Web Data Scraping
Web data scraping refers to the methodologies, and tools for programmatically extracting structured data from websites, such as DOM parsing, API interaction, and headless browser automation.
Web Scraping vs Data Mining: Why the Confusion? in 2026
Web scraping and data mining are sometimes confused with each other because they are both linked to extracting value from something that is valuable only when processed. However, the definitions are quite different, and not understanding the difference can cause not realizing how these processes can create value for businesses.
ChatGPT Web Scraping: Tutorial & Applications in 2026
ChatGPT is an easy way to bring AI to web scraping, saving developers from manual parsing work that requires constant updates. Using LLMs is becoming one of the best web scraping practices.
Scraping Google Trends for Real-Time Insights in 2026
Google Trends is an excellent tool for businesses and content creators who want to stay ahead of customer behavior, spot emerging trends, and make data-driven decisions. This guide explains what Google Trends data is, the legality of scraping Google Trends, and use cases for leveraging Google Trends data.
Top 18 Web Scraping Applications & Use Cases in 2026
We have explained what a web crawler is and why web scraping is crucial for companies that rely on data-driven decision-making. Web scraping is important because regardless of industry, the web contains information that can provide actionable insights for businesses to gain an advantage over competitors.