Google Colab Web Scraper Development

In google colab Develop a working web scraper & scraper should:
Collect structured data (e.g., titles, dates, prices, comments)
Navigate across pages if necessary (handle pagination)
Parse HTML content using tools like BeautifulSoup or Scrapy

Begin the data cleaning and storage process by:
Handling missing or null values
Removing duplicate records
Standardizing formats (e.g., dates, text case)
Saving your cleaned dataset in a CSV file

Web Scraper Functionality
What data are you collecting?
How does your scraper navigate the site?
What methods or tools are you using to extract and parse the content?
Challenges Encountered
Did you run into any technical issues like CAPTCHAs, login barriers, pagination, or JavaScript-rendered content?
How did you address these challenges?
Preliminary Insights
Share any patterns, trends, or interesting findings you’ve noticed in your scraped data so far.

Submit the following in a single compressed (.zip) folder:
Your Python script (.py)
Your cleaned dataset (.csv)