It is a well-known fact that Python is one of the most popular programming languages for data mining and Web Scraping. There are tons of libraries and niche scrapers around the community, but we’d like to share the 5 most popular of them.

Most of these libraries' advantages can be received by web scraping API and some of these libraries can be used in stack with it.

AngularJS is a quite common framework for building modern Single Page Applications, but what about the ability to scrape sites based on it? Let’s find out.

In the current article, I’d like to share my experience with Amazon products scraping. The well-known Amazon marketplace offers the best deals for thousands of product types and from thousands of sellers. The potential amount of data to scrape is quite insane and can be used for:

• Market price comparison
• Price change tracking
• Analyzing product reviews
• Copyright check
• Finding the best products for selling or dropshipping
• A lot of data science and machine learning stuff

Web Scraping, also known as web data extraction, is the process of retrieving or “scraping” data from a website. Data displayed by most websites can only be viewed using a web browser. Most websites do not provide the option to save the data which they display to your local storage, or to your own website. This is where a Web Scraping software like ScrapingAnt comes in handy.