The automated process of obtaining publicly accessible data from several websites is known as "web scraping." Web scraping is used to scrape data from several pages. Typically, the retrieved data is unstructured before being transformed into a format appropriate for usage in various applications.
Web scraping is faster than data copying and pasting manually. Depending on the strength and capability of the web scraping program, large volumes of data can be extracted with ease. Companies mostly utilize it to extract useful information from multiple web sources so they may make well-informed data-driven decisions.

These are a few use cases of how web scraping is used:

1.     Consumer Sentiment Analysis

2.   Lead Generation

3.   Data Enrichment

4.   Training Machine Learning Models

5.    Price Intelligence

6.   Financial Data Monitoring

7.    Market Research

8.   Job Market Analysis

9.   News Monitoring

In today's business environment, data extraction and web scraping are essential for gaining insights into competitors' strategies, customer demands, market gaps, product flaws, and industry trends to make informed strategic decisions and establish a strong market presence.

For more details, you can read our blog:  Use Cases of Web Scraping