Free proxy address for Globe
Stable Proxies:
IP address | Port | Country | Protocol | Verified |
---|---|---|---|---|
94.28.48.51 | 3629 | Russian Federation | socks | 1 hour ago |
31.49.121.0 | 80 | United Kingdom | http | 4 hours ago |
88.202.230.103 | 7392 | United Kingdom | socks | 18 hours ago |
94.23.220.136 | 56714 | France | socks | 1 day ago |
5.75.206.99 | 80 | Germany | http | 1 day ago |
95.111.227.164 | 53152 | Germany | socks | 1 day ago |
195.35.29.39 | 80 | Germany | http | 1 day ago |
134.209.67.109 | 8086 | United States | http | 1 day ago |
5.228.229.33 | 80 | Russian Federation | http | 1 day ago |
84.247.128.92 | 3128 | Germany | http | 1 day ago |
51.89.73.162 | 80 | United Kingdom | http | 1 day ago |
185.196.178.152 | 4145 | Austria | socks | 1 day ago |
5.180.45.235 | 80 | Cyprus | http | 1 day ago |
65.21.49.83 | 8080 | Finland | http | 1 day ago |
51.210.19.141 | 80 | France | http | 1 day ago |
155.133.57.22 | 4153 | Poland | socks | 2 day ago |
178.208.10.237 | 1080 | France | socks | 2 day ago |
82.65.220.152 | 80 | France | http | 2 day ago |
173.212.237.43 | 27004 | Germany | socks | 2 day ago |
91.235.69.164 | 8382 | Ukraine | http | 2 day ago |
91.202.25.154 | 9090 | Russian Federation | http | 2 day ago |
164.92.167.4 | 1194 | Germany | http | 2 day ago |
156.200.116.72 | 1976 | Egypt | http | 3 day ago |
130.180.208.145 | 80 | France | http | 3 day ago |
185.152.113.67 | 9999 | Slovakia | http | 4 day ago |
217.65.2.14 | 3333 | Russian Federation | http | 4 day ago |
194.26.229.46 | 20000 | Russian Federation | socks | 4 day ago |
172.64.165.79 | 80 | United States | http | 4 day ago |
172.67.72.188 | 80 | United States | http | 5 days ago |
194.26.229.46 | 20002 | Russian Federation | socks | 6 days ago |
194.26.229.46 | 20009 | Russian Federation | socks | 6 days ago |
161.123.116.54 | 22332 | Canada | http | 6 days ago |
37.186.66.36 | 3629 | Armenia | socks | 6 days ago |
85.21.233.231 | 1337 | Russian Federation | socks | 6 days ago |
172.67.160.84 | 80 | United States | http | 6 days ago |
172.67.165.174 | 80 | United States | http | 6 days ago |
172.66.0.96 | 80 | United States | http | 6 days ago |
91.107.143.161 | 3128 | Germany | http | 1 week ago |
91.201.119.198 | 1337 | Russian Federation | socks | 1 week ago |
89.133.137.45 | 4145 | Hungary | socks | 1 week ago |
77.68.77.181 | 80 | United Kingdom | http | 1 week ago |
92.205.110.118 | 35153 | France | socks | 1 week ago |
83.17.171.252 | 36099 | Poland | socks | 1 week ago |
173.212.223.23 | 28083 | Germany | socks | 1 week ago |
213.219.198.69 | 80 | Russian Federation | http | 1 week ago |
81.19.137.61 | 80 | France | socks | 1 week ago |
193.233.232.116 | 80 | Austria | socks | 1 week ago |
172.104.143.136 | 80 | Germany | http | 1 week ago |
78.30.191.213 | 8080 | Serbia | http | 1 week ago |
109.202.160.2 | 8888 | Russian Federation | http | 1 week ago |
13.51.234.32 | 8096 | Sweden | http | 1 week ago |
172.64.154.143 | 80 | United States | http | 1 week ago |
62.109.0.18 | 24101 | Russian Federation | socks | 1 week ago |
65.21.159.49 | 80 | Finland | http | 1 week ago |
77.232.128.191 | 80 | Russian Federation | http | 1 week ago |
46.105.44.110 | 80 | France | http | 1 week ago |
152.53.3.82 | 7891 | Austria | socks | 1 week ago |
152.53.3.82 | 7890 | Austria | https | 1 week ago |
172.64.144.179 | 80 | Netherlands | http | 1 week ago |
213.21.59.134 | 4153 | Russian Federation | socks | 1 week ago |
95.220.110.1 | 80 | Russian Federation | socks | 1 week ago |
93.177.67.178 | 80 | Germany | http | 1 week 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 | 2 weeks ago |
172.64.194.218 | 80 | United States | http | 2 weeks ago |
45.81.232.17 | 8191 | Germany | socks | 2 weeks ago |
66.235.200.122 | 80 | United States | http | 2 weeks ago |
172.67.163.136 | 80 | United States | http | 2 weeks ago |
77.221.136.210 | 80 | Sweden | http | 2 weeks ago |
79.124.77.148 | 3128 | Bulgaria | http | 2 weeks ago |
176.10.111.23 | 80 | Switzerland | http | 2 weeks ago |
185.244.210.185 | 80 | France | http | 2 weeks ago |
95.110.227.85 | 3128 | Italy | http | 2 weeks ago |
147.45.104.252 | 80 | Russian Federation | http | 2 weeks ago |
206.189.12.206 | 80 | Netherlands | http | 2 weeks ago |
77.221.140.172 | 5556 | Sweden | socks | 2 weeks ago |
89.109.53.26 | 8123 | Russian Federation | http | 2 weeks ago |
217.160.99.39 | 80 | Germany | 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
Playwright vs Puppeteer
Playwright and Puppeteer 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 Puppeteer is primarily focused on Chrome.
2. Performance: Puppeteer is faster and more lightweight than Playwright, making it a good choice for simple automations and scraping tasks.
3. Features: Playwright has more features, such as the ability to run tests in parallel, automatic waiting for elements to load, and improved handling of dynamic content, while Puppeteer is focused on basic automation and scraping.
4. Development: Playwright is an open-source project developed and maintained by Microsoft, while Puppeteer is an open-source project developed and maintained by Google.
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, or are working on a complex automation project, Playwright might be a better choice for you. If you need fast and simple automations, Puppeteer might be a better fit.
How to Make Use of the Instagram Followers and Following Lists?
There are various ways you can make use of the Instagram followers and following lists that you scrape. Here are a few examples:
1. Marketing and advertising: You can use the followers and following lists to target specific demographics or interests to advertise your products or services.
2. Competitor analysis: You can use the followers and following lists to gather information about your competitors and their strategies, as well as to identify potential customers and collaborators.
3. Influencer marketing: You can use the followers and following lists to identify influencers in your niche and reach out to them to collaborate or run sponsored posts.
4. Data analysis: You can use the followers and following lists to gain insights into user behavior, preferences, and patterns, which can be useful for market research, trend analysis, and other data-driven applications.
Keep in mind that scraping data from social media platforms like Instagram is a sensitive matter and may be subject to specific terms of service and privacy policies. It's important to respect the rights of the users and be transparent about your data collection practices.
What is unstructured data?
Unstructured data refers to data that does not have a well-defined or easily recognizable structure. Unlike structured data, which is stored in a specific format and can be easily processed by computers, unstructured data is often stored in a more ad hoc manner and can be difficult to extract meaningful information from. Examples of unstructured data include text documents, emails, images, audio and video files, and social media posts. This type of data is often more difficult to analyze, as it requires more advanced tools and techniques to extract meaningful insights from it. Nevertheless, unstructured data can contain valuable information that can be used for various purposes, such as marketing and customer insights, risk management, and market analysis.
How to combat those anti-scraping tools?
Combating anti-scraping tools can be challenging, as these tools are specifically designed to prevent automated scripts and bots from accessing websites and services. However, there are some strategies that you can use to reduce the likelihood of encountering anti-scraping tools:
1. Slow down your requests: If you are making a large number of requests to a website in a short period of time, you may trigger its anti-scraping system. Slow down your requests and avoid making them all at once to reduce the likelihood of encountering anti-scraping tools.
2. Use a different IP address: If you are using an IP address that has been associated with previous malicious activity, you may be detected as a bot and blocked by the website's anti-scraping tools. Consider using a different IP address, such as a virtual private network (VPN), to reduce the likelihood of encountering anti-scraping tools.
3. Mimic human behavior: Anti-scraping tools are designed to distinguish between human behavior and automated scripts. By mimicking human behavior, such as typing speeds and mouse movements, you may be able to reduce the likelihood of encountering anti-scraping tools.
4. Use web proxy services: A web proxy service can help hide your IP address and location, making it more difficult for websites to detect your requests as coming from an automated script.
5. Respect the terms of service of websites: Some websites explicitly prohibit scraping in their terms of service. By respecting these terms and using websites for their intended purposes, you can reduce the likelihood of encountering anti-scraping tools.
It's important to note that the use of anti-scraping tools is becoming more common, and websites and services are constantly developing new and more sophisticated ways to detect and prevent scraping. By being respectful of the terms of service of websites and using them for their intended purposes, you can reduce the likelihood of encountering anti-scraping tools and help ensure that the internet remains a safe and secure place for everyone.
What is a residential IP?
A residential IP is an IP address that is assigned to an internet service provider (ISP) for use by its customers. Residential IPs are typically assigned dynamically to households and other end-users, and are used for everyday internet activities such as browsing websites, sending emails, and streaming videos.
Residential IPs are considered more trustworthy than other types of IPs, such as datacenter IPs, because they are associated with a physical location and are less likely to be used for malicious activities like spamming or web scraping. For this reason, residential IPs are often used in web scraping and other automated tasks where it is important to avoid detection and appear as a normal, human user.
There are a number of residential proxy providers that offer residential IPs for rent, allowing users to easily switch between multiple IP addresses and locations as needed. These services can be useful for a variety of purposes, including web scraping, bypassing geographical restrictions, and improving privacy and security online.
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