Integrate the talkSpirit API with the Python API

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

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Popular talkSpirit 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 talkSpirit#

The talkSpirit API lets you tap into a comprehensive platform for team communication and collaboration. On Pipedream, you can orchestrate sophisticated workflows tapping into talkSpirit's features such as posting messages, managing users, and handling groups. Automate notifications, sync data with other apps, or create custom integrations that trigger actions within talkSpirit, all in real-time.

Connect talkSpirit#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    talkspirit: {
      type: "app",
      app: "talkspirit",
    }
  },
  async run({steps, $}) {
    const data = {
      "title": `{your_title}`,
      "content": `{your_content}`,
      "url": `{your_url}`,
    }
    return await axios($, {
      method: "post",
      url: `https://webhook.talkspirit.com/v1/incoming/${this.talkspirit.$auth.api_key}`,
      headers: {
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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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