Daniel - October 29, 2020
In this post, we will show you the best proxies for PycURL.
However, if you are wondering what PycURL is all about, let’s show you some basics about it.
PycURL is the same as Libcurl except that it has a Python interface. Just like Libcurl, it is a free client-side URL file transfer library that supports multiple protocols. Some of which includes:
Furthermore, PycURL performs other functions that are common with Libcurl such as, HTTP proxy tunneling, resuming file transfer, FTP uploading, user/password authentication, HTTP form based upload, HTTP PUT, HTTP POST, etc.
As a Python interface tool, PycURL is more advanced and matured than Libcurl. It was developed for advanced developers and works very fast. Furthermore, you can run multiple connections concurrently.
However, it might take a bit of time to learn how to use this tool. This is because its interface is somewhat complex. You’ll find it easier if you know how to use the Libcurl C API.
You can download PycURL from the official website or get the API code from GitHub and connect with any platform. Its Win32 version works on Windows and Mac. Also, PycURL is available for Ubuntu, Debian GNU/Linux, FreeBSD, Gentoo Linux, NetBSD, and OpenBSD devices.
Now, let’s show you why you need to use proxies for PycURL
PycURL is a file transfer library, just like Libcurl. Basically, file transfer libraries are used to execute various commands that require the use of a proxy.
One of the major commands is web crawling; getting website URLs for indexing. Another major PycURL use is for transferring data from server to server. If you’re performing any of these on top websites, there’s a tendency that your IP address will be blocked.
Websites do not accept bot traffic i.e traffic that is not from humans. This is done to protect the sites as most bot traffic is sent by hackers. When you try to send commands or run scripts on websites by using PycURL, the traffic may get flagged as bot traffic.
Talk about username and password authentication on Twitter, Facebook, and other top social media platforms. The risk of getting blocked is even high because these platforms have staunch anti-bot measures.
If your IP address is blocked, you won’t be able to access the website but with a proxy, you can easily switch your IP address with every request and reduce the risk of getting blocked. Moreover, proxies provide millions of IP addresses in specified locations at your disposal.
Datacenter proxies and residential proxies are the two main proxy types out there. They are opposite of each other and you can use any of them with PycURL.
However, the best one to use will depend on your task. What differentiates them?
A datacenter proxy is a proxy type with “virtually” generated IP addresses. The connection is from a data server in specific countries and random IP address numbers are generated with every connection.
A residential proxy is a proxy type with “real” IP addresses. The IP addresses are from Internet Service Providers (ISPs) and they are linked to a physical location.
Datacenter proxies are best for performing tasks that require speed. They are the fastest proxies out there.
Fortunately, you can get affordable datacenter proxies from ProxyRack. Check out their subscriptions below:
USA Rotating Datacenter Proxies: Starting from $120
Mixed Rotating Datacenter Proxies: Starting from $120
Shared Datacenter Proxies: Starting from $49
Residential proxies are ideal for performing PycURL tasks that require top-notch privacy and consumes high-bandwidth. Hence, you can get residential proxies from Proxyrack with any of these subscriptions:
Unmetered Residential Proxies: Starting from $80
Premium GEO Residential Proxies: Starting from $14.95
Private Residential Proxies: Starting from $99.95
As a reliable proxy service provider, Proxyrack can provide you with the best proxies for PycURL. No matter the task you intend to complete with the Python Interfaced client-side file transfer library, you can use either datacenter or residential proxies.
To get started with using proxies for running automated tasks, feel free to contact our support team.