Integrate the Vtiger CRM API with the Python API

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

Popular Ways to Connect Vtiger CRM with Python#

Run Python Code with Python API on New Lead Created from Vtiger CRM API

Vtiger CRM + Python

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Popular Vtiger CRM and Python Triggers#

New Lead Created from the Vtiger CRM API

Emit new event when a new lead is created in VTiger CRM.

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Popular Vtiger CRM and Python Actions#

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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Overview of Vtiger CRM#

The Vtiger CRM API lets you tap into your customer relationship data to create, read, update, and delete records across various entities such as contacts, leads, and opportunities. In Pipedream, you can leverage this API to automate workflows, sync data across platforms, and react to events in real-time, all without the need for dedicated backend code. You can create dynamic workflows that respond to webhooks, schedule tasks, and integrate with 1000+ apps readily available on Pipedream.

Connect Vtiger CRM#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    vtiger_crm: {
      type: "app",
      app: "vtiger_crm",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.vtiger_crm.$auth.instance}.vtiger.com/restapi/v1/vtiger/default/me`,
      auth: {
        username: `${this.vtiger_crm.$auth.username}`,
        password: `${this.vtiger_crm.$auth.access_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}}