Social Intents
Social Intents is a social apps platform that allows live chat with website visitors to offer great customer service and sell more right from MS Teams, Slack, Zoom, or Webex.
Integrate the Social Intents API with the Python API
Setup the Social Intents API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Social Intents and Python remarkably fast. Free for developers.
Popular Social Intents 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 Social Intents#
The Social Intents API enables seamless integration of live chat, customer feedback, and email list building services into your digital platforms. You can byukd workflows that automatically trigger actions based on chat events, gather insights from customer interactions, and enhance your marketing strategies by connecting Social Intents to various other tools, like CRMs, email marketing services, and databases.
Connect Social Intents#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
social_intents: {
type: "app",
app: "social_intents",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.socialintents.com/v1/api/chats/`,
auth: {
username: `${this.social_intents.$auth.account_id}`,
password: `${this.social_intents.$auth.api_token}`,
},
})
},
})
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}}