X-Videos Free Proxy
Stable Proxies:
IP address | Port | Country | Protocol | Verified |
---|---|---|---|---|
172.64.165.79 | 80 | United States | http | 2 hours ago |
172.67.72.188 | 80 | United States | http | 8 hours ago |
194.26.229.46 | 20002 | Russian Federation | socks | 1 day ago |
194.26.229.46 | 20009 | Russian Federation | socks | 1 day ago |
161.123.116.54 | 22332 | Canada | http | 1 day ago |
37.186.66.36 | 3629 | Armenia | socks | 1 day ago |
85.21.233.231 | 1337 | Russian Federation | socks | 2 day ago |
172.67.160.84 | 80 | United States | http | 2 day ago |
172.67.165.174 | 80 | United States | http | 2 day ago |
172.66.0.96 | 80 | United States | http | 2 day ago |
91.107.143.161 | 3128 | Germany | http | 2 day ago |
91.201.119.198 | 1337 | Russian Federation | socks | 2 day ago |
89.133.137.45 | 4145 | Hungary | socks | 2 day ago |
77.68.77.181 | 80 | United Kingdom | http | 3 day ago |
92.205.110.118 | 35153 | France | socks | 3 day ago |
83.17.171.252 | 36099 | Poland | socks | 3 day ago |
173.212.223.23 | 28083 | Germany | socks | 3 day ago |
213.219.198.69 | 80 | Russian Federation | http | 3 day ago |
81.19.137.61 | 80 | France | socks | 3 day ago |
193.233.232.116 | 80 | Austria | socks | 3 day ago |
172.104.143.136 | 80 | Germany | http | 3 day ago |
78.30.191.213 | 8080 | Serbia | http | 4 day ago |
109.202.160.2 | 8888 | Russian Federation | http | 4 day ago |
13.51.234.32 | 8096 | Sweden | http | 4 day ago |
172.64.154.143 | 80 | United States | http | 5 days ago |
62.109.0.18 | 24101 | Russian Federation | socks | 5 days ago |
65.21.159.49 | 80 | Finland | http | 5 days ago |
77.232.128.191 | 80 | Russian Federation | http | 5 days ago |
46.105.44.110 | 80 | France | http | 5 days ago |
152.53.3.82 | 7891 | Austria | socks | 5 days ago |
152.53.3.82 | 7890 | Austria | https | 5 days ago |
172.64.144.179 | 80 | Netherlands | http | 5 days ago |
213.21.59.134 | 4153 | Russian Federation | socks | 6 days ago |
95.220.110.1 | 80 | Russian Federation | socks | 6 days ago |
93.177.67.178 | 80 | Germany | http | 6 days ago |
93.171.103.125 | 8080 | Russian Federation | http | 6 days 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 | 1 week ago |
103.130.145.169 | 80 | Turkey | http | 1 week ago |
79.174.12.190 | 80 | Russian Federation | http | 1 week ago |
41.65.236.53 | 1976 | Egypt | http | 1 week ago |
172.64.145.223 | 80 | United States | http | 1 week ago |
91.148.127.60 | 8080 | Serbia | http | 1 week ago |
178.254.42.248 | 80 | Germany | http | 1 week ago |
172.67.182.221 | 80 | United States | http | 1 week ago |
172.67.68.245 | 80 | Netherlands | http | 1 week ago |
172.64.194.218 | 80 | United States | http | 1 week ago |
45.81.232.17 | 8191 | Germany | socks | 1 week ago |
66.235.200.122 | 80 | United States | http | 1 week ago |
172.67.163.136 | 80 | United States | http | 1 week ago |
77.221.136.210 | 80 | Sweden | http | 1 week 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 | 2 weeks ago |
213.91.232.94 | 8080 | Bulgaria | http | 2 weeks ago |
109.197.153.25 | 8888 | Russian Federation | http | 2 weeks ago |
178.48.68.61 | 18080 | Hungary | http | 2 weeks ago |
88.198.82.189 | 3128 | Germany | https | 2 weeks ago |
51.75.126.150 | 50677 | France | socks | 2 weeks ago |
185.221.160.17 | 80 | Russian Federation | http | 2 weeks ago |
89.179.112.252 | 5678 | Russian Federation | socks | 2 weeks ago |
51.75.126.150 | 48751 | France | 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 is user agent?
A user agent is a string of text that is sent by a web browser to a web server along with each request for a web page. The user agent identifies the browser and operating system to the server, and can also provide information about the device being used to access the web page. This information is used by the server to tailor the content and formatting of the web page to be appropriate for the device being used to access it. User agents can also be used to identify web crawlers and other automated programs that are accessing a website, as well as to track the use of different browsers and devices by website visitors.
Why you need to scrape data from Twitter? Is it Legal?
There are a few reasons why you might need to scrape data from Twitter:
1. Research: You might need to scrape data from Twitter for research purposes, such as analyzing trends or patterns in social media conversations.
2. Marketing: You might use Twitter data scraping to gather information about potential customers or to monitor brand mentions.
3. News gathering: Journalists and media organizations might use Twitter data scraping to gather news stories or to monitor breaking news events.
4. Sentiment analysis: You might use Twitter data scraping to perform sentiment analysis, which involves analyzing the sentiment (positive, negative, or neutral) of tweets or other social media posts.
As for whether it is legal to scrape data from Twitter, it depends on how you use the data and whether you follow the terms of service of the platform. In general, it is not illegal to scrape publicly available data from the internet, as long as you are not using it for malicious purposes or violating the terms of service of the platform. However, it is always a good idea to check the terms of service of the platform before scraping data to ensure that you are not violating any rules.
In summary, you might need to scrape data from Twitter for a variety of reasons, such as research, marketing, news gathering, or sentiment analysis. Whether it is legal to scrape data from Twitter depends on how you use the data and whether you follow the platform's terms of service.
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.
What’s The Difference Between IPV4 and IPV6?
IPv4 (Internet Protocol version 4) and IPv6 (Internet Protocol version 6) are the two versions of IP that are widely used for communication over the internet. The main difference between the two is the size of their address space.
1. Address Space: IPv4 uses 32-bit addresses, which allows for a total of 4.3 billion unique addresses. IPv6, on the other hand, uses 128-bit addresses, which provides for an almost limitless number of unique addresses.
2. Address Format: IPv4 addresses are represented as four sets of numbers separated by periods, for example, 192.168.1.1. IPv6 addresses are represented as eight sets of numbers separated by colons, for example, 2001:0db8:85a3:0000:0000:8a2e:0370:7334.
3. Header Structure: The header structure of IPv4 and IPv6 packets is different, with IPv6 having a more simplified header structure and additional features, such as a larger payload and improved support for options and extensions.
4. Security: IPv6 provides built-in support for IPsec, a protocol for secure communication over the internet, whereas in IPv4, IPsec must be implemented at a higher layer.
5. Deployment: IPv4 is still the most widely used version of IP, but IPv6 is slowly being adopted as the depletion of IPv4 addresses has created a need for a larger address space.
In conclusion, the main difference between IPv4 and IPv6 is the size of their address space and the structure of their addresses. While IPv4 is still the most widely used version of IP, IPv6 is becoming more important as the number of internet-connected devices continues to grow.
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