SMS-IT
Build sales leads with accuracy, reduce customer attrition, and engage with clients using personalized interactions.
Integrate the SMS-IT API with the Python API
Setup the SMS-IT API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate SMS-IT and Python remarkably fast. Free for developers.
Popular SMS-IT and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of SMS-IT#
The SMS-IT API provides a way to send and receive SMS messages programmatically. Using Pipedream, you can create event-driven workflows that leverage this API for a variety of use cases. You can integrate SMS capabilities into your applications, automate notifications, confirmations, or alerts, and engage with your audience through text messages. In Pipedream, you can use pre-built actions or run custom Node.js code to connect with the SMS-IT API, making it a versatile tool for developers looking to add SMS functionality to their services.
Connect SMS-IT#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
sms_it: {
type: "app",
app: "sms_it",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://controlpanel.smsit.ai/apis/getcreditbalance/`,
headers: {
"Content-Type": `application/x-www-form-urlencoded`,
},
params: {
type: `1`,
apikey: `${this.sms_it.$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}}