This is a repository with a data scraper of Community Mobility Reports and reports in different formats.
pip install -r requirements.txt
python source.py
├── README.md <- The top-level README for developers using this project.
├── data
│ ├── PDF files <- PDF files which scraped from Google site of Community Mobility Reports
│
├── jupyter notebook
│ ├── Scraper of Google COVID-19 Community Mobility Reports.ipynb <- Jupyter notebook with a scraper
│ ├── codes.csv <- table with 2-letter codes of countries
│ ├── mobility_*.xlsx/.csv <- scraped reports in different formats
│
├── codes.csv <- table with 2-letter codes of countries
│
├── mobility_report_US.csv <- detailed scraped report for the US in CSV format
│
├── mobility_report_regions.csv <- detailed scraped report of regions in CSV format
│
├── report_source.txt <- files on which current scraped reports were created
│
├── requirements.txt <- the requirements file for reproducing the code
│
└── source.py <- Source code for use in this project.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
- Optimize parse flow
- Add feature of scraping time-series data from graphs
- Dashboard for the US-1
- Dashboard for the US-2
- Dashboard for the world
- [Here can be your great dashboard/visualization]