Integrate the Typefully API with the Python API

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

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Popular Ways to Connect Typefully with Python#

Run Python Code with Python API on New Draft Published from Typefully API

Typefully + Python

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Run Python Code with Python API on New Draft Scheduled from Typefully API

Typefully + Python

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Popular Typefully and Python Triggers#

New Draft Published from the Typefully API

Emit new event when a draft is published to Twitter via Typefully.

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New Draft Scheduled from the Typefully API

Emit new event when a draft is scheduled for publication.

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Popular Typefully and Python Actions#

Create Draft with the Typefully API

Creates a new draft in Typefully. See the documentation

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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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Schedule Draft with the Typefully API

Schedules a draft for publication at a specific date and time. See the documentation

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Schedule Draft Next Slot with the Typefully API

Schedules an existing draft for publication in the next available time slot. See the documentation

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Connect Typefully#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    typefully: {
      type: "app",
      app: "typefully",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.typefully.com/v1/notifications/`,
      headers: {
        "x-api-key": `${this.typefully.$auth.api_key}`,
      },
      params: {
        kind: `activity`,
      },
    })
  },
})

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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