Project Link with Notes: Notion Project Notes 📚
This project aims to determine the cheapest Basic Food Basket in Paraguay by performing web scraping on the websites of the top five supermarkets in the country. The final results and comparison are displayed on the project's web page.
- Python: The core programming language used for developing the web scraping scripts and data analysis.
- Web Scraping: Techniques to extract data from supermarket websites. Libraries like BeautifulSoup and Requests are utilized for this purpose.
- Pandas: Used for data manipulation and analysis, helping to organize and process the scraped data efficiently.
- Numpy: Applied for numerical operations and data handling within the analysis.
- Data Analysis: Involves evaluating and interpreting the scraped data to determine the most cost-effective supermarket.
- Flask: Utilized to create a web application that displays the results of the analysis.
The project involves scraping the product prices of basic food items from the websites of the top five supermarkets in Paraguay. The scraped data is analyzed to compare the prices of the Basic Food Basket across these supermarkets.
Here is a visual representation of the final price comparison of the Basic Food Basket:
Additionally, you can see the detailed breakdown of prices:
- Web Scraping: Extracting data from supermarket websites using libraries like BeautifulSoup and Requests.
- Pandas: For data manipulation and cleaning, enabling efficient data analysis and processing.
- Numpy: Handling numerical operations and calculations within the data analysis process.
- Python: The primary programming language for writing scripts and developing the project.
- Flask: Framework used to develop the web application to present the analysis results.
All technologies and libraries used are listed in the requirements.txt file for easy setup and installation.
Feel free to reach out for any questions or further information:
- Twitter: @nicoelingeniero