Free High Anonymous HTTP Proxy
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
How to scrape data from Whois?
Whois is a database that stores information about domain names and their owners. If you want to scrape data from Whois, there are a few steps you can follow:
1. Identify the specific data you want to scrape from Whois. This may include the owner's name, contact information, or other details about the domain name.
2. Determine the specific domain names that you want to scrape data for. You may need to use search filters or browse through multiple pages to find the relevant domain names.
3. Use a web scraping tool or software to extract the data from the Whois database. 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 Whois database and extract the data you are interested in. You may need to use different scraping techniques or methods depending on the structure of the Whois database 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 Whois. It is a good idea to carefully review the terms of service of any website before attempting to scrape data from it.
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.
Can Excel Pull Data From a Website?
Yes, you can use Microsoft Excel to extract data from a website. This can be done by using the "Web Query" feature in Excel. With the Web Query feature, you can import data from a web page into an Excel worksheet, which can be updated whenever the data on the web page changes. To use the Web Query feature, follow these steps:
Open Microsoft Excel and go to the "Data" tab in the ribbon.
In the "Get & Transform Data" section, click "From Web".
In the "New Web Query" dialog box, enter the URL of the web page you want to extract data from and click "Go".
Excel will retrieve the data and display it in a table format. You can then select the data you want to import and click the "Import" button.
Note that some websites may have security measures in place that prevent the extraction of data. If this is the case, you may not be able to extract data from that website using this method.
The difference between dedicated datacenter and shared residential proxies
Dedicated datacenter proxies and shared residential proxies are two different types of proxy services with distinct characteristics.
Dedicated datacenter proxies are server-based proxies that are owned and managed by data centers. They are typically faster and more stable than residential proxies, but also more easily detected as proxies. Dedicated datacenter proxies are often used for web scraping and data extraction, where speed and reliability are critical.
Shared residential proxies, on the other hand, are IP addresses provided by internet service providers to their customers. They are typically less expensive and less stable than dedicated datacenter proxies, but also more difficult to detect as proxies because they look like normal residential IP addresses. Shared residential proxies are often used for tasks that require a high level of anonymity, such as bypassing geo-restrictions, scraping websites, and carrying out SEO tasks.
The choice between dedicated datacenter and shared residential proxies will depend on the specific requirements of the task and the level of speed, reliability, and anonymity required.
Why businesses use transparent proxies?
Businesses use transparent proxies for several reasons, including:
1. Network security: Transparent proxies can be used to enforce network security policies by blocking access to known malicious websites or by filtering out unwanted content, such as inappropriate material or malware.
2. Content caching: Transparent proxies can be used to cache frequently accessed content, reducing the amount of bandwidth used by clients and speeding up the delivery of content.
3. Monitoring and reporting: Transparent proxies can be used to monitor and report on network activity, providing valuable insights into the usage patterns of client devices and the types of content being accessed.
4. Compliance with regulations: Some businesses may use transparent proxies to comply with regulations, such as filtering out content that is illegal or restricted by government censorship laws.
5. Parental controls: Transparent proxies can also be used to implement parental controls, allowing businesses to restrict access to inappropriate content for children or other users.
Overall, businesses use transparent proxies to improve network security, performance, and compliance, and to gain greater visibility and control over their network usage.
New Reviews
- Sebastian
I unintentionally failed to cancel my subscription, but reached out to the company via email. Within just a few minutes, I received a response confirming they were processing a refund for me. This company offers fantastic customer service and is overall a great company.
- Stuart Martel
Honestly, this is the best residential proxy supplier I've discovered so far. It operates smoothly without any disruptions.
- Niels Forsberg
The proxy service was great and I had a positive experience. The proxies functioned efficiently and I was able to successfully complete all my tasks with their use.
- Dylan Green
I have been using share proxies for over a month now and I am generally satisfied with their performance. I use them for my SEO work and the response time is good. Although there have been instances of connectivity errors, they have only occurred about 5% of the time and I am overall pleased with their performance.
- Benjamin
The people I have worked with at this company are intelligent and enjoyable. They have a great approach to treating their employees and I am thoroughly enjoying my time with the company. Thank you.
- Joshua
I am very happy with this service. Not only are the prices reasonable and straightforward, but the support is great. They truly care about providing good service. I have contacted them multiple times as a programmer and they have always gone above and beyond to help. I also purchased a yearly package, which is ending soon and I will definitely renew. I mostly use the rotating proxy for real-time NASDAQ market and e-commerce.
USA
Europe













China
Ukraine
Canada
France
Turkey
India
Poland
Spain
Mix of countries