HiLoad Free Web Proxy Zalmos
Stable Proxies:
| 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 |
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 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.
New Reviews
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- Meng Huang
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- Boris Vorobev
I am thoroughly satisfied with the proxy service. There was only one instance where the proxies were down, but overall, the service is excellent. Although the residential proxies are a bit pricey, they are of high quality, making the cost justifiable.
- Jorge
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USA
Europe













China
Ukraine
Canada
France
Turkey
India
Poland
Spain
Mix of countries