Free Proxy USA Firefox
Stable Proxies:
IP address | Port | Country | Protocol | Verified |
---|---|---|---|---|
92.205.110.118 | 35153 | France | socks | 1 hour ago |
83.17.171.252 | 36099 | Poland | socks | 3 hours ago |
173.212.223.23 | 28083 | Germany | socks | 4 hours ago |
213.219.198.69 | 80 | Russian Federation | http | 15 hours ago |
81.19.137.61 | 80 | France | socks | 16 hours ago |
193.233.232.116 | 80 | Austria | socks | 16 hours ago |
172.104.143.136 | 80 | Germany | http | 18 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 | 2 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 | 4 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 | 6 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 | 2 weeks ago |
5.189.130.215 | 31224 | Germany | socks | 2 weeks ago |
45.81.232.17 | 54248 | Germany | socks | 2 weeks ago |
45.143.220.99 | 8118 | Netherlands | https | 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 Wayfair?
Wayfair is an online retailer that sells home goods and furniture. If you want to scrape data from Wayfair, there are a few steps you can follow:
1. Identify the specific data you want to scrape from Wayfair. This may include product names, prices, descriptions, or other details about the products.
2. Determine the specific products or categories on Wayfair 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.
3. Use a web scraping tool or software to extract the data from the Wayfair website. There are many tools available that can automate the process of scraping data from websites, such as Import.io, ParseHub, or Web Scraper.
4. Set up the scraping tool to visit the specific pages on Wayfair and extract the data you are interested in. You may need to use different scraping techniques or methods depending on the structure of the Wayfair website and the data you want to scrape.
5. 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 Wayfair. It is a good idea to carefully review the terms of service of any website before attempting to scrape data from it.
What is a Headless Browser?
A headless browser is a web browser that is designed to run without a graphical user interface (GUI). Instead of displaying a GUI on the user's computer, a headless browser communicates with web servers and renders web pages in a way that is similar to a regular web browser, but without the visual interface.
Headless browsers are often used for automated testing, web scraping, or other tasks that require a web browser's functionality, but do not require a user to interact with the browser directly. They are particularly useful for running automated tests or web scraping scripts, as they can be run in the background without requiring user input.
Some examples of headless browsers include:
PhantomJS
HtmlUnit
Zombie.js
Puppeteer
In summary, a headless browser is a web browser that is designed to run without a graphical user interface. It is often used for automated testing, web scraping, or other tasks that require a web browser's functionality, but do not require user input.
What is cron, and how does it work?
Cron is a Unix-based utility for scheduling tasks (also known as "cron jobs") to run automatically at specified intervals. It's commonly used for system administration tasks, such as running backups, sending emails, and updating databases.
Cron operates by reading a configuration file called the crontab, which lists the commands to be run and the schedule for when they should run. The schedule is defined using a series of fields that specify the minute, hour, day of the month, month, and day of the week when the command should run.
Here's an example of a crontab entry:
# ┌───────────── minute (0 - 59)
# │ ┌───────────── hour (0 - 23)
# │ │ ┌───────────── day of the month (1 - 31)
# │ │ │ ┌───────────── month (1 - 12)
# │ │ │ │ ┌───────────── day of the week (0 - 7) (Sunday to Saturday;
# │ │ │ │ │ 7 is also Sunday on some systems)
# │ │ │ │ │
# │ │ │ │ │
# * * * * * command to execute
0 0 * * 0 /usr/bin/backup.sh
In this example, the /usr/bin/backup.sh command will be executed every Sunday at midnight (0 minutes, 0 hours).
Cron runs in the background, checking the crontab at regular intervals to see if any commands need to be executed. When it's time to run a command, Cron starts a new process to execute it and logs the output of the command in a file called the syslog.
Overall, Cron is a powerful tool for automating repetitive tasks, and it's widely used on Unix-based systems, including Linux, macOS, and other Unix-like operating systems.
Java Web Scraping — How It Works?
Java is a popular programming language that can be used to scrape data from websites. The process of web scraping involves making HTTP requests to a website, extracting the HTML content of the page, and then parsing that content to extract the data you're interested in.
In Java, you can use a library like Jsoup or Apache HttpClient to make the HTTP requests and extract the HTML content. You can then use regular expressions, XPath, or other techniques to extract the data you're interested in.
For example, here's a simple example that uses Jsoup to scrape the title of a web page:
import org.jsoup.Jsoup;
import org.jsoup.nodes.Document;
public class Main {
public static void main(String[] args) throws Exception {
Document doc = Jsoup.connect("https://example.com").get();
System.out.println("Title: " + doc.title());
}
}
This code uses the connect method of the Jsoup class to make a GET request to the specified URL, and the get method to retrieve the HTML content of the page. The title method is then used to extract the title of the page, which is printed to the console.
Note that web scraping can be a complex process, and you should be careful when scraping data from websites. Some websites may have terms of use that prohibit or limit the use of web scraping, and you should make sure to respect these terms when scraping data. Additionally, websites can change their structure at any time, which can break your scraping code. It's always a good idea to check your scraping code regularly to make sure it's still working as expected.
Why Choose Proxy Over a VPN?
VPN routes all of your internet traffic through a VPN server. This can cause a slowdown in your internet speed and reduce the overall performance of your internet connection.
1. Cost: Proxies are typically less expensive than VPNs. You can purchase a proxy for a fraction of the cost of a VPN, making it a more budget-friendly option for many people.
2. Purpose: Proxies are designed specifically for web-based activities, such as web scraping, data extraction, and anonymous browsing, whereas VPNs are designed to provide a secure and encrypted connection for all of your internet traffic.
3. Location: Proxies allow you to change your IP address to a different location, allowing you to bypass geo-restrictions and access websites and online services that are not available in your country. VPNs also allow you to change your IP address, but often do not offer as many location options as proxies.
4. Customization: Proxies allow you to customize your web-based activities and online presence in a way that VPNs do not. For example, you can use a proxy to access multiple websites using different IP addresses, giving you a more personalized and customized online experience.
Ultimately, the choice between a proxy and a VPN depends on your specific needs and requirements. If you are looking for a fast, affordable, and customizable solution for web-based activities, a proxy might be a better option. If you are looking for a secure and encrypted connection for all of your internet traffic, a VPN might be a better choice.
New Reviews
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