Twilio SendGrid
Send marketing and transactional email through the Twilio SendGrid platform with the Email API, proprietary mail transfer agent, and infrastructure for scalable delivery.
Integrate the Twilio SendGrid API with the Python API
Setup the Twilio SendGrid API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Twilio SendGrid and Python remarkably fast. Free for developers.
Popular Twilio SendGrid and Python Actions#
Allows you to add one or more email addresses to the global suppressions group. See the docs here
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Allows you to create a new contact list. See the docs here
Allows you to delete all email addresses on your blocks list. See the docs here
Overview of Twilio SendGrid#
The Twilio SendGrid API opens up a world of possibilities for email automation, enabling you to send emails efficiently and track their performance. With this API, you can programmatically create and send personalized email campaigns, manage contacts, and parse inbound emails for data extraction. When you harness the power of Pipedream, you can connect SendGrid to hundreds of other apps to automate workflows, such as triggering email notifications based on specific actions, syncing email stats with your analytics, or handling incoming emails to create tasks or tickets.
Connect Twilio SendGrid#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
sendgrid: {
type: "app",
app: "sendgrid",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.sendgrid.com/v3/user/account`,
headers: {
Authorization: `Bearer ${this.sendgrid.$auth.api_key}`,
},
})
},
})
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}}Community Posts#
