their contact information and services. If you want to scrape data from Yell, there are a few steps you can follow:
Identify the specific data you want to scrape from Yell. This may include business contact information, reviews, ratings, or other data.
Determine the specific pages or listings on Yell that contain the data you want to scrape. You may need to use search filters or browse through multiple pages to find the relevant data.
Use a web scraping tool or software to extract the data from the Yell website. There are many tools available that can automate the process of scraping data from websites, such as Import.io, ParseHub, or Web Scraper.
Set up the scraping tool to visit the specific pages on Yell and extract the data you are interested in. You may need to use different scraping techniques or methods depending on the structure of the Yell website and the data you want to scrape.
Save the scraped data in a format that is convenient for you to use or analyze. This could be a spreadsheet, database, or other format.
It is important to be aware that web scraping may be against the terms of service of some websites, including Yell. It is a good idea to carefully review the terms of service of any website before attempting to scrape data from it.
About Selenium
Selenium is a suite of tools for automating web browsers. It allows you to write scripts in a variety of programming languages, such as Python, Java, C#, and more, that can interact with web pages and perform a wide range of tasks, such as filling out forms, clicking buttons, and verifying that certain content is present on a page. Selenium is commonly used for testing web applications, but it can also be used for web scraping, data mining, and other tasks that involve automating interactions with websites.
How to Pull Data From Any Website?
There are several ways to extract data from a website:
1. Web scraping: This is a technique used to extract data from websites using a web scraper or a web crawling tool. A web scraper sends HTTP requests to a website, receives HTML responses, and extracts the desired data from the HTML code. The data can be stored in a structured format, such as a CSV file or a database.
2. APIs: Some websites provide APIs that allow you to retrieve data directly from their servers. An API (Application Programming Interface) is a set of rules that dictate how two software programs should interact with each other. You can use an API to send a request to the website's server and receive data in a standardized format, such as JSON.
3. Downloading data: Some websites allow you to download data in a structured format, such as CSV or Excel. You can download the data directly from the website and then use programming tools to process it as needed.
Each of these methods has its own advantages and disadvantages, and the best method for pulling data from a website depends on the specific requirements of your project.
How to scrape Telegram group members?
Scraping Telegram group members can be accomplished programmatically using the Telegram Bot API. To do this, you'll need to create a bot account, obtain an API key, and use the API to extract information about the members of a Telegram group.
Here are the basic steps to scrape Telegram group members:
1. Create a bot account: To access the Telegram Bot API, you need to create a bot account and obtain an API key. You can do this by talking to the BotFather bot on Telegram and following the steps to create a new bot.
2. Get the group chat ID: In order to extract information about the members of a Telegram group, you need to know the chat ID of the group. You can obtain the chat ID by using the getUpdates method from the Telegram Bot API and looking at the response.
3. Use the Telegram Bot API to get group members: Once you have the chat ID, you can use the getChatMembersCount method from the Telegram Bot API to get the number of members in the group. You can then use the getChatMembers method to get information about each member, such as their user ID and username.
4. Extract the desired information: You can extract the desired information about the members, such as their username, user ID, and status, and store it in a data structure for later use.
Note that scraping Telegram group members may violate the terms of service of Telegram, so be sure to review their policies before proceeding. Additionally, you should be mindful of the rate limits imposed by the Telegram Bot API, as excessive usage can result in your API key being blocked.
What is a proxy error?
A proxy error is an error message that occurs when a user tries to access a web page or a website through a proxy server and the connection to the server fails. This can happen for a number of reasons, such as the proxy server being down, the server not being able to resolve the website's address, the proxy server not being able to authenticate the user, or the server's configuration being incorrect.
When a proxy error occurs, the user may see an error message in their web browser that indicates the problem. For example, the user might see a message like "Error 504: Gateway Timeout," which means that the proxy server did not receive a response from the website's server within a specified time limit. Other common error messages include "Error 500: Internal Server Error" and "Error 400: Bad Request."
In order to resolve a proxy error, the user or the administrator may need to troubleshoot the proxy server or the connection to the website, and determine the cause of the problem. This may involve checking the proxy server's logs, verifying the server's configuration, and testing the connection to the website.
New Reviews
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- Ramon
I recently purchased a proxy for search engine scraping, recommended by a colleague who frequently buys from this site. I use the proxies in various programs for parsing purposes, and they work well as they are rarely blocked by Yandex and Google. The prices are also very competitive when compared to others.
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I am extremely satisfied with this service. Not only are their prices and service straightforward, but their support is outstanding. I have contacted them multiple times as a programmer and they always go above and beyond to help me. I also purchased their yearly package, which is ending soon and I will definitely renew. I mostly use their rotating proxies for real-time data on the NASDAQ market and e-commerce.