with timelink and Python?
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    timelink: {
      type: "app",
      app: "timelink",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.timelink.io/api/v1/users`,
      headers: {
        Authorization: `Bearer ${this.timelink.$auth.api_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}}