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# Spotify Webscraper Project - [See it Deployed](https://project-2-spotify.herokuapp.com/)
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This project uses Google Chrome's headless web browsing via [Puppeteer](https://developers.google.com/web/tools/puppeteer) and Node.js to scrape the monthly listening info from all ~4000 unique Spotify genres from [Every Noise at Once](http://everynoise.com/) (Website which we gained inspiration from, shout out to **Glenn McDonald**), then we use the top two artists from each genre to populate the monthly listening info from all genres worldwide using [Spotify's Web Player](http://open.spotify.com) and scraping each Artist's pages listening data. This data is Then stored in a MySql database and using Third Normal Form we can visualize the monthly listening data from every genre on Spotify worldwide, at once on the website using Mapbox and GEOJSON data. See the gif below for a quick demo or visit the Deployed Site.
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This project uses Google Chrome's headless web browsing via [Puppeteer](https://developers.google.com/web/tools/puppeteer) and Node.js to scrape the monthly listening info from all ~4000 unique Spotify genres from [Every Noise at Once](http://everynoise.com/) (Website which we gained inspiration from, shout out to [Glenn McDonald](https://twitter.com/glenn_mcdonald)), then we use the top two artists from each genre to populate the monthly listening info from all genres worldwide using [Spotify's Web Player](http://open.spotify.com) and scraping each Artist's pages listening data. This data is Then stored in a MySql database and using Third Normal Form we can visualize the monthly listening data from every genre on Spotify worldwide, at once on the website using Mapbox and GEOJSON data. See the gif below for a quick demo or visit the Deployed Site.
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![](SpotifyGenreMapGif.gif)
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