The first web browser was created in 1990 and the first web robot was built in 1993. It was only for measuring the size of the web. By December 1993, the first web-crawler based search engine, JumpStation had been created even though the data was not being scraped. Python’s BeautifulSoup, the easy-to-use web scraping library was created way back in 2004. But these were only the stepping stones to the form and extent that we are seeing in the field of web-scraping today.
Some of the biggest ongoing data science projects, be it on social media data, or image detection, are using the vast amount of data available on the internet to build a database before validating which algorithm runs best. Hence, web-scraping is a new way forward- be it in the field of medical science or marketing. The massive amount of data it has put in the hands of people has helped make decisions more data-backed and intelligent.
With web scraping becoming so common, almost every industry and sector. They try to make the most of the huge repository of data to revive and transform itself. Whether you are in the workspace renting business, or you’re just selling books online. You will have to use data to your advantage, and for businesses that end up not doing that. This will only leave more data at the table for their competitors.
If you are a tech-based company, you should try to incorporate scraped data into your workflow. If not, you should try to use cloud-based solutions to scrape data and use it to your advantage. Different SaaS solutions by Amazon AWS help in the storage and transformation of data and even let you run machine learning algorithms on them to build predictive models. And when it comes to getting the web scraped data, all you need is a DaaS solution like PromptCloud. We offer fully managed enterprise-grade web scraping solutions that can transform your business.