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AI-powered web scraping is transforming data collection by making it faster, smarter, and highly scalable. Learn how it overcomes traditional scraping challenges and unlocks new opportunities for businesses across industries.

When it comes to command-line tools for HTTP requests, few are as versatile and powerful as curl. Loved by developers and system administrators alike, curl makes fetching web resources straightforward.

Data parsing for web scraping is the process of analyzing the aforementioned data collected from web scraping and molding it into a structured, more organized format.

Image scraping means using a program to automatically extract image files from websites. This process replaces what would otherwise be a tedious manual task of clicking and saving images one by one.

This article shares three strategies to operationalize large-scale browser automation yourself and what alternatives exist.

Go (Golang)—a language built for speed, efficiency, and concurrency. Whether you’re scraping large datasets, handling high-throughput requests, or managing complex site interactions, Golang will deliver.

In this article, we’ll explore the sophisticated techniques that help manage modern bot defenses, why they matter, and how Zyte API gives you an edge in maintaining seamless, efficient, and cost-effective data extraction.

Discover a comprehensive guide on managing bans in web scraping, from basic strategies to advanced techniques, ensuring efficient and ethical data extraction.

In this guide, we’ll break down everything you need to know about web scraping—from the basics and useful tools to advanced tips and the right way to scrape websites

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