Integrate the Nimble API with the Python API

Setup the Nimble API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Nimble and Python remarkably fast. Free for developers.

Popular Ways to Connect Nimble with Python#

Run Python Code with Python API on New Contact Created from Nimble API

Nimble + Python

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Popular Nimble and Python Triggers#

New Contact Created from the Nimble API

Emit new event when a contact is created.

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Popular Nimble and Python Actions#

Create Contact with the Nimble API

Creates a contact. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Create Task with the Nimble API

Creates a task. See the documentation

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Update Contact with the Nimble API

Updates a contact. See the documentation

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Overview of Nimble#

The Nimble API enables you to manage contacts, deals, activities, and more within your Nimble CRM. With Pipedream's serverless platform, you can create workflows that trigger on events in Nimble or other apps, process data, and perform actions back in Nimble or across various other services. By utilizing Pipedream's capabilities, you can automate tasks such as syncing contacts to other platforms, triggering custom actions based on deal updates, or aggregating customer interactions for analysis.

Connect Nimble#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    nimble: {
      type: "app",
      app: "nimble",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.nimble.com/api/v1/myself`,
      headers: {
        Authorization: `Bearer ${this.nimble.$auth.oauth_access_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}}