Web Datasets
Web datasets enable researchers, analysts, and developers to train models or conduct analysis using real-world data collected from public sources.
Amazon Dataset Comparison 2026: Bright Data, Oxylabs, Grepsr & Exellius
Bright Data and Oxylabs’ Amazon datasets are recognized as market leaders due to their scalable product archives. The industry has diversified into specialized niches. Exellius provides verified decision-maker contacts for B2B sales outreach, offering capabilities that exceed those of standard scrapers. Grepsr delivers a managed service focused on historical trend analysis.
The Best E-Commerce Dataset Providers of 2026
Companies like Bright Data, Oxylabs, Exellius, and Grepsr offer different ways to get e-commerce data. Some charge $50,000 for a single dataset, while others provide low-cost monthly plans or real-time APIs. This guide compares the pricing structures, features, and delivery methods of these providers.
Top LinkedIn Dataset Providers: Company & Profile Data
LinkedIn datasets can be categorized into profile data and company data: This article compares Bright Data, Coresignal, and People Data Labs (PDL), focusing on their offerings, pricing models, and strengths.
5 Best Social Media Datasets in 2026
We compared five leading social media data providers, focusing on the types of social data they offer and the platforms they include. Our evaluation finds vendors fall into two groups: those offering content-level social media data (posts, comments, engagement) and those providing profile- or identity-level data (social handles, professional profiles, company info).
Best Glassdoor Datasets in 2026
Glassdoor datasets offer valuable insights into job listings, employer reviews, and salaries, but they are not the exclusive source of labor-market or employer-brand data. In this article, we review the four top providers of Glassdoor datasets: Bright Data, Coresignal, Oxylabs, and Actowiz.
Sentiment Analysis Datasets in 2026
Sentiment analysis is a great way to understand the customers’ feelings toward a company and to see if they are associated with sales, investments, or agreements. Ensuring a reliable sentiment analysis depends on many factors, and one of its building blocks is the dataset used to train the models.