Explore resources by topic or category

Despite their benefits, web scraping APIs are sometimes misunderstood. So, let’s debunk some of the most common myths.

The emergence of hybrid DaaS/SaaS models is a logical response to the complex realities of modern data needs.

Scaling your business’ web data gathering – acquiring, monitoring and storing a growing amount of data from a growing number of sources over time – requires holistic planning.

Engagements with data suppliers break down when buyers don’t have a clear project concept. Understanding and articulating your needs is paramount. Meet the three types of data buyers. Which one are you?

The story of Scrapy reflects the broader evolution of the web itself and the ongoing quest to harness its ever-expanding ocean of information.

By leveraging the power of LLMs to reason about web page structures and data relationships, we can automate tasks that previously required significant human intervention.

This article reveals the approach that makes once-unviable web data projects possible.

Discover how AI, data marketplaces, and economies of scale are making web data more accessible than ever.

Discover how to tackle the web scraping dilemma with strategies to balance cost, time, and quality for effective data extraction.

Learn how successful open-source projects balance community value with sustainable growth. Industry leaders share insights on monetization, maintenance, and building thriving communities.

Discover how to tackle the web scraping dilemma with strategies to balance cost, time, and quality for effective data extraction.

This report examines how data engineers, developers, and industry leaders can navigate shifting challenges by embracing adaptability and staying aligned with constant change.