What is web scraping?

Web scraping is an automated technique for extracting data from websites and converting it into structured formats like spreadsheets or databases, offering a more efficient alternative to manual data collection. This process involves sending HTTP requests to websites, parsing the HTML responses to create a DOM tree, and using selectors to extract specific data elements, which is then cleaned and stored. Various tools and methods, such as browser extensions, programming libraries, cloud-hosted crawlers, headless browsers, and AI-powered document parsers, cater to different skill levels and requirements for web scraping tasks. While web scraping is pivotal across industries for applications like price monitoring, market research, and AI training, it faces challenges like legality, compliance, and evolving anti-scraping defenses from websites. Traditional scrapers often struggle with maintaining efficiency and quality for AI applications, prompting a shift towards structured, verified web data solutions like evidence-based search APIs, which offer more reliable, semantically structured, and verifiable information tailored for large language models.

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