Spotify
Music streaming
Integrate the Spotify API with the Python API
Setup the Spotify API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Spotify and Python remarkably fast. Free for developers.
Popular Spotify and Python Triggers#
Emit new event when a new playlist is created or followed by the current Spotify user.
Emit new event for each new track saved to the current Spotify user's Music Library.
Emit new event for each new Spotify track related with an artist. see docs here
Emit new event for each new Spotify track added to a playlist
Popular Spotify and Python Actions#
Add one or more items to a user’s playlist. See the docs here.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create a playlist for a Spotify user. The playlist will be empty until you add tracks. See the docs here.
Get a list of Spotify playlists tagged with a particular category. See the docs here.
Overview of Spotify#
Assuming you have a Spotify Developer account (https://developer.spotify.com/), you can use the Spotify API to build the following:
- An app that displays a user's top artists, tracks, and genres
- A playlist generator that creates a playlist based on a user's favorite artists
- An app that shows a user's friends who also listen to a particular artist
- A concert finder that shows a user upcoming concerts for their favorite artists
Connect Spotify#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
spotify: {
type: "app",
app: "spotify",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.spotify.com/v1/me`,
headers: {
Authorization: `Bearer ${this.spotify.$auth.oauth_access_token}`,
},
})
},
})
Overview of Python#
Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.
By using Pipedream, you can easily:
- Create automated workflows that run on a specific schedule
- Compose workflows across various apps and services
- React to events in cloud services or form data
- Automatically create content and notifications
- Construct classifications and predictions
- Analyze and react to sentiment, sentiment analysis and sentiment score
- Connect backends to the frontend with serverless functions
- Work with files and databases
- Perform web requests and fetch data
- Integrate third-party APIs into your apps
- Orchestrate data processing tasks and pipelines
- Create powerful application APIs with authentication and authorization
- Design CI/CD pipelines and Continuous Delivery services
- Connect databases like MongoDB and MySQL
- Monitor connections and events
- Generate alerts and notifications for corresponding events
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}