Integrate the Google Docs API with the Python API

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

Popular Google Docs and Python Actions#

Append Text with the Google Docs API

Append text to an existing document. See the docs

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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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Create a New Document with the Google Docs API

Create a new, empty document. To add content after creating the document, pass the document ID exported by this step to the Append Text action. See the docs

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Append Image to Document with the Google Docs API

Appends an image to the end of a document. See the docs

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Create New Document from Text with the Google Docs API

Create a new document from plain text. See the docs

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Overview of Google Docs#

The Google Docs API allows you to create, read, and update Google Docs programmatically, enabling a wide range of automations and integrations with other apps and services. With Pipedream, you can harness this API to craft custom serverless workflows that trigger on various events, like form submissions, emails, or scheduled times, and perform actions like updating a document, extracting content, or even generating templated reports.

Connect Google Docs#

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

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}}