HiLoad Free Web Proxy Zalmos

Stable Proxies:

USA USA
100 IP
25$
500 IP
69$
1 000 IP
99$
3 000 IP
249$
5 000 IP
399$
Europe Europe
500 IP
69$
1 000 IP
99$
3 000 IP
229$
5 000 IP
379$
10 000 IP
729$
IP address Port Country Protocol Verified
187.188.131.169 1080 Mexico socks 1 week ago
199.34.230.5 80 United States http 1 week ago
205.233.181.172 80 United States http 1 week ago
69.87.216.54 7989 United States http 1 week ago
199.34.229.179 80 United States http 1 week ago
199.34.229.241 80 United States http 1 week ago
199.34.229.249 80 United States http 1 week ago
199.34.229.211 80 United States http 1 week ago
177.247.249.5 3128 Mexico http 1 week ago
38.94.73.10 999 Mexico http 1 week ago
185.193.30.73 80 United Kingdom http 1 week ago
45.85.119.79 80 Romania http 1 week ago
185.193.30.67 80 United Kingdom http 1 week ago
185.193.29.166 80 United Kingdom http 1 week ago
194.36.55.215 80 United Kingdom http 1 week ago
185.193.28.122 80 United Kingdom http 1 week ago
185.193.28.51 80 United Kingdom http 1 week ago
194.36.55.116 80 United Kingdom http 1 week ago
185.193.29.214 80 United Kingdom http 1 week ago
185.148.107.183 80 Russian Federation http 1 week ago
185.176.26.215 80 Kazakstan http 1 week ago
185.176.26.44 80 Kazakstan http 1 week ago
185.176.26.36 80 Kazakstan http 1 week ago
185.176.26.142 80 Kazakstan http 1 week ago
185.176.26.206 80 Kazakstan http 1 week ago
185.176.26.122 80 Kazakstan http 1 week ago
45.67.215.43 80 Russian Federation http 1 week ago
5.10.247.14 80 Netherlands http 1 week ago
159.246.55.207 80 United States http 1 week ago
194.36.55.40 80 United Kingdom http 1 week ago
181.214.1.95 80 United Arab Emirates http 1 week ago
205.233.181.12 80 United States http 1 week ago
158.179.58.126 3128 Germany http 1 week ago
38.209.126.166 10001 United States https 1 week ago
199.34.230.1 80 United States http 1 week ago
103.169.142.11 80 Australia http 1 week ago
45.131.208.199 80 Netherlands http 1 week ago
181.214.1.86 80 United Arab Emirates http 1 week ago
185.148.104.18 80 Russian Federation http 1 week ago
103.169.142.108 80 Australia http 1 week ago
5.10.246.204 80 Netherlands http 1 week ago
194.152.44.75 80 Netherlands http 1 week ago
212.183.88.217 80 Austria http 1 week ago
147.185.161.48 80 United States http 1 week ago
185.193.30.187 80 United Kingdom http 1 week ago
216.205.52.181 80 United States http 1 week ago
216.24.57.69 80 United States http 1 week ago
185.170.166.210 80 United Kingdom http 1 week ago
103.169.142.118 80 Australia http 1 week ago
141.148.8.171 1080 United States socks 1 week ago
103.169.142.161 80 Australia http 1 week ago
199.7.149.96 3128 United States http 1 week ago
103.169.142.106 80 Australia http 1 week ago
45.66.249.187 8181 United States http 1 week ago
45.66.249.187 3128 United States http 1 week ago
103.169.142.165 80 Australia http 1 week ago
45.80.111.106 80 Germany http 1 week ago
45.131.208.126 80 Netherlands http 1 week ago
91.193.59.188 80 United Kingdom http 1 week ago
206.238.236.6 80 Singapore http 1 week ago
103.169.142.105 80 Australia http 1 week ago
5.10.245.120 80 Netherlands http 1 week ago
103.169.142.160 80 Australia http 1 week ago
5.10.244.153 80 Netherlands http 1 week ago
185.148.107.238 80 Russian Federation http 1 week ago
103.169.142.156 80 Australia http 1 week ago
103.169.142.133 80 Australia http 1 week ago
170.114.45.254 80 United States http 1 week ago
216.24.57.60 80 United States http 1 week ago
212.183.88.247 80 Austria http 1 week ago
31.12.75.212 80 Russian Federation http 1 week ago
5.10.246.116 80 Netherlands http 1 week ago
45.80.111.110 80 Germany http 1 week ago
103.169.142.44 80 Australia http 1 week ago
159.246.55.163 80 United States http 1 week ago
188.42.89.199 80 Luxembourg http 1 week ago
45.8.211.254 80 Russian Federation http 1 week ago
185.148.106.26 80 Russian Federation http 1 week ago
5.10.247.157 80 Netherlands http 1 week ago
45.131.208.155 80 Netherlands http 1 week ago
103.169.142.143 80 Australia http 1 week ago
45.85.118.249 80 Romania http 1 week ago
206.238.237.229 80 Singapore http 1 week ago
212.183.88.234 80 Austria http 1 week ago
160.153.1.101 80 United States http 1 week ago
185.148.107.168 80 Russian Federation http 1 week ago
103.169.142.113 80 Australia http 1 week ago
103.169.142.179 80 Australia http 1 week ago
66.81.247.208 80 United States http 1 week ago
206.238.237.190 80 Singapore http 1 week ago
45.32.160.61 1088 United States socks 1 week ago
45.80.111.0 80 Germany http 2 weeks ago
154.194.12.130 80 Seychelles http 2 weeks ago
45.85.118.39 80 Romania http 2 weeks ago
185.148.107.95 80 Russian Federation http 2 weeks ago
206.238.236.147 80 Singapore http 2 weeks ago
5.10.246.211 80 Netherlands http 2 weeks ago
194.36.55.230 80 United Kingdom http 2 weeks ago
160.123.255.13 80 South Africa http 2 weeks ago
45.85.118.161 80 Romania http 2 weeks ago

Fast and stable proxies

Russia Russia
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
249$
5 000 IP
399$
USA USA
100 IP
25$
500 IP
69$
1 000 IP
99$
3 000 IP
249$
5 000 IP
399$
Great Britain Great Britain
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
249$
5 000 IP
399$
Germany Germany
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
249$
5 000 IP
499$
Europe Europe
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
229$
5 000 IP
379$
China China
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
249$
5 000 IP
Sold out
Ukraine Ukraine
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
Australia Australia
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
Canada Canada
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
Netherlands Netherlands
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
France France
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
Turkey Turkey
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
India India
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
Poland Poland
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
Spain Spain
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
Mix of countriesMix of countries
1 000 IP
99$
3 000 IP
229$
5 000 IP
379$
10 000 IP
729$
15 000 IP
1049$
We have proxy lists for almost every need, the list is updated every 60 minutes. We analyze proxy every minute, look for speed matching IPs and add them to our database. You can see the result in the table above. Use our proxies and regularly check for updates on our website.

FAQ

    What is a good free proxy?

    It is generally not recommended to use a free proxy, as they may not be reliable or secure. Free proxy servers may not provide adequate security or privacy, and they may be run by malicious parties who could potentially compromise your security.

    If you do decide to use a free proxy, it is important to carefully research the service and choose a reputable one. Some popular free proxies include Hidester, Hide.me, and Kproxy. However, keep in mind that these services may not be completely secure or reliable, and it is important to be aware of the potential risks and limitations of using a free proxy.

    It is generally a good idea to use a proxy in conjunction with other security measures, such as a virtual private network (VPN), to increase your anonymity and protect your online privacy.

    How to scrape data from Scopus Journal?

    Scopus is a database of academic journals, articles, and conference proceedings. If you want to scrape data from Scopus, there are a few steps you can follow:

    1. Identify the specific data you want to scrape from Scopus. This may include article titles, authors, abstracts, or other details about the articles.
    2. Determine the specific articles or journals on Scopus 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 Scopus 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 Scopus and extract the data you are interested in. You may need to use different scraping techniques or methods depending on the structure of the Scopus 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 Scopus. It is a good idea to carefully review the terms of service of any website before attempting to scrape data from it.

    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.

    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.

    What is a YouTube comment scraper?

    A YouTube comment scraper is a tool or software that is used to extract comments from YouTube videos. This can be used to gather insights into public opinion, conduct sentiment analysis, or analyze the content and context of comments for various purposes. The scraper can extract information such as the comment text, the username of the person who made the comment, the time the comment was made, and any other relevant data. This data can then be analyzed or processed in various ways to gain insights or perform specific tasks.

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