Diffbot: Unlocking the Power of Web Data for AI
In the digital age, the web is a vast repository of information. But what if we could transform this unstructured web data into something more useful for our AI applications? That's where Diffbot comes in.
Overview
Diffbot offers a comprehensive set of features to extract various types of data from the web. It can handle data types like Organizations, with over 246M companies and non-profits in its Knowledge Graph, providing 50+ data fields such as categories, revenue, locations, and investments. It also deals with News & Articles, having more than 1.6B entries, along with Retail Products, Discussions, and Events, each with their own unique set of data characteristics.
Core Features
One of the standout features is its ability to read the web like a human and transform it into a usable Knowledge Graph. This allows for accurate data feeds of news, organizations, and people through its Search functionality. Additionally, it can enhance existing datasets and infer entities, relationships, and sentiment from raw text.
Basic Usage
Getting started with Diffbot is easy. You can extract and analyze articles, products, discussions, and more without any complex rules. It also enables you to turn any site into a structured database of relevant data types in just minutes.
Compared to other existing AI data extraction tools, Diffbot stands out for its wide range of data types it can handle and its seamless integration with the web's vast information landscape. It provides a more comprehensive and efficient way to harness web data for various AI-driven applications.
