Data extraction, a.k.a web scraping, is the process of automatically extracting data from websites. It's an important part of modern digital transformation initiatives requiring the ability to ...

Extract. The first step is getting data out of one program and into another. It’s the part of the process most leaders already know they need, but it’s only useful when paired with the other two.

Web scraping is the process of using automated software, like bots, to extract structured data from websites. There are many applications for web scraping, including monitoring product retail ...

This ensures that everyone involved in the data extraction process is working with the same tools, which promotes consistency and efficiency within your organization.

ELT (extract, load, and transform) is a more modern process in which the data goes into a data lake or data warehouse in raw form, and then the data warehouse performs any necessary transformations.

Manual extraction of unstructured data is time-consuming and error-prone; Unstract automates this process. Upload documents, specify extraction prompts, and receive structured data in JSON format.

Document AI or Intelligent Document Processing (IDP) has transformed the way we extract data from various scanned documents, such as PDFs, invoices, receipts, tax, legal, insurance documents and ...

Data extraction Image Credits:Instabase Historically, Instabase was one of numerous document processing automation companies that used more rules-based techniques to extract and process data.