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In this hands-on workshop hosted by Iván Sánchez, you'll learn how to harness the incredible power of Large Language Models (LLMs) to tackle your toughest scraping challenges.

Discover how Web Scraping API reduces infrastructure costs and automates resource allocation for efficient, scalable web scraping.

When choosing the best programming language for web scraping, several factors must be considered: ease of use, library support, performance, community size, and flexibility in handling various types of web content.

Discover key techniques to efficiently extract data from JavaScript-heavy websites.

XML is a powerful markup language that enables the representation of hierarchical data, making it perfect for scenarios where the relationships between data points need to be expressed explicitly

Discover the strengths and limitations of Selenium, Puppeteer, and Playwright for web scraping at scale.

In this article we show how AI-powered web scraping has become the fastest way to get data from the internet.

Find out how Python, with its rich ecosystem of libraries like BeautifulSoup, Scrapy, and Selenium, has become a popular choice for large-scale web scraping.

Combining screen scraping with traditional web scraping tools like Zyte API can be highly effective for complex data extraction.

Datacenter proxy is a proxy management system built on top of a pool of datacenter IPs used for web scraping.

Whether you're scraping a simple webpage or navigating a complex multi-step process, leveraging sessions is key to ensuring success.

A web scraping API is a full-stack tool designed to automate the collection of data from websites, from managing proxies to extracting data.