with Sendblue and Python?
Emit new event when a new inbound message is received. See the documentation
Emit new event when a new inbound message is received. See the documentation
Retrieve a list of your existing contacts from Sendblue. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Send a message to a group of recipients in an iMessage group
Send an iMessage or SMS to a specific phone number. See the documentation
Sendblue API offers a powerful gateway to automate communication via iMessage, enabling businesses to send and receive messages programmatically. By leveraging Sendblue on Pipedream, you can create intricate workflows that respond to events in real-time, tailor customer interactions, and streamline notifications. It provides a unique opportunity to enhance customer engagement through one of the most widely used messaging platforms.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
sendblue: {
type: "app",
app: "sendblue",
}
},
async run({steps, $}) {
const data = {
"number": `+19998887777`,
"content": `Hello world`,
"send_style": `Invisible`,
"media_url": `https://source.unsplash.com/random.png`,
"statusCallback": `https://example.com/message-status/1234abcd`,
}
return await axios($, {
method: "post",
url: `https://api.sendblue.co/api/send-message`,
headers: {
"sb-api-key-id": `${this.sendblue.$auth.api_key}`,
"sb-api-secret-key": `${this.sendblue.$auth.api_secret}`,
"Content-Type": `application/json`,
},
data,
})
},
})
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}}