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Data has become an invaluable resource in today’s digital-driven world and obtaining data has become more costly.

The internet is full of useful information that we can use. However, at the same time, it’s full of hidden noise that can be harmful for data analysis. An effective analysis process, such as data parsing is imperative to work with structured and accurate data.

We put Zyte’s own Automatic Extraction API head-to-head with a commercial rival - and an open-source alternative - to find out who’s product extraction top dog.

The year so far has been quite interesting for the Web Data Extraction industry. As more and more companies are realizing the power of web extracted data, the demand for web data is rising quickly.

In this issue:
Using NLP libraries to discover what the internet says about anything
Scraping Singapore libraries
Scrape the latest stock prices with node.js and puppeteer
How to scrape a website for your ML project
Scraping images using Selenium

If you are interested in web scraping as a hobby or you might already have a few scripts extracting data but are not familiar with Scrapy then this article is meant for you.

It's a 21st-century truism that web data touches virtually every aspect of our daily lives. We create, consume, and interact with it while we’re working, shopping, traveling, and relaxing. It’s not surprising that web data makes the difference for companies to innovate and get ahead of their competitors. But how to extract data from a website? And what’s this thing called ‘web scraping’?

In this issue:
Crawl product details using Scrapy-Splash
How to schedule python Scrapy spiders on Heroku using custom clock process for free
How to make sense out of webpage data tables using pandas
Scraping Amazon website for book information