Zamtel Free Internet Proxy
Stable Proxies:
IP address | Port | Country | Protocol | Verified |
---|---|---|---|---|
83.17.171.252 | 36099 | Poland | socks | 37 minute ago |
173.212.223.23 | 28083 | Germany | socks | 1 hour ago |
213.219.198.69 | 80 | Russian Federation | http | 12 hours ago |
81.19.137.61 | 80 | France | socks | 13 hours ago |
193.233.232.116 | 80 | Austria | socks | 13 hours ago |
172.104.143.136 | 80 | Germany | http | 15 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 | 1 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 | 3 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 | 5 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 | 1 week ago |
5.189.130.215 | 31224 | Germany | socks | 1 week ago |
45.81.232.17 | 54248 | Germany | socks | 2 weeks ago |
45.143.220.99 | 8118 | Netherlands | https | 2 weeks ago |
172.64.147.188 | 80 | United States | 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 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.
What is ProxMate?
ProxMate is a browser extension that allows you to access websites and other internet resources that are restricted based on your location. It is available for the Chrome, Firefox, and Opera web browsers, and can be used to bypass internet censorship or access content that is only available in certain regions.
ProxMate works by redirecting part of your internet traffic through a proxy server, which changes your apparent location and allows you to access websites that are restricted to certain regions. It includes features such as:
Quick switch: ProxMate allows you to switch between different locations with a single click.
Automatic switching: ProxMate can be configured to automatically switch between locations based on the websites that you visit.
Custom locations: You can add and configure custom locations to access specific websites or IP addresses.
Anonymity level: ProxMate allows you to choose the level of anonymity that you want, from high anonymity (which hides your IP address and other identifying information) to transparent (which does not use a proxy).
In summary, ProxMate is a browser extension that allows you to access websites and other internet resources that are restricted based on your location. It is available for the Chrome, Firefox, and Opera web browsers, and includes features such as quick switch, automatic switching, custom locations, and anonymity level. It can be used to bypass internet censorship or access content that is only available in certain regions.
How do you speed up web scraping in Python?
There are several ways to speed up web scraping in Python:
1. Use a fast HTTP library: When scraping the web, the performance of the HTTP library you use can have a significant impact on the speed of your scraping process. Consider using a fast library like requests or aiohttp to send HTTP requests and receive responses from the web.
2. Use multiple threads or asynchronous programming: Web scraping can be time-consuming if you're making many requests to different websites. To speed up the process, you can use multiple threads or asynchronous programming to make multiple requests at the same time. This way, you can avoid waiting for a single request to complete before moving on to the next one.
3. Use caching: If you're scraping a website that doesn't change frequently, you can cache the results of your requests to avoid making the same request multiple times. This can save time and reduce the load on the target website.
4. Use a proxy or a VPN: If you're making many requests to the same website, it may be necessary to use a proxy or a VPN to avoid being blocked. This can help you avoid long wait times and speed up the scraping process.
5. Optimize your code: Finally, you can optimize your scraping code to reduce the amount of time it takes to complete. For example, you can minimize the amount of data you scrape from each page, reduce the number of requests you make, and simplify your code to reduce overhead.
By using a combination of these techniques, you can significantly speed up web scraping in Python and achieve faster and more efficient scraping results.
What is an SSL (or HTTPS) proxy?
An SSL (Secure Sockets Layer) proxy, also known as an HTTPS (Hypertext Transfer Protocol Secure) proxy, is a type of proxy server that encrypts the data transmitted between the client and server. This type of proxy adds an extra layer of security and privacy, as all data transmitted over the connection is encrypted and protected from prying eyes.
An SSL proxy works by acting as an intermediary between the client and the server, intercepting and decrypting all data transmitted over the connection. The proxy then re-encrypts the data using its own SSL certificate before forwarding it to the server. This means that all data transmitted over the connection is encrypted, including sensitive information such as usernames, passwords, and credit card numbers.
The use of SSL proxies is becoming increasingly common for a variety of purposes, including:
1. Anonymity: An SSL proxy can be used to mask your IP address and protect your privacy and security online.
2. Security: An SSL proxy provides an extra layer of security for sensitive data, such as financial transactions, by encrypting all data transmitted over the connection.
3. Bypassing restrictions: An SSL proxy can be used to bypass internet censorship and access restricted content, such as websites that are blocked in certain countries.
4. Scraping: An SSL proxy can be used to extract data from websites that use SSL encryption, such as online shopping sites, social media websites, and banking sites.
Overall, SSL proxies offer a higher level of security and privacy compared to standard HTTP proxies, making them a good choice for a variety of tasks that require a secure and encrypted connection.
Use an Amazon scraper to gather valuable market data
Scraping Amazon to gather market data can provide valuable insights into consumer behavior and market trends, but it's important to be aware of the legal implications of scraping the site.
Amazon's terms of service prohibit the scraping of their website without prior written consent. If you do choose to scrape Amazon, it's important to use a reliable and ethical scraper that respects the site's terms of service and does not engage in any malicious or disruptive activity.
When using an Amazon scraper, you can gather data on product prices, customer reviews, sales trends, and other information that can be used to make informed business decisions. However, it's important to keep in mind that the data obtained through scraping may not always be accurate or up-to-date, and relying solely on scraped data is not recommended. It's best to use scraped data as one of several sources of market intelligence, and to always verify the information through additional research and analysis.
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