Free proxy url
Stable Proxies:
IP address | Port | Country | Protocol | Verified |
---|---|---|---|---|
193.233.80.107 | 1181 | Germany | socks | 2 hours ago |
5.253.18.188 | 80 | Netherlands | http | 2 hours ago |
50.7.151.14 | 3306 | France | http | 5 hours ago |
47.89.184.18 | 3128 | United States | http | 5 hours ago |
213.136.79.107 | 3142 | Germany | https | 6 hours ago |
45.11.95.165 | 6048 | Russian Federation | https | 6 hours ago |
109.233.211.82 | 1080 | Russian Federation | socks | 14 hours ago |
185.25.116.86 | 31288 | Ukraine | http | 14 hours ago |
216.24.57.6 | 80 | United States | http | 20 hours ago |
45.8.211.9 | 80 | Russian Federation | http | 23 hours ago |
65.21.24.81 | 80 | Finland | http | 23 hours ago |
178.250.189.192 | 8118 | Germany | http | 23 hours ago |
88.99.138.21 | 5657 | Germany | socks | 1 day ago |
82.146.45.136 | 3128 | Russian Federation | http | 1 day ago |
179.43.182.73 | 1080 | Switzerland | socks | 1 day ago |
188.34.179.101 | 80 | Germany | http | 1 day ago |
31.207.36.34 | 80 | http | 1 day ago | |
172.67.212.189 | 80 | United States | http | 1 day ago |
212.64.193.117 | 80 | Turkey | http | 1 day ago |
45.133.107.238 | 81 | Armenia | http | 1 day ago |
88.99.138.21 | 5848 | Germany | socks | 1 day ago |
91.151.90.239 | 80 | Turkey | http | 1 day ago |
51.195.40.90 | 80 | France | http | 1 day ago |
91.92.155.207 | 1080 | Switzerland | socks | 2 day ago |
38.180.36.19 | 80 | Kazakstan | http | 2 day ago |
94.23.19.184 | 2912 | France | https | 2 day ago |
45.81.232.17 | 27308 | Germany | socks | 2 day ago |
185.162.60.6 | 8080 | http | 2 day ago | |
138.201.182.222 | 80 | Germany | http | 2 day ago |
5.35.92.156 | 80 | Russian Federation | http | 2 day ago |
92.118.170.236 | 3128 | Russian Federation | http | 2 day ago |
45.81.232.17 | 41792 | Germany | socks | 3 day ago |
45.81.232.17 | 23363 | Germany | socks | 3 day ago |
91.226.14.136 | 5678 | Russian Federation | socks | 3 day ago |
78.135.87.95 | 80 | Turkey | http | 3 day ago |
5.255.97.208 | 80 | Netherlands | http | 3 day ago |
88.99.91.117 | 80 | Germany | http | 3 day ago |
212.107.12.77 | 80 | Netherlands | http | 3 day ago |
2.35.9.104 | 80 | Italy | http | 3 day ago |
185.49.31.205 | 8080 | Poland | http | 3 day ago |
37.27.32.80 | 80 | Finland | http | 3 day ago |
45.11.95.166 | 6002 | Russian Federation | https | 3 day ago |
5.75.192.13 | 80 | Germany | http | 3 day ago |
51.89.14.70 | 80 | United Kingdom | http | 3 day ago |
65.109.203.176 | 80 | Finland | http | 3 day ago |
5.75.200.38 | 80 | Germany | http | 3 day ago |
49.13.161.231 | 80 | Germany | http | 3 day ago |
45.87.43.152 | 80 | Netherlands | http | 3 day ago |
31.43.158.108 | 8888 | http | 3 day ago | |
51.254.78.223 | 80 | France | http | 3 day ago |
163.172.4.109 | 8080 | France | https | 4 day ago |
172.67.201.37 | 80 | United States | http | 4 day ago |
46.232.248.164 | 80 | Germany | http | 4 day ago |
65.109.163.154 | 80 | Finland | http | 4 day ago |
185.78.76.190 | 1080 | Germany | socks | 4 day ago |
176.211.64.211 | 1080 | Russian Federation | socks | 4 day ago |
89.37.219.212 | 8080 | Iran | http | 4 day ago |
45.81.232.17 | 34447 | Germany | socks | 4 day ago |
45.81.232.17 | 53288 | Germany | socks | 4 day ago |
5.188.66.181 | 8088 | Kazakstan | socks | 4 day ago |
170.114.46.8 | 80 | United States | http | 5 days ago |
88.99.138.21 | 5083 | Germany | socks | 5 days ago |
144.91.84.92 | 7891 | Germany | socks | 5 days ago |
144.91.84.92 | 7890 | Germany | https | 5 days ago |
185.17.3.24 | 7777 | Russian Federation | socks | 5 days ago |
212.108.155.205 | 9090 | Cyprus | http | 5 days ago |
88.212.48.11 | 4444 | Slovakia | http | 5 days ago |
170.114.45.8 | 80 | United States | http | 5 days ago |
185.18.198.163 | 62753 | Spain | socks | 5 days ago |
109.72.232.217 | 8080 | Russian Federation | http | 5 days ago |
194.31.64.44 | 80 | Turkey | http | 5 days ago |
172.67.136.242 | 80 | United States | http | 5 days ago |
172.67.205.138 | 80 | United States | http | 5 days ago |
172.67.74.57 | 80 | United States | http | 5 days ago |
172.67.30.148 | 80 | United States | http | 5 days ago |
78.47.35.35 | 3312 | Germany | https | 5 days ago |
194.32.231.190 | 57775 | Russian Federation | socks | 6 days ago |
89.35.73.129 | 3131 | Germany | http | 6 days ago |
65.109.211.101 | 3128 | Finland | http | 6 days ago |
45.81.232.17 | 24803 | Germany | socks | 6 days ago |
194.182.187.78 | 1080 | Austria | socks | 6 days ago |
45.81.232.17 | 17639 | Germany | socks | 6 days ago |
37.1.199.18 | 80 | Germany | http | 6 days ago |
5.135.83.214 | 80 | France | http | 1 week ago |
173.212.205.225 | 3186 | Germany | http | 1 week ago |
45.11.95.165 | 6045 | Russian Federation | http | 1 week ago |
207.180.198.241 | 37443 | Germany | socks | 1 week ago |
92.205.110.47 | 50709 | France | socks | 1 week ago |
45.81.232.17 | 27855 | Germany | socks | 1 week ago |
213.136.75.85 | 59058 | Germany | socks | 1 week ago |
195.85.23.30 | 80 | Czech Republic | http | 1 week ago |
90.188.255.237 | 3128 | Russian Federation | http | 1 week ago |
195.85.23.226 | 80 | Czech Republic | http | 1 week ago |
45.11.95.165 | 6049 | Russian Federation | http | 1 week ago |
89.218.8.152 | 3128 | Kazakstan | https | 1 week ago |
45.133.107.246 | 81 | Armenia | http | 1 week ago |
45.133.107.10 | 81 | Armenia | http | 1 week ago |
45.133.107.64 | 81 | Armenia | http | 1 week ago |
185.212.60.62 | 80 | Netherlands | http | 1 week ago |
93.171.220.229 | 8888 | Turkmenistan | http | 1 week 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 are HTTP proxies?
HTTP (Hypertext Transfer Protocol) proxies are proxy servers that handle HTTP traffic and forward it to the destination server. HTTP is the primary protocol used to transfer data on the World Wide Web, and HTTP proxies are commonly used to facilitate communication between clients and servers.
HTTP proxies can be used to facilitate secure communication, hide the client's IP address, or bypass network restrictions. They can be used with a variety of web-based applications and services, including web browsers, download managers, and API clients.
HTTP proxies work by establishing a connection between the client and the proxy server, and then forwarding the client's HTTP requests to the destination server. The proxy server establishes a separate connection with the destination server and passes the client's requests through this connection.
There are many HTTP proxy services available, and it is important to carefully research and compare different options to choose the one that is best suited to your needs. Some factors to consider when choosing an HTTP proxy include speed, reliability, location, security, and compatibility with your applications and services.
What Is Fetch in Node.js?
fetch is an API in Node.js that allows you to make HTTP requests. It provides a simple and efficient way to make requests and retrieve data from web servers, APIs, and other web resources.
fetch is similar to the XMLHttpRequest API, but it is easier to use and provides a more modern API for making network requests. Unlike XMLHttpRequest, which requires a lot of code to set up and handle responses, fetch can be used with just a few lines of code.
Here's an example of using fetch to make a simple GET request in Node.js:
fetch('https://example.com/api/data')
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error(error));
In this example, the fetch function is used to make a GET request to the URL https://example.com/api/data. The response from the server is then converted to JSON using the json method and logged to the console. If there is an error during the request, it will be caught and logged to the console using the catch method.
The fetch API is supported in modern browsers and can also be used in Node.js using a polyfill library like node-fetch.
What Is Wget?
Wget is a free, open-source command-line utility for downloading files from the Internet. It can retrieve files using either HTTP or FTP protocols, and it supports various features such as download resume, recursive download of entire websites, and much more. The name "Wget" is short for "World Wide Web get." Wget is widely used for downloading files and websites, and it is particularly popular among system administrators, web developers, and other technical users who need to automate download tasks. It runs on a variety of platforms, including Linux, Windows, and macOS.
Structured vs. unstructured data
Structured and unstructured data refer to the way that data is organized and stored.
Structured data is organized in a well-defined format, such as a database table, CSV file, or spreadsheet. It typically consists of rows and columns, with each column representing a specific type of information and each row representing a single record. Structured data is easy to search, sort, and analyze because it has a clear structure and is easily accessible by software applications.
Unstructured data, on the other hand, has no specific structure or format. It can take the form of images, audio files, videos, text documents, emails, or any other type of digital content that cannot be easily organized into a structured format. Unstructured data is often difficult to manage, process, and analyze because it does not have a clear structure or organization.
In practice, many data sets contain a mix of structured and unstructured data. For example, a database may store structured data about customer orders, while also storing unstructured data such as customer feedback in the form of text documents or email messages.
New Reviews
- Fabio Martinazzo
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