What is Web Scraping?

Web scraping is the automated process of extracting information from websites. Instead of a person copying data by hand, a program fetches web pages and parses their HTML to pull out specific pieces — prices, contact details, product listings, reviews, or article text — turning unstructured page content into structured data like a CSV or JSON file that can be analyzed or loaded into other systems.

A typical scraper works in stages: it sends an HTTP request to a URL (often setting a user-agent header), receives the HTML response, and then parses that HTML to locate the target data using selectors, regular expressions, or a DOM parser. For sites that render content with JavaScript, scrapers may use a headless browser to execute the page before extracting data, since the raw HTML alone would be incomplete.

Web scraping powers legitimate and valuable work: price monitoring, market and academic research, lead generation, SEO audits, aggregating public data, and building datasets. Many of the same parsing skills — extracting emails, URLs, phone numbers, or structured fields from raw text — apply whether you are processing scraped pages or cleaning an exported file.

Scraping carries technical and ethical responsibilities. Respect robots.txt and site terms, avoid overwhelming servers with rapid requests, identify your bot honestly, and be careful with personal data and copyright. Sites deploy defenses like rate limits, CAPTCHAs, and IP blocking against abusive scraping. Responsible scraping focuses on public data, throttles request rates, and prefers official APIs when they are available.