Well, let’s have a look at some of the top use cases where web scraping is a lifesaver: “What do I need the data for?” you may ask.
That is where building an automated tool for scraping comes into the discussion. Nowadays, websites are more and more content loaded, so performing this process entirely by hand is far from a good idea. This process is more useful than it seems if you consider that the more information you have, the better decisions you take in your business. Understanding web scrapingīut first, what does web scraping mean? On the most basic level, a web scraper extracts the data from a website, provided that not all of them offer their data under a public API. We will see how we can build our own web scraper. For developers, it could be a good way to boost their business or just a neat project to hone their coding skills.Įven if your work has nothing to do with web scraping, but you are a Python team player, at the end of this article, you will learn about a new niche where you can make great use of your skills. With the new spotlight shining over data extraction, companies are starting to see ways in which they can benefit. More and more businesses need an accurate marketing strategy, which implies vast amounts of information in a short amount of time. Web scraping and web scrapers hugely increased in popularity in the last decade especially. More data means more insights, so better decisions, so more money. If in the 20th century we dealt with a “time is money” mindset, now it’s all about data.
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