Run Python Code with Python API on New Record Created from NetHunt CRM API

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Trigger workflow on

New Record Created from the NetHunt CRM API

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Run Python Code with the Python API

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Getting Started#

This integration creates a workflow with a NetHunt CRM trigger and Python action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Record Created trigger
1. Connect your NetHunt CRM account
2. Configure timer
3. Select a Folder
Configure the Run Python Code action
1. Connect your Python account
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Details#

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger#

New Record Created on NetHunt CRM

Description:Emit new event for every created record. [See docs here](https://nethunt.com/integration-api#new-record)

Version:0.0.1

Key:nethunt_crm-new-record-created

View on GitHub

NetHunt CRM Overview#

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.

Trigger Code#

import base from "../common/polling.mjs";

export default {
  ...base,
  key: "nethunt_crm-new-record-created",
  name: "New Record Created",
  description: "Emit new event for every created record. [See docs here](https://nethunt.com/integration-api#new-record)",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...base.methods,
    async fetchData(opts) {
      return this.nethuntCrm.listRecentlyCreatedRecordsInFolder(opts);
    },
    emitEvents(data) {
      for (const record of data) {
        this.$emit(record, {
          id: record.id,
          summary: `New record: ${record.fields.Name}`,
          ts: record.createdAt,
        });
      }
    },
  },
};

Trigger Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
NetHunt CRM	`nethuntCrm`	`app`	This component uses the NetHunt CRM app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Folder	`folderId`	`string`	Select a value from the drop down menu.

Trigger Authentication#

NetHunt CRM uses API keys for authentication. When you connect your NetHunt CRM account, Pipedream securely stores the keys so you can easily authenticate to NetHunt CRM APIs in both code and no-code steps.

In order to obtain your NetHunt API key, log into NetHunt with your Gmail account and find the API key under the NetHunt CRM tab in Settings (click on "Generate" if necessary).
For the email_address field, use the Gmail with Nethunt enabled.

About NetHunt CRM#

NetHunt is a Gmail CRM that brings sales automation and drip campaigns straight to your inbox.

Action#

Run Python Code on Python

Description:Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.

Version:0.0.2

Key:python-run-python-code

View on GitHub

Python Overview#

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:

Action Code#

import python from "../../python.app.mjs";

export default {
  name: "Run Python Code",
  version: "0.0.2",
  key: "python-run-python-code",
  description: "Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.",
  props: {
    python,
  },
  type: "action",
  methods: {},
  async run({
    steps, $,
  }) {
    // Placeholder action for Python code app
  },
};