Free anonymous proxy website
Stable Proxies:
IP address | Port | Country | Protocol | Verified |
---|---|---|---|---|
216.24.57.6 | 80 | United States | http | 15 minute ago |
45.8.211.9 | 80 | Russian Federation | http | 3 hours ago |
65.21.24.81 | 80 | Finland | http | 3 hours ago |
178.250.189.192 | 8118 | Germany | http | 3 hours ago |
88.99.138.21 | 5657 | Germany | socks | 6 hours ago |
82.146.45.136 | 3128 | Russian Federation | http | 6 hours ago |
179.43.182.73 | 1080 | Switzerland | socks | 7 hours ago |
188.34.179.101 | 80 | Germany | http | 18 hours ago |
31.207.36.34 | 80 | http | 21 hour ago | |
172.67.212.189 | 80 | United States | http | 21 hour ago |
212.64.193.117 | 80 | Turkey | http | 21 hour ago |
45.133.107.238 | 81 | Armenia | http | 21 hour ago |
88.99.138.21 | 5848 | Germany | socks | 1 day ago |
91.151.90.239 | 80 | Turkey | http | 1 day ago |
51.195.40.90 | 80 | France | http | 1 day ago |
91.92.155.207 | 1080 | Switzerland | socks | 1 day ago |
38.180.36.19 | 80 | Kazakstan | http | 1 day ago |
94.23.19.184 | 2912 | France | https | 2 day ago |
45.81.232.17 | 27308 | Germany | socks | 2 day ago |
185.162.60.6 | 8080 | http | 2 day ago | |
138.201.182.222 | 80 | Germany | http | 2 day ago |
5.35.92.156 | 80 | Russian Federation | http | 2 day ago |
92.118.170.236 | 3128 | Russian Federation | http | 2 day ago |
45.81.232.17 | 41792 | Germany | socks | 2 day ago |
45.81.232.17 | 23363 | Germany | socks | 2 day ago |
91.226.14.136 | 5678 | Russian Federation | socks | 2 day ago |
78.135.87.95 | 80 | Turkey | http | 2 day ago |
5.255.97.208 | 80 | Netherlands | http | 2 day ago |
88.99.91.117 | 80 | Germany | http | 2 day ago |
212.107.12.77 | 80 | Netherlands | http | 2 day ago |
2.35.9.104 | 80 | Italy | http | 2 day ago |
185.49.31.205 | 8080 | Poland | http | 2 day ago |
37.27.32.80 | 80 | Finland | http | 2 day ago |
45.11.95.166 | 6002 | Russian Federation | https | 2 day ago |
5.75.192.13 | 80 | Germany | http | 2 day ago |
51.89.14.70 | 80 | United Kingdom | http | 2 day ago |
65.109.203.176 | 80 | Finland | http | 2 day ago |
5.75.200.38 | 80 | Germany | http | 2 day ago |
49.13.161.231 | 80 | Germany | http | 2 day ago |
45.87.43.152 | 80 | Netherlands | http | 2 day ago |
31.43.158.108 | 8888 | http | 3 day ago | |
51.254.78.223 | 80 | France | http | 3 day ago |
163.172.4.109 | 8080 | France | https | 3 day ago |
172.67.201.37 | 80 | United States | http | 3 day ago |
46.232.248.164 | 80 | Germany | http | 3 day ago |
65.109.163.154 | 80 | Finland | http | 3 day ago |
185.78.76.190 | 1080 | Germany | socks | 3 day ago |
176.211.64.211 | 1080 | Russian Federation | socks | 3 day ago |
89.37.219.212 | 8080 | Iran | http | 3 day ago |
45.81.232.17 | 34447 | Germany | socks | 3 day ago |
45.81.232.17 | 53288 | Germany | socks | 4 day ago |
5.188.66.181 | 8088 | Kazakstan | socks | 4 day ago |
170.114.46.8 | 80 | United States | http | 4 day ago |
88.99.138.21 | 5083 | Germany | socks | 4 day ago |
144.91.84.92 | 7891 | Germany | socks | 4 day ago |
144.91.84.92 | 7890 | Germany | https | 4 day ago |
185.17.3.24 | 7777 | Russian Federation | socks | 4 day ago |
212.108.155.205 | 9090 | Cyprus | http | 4 day ago |
88.212.48.11 | 4444 | Slovakia | http | 4 day ago |
170.114.45.8 | 80 | United States | http | 4 day ago |
185.18.198.163 | 62753 | Spain | socks | 4 day ago |
109.72.232.217 | 8080 | Russian Federation | http | 4 day ago |
194.31.64.44 | 80 | Turkey | http | 4 day ago |
172.67.136.242 | 80 | United States | http | 5 days ago |
172.67.205.138 | 80 | United States | http | 5 days ago |
172.67.74.57 | 80 | United States | http | 5 days ago |
172.67.30.148 | 80 | United States | http | 5 days ago |
78.47.35.35 | 3312 | Germany | https | 5 days ago |
194.32.231.190 | 57775 | Russian Federation | socks | 5 days ago |
89.35.73.129 | 3131 | Germany | http | 5 days ago |
65.109.211.101 | 3128 | Finland | http | 6 days ago |
45.81.232.17 | 24803 | Germany | socks | 6 days ago |
194.182.187.78 | 1080 | Austria | socks | 6 days ago |
45.81.232.17 | 17639 | Germany | socks | 6 days ago |
37.1.199.18 | 80 | Germany | http | 6 days ago |
5.135.83.214 | 80 | France | http | 6 days ago |
173.212.205.225 | 3186 | Germany | http | 6 days ago |
45.11.95.165 | 6045 | Russian Federation | http | 6 days ago |
207.180.198.241 | 37443 | Germany | socks | 6 days ago |
92.205.110.47 | 50709 | France | socks | 6 days ago |
45.81.232.17 | 27855 | Germany | socks | 6 days ago |
213.136.75.85 | 59058 | Germany | socks | 6 days ago |
195.85.23.30 | 80 | Czech Republic | http | 1 week ago |
90.188.255.237 | 3128 | Russian Federation | http | 1 week ago |
195.85.23.226 | 80 | Czech Republic | http | 1 week ago |
45.11.95.165 | 6049 | Russian Federation | http | 1 week ago |
89.218.8.152 | 3128 | Kazakstan | https | 1 week ago |
45.133.107.246 | 81 | Armenia | http | 1 week ago |
45.133.107.10 | 81 | Armenia | http | 1 week ago |
45.133.107.64 | 81 | Armenia | http | 1 week ago |
185.212.60.62 | 80 | Netherlands | http | 1 week ago |
93.171.220.229 | 8888 | Turkmenistan | http | 1 week ago |
141.94.250.189 | 3128 | France | http | 1 week ago |
212.156.217.147 | 4153 | Turkey | socks | 1 week ago |
84.201.138.237 | 1080 | Russian Federation | socks | 1 week ago |
109.108.40.238 | 8090 | Russian Federation | https | 1 week ago |
213.133.98.201 | 1369 | Germany | http | 1 week ago |
37.26.223.96 | 9080 | Norway | http | 1 week ago |
88.99.138.21 | 5220 | Germany | socks | 1 week ago |
51.68.138.113 | 3333 | Poland | http | 1 week 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 web scraping?
Web scraping, also known as web harvesting or web data extraction, is the process of extracting data from websites. It involves making HTTP requests to a website's server, downloading the HTML or XML code for the web page, and then parsing that code to extract the desired data.
Web scraping can be used to gather a wide range of data from websites, including product names, prices, ratings, reviews, and other details. It is often used by businesses to gather data for market research, competitor analysis, or price comparison purposes.
Web scraping can be done manually, using a web browser and tools such as web developer console or browser extensions. However, it is more commonly done using specialized software or tools that automate the process of making HTTP requests, parsing HTML or XML code, and extracting data.
Web scraping can be a useful way to gather data from websites, but it is important to be aware that web scraping may be against the terms of service of some websites, and it is a good idea to carefully review the terms of service of any website before attempting to scrape data from it.
How is data classified?
Data can be classified in a variety of ways, depending on the context and the purpose of the classification. Some common ways to classify data include:
1. Structural classification: This type of classification is based on the data's structure and organization, such as tables, fields, and records.
2. Content classification: This type of classification is based on the data's content and meaning, such as customer data, sales data, or financial data.
3. Format classification: This type of classification is based on the data's format, such as text, images, audio, or video.
4. Sensitivity classification: This type of classification is based on the data's level of sensitivity and the level of protection it requires, such as confidential, restricted, or public.
5. Source classification: This type of classification is based on the data's origin or source, such as internal data, external data, or public data.
6. Temporal classification: This type of classification is based on the data's time-based characteristics, such as real-time data, historical data, or future data.
7. Purpose classification: This type of classification is based on the intended use of the data, such as business intelligence data, operational data, or regulatory data.
The choice of classification method depends on the particular needs of the organization, the data itself, and the intended use of the data.
What exactly is customer sentiment data?
Customer sentiment data refers to information about how customers feel about a particular product, brand, or company. It can be collected from a variety of sources, including online reviews, social media posts, and customer surveys. The data provides insights into the attitudes, opinions, and emotions of customers towards a particular product, service, or brand. It can be used to measure customer satisfaction, identify areas for improvement, and inform marketing and product development strategies. By understanding customer sentiment, companies can make data-driven decisions that improve the customer experience and drive business success.
What is SyntaxError?
A SyntaxError is an error in the syntax of a program, indicating that the code is not written correctly and cannot be executed. Syntax errors occur when a program violates the rules of the programming language, such as incorrect indentation, improper use of quotes or parentheses, and misnamed variables.
These types of errors can be easily fixed by reviewing the code and making the necessary changes to bring it into compliance with the programming language's syntax rules. It is important to address SyntaxErrors as soon as possible, as they will prevent a program from executing correctly.
New Reviews
- Henry
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