Free Proxy for Scraping
Stable Proxies:
IP address | Port | Country | Protocol | Verified |
---|---|---|---|---|
194.26.229.46 | 20000 | Russian Federation | socks | 44 minutes ago |
172.64.165.79 | 80 | United States | http | 3 hours ago |
172.67.72.188 | 80 | United States | http | 9 hours ago |
194.26.229.46 | 20002 | Russian Federation | socks | 1 day ago |
194.26.229.46 | 20009 | Russian Federation | socks | 1 day ago |
161.123.116.54 | 22332 | Canada | http | 1 day ago |
37.186.66.36 | 3629 | Armenia | socks | 1 day ago |
85.21.233.231 | 1337 | Russian Federation | socks | 2 day ago |
172.67.160.84 | 80 | United States | http | 2 day ago |
172.67.165.174 | 80 | United States | http | 2 day ago |
172.66.0.96 | 80 | United States | http | 2 day ago |
91.107.143.161 | 3128 | Germany | http | 2 day ago |
91.201.119.198 | 1337 | Russian Federation | socks | 2 day ago |
89.133.137.45 | 4145 | Hungary | socks | 2 day ago |
77.68.77.181 | 80 | United Kingdom | http | 3 day ago |
92.205.110.118 | 35153 | France | socks | 3 day ago |
83.17.171.252 | 36099 | Poland | socks | 3 day ago |
173.212.223.23 | 28083 | Germany | socks | 3 day ago |
213.219.198.69 | 80 | Russian Federation | http | 3 day ago |
81.19.137.61 | 80 | France | socks | 3 day ago |
193.233.232.116 | 80 | Austria | socks | 3 day ago |
172.104.143.136 | 80 | Germany | http | 4 day ago |
78.30.191.213 | 8080 | Serbia | http | 4 day ago |
109.202.160.2 | 8888 | Russian Federation | http | 4 day ago |
13.51.234.32 | 8096 | Sweden | http | 4 day ago |
172.64.154.143 | 80 | United States | http | 5 days ago |
62.109.0.18 | 24101 | Russian Federation | socks | 5 days ago |
65.21.159.49 | 80 | Finland | http | 5 days ago |
77.232.128.191 | 80 | Russian Federation | http | 5 days ago |
46.105.44.110 | 80 | France | http | 5 days ago |
152.53.3.82 | 7891 | Austria | socks | 5 days ago |
152.53.3.82 | 7890 | Austria | https | 5 days ago |
172.64.144.179 | 80 | Netherlands | http | 6 days ago |
213.21.59.134 | 4153 | Russian Federation | socks | 6 days ago |
95.220.110.1 | 80 | Russian Federation | socks | 6 days ago |
93.177.67.178 | 80 | Germany | http | 6 days ago |
93.171.103.125 | 8080 | Russian Federation | http | 1 week ago |
104.244.76.38 | 80 | Luxembourg | http | 1 week ago |
34.175.101.255 | 80 | Spain | http | 1 week ago |
91.65.102.12 | 80 | Germany | http | 1 week ago |
178.252.170.222 | 3128 | Iran | http | 1 week ago |
195.231.69.203 | 80 | Italy | http | 1 week ago |
172.67.75.35 | 80 | United States | http | 1 week ago |
172.67.128.150 | 80 | United States | http | 1 week ago |
172.66.40.144 | 80 | United States | http | 1 week ago |
172.64.145.59 | 80 | United States | http | 1 week ago |
172.67.165.123 | 80 | United States | http | 1 week ago |
172.67.162.240 | 80 | United States | http | 1 week ago |
79.121.102.227 | 8080 | Hungary | http | 1 week ago |
37.140.31.63 | 80 | Russian Federation | http | 1 week ago |
159.69.206.198 | 80 | Germany | http | 1 week ago |
185.146.173.59 | 80 | Sweden | http | 1 week ago |
103.130.145.169 | 80 | Turkey | http | 1 week ago |
79.174.12.190 | 80 | Russian Federation | http | 1 week ago |
41.65.236.53 | 1976 | Egypt | http | 1 week ago |
172.64.145.223 | 80 | United States | http | 1 week ago |
91.148.127.60 | 8080 | Serbia | http | 1 week ago |
178.254.42.248 | 80 | Germany | http | 1 week ago |
172.67.182.221 | 80 | United States | http | 1 week ago |
172.67.68.245 | 80 | Netherlands | http | 1 week ago |
172.64.194.218 | 80 | United States | http | 1 week ago |
45.81.232.17 | 8191 | Germany | socks | 1 week ago |
66.235.200.122 | 80 | United States | http | 1 week ago |
172.67.163.136 | 80 | United States | http | 1 week ago |
77.221.136.210 | 80 | Sweden | http | 1 week 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 | 2 weeks ago |
213.91.232.94 | 8080 | Bulgaria | http | 2 weeks ago |
109.197.153.25 | 8888 | Russian Federation | http | 2 weeks ago |
178.48.68.61 | 18080 | Hungary | http | 2 weeks ago |
88.198.82.189 | 3128 | Germany | https | 2 weeks ago |
51.75.126.150 | 50677 | France | socks | 2 weeks ago |
185.221.160.17 | 80 | Russian Federation | http | 2 weeks ago |
89.179.112.252 | 5678 | Russian Federation | socks | 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
Can anybody obtain my mac address?
In most cases, it is relatively easy for someone to obtain your MAC address if they are on the same network as you. There are a few different ways that this can be done:
1. Network scanning tools: Someone on the same network as you can use a network scanning tool to scan for devices and their MAC addresses. These tools are readily available and easy to use, and can be run from a computer or smartphone.
2. Network monitoring software: Some network monitoring software, such as packet sniffers, can be used to capture and display the MAC addresses of devices on the network.
3. Router logs: Your router's logs may contain information about the MAC addresses of devices that have connected to the network.
It is also possible for someone to obtain your MAC address remotely, although this is more difficult and requires a more sophisticated attacker. For example, they might use a remote exploit to gain access to your device and retrieve the MAC address from there.
In summary, it is relatively easy for someone on the same network as you to obtain your MAC address using network scanning tools or network monitoring software. It is also possible, although more difficult, for someone to obtain your MAC address remotely.
Playwright vs Selenium
Playwright and Selenium are both popular libraries for automating web browsers for testing and scraping purposes. They are similar in many ways, but there are also some key differences between them:
1. Cross-browser support: Playwright supports multiple browsers out-of-the-box, including Chrome, Firefox, and Safari, while Selenium requires the use of browser-specific drivers to interact with different browsers.
2. Performance: Playwright is faster than Selenium in certain cases, due to its optimized architecture and ability to run tests in parallel.
3. Features: Playwright has more advanced features, such as automatic waiting for elements to load, improved handling of dynamic content, and the ability to interact with multiple browsers in a single test, while Selenium has a more basic feature set.
4. Development: Selenium is an open-source project with a large and active community, while Playwright is an open-source project developed and maintained by Microsoft.
In summary, both libraries have their own strengths and weaknesses, and the best choice between them will depend on your specific use case and personal preferences. If you need cross-browser support, advanced features, and fast performance, Playwright might be a better choice for you. If you have a large existing investment in Selenium code, or if you prefer a more established and widely used library, Selenium might be a better fit.
What Is Rust?
Rust is a systems programming language that was developed by Mozilla and the Rust community. It was first released in 2010 and has since become a popular choice for developing high-performance applications and libraries. Rust is designed to be a safe and secure programming language, with a focus on avoiding common programming errors such as null pointer dereferences and buffer overflows.
Rust is known for its strong type system, concurrency support, and efficient memory management, making it an excellent choice for developing low-level systems software, such as operating systems, device drivers, and game engines. Additionally, Rust provides a modern and expressive syntax, making it easier to write and maintain complex software systems.
How to scrape YouTube with Web Scraping API?
To scrape YouTube with a web scraping API, you will need to find a suitable API provider and sign up for an API key. Once you have the API key, you can start making API requests to extract data from YouTube.
Here's a high-level overview of how the process works:
1. Identify the data you want to scrape from YouTube. This might include information such as video titles, descriptions, uploader names, views, and more.
2. Determine the API endpoint that corresponds to the data you want to scrape. Most web scraping APIs provide a list of endpoints for different types of data.
3. Make API requests to the endpoint using the API key. The API request should include parameters such as the YouTube channel ID, video ID, or search query, depending on the data you want to extract.
4. Receive the API response in a structured format, such as JSON or XML. The API response will contain the requested data, which you can then process and extract as needed.
5. Store the extracted data in a database, file, or another format for future use.
It's important to note that web scraping APIs are subject to rate limiting and other restrictions, so be sure to review the API provider's terms of use before using the API for web scraping purposes. Additionally, some web scraping APIs may not provide access to all the data you need, so you may need to supplement the API with other scraping techniques.
What are shopping bots?
Shopping bots are automated programs that are designed to perform online shopping tasks, such as price comparison, product search, and checkout. These bots simulate the actions of a human shopper, such as browsing websites, adding items to a shopping cart, and entering payment and shipping information.
Shopping bots are often used by consumers to save time and effort when shopping online, as well as by businesses for price monitoring and market research purposes. Some shopping bots can also be programmed to purchase limited-edition items, such as sneakers or concert tickets, as soon as they become available, increasing the chances of getting the item before it sells out.
There are different types of shopping bots, ranging from simple browser extensions to complex software systems. Some of the most popular shopping bots include Honey, Ibotta, and RetailMeNot.
However, the use of shopping bots can raise ethical and legal concerns, such as website scraping, copyright infringement, and artificial price inflation. Additionally, many online retailers have implemented measures to detect and prevent the use of shopping bots, such as using captchas or limiting the number of purchases per customer.
New Reviews
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