Web scraping

Deploy automated bots to fetch, parse, and structure vast datasets (e.g., prices, reviews) from public web pages at scale.

Web scraping is the automated extraction of data from websites using specialized software (bots or spiders). This process involves sending an HTTP request, receiving the HTML, and then parsing that code to isolate target data points: product prices, contact information, or news headlines. Developers frequently use Python libraries like Scrapy or Beautiful Soup to build these scrapers. The output is structured data, typically in CSV or JSON format, enabling high-value applications like competitive price monitoring across 500+ e-commerce sites or large-scale market research aggregation. We leverage this technology to turn unstructured web content into actionable business intelligence.

https://en.wikipedia.org/wiki/Web_scraping