Integrate the Nectar CRM API with the Python API

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

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Popular Nectar CRM and Python Actions#

Create Appointment with the Nectar CRM API

Created a new appointment. See docs here

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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 Contact with the Nectar CRM API

Created a new contact. See docs here

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Create Sale Opportunity with the Nectar CRM API

Created a sale opportunity. See docs here

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Create Task with the Nectar CRM API

Created a new task. See docs here

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Overview of Nectar CRM#

The Nectar CRM API enables users to streamline customer relationship management by automating tasks and syncing data across various platforms. With this API on Pipedream, you can perform actions like updating contact details, managing deals, tracking customer interactions, and generating reports. These capabilities can be leveraged to create custom, automated workflows that save time and keep your sales processes efficient.

Connect Nectar CRM#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    nectar_crm: {
      type: "app",
      app: "nectar_crm",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.nectarcrm.com.br/crm/api/1/contatos/`,
      headers: {
        "Access-Token": `${this.nectar_crm.$auth.api_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}}

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