Heroku
Cloud infrastructure
Integrate the Heroku API with the Python API
Setup the Heroku API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Heroku and Python remarkably fast. Free for developers.
Popular Heroku 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 Heroku#
The Heroku API offers programmatic access to Heroku's cloud platform, enabling developers to automate, extend, and integrate their app's lifecycle events with other services. With Pipedream, you can harness the Heroku API for powerful automation, such as managing apps, dynos, add-ons, and configuring scaling operations. Pipedream's ability to connect with multiple services allows for creating complex workflows, such as syncing your development pipeline with external project management tools or triggering alerts based on app metrics.
Connect Heroku#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
heroku: {
type: "app",
app: "heroku",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.heroku.com/account`,
headers: {
Authorization: `Bearer ${this.heroku.$auth.oauth_access_token}`,
"accept": `application/vnd.heroku+json; version=3`,
},
})
},
})
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}}