Twilio SendGrid
Delivering your transactional and marketing emails through the world's largest cloud-based email delivery platform. Send with confidence.
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#
With the Twilio SendGrid API, you can build a number of features into your
application to manage your SendGrid account and send emails. For example, you
can use the API to:
- Create and manage SendGrid accounts
- Send emails through SendGrid
- Manage email templates
- Get statistics on email sends
- And more!
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#
Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.
By using Pipedream, you can easily:
- Create automated workflows that run on a specific schedule
- Compose workflows across various apps and services
- React to events in cloud services or form data
- Automatically create content and notifications
- Construct classifications and predictions
- Analyze and react to sentiment, sentiment analysis and sentiment score
- Connect backends to the frontend with serverless functions
- Work with files and databases
- Perform web requests and fetch data
- Integrate third-party APIs into your apps
- Orchestrate data processing tasks and pipelines
- Create powerful application APIs with authentication and authorization
- Design CI/CD pipelines and Continuous Delivery services
- Connect databases like MongoDB and MySQL
- Monitor connections and events
- Generate alerts and notifications for corresponding events
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#
