We create a list of 10 questions you need to ask before you set your sights on a dataset. This checklist will help you assess all the elements you need to know in order to proceed with your data project.
Accessing a massive amount of information stored in PDFs and converting it can then be a burdensome task. Luckily, PDF data extraction offers solutions to automate this task and automatically convert messy information into structured and usable data.
In this article, we explain why all your different data extraction processes should be decoupled for a more seamless workflow. That might sound counterintuitive… But the idea is as old as the world: divide and conquer (even algorithms understand).
To help your developer navigate the deep and dark waters of ETL, RefinePro has drawn on their years of experience to create a list of ETL (extract, transform, and load) principles and best practices.
Maintaining the quality of your data is paramount to any web scraping or data extraction project.
Choosing the right web scraper: parsehub, content grabber, and puppeteer
Is web scraping easy? No.
Is it Profitable? It can.