Streams - Number of streams for that week or day. Position - The song's position during that week or day The data extracted from is written to the output with the following fields: If not specified, data is extracted for all dates, all regions DATA RETURNED Refer to COUNTRY CODES below for supported regions. ) of interest, as a country abbreviation code. Region - Region (or a list of regions e.g. Start - Start date of range of interest as string with the format YYYY-MM-DDĮnd - End date of range of interest as string with the format YYYY-MM-DD Webhook - A HTTP endpoint (or a list of them) to POST the extracted data to (only available in fycharts>=3.0.0)Ĭreate webhooks for testing here: or here: The API was designed and published first (fycharts=3.0.0) You can however pass multiple webhooks to POST to: viral50Daily ( output_file = "viral_50_daily.csv", output_db = connector, webhook =, start = "", end = "", region = )įycharts viral50Daily -csv viral_50_daily.csv -webhook -start -end -r us -r global create_engine ( "sqlite:///spotifycharts.db", echo = False ) api. py from fycharts.Spotif圜harts import Spotif圜harts import sqlalchemy api = Spotif圜harts () connector = sqlalchemy. Note: This works only for fycharts>=3.0.0 API m圜rawler. Or you want viral 50 daily charts for January 2019 in the us and globally, to be written into a csv file and a SQLLite db top200Daily ( output_file = "top_200_daily.csv" )įycharts top200Daily -csv top_200_daily.csv py from fycharts.Spotif圜harts import Spotif圜harts api = Spotif圜harts () api. Say you want to extract top 200 daily charts for all time, all regions: API m圜rawler. Note: The CLI is only available for fycharts>=4.0.0 SAMPLE USAGE It arose as a needed crawler for the Spotify data analysis and machine learning project done hereįycharts exposes both a set of functions (an API), and a CLI. This was built to fill the gap left when Spotify deprecated their official Spotify charts API. In a nutshell, the unofficial Spotify Charts API CONTENT A fully-fledged installable python package for extracting top 200 and viral 50 charts off of
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