Integrate the NetHunt CRM API with the Python API

NetHunt CRM API is a powerful tool that lets you build custom applications on
top of the NetHunt CRM platform. With the API, you can access data stored in
NetHunt CRM, including contacts, tasks, notes, deals, and more. You can also
use the API to create custom applications that interact with NetHunt CRM data.

The NetHunt CRM API is a REST API, so it can be used with any programming
language that supports making HTTP requests. In addition, the NetHunt CRM API
is fully documented, so you can easily find the information you need to get
started.

Here are some examples of what you can build with the NetHunt CRM API:

A custom contact manager that displays data from NetHunt CRM in a custom way
A task manager that lets you view and manage tasks from NetHunt CRM
A deal tracker that lets you see which deals are close to being won
A custom report that displays data from NetHunt CRM in a custom way
A custom application that interacts with NetHunt CRM data in some way

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#

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

Create automated workflows that run on a specific schedule
Compose workflows across various apps and services
React to events in cloud services or form data
Automatically create content and notifications
Construct classifications and predictions
Analyze and react to sentiment, sentiment analysis and sentiment score
Connect backends to the frontend with serverless functions
Work with files and databases
Perform web requests and fetch data
Integrate third-party APIs into your apps
Orchestrate data processing tasks and pipelines
Create powerful application APIs with authentication and authorization
Design CI/CD pipelines and Continuous Delivery services
Connect databases like MongoDB and MySQL
Monitor connections and events
Generate alerts and notifications for corresponding events

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}}