Discover music on Discogs, the largest online music database. Buy and sell music with collectors in the Marketplace.
Emit new event when there is an order with status 'New Order'. See the documentation
Emits an event when an order status changes to 'Cancelled'. See the documentation
Creates a new listing in the Discogs marketplace. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Updates the status of an existing order on Discogs. See the documentation
The Discogs API offers a gateway to rich data on music artists, labels, and releases. With Pipedream, you can harness this data to create automated workflows that can tap into a vast repository of music information. Whether you're looking to sync your music collection with a personal database, track marketplace activity, or curate personalized music recommendations, the Discogs API paired with Pipedream provides a streamlined platform for integrating and automating these processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
discogs: {
type: "app",
app: "discogs",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.discogs.com/database/search?q=jimi+hendrix&type=artist%22`,
headers: {
"Authorization": `Discogs token=${this.discogs.$auth.personal_access_token}`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
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}}