DataHour: Web Scraping using Python Libraries

If you're looking to learn more about web scraping, you've come to the right place! In this session, we'll be sharing our technical knowledge on how to fetch data from both dynamic and static live websites, and how to use that extracted information for analysis.

Data web scraping, or website web scraping, is the process of automatically extracting data from websites. This technique is commonly used for data analysis, research, and automation purposes. With web scraping, you can collect data from various sources and use it to gain valuable insights, create new products or services, and make informed business decisions.

Overall, web scraping is a powerful technique for collecting and analyzing data from the web. With the right tools and techniques, you can extract valuable insights and gain a competitive advantage in your industry.

Prerequisites: The zeal for learning new technologies, and interest in the field of data science.

In this DataHour, we will introduce Mohit Sahu, a Data Engineer at TekSystem Global Services in Bangalore. Mohit holds a B.tech in Electrical and Electronics Engineering from AKTU and has completed PGP in Data Science and Engineering. With 5 years of experience in the corporate world, he has been involved in various aspects of data analysis and management, including designing and defining KPIs for the team, developing data pipelines on ETL tools, and building automated dashboards/trackers for effective and smooth business flow. Additionally, Mohit has been directly involved in critical business decisions and understands their real-time impact on the market, which helps him prepare for future strategies.