When it comes to web scraping at scale, there’s a set of challenges you need to overcome to extract the data. But once you are able to get it, you still have work to do. You need to have a data QA process in place. Data quality becomes especially crucial if you’re extracting high volumes of data from the web regularly and your team’s success depends on the quality of the scraped data.
For many people (especially non-techies), trying to architect a web scraping solution for their needs and estimate the resources required to develop it, can be a tricky process.
Oftentimes, this is their first web scraping project and as a result have little reference experience to draw upon when investigating the feasibility of a data extraction project.
In this series of articles we’re going...