Google Chat

Simplify 1:1 messaging and group collaboration

Integrate the Google Chat API with the Python API

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

Create Message with the Google Chat API

Create a message to post a text. 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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Get Member with the Google Chat API

Returns details about a membership. See the documentation

 
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Get Message with the Google Chat API

Returns details about a message. See the documentation

 
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Get Space with the Google Chat API

Returns details about a space. See the documentation

 
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Overview of Google Chat

The Google Chat API allows you to build custom bots for Google Chat, enabling automated interactions with users within a chat space. By leveraging this API on Pipedream, you can create powerful workflows that respond to messages, automate tasks, and connect Google Chat with other services. Pipedream's serverless platform provides a seamless way to invoke these APIs based on triggers from Google Chat or other apps.

Connect Google Chat

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_chat: {
      type: "app",
      app: "google_chat",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/oauth2/v1/userinfo`,
      headers: {
        Authorization: `Bearer ${this.google_chat.$auth.oauth_access_token}`,
      },
    })
  },
})

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

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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}}