Zoho SalesIQ offers your marketing, sales, and support teams the digital customer engagement tools to communicate with every site visitor at every stage of the customer lifecycle. This all-in-one live chat and analytics platform promotes proactive customer engagement, allowing you to initiate the right kind of conversation at exactly the right time.
Emit new event when a new conversation is created.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Retrieve visitor feedback by conversation ID. See the documentation
Retrieve a list of feedback from website visitors. See the documentation
The Zoho SalesIQ API offers a wealth of possibilities for engaging with customers and streamlining sales processes. By leveraging this API in Pipedream, you can craft automated workflows to react to events, manage visitors, and integrate customer interaction data with other services. This could range from triggering actions based on visitor activities to syncing chat transcripts with CRM tools. Pipedream's ability to connect with hundreds of apps allows for creative and powerful automations that can save time and provide valuable insights.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zoho_salesiq: {
type: "app",
app: "zoho_salesiq",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.zoho_salesiq.$auth.base_api_uri}/api/v2/portals`,
headers: {
"Authorization": `Zoho-oauthtoken ${this.zoho_salesiq.$auth.oauth_access_token}`,
},
})
},
})
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}}