fycharts 4.0.0

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

CONTENT

1. Inspiration
2. Installation
3. Sample
4. Design philosophy
5. The CLI
6. API Functions
7. Data returned
8. Country codes
9. A note about dates
10. Turbo-boosted recipe
11. A utility method
12. Changelog

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

fycharts exposes both a set of functions (an API), and a CLI.

INSTALLATION

pip install fycharts

Note: The CLI is only available for fycharts>=4.0.0

SAMPLE USAGE

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

API

myCrawler.py

from fycharts.SpotifyCharts import SpotifyCharts

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

Then: python myCrawler.py

CLI

fycharts top200Daily --csv top_200_daily.csv

---

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

Note: This works only for fycharts>=3.0.0

API

myCrawler.py

from fycharts.SpotifyCharts import SpotifyCharts
import sqlalchemy

api = SpotifyCharts()
connector = sqlalchemy.create_engine("sqlite:///spotifycharts.db", echo=False)
api.viral50Daily(output_file = "viral_50_daily.csv", output_db = connector, webhook = ["https://mywebhookssite.com/post/"], start = "2019-01-01", end = "2019-01-31", region = ["us", "global"])

Then: python myCrawler.py

CLI

fycharts viral50Daily --csv viral_50_daily.csv --webhook https://mywebhookssite.com/post/ --start 2019-01-01 --end 2019-01-31 -r us -r global

Note: The CLI cannot write to a DB. You can however pass multiple webhooks to POST to:

-w https://mywebhookssite.com/post/1 -w https://mywebhookssite.com/post/2

---

DESIGN PHILOSOPHY

The API was designed and published first (fycharts<4.0.0) then the CLI was introduced in v4.0.0. The CLI is merely a convinient wrapper over the API.

This means that the rules that apply at the API level, also apply at the CLI level

THE CLI in a nutshell

fycharts chartsName [OPTIONS]

The charts are:

• top200Daily
• top200Weekly
• viral50Daily
• viral50Weekly

These invoke the API functions exposed by the library

The options are:

-s, --start         Start of date range (YYYY-MM-DD)
-e, --end           End of date range (YYYY-MM-DD)
-r, --region        Region(s) to get the chart for
-c, --csv           Output CSV file (only one)
-w, --webhook       Output webhook(s)

fycharts --help for the MAN page

The CLI has been tested on Ubuntu 18.04LTS (Bionic Beaver) and Windows 10 Home v1909

API functions

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:

Ouput options

1. output_file - CSV file to write the data to (Compulsory for fycharts<3.0.0)

2. output_db - A connector object for any database supported by SQLAlchemy (only available in fycharts>=3.0.0)

3. webhook - A HTTP endpoint (or a list of them) to POST the extracted data to (only available in fycharts>=3.0.0)

   Create webhooks for testing here: https://webhook.site/ or here: https://beeceptor.com/

Parameters (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 (or a list of regions e.g. ["global", "us", "fr"]) of interest, as a country abbreviation code. "global" is also valid

   Refer to COUNTRY CODES below for supported regions.

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

DATA RETURNED

The data extracted from spotifycharts.com is written to the output 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. Streams - Number of streams for that week or day. Only applicable to top 200 charts

5. date - This varies

   For instance if you set 'start = 2020-01-03' & 'end = 2020-01-15'

   For daily charts -> YYYY-MM-DD e.g 2020-01-03

   For top 200 weekly chart -> week_start_date--week_end_date e.g 2020-01-03--2020-01-10

   For viral 50 weekly chart -> week_start_date--week_start_date e.g 2020-01-03--2020-01-03

6. region - Region of the chart as a code

7. spotify_id - Spotify track id ('id' for fycharts < 3.0.0)

Note: When writing to a db, fycharts is setup to write:

1. viral50Daily to the table `viral_50_daily`

2. viral50Weekly to the table `viral_50_weekly`

3. top200Daily to the table `top_200_daily`

4. top200Weekly to the table `top_200_weekly`

Note: To REST endpoints, a JSON payload is sent with the structure:

{
  "chart": "top_200_daily",
  "data": [
    {
      "Position": 1,
      "Track Name": "The Box",
      "Artist": "Roddy Ricch",
      "Streams": 2278155,
      "date": "2020-01-03",
      "region": "us",
      "spotify_id": "0nbXyq5TXYPCO7pr3N8S4I"
    },
    {
      "Position": 2,
      "Track Name": "Yummy",
      "Artist": "Justin Bieber",
      "Streams": 1863557,
      "date": "2020-01-03",
      "region": "us",
      "spotify_id": "41L3O37CECZt3N7ziG2z7l"
    },
  ]
}

COUNTRY CODES

Only the following country codes are supported 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

ABOUT DATES

The start date of the range you're interested in, is very specific for each chart. If you enter an invalid date, you'll be prompted with a list of suggestions and given a choice whether to use fycharts' suggestion or your own.

If using multithreading to run multiple functions, the prompt comes up but is non-blocking. You can still respond

A RECIPE ON STERIODS

To fully take advantage of multithreading, you may write your code as follows:

myCrawler.py

import sqlalchemy
import threading

from fycharts.SpotifyCharts import SpotifyCharts

def main():
    api = SpotifyCharts()
    connector = sqlalchemy.create_engine("sqlite:///spotifycharts.db", echo=False)
    hooks = ["https://mywebhookssite.com/post/", "http://asecondsite.net/post"]

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

A UTILITY FUNCTION

The API exposes a function that you may find of use:

1. 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
   

CHANGELOG

This changelog loosely follows semantic versioning

4.0.0 27th Sept 2020

Fixed

• A bug in reading in a list of regions

Added

• CLI functionality to fycharts

3.1.0 4th Feb 2020

Added

• Identifying info to payload POSTed to webhook

3.0.0 4th Feb 2020

Added

• Accepting a DB connector to write data to db
• Accepting a list of REST endpoints to post data to

Fixed

• A bug in file validation

Changed

• The Spotify track id column name from 'id' to 'spotify_id'

2.0.1 31st Jan 2020

Fixed

• A bug in setting the column titles when multiple regions are requested

2.0.0 30th Jan 2020

Added

• Multithreading to increase crawling speeds
• Custom exceptions
• A utility method to print valid dates
• Accepting a list of regions

Improved

• The documentation

1.2.0 5th April 2019

• Improved date verification

1.0.1 5th Jan 2019

• Renamed the project to fycharts

1.0.0 26th Dec 2018

• Released project named "Spotify-Charts-API"