Private and secure email by Google at no cost, for business and consumer accounts. Use this app to connect your own developer account credentials.
Emit new event for each attachment in a message received. This source is capped at 100 max new messages per run.
Emit new event when an email is received. This source is capped at 100 max new messages per run.
Emit new event for each new email sent. (Maximum of 300 events emited per execution)
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create a draft from your Google Workspace email account
Download an attachment by attachmentId to the /tmp directory. See the docs
Find an email using Google's Search Engine. See the docs
With the Gmail (Developer App) API on Pipedream, you can automate a variety of email-related tasks, directly manipulating your Gmail account to streamline workflows. From sending emails programmatically to parsing new inbound messages for data extraction, the API allows for deep interaction with your Gmail inbox. Use cases include automating follow-ups, organizing your inbox with filters and labels, and synchronizing important email events with other services to act upon new information instantly.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
gmail_custom_oauth: {
type: "app",
app: "gmail_custom_oauth",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.gmail_custom_oauth.$auth.oauth_access_token}`,
},
})
},
})
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:
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}}