To help you get started with the APIs offered by APILayer, we’ve compiled the necessary Python code for analyzing Spotify tracks and retrieving recommendations tailored to your country of residence.
As you gain experience with APILayer’s Spotify API and other APIs, you’ll be able to dive into the world of Natural Language Processing (NLP) and experiment with developing cutting-edge applications for Spotify. If you want to see how similar the lyrics to two Spotify songs are, you can use APILayer’s NLP API to do so. You can take advantage of APIs to get to the music and lyrics you want, and you can filter your search results based on where you are. If you can imagine it, you can probably develop it with the help of an API.
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How do I find out the Spotify track ID?
Spotify track IDs can be found by right-clicking on the track in the Spotify app and selecting “Share”, “Copy Song Link”. The track ID will be the last part of the URL or link.
How do you find a Spotify track ID from a URL?
Suppose you had a URL like: https://open.spotify.com/track/2tHj8vYlXs8bpqeaHHqUAZ?si=637c13030c934ad3 The Spotify track ID in this link is “2tHj8vYlXs8bpqeaHHqUAZ” Now you know how to isolate the Spotify track ID from the URL. Let’s step it up a notch and write a piece of Python code that can automatically isolate track IDs from Spotify URLs.Python Code to Isolate Spotify Track ID From the URL
URL = ” YOUR URL” track_id = URL.split(‘/’)[-1].split(‘?’)[0] print(track_id)
APILayer Spotify API Used to Extract Song Lyrics From Spotify
Now that you know how to get track IDs from Spotify music URLs, you can use the APILayer Spotify API to extract lyrics from Spotify. Get a FREE API key at https://marketplace.apilayer.com/spotify-api and add it to the code below to print the lyrics of the song ID import requests import json spotify_track_id = track_id url = “https://api.apilayer.com/spotify/track_lyrics?id=” + str(spotify_track_id) payload = {} headers= { “apikey”: “Your API Key” # Get your API key from https://apilayer.com/marketplace/spotify-api } response = requests.request(“GET”, url, headers=headers, data = payload) status_code = response.status_code result = response.text python_dict = json.loads(result) lyrics = “” for line in python_dict[‘lyrics’][‘lines’]: lyrics += line[‘words’] + ” “ print(lyrics)
Analyze the Sentiment of Spotify Songs
What if you wanted to examine the lyrics in terms of the feelings or sentiments they convey? You are able to accomplish this by utilizing the Text to Emotion API provided by APILayer. Get your FREE text to emotion API key https://apilayer.com/marketplace/text_to_emotion-api, and add it into the code below to test the service. import requests import json url = “https://api.apilayer.com/text_to_emotion” payload = lyrics.encode(“utf-8”) headers= { “apikey”: “Your API Key” # Get your API key from https://apilayer.com/marketplace/text_to_emotion-api } response = requests.request(“POST”, url, headers=headers, data = payload) status_code = response.status_code result = response.text print(result)
Analyze Spotify Songs for Swearing
With APILayer, you can do extensive research on your favorite Spotify tracks. For instance, you could use the Bad Words API to scan song tracks for obscenities and design a program that filters them out of user-created music apps. Get your FREE Bad Words API key and add it into the code below to test the service. https://marketplace.apilayer.com/bad_words-api import requests import json # Tested on the lyrics of ‘The Cus Word Song’ url = “https://api.apilayer.com/bad_words?censor_character=censor_character” payload = lyrics.encode(“utf-8”) headers= { “apikey”: “ADD YOUR API KEY” # Get your FREE API key from https://marketplace.apilayer.com/bad_words-api } response = requests.request(“POST”, url, headers=headers, data = payload) status_code = response.status_code result = response.text python_dict = json.loads(result) print(python_dict[‘bad_words_list’]) print(“Total bad words: “, python_dict[‘bad_words_total’])
Get Spotify Recommendations Based on Your Country
If you are interested in programming Spotify to give you track recommendations based on your country, consider blending APILayer’s Ipstack API with APILayer’s Spotify API. IPstack will detect your country location, and you can send your country location as a keyword to APILayer’s Spotify API to get suggested music tracks. Add your Spotify and Ipstack API keys to the code below to get music recommendations for your country location: import requests import json #API KEY IPSTACK_API_KEY = ‘ADD YOUR API KEY’ # Get your FREE API key from https://ipstack.com/ SPOTIFY_API_KEY = ‘ADD YOUR API KEY’ # Get your FREE API key from https://apilayer.com/marketplace/spotify-api # IPSTACK CODE url = ‘http://api.ipstack.com/check?access_key=’ + str(IPSTACK_API_KEY) response = requests.get(url) data = response.json() country = data[‘country_name’] print(country) #SPOTIFY CODE url = “https://api.apilayer.com/spotify/search?q=” + str(country) payload = {} headers= { “apikey”: SPOTIFY_API_KEY } response = requests.request(“GET”, url, headers=headers, data = payload) status_code = response.status_code result = response.text result = json.loads(result) for item in result[‘albums’][‘items’]: artist_name = item[‘data’][‘artists’][‘items’][0][‘profile’][‘name’] print(artist_name)
As you gain experience with APILayer’s Spotify API and other APIs, you’ll be able to dive into the world of Natural Language Processing (NLP) and experiment with developing cutting-edge applications for Spotify. If you want to see how similar the lyrics to two Spotify songs are, you can use APILayer’s NLP API to do so. You can take advantage of APIs to get to the music and lyrics you want, and you can filter your search results based on where you are. If you can imagine it, you can probably develop it with the help of an API. 
