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with Google Drive and Python?
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Popular Ways to Connect Google Drive with Python#
Popular Google Drive and Python Triggers#
Watches for changes to specific files, emitting an event when a change is made to one of those files. To watch for changes to shared drive files, use the Changes to Specific Files (Shared Drive) source instead.
Watches for changes to specific files in a shared drive, emitting an event when a change is made to one of those files
Emit new event when a new access proposal is requested in Google Drive
Emit new event when a new file is added in your linked Google Drive
Emit new event when a new file is added in your shared Google Drive
Popular Google Drive and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create a copy of the specified file. See the documentation for more information
Create a new empty folder. See the documentation for more information
Create a new Google Docs file from a template. Optionally include placeholders in the template document that will get replaced from this action. See documentation
Create a new file from plain text. See the documentation for more information
Overview of Google Drive#
The Google Drive API on Pipedream allows you to automate various file management tasks, such as creating, reading, updating, and deleting files within your Google Drive. You can also share files, manage permissions, and monitor changes to files and folders. This opens up possibilities for creating workflows that seamlessly integrate with other apps and services, streamlining document handling, backup processes, and collaborative workflows.
Connect Google Drive#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_drive: {
type: "app",
app: "google_drive",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/drive/v3/about?fields=user`,
headers: {
Authorization: `Bearer ${this.google_drive.$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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies