Anything you can do in Python can be done in a Pipedream Workflow. This includes using any of the 350,000+ PyPi packages available in your Python powered workflows.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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}}
The Figma API unlocks the power to automate and integrate design workflows, enabling both designers and developers to extract assets, update designs, and manage files programmatically. By leveraging the Figma API on Pipedream, you can create automated processes that sync design updates with other tools, notify team members of changes, or feed design information into other parts of your digital ecosystem.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
figma: {
type: "app",
app: "figma",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.figma.com/v1/me`,
headers: {
Authorization: `Bearer ${this.figma.$auth.oauth_access_token}`,
},
})
},
})