What do you want to automate
with Digistore24 and Python?
Prompt, edit and deploy AI agents that connect to Digistore24, Python and 3,000+ other apps in seconds.
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Popular Ways to Connect Digistore24 with Python#
Popular Digistore24 and Python Triggers#
Emit new event when a new purchase is created. See the documentation
Emit new event when a new recurring subscription payment is processed. See the documentation
Emit new event when a subscription status changes (e.g., cancelled, paused, resumed, expired). See the documentation
Popular Digistore24 and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Digistore24#
Digistore24 API allows for automation of tasks related to digital sales, such as product management, order processing, and affiliate tracking. Using Pipedream, you can craft workflows that automate repetitive tasks, integrating with other services to streamline your digital sales pipeline. Pipedream's serverless platform facilitates the creation of these workflows without the need for dedicated infrastructure, making it easier to connect Digistore24 to a multitude of other apps and services.
Connect Digistore24#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
digistore24: {
type: "app",
app: "digistore24",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.digistore24.com/api/call/getUserInfo`,
headers: {
"X-DS-API-KEY": `${this.digistore24.$auth.api_key}`,
Accept: "application/json"
},
})
},
})
Overview of Python#
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:
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies