Task1 - Web Scraping
🛠Task:
- Web Scraping Tata Cars Data from AckoDrive (https://ackodrive.com/)
🎯 Data Points to Scrape:
Car Make – Brand or manufacturer of the car.
Car Model – Specific model name.
Body Type - Type of car body
Model Seat - Number of seats
Model variant - Specific version of the model
Price – Listed selling price of the car.
Fuel Type – Petrol, Diesel, Electric, etc.
Transmission Type – Automatic or Manual.
Color Variants – Number of available color options for that model.
Location Details – Location of the listed car.
🧰 Tools & Libraries Used:
requests – For sending HTTP requests and retrieving webpage HTML.
BeautifulSoup (from bs4) – To parse and extract elements from HTML.
pandas – To store the extracted data in a DataFrame and export it to CSV.
urllib.parse – For parsing and validating URLs
🔗 Code Link: https://github.com/PratikDavidson/evoastra-internship/tree/main/Day-1
