Do you regularly scrape the web but always seem to run into problems with your scrapers getting blocked?
The general consensus is that sending HTTP requests with the Python standard library isn’t the easiest of things. The majority of developers find themselves employing third-party tools such as Requests to ensure a smoother scraping experience. However, the right kind of tool is just one of many challenges that you’ll need to overcome to scrape successfully. Another obstacle that needs to be overcome is that of getting around the banning of scrapers.
Here are four reasons you should consider using proxies with Python requests.
1. Avoid scrapers getting blocked
Scraping with Python can be a challenge that results in your scrapers getting blocked. It’s frustrating as it wastes your time and halts progress mid-way. Fortunately, there is a way around this problem – using proxies with Python requests. Using proxies such as ProxyMesh when you make Python requests will prevent your scraper from being subsequently banned. Here are some good examples for python proxy configuration.
2. Get access to rotating IPs
A pool of rotating IP addresses will help you reach the websites you wish to scrape effectively. You’ll be able to carry out the data extraction stress-free. Proxy service providers like ProxyMesh give you access to many rotating IP address proxy servers. As your requests pass through these anonymous proxy servers they will be randomly routed through any of the available proxy IP addresses ensuring total anonymity on your end.
3. Get past rate limits set by target site
Sometimes target sites that you wish to scrape have set rate limits in place which prevents you from carrying out a full-on scale scrapping session of that site. This rate-limiting software when it detects numerous requests from a single IP address may deem this to be automated access and so will block you and send an error message.
Most scrapers usually encounter this problem if they have targeted websites and wish to go through thousands of content pages. If you’ve tried scraping a site with such rate limits, an efficient way to get past the limits is to direct your Python requests through proxy servers.
4. Access websites blocked in your country
Do you wish to scrape a website that’s not readily available in your country? Then going through a proxy server will help you get around this challenge. The proxy server that you’ll use can mask your original IP address and give you an address that will grant you permission to access that site wherever you may be on this planet.
This is why ProxyMesh is such a crowd-favorite proxy. With proxy servers across the US, Europe and Asia, there’s great location coverage. However if you need a very specific location, consider Wonder Proxy.
Getting proxies and integrating them into your scraping software
We recommend proxies such as ProxyMesh if you wish to successfully scrape using Python requests. In order to integrate these proxies into your scraping software, you’ll need to pass your web scraper’s request through your proxy of choice. The rotating proxy will handle the rest.
Are you keen to learn more about using ProxyMesh as your proxy of choice? Contact us today.
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