Respond.io
A business messaging platform that unifies customer communication for tech-savvy orgs that market, sell & support across instant messaging, web chat & email.
Integrate the Respond.io API with the Python API
Setup the Respond.io API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Respond.io and Python remarkably fast. Free for developers.
Popular Respond.io 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 Respond.io#
The Respond.io API provides a gateway to interact with a platform designed for business messaging, allowing for automation of conversations, contact management, and message dispatch across various channels like SMS, WhatsApp, and Facebook Messenger. In Pipedream, you can construct workflows that leverage these capabilities to sync with other services, trigger actions based on received messages, or even conduct analytics over message data. This harnesses the power of serverless execution to simplify and enhance customer communication strategies.
Connect Respond.io#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
respond_io: {
type: "app",
app: "respond_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.respond.io/v2/space/user`,
headers: {
Authorization: `Bearer ${this.respond_io.$auth.access_token}`,
"Content-Type": `application/json`,
},
})
},
})
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}}