The popularity of web scraping is growing at such an accelerated pace these days. Nowadays, not everyone has technical knowledge of web scraping and they use APIs like news API to fetch news, blog APIs to fetch blog-related data, etc.
As web scraping is growing, it would be almost impossible not to get cross answers when the big question arises: is it legal?
The incredible amount of data available publicly on the internet for any industry can be useful for market research. You can use this data in machine learning/big data to train your model with tens of thousands of entries.
Here, in this article, I’m going to discuss the development of a web scraper with Node.js, Cheerio.js, and send back-end data to Vue.js in the front-end. Along with that, I’m going to use a simple crawler Node.js package.
Web scraping is something developers encounter on a daily basis.
There could be different needs as far as each scraping task is concerned. It could be a product or stock pricing.
