

The business need is at the core of every web scraping project, as it clearly defines what objective do they want to achieve.

The requirement gathering process can be broken into two parts: 1) understanding the business needs, and 2) defining the technical requirements to meet those needs. In this article, we will discuss the four critical steps to scoping every web scraping project and the exact questions you should be asking yourself when planning your data extraction needs. In this second post in our solution architecture series, we will share with you our step-by-step process for data extraction requirement gathering.Īs we mentioned in the first post in this series, the ultimate goal of the requirement gathering phase is to minimize the number of unknowns, if possible to have zero assumptions about any variable so the development team can build the optimal solution for the business need.Īs a result, accurately defining project requirements most important part of any web scraping project. Custom proxy and anti-ban solutions tailored for success at scale.Here goes a section description, two lines copy would work hosting for your Scrapy Spiders.Scalable cloud hosting for your Scrapy Spiders.AI powered extraction of data from html in the format you need.Never get blocked again with Zyte proxies and smart browser tech all rolled into one powerful, lean, and ultra-reliable API.Real estate data and property listings data from major listings portals and specialist websites.Social media data from specialist forums and the biggest social media platforms online.Job postings and listings data from the biggest jobs boards and recruitment websites.Search engine results page (SERP) data at scale from the biggest search engines online.Business data from business directories, location apps, and the largest business websites online.Articles and news data from global publishers and the largest news websites in the world.Product data from the biggest e-commerce stores and product marketplaces online.World's leading web scraping service.The fastest way to get rock solid, reliable web data at scale.
