Web Scraping Using Scrapy

Event Date:12th April 2025 11:30 AM – 12:20 PM

Brief Description:

The "Web Scraping Using Scrapy" workshop, organized by the School of Computer Applications and Technology at Galgotias University, took place on 12th April 2025. The event aimed to introduce MCA students to web scraping and the Scrapy framework, focusing on data extraction techniques. The session covered the basics of web scraping, ethical practices, and practical implementation using Scrapy. It was led by coordinators Dr. Pratima Singh, Mr. Rajesh Sharma, and Dr. Soni Chaurasia, with Dr. Vineeta Khemchandani, Dean (SCAT), as the convener. The workshop provided students with hands-on experience and insights into real- world applications of web scraping.

Detailed Description:

Overview:

The School of Computer Applications and Technology at Galgotias University organized a workshop on "Web Scraping Using Scrapy" for MCA students on 12th April 2025. The event aimed to introduce students to the fundamentals of web scraping and provide hands-on experience using the Python-based Scrapy framework.

Objective:

The main objective of the session was to:

Familiarize students with the concept of web scraping. Demonstrate how to extract data from websites efficiently. Guide students on setting up and using the Scrapy framework.

Show practical applications of web scraping in real-world projects.

Session Highlights:

The session began at 11:30 AM with a warm welcome to the participants.

The instructor provided an introduction to web scraping, covering its importance, ethical considerations, and real-life use cases.

A detailed walkthrough of the Scrapy framework was conducted, demonstrating its installation, spider creation, and data extraction techniques.

The session was interactive, allowing students to ask questions and participate in discussions.

Real-world examples were shown to enhance understanding and engagement.

Impact:

The workshop was a great success and received positive feedback from the students. It helped them understand the powerful capabilities of Scrapy and its role in data analysis and automation. The hands-on component of the session ensured that participants could apply the concepts in practice, sparking further interest in Python-based data science tools.

Conclusion:

The "Web Scraping Using Scrapy" event was an informative and engaging experience for all attendees. It not only introduced students to a vital data extraction tool but also encouraged them to explore further avenues in data science and automation. The efforts of the coordinators and the enthusiastic participation of the students made the event fruitful and impactful.

Department Name: School of Computer Applications and Technology [SCAT]

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