Integrate the Manifestly Checklists API with the Python API

Setup the Manifestly Checklists API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Manifestly Checklists and Python remarkably fast. Free for developers.

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Popular Manifestly Checklists and Python Actions#

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Overview of Manifestly Checklists#

Manifestly Checklists API allows for the creation, management, and tracking of detailed checklists within your workflows. Leveraging this API in Pipedream, you can automate checklist operations, which is indispensable for ensuring consistency in processes like onboarding, maintenance schedules, or content publication. By integrating Manifestly with other apps on Pipedream, you can build seamless automation that triggers actions based on checklist status, responses, or completion.

Connect Manifestly Checklists#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    manifestly_checklists: {
      type: "app",
      app: "manifestly_checklists",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.manifest.ly/api/v1/users/`,
      params: {
        api_key: `${this.manifestly_checklists.$auth.api_key}`,
      },
    })
  },
})

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}}

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