https://github.com/svetlanam/costa-coffee-backend
Data cleaning and transformations from website, xml and Google Maps API as an input for the mobile app
https://github.com/svetlanam/costa-coffee-backend
costa-coffee data-cleaning data-transformation etl google-maps-api json json-api jupyter-notebook mobile-app python3 web-scraping xml xml-feed
Last synced: 2 months ago
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Data cleaning and transformations from website, xml and Google Maps API as an input for the mobile app
- Host: GitHub
- URL: https://github.com/svetlanam/costa-coffee-backend
- Owner: SvetlanaM
- Created: 2022-04-06T02:45:52.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2022-04-06T02:46:57.000Z (about 4 years ago)
- Last Synced: 2026-03-31T06:30:41.058Z (3 months ago)
- Topics: costa-coffee, data-cleaning, data-transformation, etl, google-maps-api, json, json-api, jupyter-notebook, mobile-app, python3, web-scraping, xml, xml-feed
- Language: Jupyter Notebook
- Homepage:
- Size: 8.79 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Costa Coffee backend for the mobile app
Simple Python scripts, that:
1. Scrape data from Costa Coffee website
2. Parse data from Costa Coffee XML endpoints
3. Join data from Google Maps API
4. Prepare JSON endpoints with transformed data
5. Data cleaning and transformation
📝 **Data sources**
1. Articles from website
2. List of all coffee shops
3. List of all express
4. Information about products