Honeybee Digital – Data Science Internship Assignment

This repository contains my submission for the Data Science Intern assignment at Honeybee Digital.
The project focuses on web scraping, API-based data collection, data cleaning, and logical data mapping.

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Tasks Overview

Task 1: MagicPin Gym Scraping

• Scraped gym listings in Ahmedabad from MagicPin
• Cleaned and structured data with fields:
  • Gym Name, Address, Area, City, State
  • Phone Number, Timings (if available)
  • Reference URL
• Saved final dataset as CSV (80–100+ entries)

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Task 2: Amazon Category & Product Scraping

• Scraped selected categories and subcategories from Amazon
• Extracted:
  • Category, Subcategory
  • Product Title, Price, Rating
  • Product URL
• Implemented basic anti-blocking practices (user-agent rotation, delays)

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Task 3: OpenStreetMap Overpass API

• Used Overpass API to retrieve tourist attractions
• Extracted:
  • Name, Type, Latitude, Longitude
• Converted API response into a clean CSV dataset

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Task 4: Research Data Mapping

• Mapped keywords and URLs to:
  • Category
  • Sub-Category
• Followed structured mapping guidelines based on keyword intent and URL context
• Provided explanation of mapping logic

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Tools & Technologies Used

• Python
• Pandas, NumPy
• BeautifulSoup
• Selenium
• Requests
• OpenStreetMap Overpass API
• Jupyter Notebook

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Notes

• All datasets contain at least 80–100 entries, as required.
• Data has been cleaned and structured for clarity and consistency.
• Ethical scraping practices were followed.
• Referenced are mentioned, if used.

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👤 Author

Jahnavi Agrawal
B.Sc. Computer Science & Mathematics