Google Chat (Developer App)

Google Chat is an intelligent and secure communication and collaboration tool, built for teams. Use this app to connect your own developer account credentials.

Integrate the Google Chat (Developer App) API with the Python API

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

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.

 
Try it

Overview of Google Chat (Developer App)

By connecting your Google Chat account to Pipedream, you'll be able to incorporate your Google Chat data into whatever you're building with any of the 1,700+ apps that are available on Pipedream.

Connect Google Chat (Developer App)

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_chat_developer_app: {
      type: "app",
      app: "google_chat_developer_app",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/oauth2/v1/userinfo`,
      headers: {
        Authorization: `Bearer ${this.google_chat_developer_app.$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

1
2
3
4
5
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}}