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with NetHunt CRM and Python?
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Popular NetHunt CRM and Python Actions#
Overview of NetHunt CRM#
The NetHunt CRM API provides powerful access to manage customer relationship data programmatically. With this API and Pipedream, you can automate tasks, synchronize customer data across platforms, trigger communications based on customer interactions, and much more. Pipedream's serverless execution model and vast library of app integrations open up a myriad of possibilities for streamlining sales processes and enhancing customer engagement by automating the flow of information between NetHunt CRM and other business tools.
Connect NetHunt CRM#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
nethunt_crm: {
type: "app",
app: "nethunt_crm",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://nethunt.com/api/v1/zapier/triggers/readable-folder`,
auth: {
username: `${this.nethunt_crm.$auth.email_address}`,
password: `${this.nethunt_crm.$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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies