This tool enables you to download Amazon user reviews by category from the extensive McAuley-Lab/Amazon-Reviews-2023 dataset. Designed for handling very large datasets, it is ideal for projects involving data analysis, research, or advanced Python workflows.
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This program was developed as part of the course "Rethinking Python Pandas: 5x-100x Speed & Maximum Flexibility with Python Ibis" by Peak Python.
Key Features:
- Download product category-specific reviews.
- Defaults to a maximum of 10M rows of CSV output. Change the function defaults if you want to export all rows.
- Ensure you have enough disk space for large datasets.
- Python 3.8+ is recommended for optimal performance.
- Create Download Directories:
- Prepare directories where the data will be saved.
- Update Configuration:
- Modify the
core_pathvariable in the script to point to your directories.
- Modify the
Run the program to initiate the download. Each category may result in a large dataset, so adjust your resources accordingly.
Feel free to reach out for support or to share feedback about your experience with this program! 🚀