What is Web Scraping?

Web scraping is the process of automatically reading data from a web page and converting it into a table, JSON, database record, or report. The goal is to turn information that a person would copy manually in a browser into a repeatable, auditable data flow.

How It Works

In simple scraping jobs, the page HTML is fetched with an HTTP request and selectors extract fields such as product name, price, date, or link. For pages rendered with JavaScript, a headless browser can automate a real browser environment. Results are normalized, deduplicated, and written to a target system.

When available, an official API integration should be preferred over scraping because it is more stable, authorized, and structured. If scraping is necessary, teams should review robots.txt, terms of service, copyright, personal data, and rate limits.

Business Use

Web scraping is used for price monitoring, stock tracking, competitor catalog analysis, listing aggregation, news monitoring, and supplier data consolidation. For example, a company with a dealer network can collect public product prices daily and track changes in a BI dashboard.

The main operational risk is that the target site’s HTML changes. Without robust selectors, failure alerts, retries, proxy management, and data quality checks, a scraping flow can break silently.