Crowdfunding datasets

Web Robots

2016-03-01

This dataset consists of large-scale web scraping projects that provide publicly available datasets of e-commerce product listings, reviews, pricing, and other related data from various sources such as Kickstarter and Indiegogo. These datasets are used for data mining, analysis, and machine learning applications, enabling users to explore trends in product performance, customer sentiment, and pricing strategies across multiple industries. Data collection is performed monthly, ensuring that the datasets remain up-to-date with the latest project information. ​The initial dataset release included data on approximately 91,500 Indiegogo projects. The dataset has been updated monthly since May 2016. ​As of the latest update, the Kickstarter dataset includes information on all current and historic projects, starting in March 2016. Each dataset entry includes the following key variables:

• Project ID: A unique identifier for each project.​

• Title: The name of the project.​

• Category: The category under which the project is listed (e.g., Technology, Art).​

• Creator: The name of the project creator.​

• Goal: The funding goal set by the creator.​

• Pledged Amount: The total amount pledged by backers.​

• Backers: The number of backers supporting the project.​

• Launch Date: The date when the project was launched.​

• Deadline: The funding deadline for the project.​

• Status: The current status of the project (e.g., active, successful, failed).