One of the most significant applications of Web Scraping in retail and e-commerce is in monitoring competitor price movements. This, when done well, can mean extra revenue and also will allow the retailer to ensure that they are always in the game and are not taken by surprise by anything the competition is doing.

Here is a simple script that does that. We will use BeautifulSoup to help us extract information, and we will track the prices on eBay.


Are you getting IP blocked repeatedly when web scraping at scale?

Is this happening even after passing it through a couple of free proxy servers?

It might be because the target website’s algorithm might be picking up on who you are by the User-Agent-String signature that your curl request or any other library you might be using is sending. Even the absence of it is telling.

But if you do it well, you do get a lease of life, albeit only for a while.


One of the biggest applications of Web Scraping is in scraping hotel listings from various sites. This could be to monitor prices, create an aggregator, or provide better UX on top of existing hotel booking websites.

Here is a simple script that does that. We will use BeautifulSoup to help us extract information and we will retrieve hotel information on Airbnb.com.


Google Scholar is a tremendous resource for academic resources from across the world wide web. Today let’s see how we can scrape Google Scholar results for the search “Web scraping.”

We will use BeautifulSoup to help us extract information, and we will use the Python Requests module to fetch the data.


One of the biggest applications of Web Scraping is in scraping restaurant listings from various sites. This could be to monitor prices, create an aggregator, or provide better UX on top of existing hotel booking websites.

Here is a simple script that does that. We will use BeautifulSoup to help us extract information and we will retrieve hotel information on Zomato.


One of the biggest applications of Web Scraping is in scraping hotel listings from various sites. This could be to monitor prices, create an aggregator, or provide better UX on top of existing hotel booking websites.

Here is a simple script that does that. We will use BeautifulSoup to help us extract information and we will retrieve hotel information on Realtor.com


It’s super easy to build a rudimentary proxy server with Python. The trick lies in using the right modules.

Today we will use the SocketServer and the SimpleHTTPServer modules to listen for incoming requests and the URL lib module to fetch the target web pages.


One of the biggest applications of Web Scraping is in scraping hotel listings from various sites. This could be to monitor prices, create an aggregator, or provide better UX on top of existing hotel booking websites.

Here is a simple script that does that. We will use BeautifulSoup to help us extract information and we will retrieve hotel information on Booking.com


Here is a list of places that your web crawler will probably fail at. You will need to build in checks for each and also expect them to happen. Send yourself alerts by having portions of the scripts check for unexpected behavior.


Every developer who has ever attempted web scraping of some scale knows the inevitable IP block that is coming. It takes some skill, drudgery, and sheer experience to write web scrapers that can scale

Mohan Ganesan

Founder @ ProxiesAPI.com

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