The motivation behind this project is to acquire data related to coffee shops in Riyadh city in Saudi Arabia.
This data was obtained from Google search engine via web scraping. This data can be used for analysis and opportunity findings. However, the data is not enough for an efficient machine learning solution since there is a raw 200 records or less.
We use this Google search engine to collect coffee shops details in Riyadh. Records include:
- shop name
- rating
- number of ratings
- price ( inexpensive - expensive - .... )
- shop type (coffee shop - cafe)
- key words (casual - cosy - group - ....)
- address
- reviews
The requirements.txt file contains any Python dependencies. You can install them by running this command:
pip3 install -r requirements.txt
- BeautifulSoup - Library to scrape information from web pages (HTML or XML parser).
- selenium - Automated web browser interaction from Python
If you want to view the data directly, you can find it on Kaggle dataset