WPRBIFY

WPRBify is a Python script (wprbify.py) that allows users to quickly & easily convert a WPRB playlist into a Spotify playlist.

And when I say quickly, I mean quickly: in my experience, this script can process a 3-hour, 40+ song playlist in about 1 minute!

Once properly configured on your computer, this script can be executed on the command line via:

python wprbify.py <input_source> "<playlist_name>"

Argument	Description
`<input_source>`	A WPRB playlist URL^* or a file path to WPRB playlist saved as an HTML file.
`<playlist_name>`	The name of the Spotify playlist you'd like to create.

Don't forget the quotation marks ("") around <playlist_name>. They're easy to miss, but the script won't run without them!

^* ^{_{Technically, this script will work with any playlist URL found on Spinitron's website.}}

Overview

How does this WPRBify work?

Well, in the broad strokes, it:

Extracts data from a WPRB playlist.
Creates a new Spotify playlist.
Searches Spotify's music library using the extracted WPRB playlist data.
Adds matching tracks to the new playlist.
Outputs a list of tracks it was unable to add to the new playlist.

It's probably easier for me to show you how this works rather than tell you.

Here's a screen recording of me using WPRBify to process a recent (2023-07-30) Princeton Blue Ribbon playlist:

screen_recording.mp4

Pretty cool, right? (And yes, Smog's Supper is an amazing album!

As you may have noticed, many of the playlist tracks processed by this script were automatically added to the Spotify playlist.

That's because this script only asks for user input when it can't find an exact match for a WPRB playlist track in Spotify's music library.

When this happens, the script generates a table of Spotify search results (visible at 00:20 & 00:38 in the screen recording), rank-ordered by a similiarity score, & asks the user to select which track they'd like added to the playlist.

Sometimes WPRB tracks simply aren't available on Spotify, in which case none of the tabulated search results will match up with a WPRB playlist track. Here, the user has the option to simply skip the track & the script will continue processing the playlist.

In the highly unlikely event a search of Spotify's music library returns no results, the script will automatically skip the WPRB playlist track & continue processing a playlist without any input from the user.

The script also keeps tabs on any WPRB playlist tracks it hasn't added to a Spotify playlist. If any such tracks exist, the script outputs a text file when it finishes running containing these tracks' data (i.e. song, artist, album).

You're free to do anything you like with this text file - including deleting it - but I recommend using it to manually search Spotify's music library & confirm the missing tracks are, indeed, unavailable on Spotify. No computer program is perfect!

Again, this is a high level overview of the script's basic functionality. You can find more detailed information about WPRBify's inner workings in the Nerd Stuff For Nerds section.

About WPRB

I wrote this script for current WPRB listeners, but I'd be thrilled if it managed to bring even just one first-time listener into the WPRB fold. If you've never heard of WPRB, please read on!

WPRB 103.3FM is a community radio station located at Princeton University in Princeton, New Jersey. It has a long & rich history in the world of college radio, dating back to its founding in 1940. The station is known for its diverse & eclectic programming, as well as its devoted listener fanbase. (Indeed, some of us are such devoted listeners that we do crazy things in our spare time like write Python scripts to process WPRB playlists...).

Links

WPRB Website: Visit WPRB's official website of to explore its history, schedule, DJ profiles, & more.
WPRB's Spinitron Account: Check out WPRB's Spinitron account to view playlists & track information for recent broadcasts.
WPRB Livestream: Listen to WPRB's current broadcast live on the interwebs!

Step-by-Step Instructions On How To Set Up WPRBify

I didn't just create WPRBify for myself; I hoped it would be something all WPRB listeners might find useful.

That said, I realize downloading, configuring, & running a script can be a daunting undertaking for people with little-to-no programming experience.

That's why I created this section for WPRB listeners with limited computer skills.

If this sounds like you, follow the step-by-step instructions below to get WPRBify up-and-running on your computer.

I. Set Up Spotify API Credentials:

Spotify's API ("Application Programming Interface") acts as a bridge between WPRBify & Spotify's vast music library & services. It allows the script to communicate with Spotify's servers, enabling functions like searching for tracks, creating playlists, & accessing other music-related information from your Spotify account. Think of an API as a set of rules & protocols that allow different software applications to communicate with each other. Sort of like Esperanto, but useful.

Before we tackle downloading & configuring the Python script itself, we'll need to set up your Spotify API credentials.

1. Sign Up For A Spotify For Developers Account

Head over to the Spotify for Developers website & sign up for a (free) Spotify for Developers Account.

If you already have a Spotify account, you can use the same credentials you use to log into Spotify to log into Spotify for Developers.

2. Navigate To The Spotify Developer Dashboard

Once you're logged in:

Click on the rounded-teal pill with your Spotify user profile picture & name (upper-right-hand corner of your browser window).

Select "Dashboard" to navigate to the Spotify for Developers Dashboard.

This is where you'll create & manage the Spotify API credentials your script needs to run properly.

3. Create A New Application

Once you've accessed the Spotify for Developers Dashboard:

Click on the rounded-blue pill labelled "Create app" (upper-right-hand corner of your browser window).

This will bring you to a "Create app" screen with four text inputs labelled "App name", "App description", "Website", & "Redirect URI".

Copy & paste the text in the "Text Input Value" column below into the corresponding text input.

Text Input Field Text Input Value (Copy & Paste)

App name WPRBify

App Description An app that uses WPRB playlists to generate Spotify playlists.

Redirect URI https://localhost:8888/callback

Check the box next to "I understand and agree with Spotify's Developer Terms of Service and Design Guidlines" (bottom of your browser window).

Click the rounded-blue pill labelled "Save" (bottom of your browser window).

4. Obtain Your Client ID & Client Secret

Once you've successfully created your app, you'll be taken to the app's "Home" screen.

We now need to locate the "Client ID" & "Client secret" keys that were auto-generated when you created your app:

Click on the white-rounded pill labelled "Settings" (upper-right-hand corner of your browser window).

This will take you to your app's "Basic Information" screen.

You should see "Client ID" - a long series of letters & numbers - prominently displayed in your browser.

Click on the "copy" icon (two square icons placed one-above-the-other) to the right of the Client ID.

This will copy your Client ID into your system clipboard.

Open a new document on your computer.

This new document can be anything you want: a text file, a Word doc, a Google doc, an e-mail to yourself, etc. It doesn't matter.

Paste your Client ID into your new document.

Click on the blue "View client secret" text positioned beneath your Client ID to reveal your Client secret.

Your Client secret is another long series of letters & numbers.

Click on the "copy" icon to the right of the Client secret.

This will copy your Client secret into your system clipboard.

Paste your Client secret into your new document.

Save your new document. Be sure you know where to find this document, because we'll need to reference it later!

II. Install Python & Required Python Libraries

WPRBify is written in Python, a popular & versatile programming language known for its simplicity & readability. In order to run this script, Python must be installed on your computer.

We'll also need to install some Python libraries on your computer. These libraries enhance WPRBify's functionality & handle tasks like web scraping, data processing, & interfacing with Spotify's API. Even if you already have Python installed on your computer, WPRBify will not run without these libraries.

We'll be doing all this via your computer's command line.

The command line, also known as the terminal or the shell, is a text-based interface that allows you to interact with your computer using text commands. If you have limited computer skills, you've probably never worked with the command line before. Don't panic! Although it may look intimidating, the command line is actually very easy to use once you get the hang of it.

1: Access The Command Line

Different operating systems access the command line in different ways.

Windows:

Press Win (or Win + R) to open the "Run" dialog bar.

Type cmd & press Enter/Return to open the Command Prompt.

Mac:

Press Command + Spacebar to open the Finder.

Type Terminal into the Finder.

Select the Terminal application from the list of search results.

2: Check To See If Python Is Already Installed On Your Computer

To perform this check:

Type python --version into the command line.

Press Enter/Return.

If Python is installed on your computer, you'll see a version number displayed on your screen. (On my Macbook, this command currently outputs Python 3.11.4.)

If Python isn't installed on your computer, you'll see an error message.

3: Install Python

If Python isn't installed on your computer, we can easily install it.

Windows:

Type python into the command line.

Click the "Get" icon after Windows opens the Python in the Microsoft Store.

Wait for Python to finish installing on your computer.

Repeat Step 2 to confirm Python was successfully installed.

Mac:

Go to the Python website: https://www.python.org/downloads/.

Download "the latest version for macOS" by clicking on the "Download Python #.##.#" button. (Currently "Download Python 3.11.4".)

Navigate to your Downloads folder.

Double-click on the downloaded package.

Follow the on-screen instructions to install Python.

Repeat Step 2 to confirm Python was successfully installed.

4: Install Python Libraries

Almost done setting up Python!

Now we need to install the aforementioned Python libraries.

Copy & paste the code snippet below into the command line:
pip install beautifulsoup4 inflection prettytable spotipy termcolor tabulate tqdm requests
Press Enter/Return.

Don't panic if your computer starts printing a whole bunch of text on your screen. You're not being hacked! This is exactly how your computer should behave when installing new Python libraries.

III. Download, Extract, & Move The `wprbify.py` Script

As you probably noticed, WPRBify "lives" here on GitHub. In order to properly configure & run WPRBify, though, we need to download a copy of it onto your computer.

1. Download The Script As A Zip file

Starting from WPRBify's GitHub repo (i.e. this webpage):

Scroll to the top of the script's GitHub repo/webpage.

Click on the green "<> Code" button (right-hand side of your browser window).

Select "Download ZIP".

This will download the script's GitHub repo to your computer as a Zip file.

2. Navigate To The Downloaded Zip File

Windows:

Open Window's File Explorer.

Navigate to the downloaded Zip file.

Mac:

Open Finder.

Navigate to the downloaded Zip file.

The exact location your browser downloaded the Zip file to may vary, depending on your browser, browser settings, & operating system.

If you've customized your browser to download files to a specific folder, the downloaded Zip file will be there; otherwise, the downloaded Zip file can likely be found in your computer's Downloads folder.

If you're really having trouble locating the downloaded Zip file, try searching your computer for: wprbify-main.zip.

3. Extract The Zip File

We now need to extract the WPRBify script from the downloaded Zip file.

Windows:

Right-click on wprbify-main.zip.

Select "Extract All".

Mac:

Double-click on wprbify-main.zip.

Once the downloaded Zip file has been "unzipped", you should see a new folder - wprbify-main - in your Finder / File Explorer window.

4. Move `wprbify.py` Into Your Documents Folder

To make it as easy as possible for us to configure & run WPRBify, we're going to move it into the Documents folder of your computer.

Windows:

Double-click on the wprbify-main folder to access its contents.

Right-click on the wprbify Python file.

Hover over "Send To".

Select "Documents".

Mac:

Double-click on the wprbify folder to access its contents.

Click on the wprbify.py Python file.

Select "Edit" from the Finder menu bar (top of your Finder window).

Select "Copy 'wprbify.py'".

Click on the "Documents" folder under "Favorites" (left-hand side of your Finder window) to open the Documents folder.

Select "Edit" from the Finder menu bar (top of your Finder window).

Select "Paste".

IV. Configure the `wprbify.py` Script

Now that we've downloaded WPRBify to computer & moved it into your Documents folder, we need to configure it so it will run properly.

1. Open The Script In A Text Editor

To configure the script, we first need to open it in a text editor. To keep things simple, we're going to use whichever basic text editor came pre-installed on your computer.

Windows:

Navigate to the Documents folder in File Explorer.

Right-click on the wprbify Python file.

Select "Open With".

Select "Notepad".

Mac:

Navigate to the Documents folder in Finder.

Click on wprbify.py.

Select "File" from the Finder menu bar (top of your Finder window).

Click on "Open With".

Select "TextEdit".

2. Add Your Spotify API Credentials To The Script

To access Spotify's API & interact with your Spotify account, we need to add your unique Spotify API credentials (i.e. your Client ID & Client Secret) to WPRBify.

Find these lines of code in the script:
# Spotify API credentials
CLIENT_ID = "YOUR_CLIENT_ID"
CLIENT_SECRET = "YOUR_CLIENT_SECRET"
Replace YOUR_CLIENT_ID with the Client ID we copied-and-pasted into a new document in Step I.4.

Replace YOUR_CLIENT_SECRET with the Client secret we copied-and-pasted into an new document in Step I.4.

Confirm you didn't delete the quotation marks ("") while updating the script.

Confirm there are no spaces separating the quotation marks ("") from your Client ID & Client secret.

3. Add An Output File Path To The Script

After it successfully runs, WPRBify outputs a text file containing any WPRB playlists tracks not included in the generated Spotify playlist.

Now we're going to configure the script so that this text file is output to the Documents folder on your computer.

Find these lines of code in the script:
# Set the output file path for text file containing tracks not found on Spotify.
OUTPUT_FILE_PATH = "YOUR_OUTPUT_FILE_PATH"
Windows:

Replace YOUR_OUTPUT_FILE_PATH with \\Users\\username\\Documents\\ where username is your Windows user name.

Mac:

Replace YOUR_OUTPUT_FILE_PATH with /Users/username/Documents/ where username is your Mac user name.

If you're unsure what your Windows or Mac user name is, it's very easy to look it up:

Open the Command Prompt / Terminal.

Type whoami into the command line.

Your Windows or Mac user name will appear on the screen.

4. Save The Updated Script

Now that we've updated the script, we need to save our updates.

Windows & Mac:

Click on "File".

Select "Save".

V. Run WPRBify

Maith thú! Now it's (finally) time to fire up WPRBify & create our first Spotify playlist!

1. Open Spotify.

It's very important Spotify is open & running on your computer the first time you run WPRBify.

If Spotify isn't already open on your computer, go ahead & open it now.

2. Navigate To A WPRB Playlist & Copy Its URL

To generate a Spotify playlist from a WPRB playlist, we need a WPRB playlist's URL.

Open your browser & navigate to the WPRB broadcast calendar.

Click on any past broadcast to open its playlist.

Navigate to the URL address bar (the very top of your browser window, where you type in web addresses).

Double-click on the playlist's URL (i.e. the string of text beginning https://playlists.wprb.com) to select/highlight it.

Right click on the highlighted URL & select "Copy".

3. Navigate To Your Updated Script On The Command Line

Windows:

Open the Command Prompt.

Type cd \Users\username\Documents into the command line, replacing username with your Windows user name.

Press Enter.

Mac:

Open the Terminal.

Type cd ~/Documents into the command line.

4. Run The Updated Script From The Command Line

Confirm Spotify is open on your computer.

Confirm that you've successfully logged into your Spotify account.

Type python wprbify.py, followed by a single <SPACE>, into the command line.

Click into the Command Prompt (Windows) or Terminal (Mac) using your mouse.

Windows:

Right click in the Command Prompt.

Select "Paste".

Mac:

Select "Edit" from the Terminal menu bar.

Click "Paste".

This should paste the WPRB playlist URL we selected & copied in Step IV.2 into the command line.

Press <SPACE>.

Type "PLAYLIST_NAME" into the command line, replacing PLAYLIST_NAME with the name of your playlist. Don't forget to confirm that your playlist name is enclosed in quotation marks ("")!

Hit Enter/Return.

To illustrate:

If your selected & copied WPRB playlist URL is:

https://playlists.wprb.com/WPRB/pl/17691402/Intergalactic-Pool-Party

And the name you've chosen for your Spotify playlist is:

Help I'm Trapped In The Mall!

Then what you should type into the command line is:
python wprbify.py https://playlists.wprb.com/WPRB/pl/17691402/Intergalactic-Pool-Party "Help I'm Trapped In The Mall"

5. Authorize The Updated Script

When you run WPRBify for the first time, it will prompt you to log in to Spotify & grant it permission to modify your Spotify account.

Follow the on-screen instructions to complete the authorization process.

6. Generate Your First Spotify Playlist

Once you've authorized WPRBify to access your Spotify account, it should immediately begin running on your command line!

All you need to do now is sit back, watch the script generate your Spotify playlist, & provide your user input as needed. (See the Overview section above for more details about user input.)

Once WPRBify has finished running, your new Spotify playlist should be visible in your Spotify account.

Additionally, if the script was unable to add any WPRB playlist tracks to your new Spotify playlist, a list of those tracks will be saved within your computer's Documents folder as YOUR_PLAYLIST_NAME-not_in_spotify.txt.

Comhghairdeas! 🎉🎉🎉

You just downloaded, configured, & ran WPRBify!

See? I told you you didn't need a Computer Science degree to get this working on your computer. Happy playlist creation & LONG LIVE FREE-FORM COMMUNITY RADIO!

Nerd Stuff For Nerds

This section delves into the inner workings of the wprbify.py script. If you are familiar with programming concepts, Python, & APIs, I hope you'll find this section interesting!

Here, you'll find a detailed breakdown of:

The Python libraries & modules WPRBify depends on to run properly.
A detailed breakdown of the WPRBify script's functions.
How WPRBify calculates the "similarity scores" which correlated WPRB playlist track data with Spotify search result data

Dependencies

Libraries

This script utilizes the following Python libraries:

beautifulsoup4 (docs): Web scraping. Allows the script to extract track information from the HTML content of the WPRB playlist page or a locally saved HTML file.
inflection (docs): Utilities for English word inflection. Used to correctly format track names & artist names when searching for tracks on Spotify.
prettytable (docs): ASCII table creation. Used to generate a neatly formatted table of tracks that were not found in Spotify or were skipped during the search process.
spotipy (docs): Interface to interact with Spotify's Web API. Allows the script to search for tracks, create playlists, & access other music-related information from your Spotify account.
termcolor (docs): Colors text output in the terminal. Makes it easier to distinguish different elements of the script's output.
tabulate (docs): ASCII table creation. Formats the tabulated list of search results, making it easier for the user to review & select tracks from the command line.
tqdm (docs): Progress bars. Displays progress bars during the track search process, making it the script's operations more interactive & visually appealing.
requests (docs): Send HTTP requests & handle responses. Used in the web scraping process to fetch the HTML content of the WPRB playlist page.

These libraries must be installed on your machine in order for WPRBify to run properly. You can install them in one go from the command line via:

pip install beautifulsoup4 inflection prettytable spotipy termcolor tabulate tqdm requests

Modules

This script utilizes the following Python standard library modules:

argparse (docs): Makes it easy to write user-friendly command-line interfaces. Allows the script to accept input arguments, such as the WPRB playlist URL & the name of the new Spotify playlist, when running the script from the command line.
difflib (docs): Provides classes & functions for comparing sequences. It is used to compute the differences between sequences, which can be useful for tasks such as text comparison, version control, & finding similarities between strings.
os (docs): Supplies a wide range of operating system-dependent functionalities, including file and directory management, process control, & environment variables access.
re (docs): Provides support for regular expressions, enabling efficiently pattern matching & text manipulation in strings.
shutil (docs): A collection of high-level file operations & file system utility functions, simplifying tasks like copying, moving, & deleting files & directories.

Functions

This section provides a comprehensive overview of the functions used in the WPRBify script.

These functions serve as the building blocks of the script's functionality & work together to fetch track information, search for matching tracks on Spotify, calculate similarity scores, & create Spotify playlists.

`extract_track_info(html_content)`

Extracts track information from the HTML content of the WPRB playlist.

Parameters	Data Type	Description
`html_content`	str	The HTML content of the WPRB playlist.

Returns	Data Type	Description
`track_list`	list	A list of tuples containing track information.

`calculate_similarity(wprb_artist, wprb_song, wprb_album, spotify_artist, spotify_song, spotify_album)`

Calculates the similarity score between WPRB track data and Spotify track data.

Parameters	Data Type	Description
`wprb_artist`	str	The artist name from WPRB track data.
`wprb_song`	str	The song name from WPRB track data.
`wprb_album`	str	The album name from WPRB track data.
`spotify_artist`	str	The artist name from Spotify track data.
`spotify_song`	str	The song name from Spotify track data.
`spotify_album`	str	The album name from Spotify track data.

Returns	Data Type	Description
`similarity`	int	The similarity score between 0 and 100.

`spotify_song_search(sp, song_name)`

Performs a song-only search in Spotify.

Parameters	Data Type	Description
`sp`	spotipy.Spotify	The Spotify API object.
`song_name`	str	The song name to search for.

Returns	Data Type	Description
`search_results`	list	A list of search results (tracks) from Spotify.

`wprb_search_results(wprb_artist, wprb_song, wprb_album)`

Searches for tracks in Spotify and calculates similarity.

Parameters	Data Type	Description
`wprb_artist`	str	Artist name from WPRB.
`wprb_song`	str	Song name from WPRB.
`wprb_album`	str	Album name from WPRB.

Returns	Data Type	Description
`results`	list	A list of search results (tracks) from Spotify with similarity scores.

`safe_input_int(prompt)`

Prompts for integer input, ensuring it is a valid number.

Parameters	Data Type	Description
`prompt`	str	The prompt to display to the user.

Returns	Data Type	Description
`choice`	int	The user's valid integer input.

`create_spotify_playlist(sp, playlist_name, track_list)`

Creates a Spotify playlist and adds tracks to it.

Parameters	Data Type	Description
`sp`	spotipy.Spotify	The Spotify API object.
`playlist_name`	str	The name of the playlist to be created.
`track_list`	list	List of track data from the WPRB URL.

Returns	Data Type	Description
None		This function does not return anything.

`get_track_uri(sp, artist, song)`

Searches for the track URI in Spotify based on artist and song.

Parameters	Data Type	Description
`sp`	spotipy.Spotify	The Spotify API object.
`artist`	str	The artist name.
`song`	str	The song name.

Returns	Data Type	Description
`track_uri`	str	The Spotify track URI, or None if not found.

search_with_search_q(artist, song)

Performs a search using Spotipy's search_q method to find tracks with an exact match of artist and song.

Parameters	Data Type	Description
`artist`	str	The artist name.
`song`	str	The song name.

Returns	Data Type	Description
`search_results`	list	A list of search results.

save_not_found_tracks(playlist_name, not_found_tracks)

Saves the list of tracks not found in Spotify to a file.

Parameters	Data Type	Description
`playlist_name`	str	The name of the Spotify playlist.
`not_found_tracks`	list	A list of tuples containing track data (song, artist).

Returns	Data Type	Description
None		This function does not return anything.

fetch_html_content(input_source)

Fetches HTML content from a URL or file path.

Parameters	Data Type	Description
`input_source`	str	The URL or file path of the HTML content.

Returns	Data Type	Description
`html_content`	str	The HTML content fetched from the URL or file.

Similarity Score

The similarity score is a numerical value between 0 & 100 that indicates how closely the track data extracted from WPRB playlists matches the corresponding track data found in Spotify search results. The higher the similarity score, the closer the match between the two sets of data.

The calculation of the similarity score involves the following steps:

Normalization
Comparison
Weight average calculation
Final score generation

The sub-sections below explain each step in greater detail. Each sub-section also documents the code associated with each step.

Normalization

Both sets of track data are normalized by converting all text to lowercase & removing any special characters & punctuation. This step ensures that the comparison between the track data is case-insensitive & focuses solely on the alphanumeric content.

   wprb_artist_normalized = re.sub(r'[^\w\s]', '', wprb_artist).lower()
   wprb_song_normalized = re.sub(r'[^\w\s]', '', wprb_song).lower()

   if wprb_album is not None:  # Check if album data is available
       wprb_album_normalized = re.sub(r'[^\w\s]', '', wprb_album).lower()
   else:
       wprb_album_normalized = None

   spotify_artist_normalized = re.sub(r'[^\w\s]', '', spotify_artist).lower()
   spotify_song_normalized = re.sub(r'[^\w\s]', '', spotify_song).lower()
   spotify_album_normalized = re.sub(r'[^\w\s]', '', spotify_album).lower()

Comparison

The normalized artist name, song name, & album name (if available) from the WPRB playlist are compared with the corresponding data from Spotify using the SequenceMatcher algorithm from the difflib library. SequenceMatcher computes a similarity ratio between two strings, indicating how similar they are. The higher the ratio, the more similar the strings.

artist_match = SequenceMatcher(None, wprb_artist_normalized, spotify_artist_normalized).ratio()
song_match = SequenceMatcher(None, wprb_song_normalized, spotify_song_normalized).ratio()
album_match = SequenceMatcher(None, wprb_album_normalized, spotify_album_normalized).ratio() if wprb_album_normalized else 0

Weighted Average

The similarity scores for the artist, song, & album data are combined into a weighted average to compute the final similarity score. The weights used are 1 for artist & song & 2 for the album. This is done to give more importance to the album match if available. For example, if the album name is available, a perfect match on the album name will have a larger impact on the final score compared to a perfect match on the artist or song name alone.

similarity = int(min((artist_match + song_match + album_match * 2) / 3 * 100, 100))

Final Score

The final similarity score is capped at a maximum of 100 to ensure that it falls within the desired range. A similarity score of 100 indicates a perfect match between the WPRB track data & the corresponding track data on Spotify.

return similarity

Bug Reports & Pull Requests

If you encounter any issues with the script or would like to contribute improvements, please open a GitHub issue or submit a pull request.

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
.gitignore		.gitignore
README.md		README.md
wprbify.py		wprbify.py

Text Input Field	Text Input Value (Copy & Paste)
App name	WPRBify
App Description	An app that uses WPRB playlists to generate Spotify playlists.
Redirect URI	https://localhost:8888/callback

iamthelabhras/wprbify

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