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Article extraction is the process of extracting data fields from an article page and putting it into a machine-readable structured format like JSON. In many use cases, the article page that you want to extract is a news page but it can be any other type of article.

If you haven’t read the previous ones, here’s the first part, the second and third part of the series.

Imagine a long crawling process, like extracting data from a website for a whole month. We can start it and leave it running until we get the results.

The web is complex and constantly changing. It is one of the reasons why web data extraction can be difficult, especially in the long term.

In case you missed them, here’s the first part and second part of the series.

We are excited to announce our next Zyte Automatic Extraction API: Product Reviews API (Beta). Using this API, you can get access to product reviews in a structured format, without writing site-specific code.

Web scraping projects usually involve data extraction from many websites.

Today we are delighted to launch a beta of our newest data extraction API: Zyte Automatic Extraction Vehicle API.

We’ve just released a new open-source Scrapy middleware which makes it easy to integrate Zyte Automatic Extraction into your existing Scrapy spider.

In the fifth and final post of this solution architecture series, we will share with you how we architect a web scraping solution, all the core components of a well-optimized solution, and the resources required to execute it.