Free proxy Zenmate
Stable Proxies:
IP address | Port | Country | Protocol | Verified |
---|---|---|---|---|
185.109.184.150 | 59068 | Italy | socks | 6 hours ago |
46.141.70.10 | 1080 | Italy | socks | 8 hours ago |
94.28.48.51 | 3629 | Russian Federation | socks | 22 hours 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 does Canvas Fingerprinting work?
Canvas fingerprinting works by using the HTML5 canvas element of a web browser to generate a unique "fingerprint" for a user's device. The canvas element is a standard feature of modern web browsers that allows developers to draw graphics, text, or other visual elements onto a web page using JavaScript.
To generate a canvas fingerprint, a website or tracking script will typically create a hidden canvas element on the page, and then use JavaScript to render an image or text onto the canvas. The image or text may be randomly generated, or it may be a known pattern that is used to create a unique identifier for the user's device.
After the image or text has been rendered onto the canvas, the tracking script will collect data about the resulting image, such as the rendering time, pixel data, or text rendering characteristics. This data is then used to create a unique identifier that can be used to track the user's device across websites.
The fingerprint is created by combining the collected data with other information about the user's device, such as the user agent string or screen resolution. This creates a unique identifier that can be used to identify the user's device even if the user clears their cookies or uses multiple browsers or devices.
Canvas fingerprinting is a relatively new tracking technique, and it has been criticized for being difficult for users to detect or block. It can be used for a variety of purposes, such as tracking user behavior, profiling users for targeted advertising, or bypassing cookie-based tracking methods.
What are datacenter proxies and when you should use them?
Datacenter proxies are proxy servers that are hosted in a data center. They are often used to hide the IP address of the user and to bypass internet restrictions, such as blocking or filtering of websites.
Datacenter proxies are typically faster and more stable than residential proxies, as they are hosted on powerful servers with high-bandwidth connections. They are also generally less expensive than residential proxies. However, they are generally less anonymous than residential proxies, as they do not use real IP addresses and may be detected as being a proxy by some websites.
Datacenter proxies are commonly used for tasks such as web scraping, online marketing, and search engine optimization (SEO). They are also often used to bypass geolocation restrictions and to access blocked websites or content.
In summary, datacenter proxies are proxy servers that are hosted in a data center. They are typically faster and more stable than residential proxies, but are generally less anonymous. They are commonly used for tasks such as web scraping, online marketing, and SEO, and are also often used to bypass geolocation restrictions and access blocked websites or content.
How to Make Use of the Instagram Followers and Following Lists?
There are various ways you can make use of the Instagram followers and following lists that you scrape. Here are a few examples:
1. Marketing and advertising: You can use the followers and following lists to target specific demographics or interests to advertise your products or services.
2. Competitor analysis: You can use the followers and following lists to gather information about your competitors and their strategies, as well as to identify potential customers and collaborators.
3. Influencer marketing: You can use the followers and following lists to identify influencers in your niche and reach out to them to collaborate or run sponsored posts.
4. Data analysis: You can use the followers and following lists to gain insights into user behavior, preferences, and patterns, which can be useful for market research, trend analysis, and other data-driven applications.
Keep in mind that scraping data from social media platforms like Instagram is a sensitive matter and may be subject to specific terms of service and privacy policies. It's important to respect the rights of the users and be transparent about your data collection practices.
What are ISP proxies?
ISP proxies are proxies that are provided by an Internet Service Provider (ISP) to its customers. These proxies are used to improve network performance, provide added security, and offer additional services such as content filtering and parental control.
ISP proxies are typically transparent proxies, meaning that the IP address of the proxy is visible to the destination server, and the server can see the original IP address of the client. This makes it possible for websites and services to track and block traffic from specific IP addresses, including those used by ISPs.
ISP proxies are often used by individuals and companies for basic web browsing and to access websites and services that may be restricted or blocked in their region. However, they are not typically suitable for web scraping or other forms of data extraction, as their use can be easily detected and blocked by websites and services.
In summary, ISP proxies are proxies provided by Internet Service Providers to their customers, used to improve network performance, provide security, and offer additional services such as content filtering and parental control. However, they are not typically suitable for web scraping or other forms of data extraction due to their limited capabilities and ease of detection.
How a transparent proxy works?
A transparent proxy is a type of proxy server that operates by intercepting requests from client devices and forwarding them to the desired destination on behalf of the client. The main difference between a transparent proxy and other types of proxies is that a transparent proxy does not hide the fact that a proxy is being used, and the client device's IP address is still visible to the destination server.
Here's how a transparent proxy works:
1. A client device sends a request to a web server.
2. The request passes through the transparent proxy, which intercepts the request and examines its contents.
3. The proxy server then forwards the request to the desired web server.
4. The web server responds to the request and the response is sent back through the transparent proxy to the client device.
The purpose of a transparent proxy is often to enforce network security policies or to improve network performance by caching frequently accessed content. The transparent proxy operates transparently, meaning that the client device is unaware that a proxy is being used and there is no need to configure the client device to use the proxy.
Note that while a transparent proxy can improve network performance and security, it can also introduce additional latency and potentially compromise privacy by allowing the proxy server to inspect and potentially modify requests and responses.
New Reviews
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