fycharts 2.0.0

A fully-fledged installable python package for extracting top 200 and viral 50 charts off of spotifycharts.com

fycharts

A fully-fledged installable python package for extracting top 200 and viral 50 charts off of spotifycharts.com

In a nutshell, the unofficial Spotify Charts API

CONTENTS

1. Installation
2. Sample
3. Functions for data extraction and the parameters they accept
4. Format for data returned
5. Supported country codes
6. Turbo-boosted recipe
7. Utilities you may find useful

INSPIRATION

This was built to fill the gap left when Spotify deprecated their official Spotify charts API. It arose as a needed crawler for the Spotify data analysis and machine learning project done here

INSTALLATION

pip install fycharts

SAMPLE USAGE

Say you want to extract top 200 daily charts for all time, all regions

myCrawler.py

from fycharts.SpotifyCharts import SpotifyCharts

api = SpotifyCharts()
api.top200Daily(output_file = 'top_200_daily.csv')

Run your program.

python myCrawler.py

Watch the terminal for helpful information.

FUNCTIONS AND PARAMETERS

For all the charts provided by Spotify, four functions exist:

1. top200Weekly
2. top200Daily
3. viral50Weekly
4. viral50Daily

All four functions take the following parameters:

Compulsory

1. output_file - CSV file to dump the data.

Optional

1. start - Start date of range of interest as string with the format YYYY-MM-DD

2. end - End date of range of interest as string with the format YYYY-MM-DD

3. region - Region of interest, as a country abbreviation code. 'global' is also valid

   region can also be a list of regions e.g. ["global", "us", "fr"]

   Refer to SUPPORTED COUNTRY CODES SO FAR below for accepted regions.

If not included, data is extracted for all dates, all regions

DATA RETURNED

The data extracted from spotifycharts.com is written to the output (usually a CSV file) with the following fields:

1. position - The song's position during that week or day
2. track name - Name of the song
3. artist - Name of artist
4. region - Region of the chart as a code
5. date - Date or range of dates of chart
6. spotify_id - Spotify track id
7. streams - Number of streams for that week or day. Only applicable to top 200 charts

SUPPORTED COUNTRY CODES SO FAR

ad	ca	dk	gr	is	mx	ph	sv
ar	ch	do	gt	it	my	pl	th
at	cl	ec	hk	jp	ni	pt	tr
au	co	ee	hn	lt	nl	py	tw
be	cr	es	hu	lu	no	ro	us
bg	cy	fi	id	lv	nz	se	uy
bo	cz	fr	ie	mc	pa	sg	vn
br	de	gb	il	mt	pe	sk	global

A RECIPE ON STERIODS

Take advantage of multithreading, you may write your code as follows:

myCrawler.py


import threading

from fycharts.SpotifyCharts import SpotifyCharts

def main():
    api = SpotifyCharts()

    a_thread = threading.Thread(target = api.top200Daily, args = ("top_200_daily.csv",), kwargs = {"start": "2020-01-03", "end":"2020-01-12", "region": ["global", "us"]})
    b_thread = threading.Thread(target = api.top200Weekly, args = ("top_200_weekly.csv",), kwargs = {"start": "2020-01-03", "end":"2020-01-12", "region": ["global", "us"]})
    c_thread = threading.Thread(target = api.viral50Daily, args = ("viral_50_daily.csv",), kwargs = {"start": "2020-01-03", "end":"2020-01-12", "region": ["global", "us"]})
    d_thread = threading.Thread(target = api.viral50Weekly, args = ("viral_50_weekly.csv",), kwargs = {"start": "2020-01-02", "end":"2020-01-12", "region": ["global", "us"]})

    a_thread.start()
    b_thread.start()
    c_thread.start()
    d_thread.start()


if __name__ == "__main__":
    main()

TAKE NOTE: DO NOT SHARE THE OUTPUT DESTINATION ACROSS THE FUNCTIONS i.e. each function should be writing to its own set of outputs

UTILITY FUNCTIONS

This library exposes some functions that you may find of use:

a. validDates(start, end, desired)

This function prints a list of valid dates for the kind of data you are interested in.

Parameters

1. start - Start date of range of interest as string with the format YYYY-MM-DD

2. end - End date of range of interest as string with the format YYYY-MM-DD

3. desired - A string specifying the kind of data desired

    Accepts:
        * top200Daily
        * top200Weekly
        * viral50Daily
        * viral50Weekly