Integrate the Google Appsheet API with the Python API

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

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Popular Google Appsheet 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 Google Appsheet#

The Google Appsheet API enables programmatic interactions with your custom AppSheet applications, allowing you to streamline processes, automate actions, and interlink your apps with other services. Leveraging Pipedream's powerful serverless platform, you can create workflows that react to events in real-time, automate tasks, and connect to countless other services with minimal effort. Whether you're updating datasets, syncing with external systems, or triggering complex chains of actions, combining AppSheet with Pipedream can supercharge your productivity and enhance your app's capabilities.

Connect Google Appsheet#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_appsheet: {
      type: "app",
      app: "google_appsheet",
    }
  },
  async run({steps, $}) {
    const data = {
      "Action": "Find",
      "Properties": `{
          "Locale": "en-US",
          "Selector": "Filter(Sheet1, true)",
          "Timezone":
          "Pacific Standard Time"
      }`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.appsheet.com/api/v2/apps/${this.google_appsheet.$auth.app_id}/tables/{{your_table_here}}/Action`,
      headers: {
        "ApplicationAccessKey": `${this.google_appsheet.$auth.access_key}`,
      },
      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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