Integrate the Clientify API with the Python API

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

Popular Ways to Connect Clientify with Python#

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

Clientify + Python

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Run Python Code with Python API on New Task Completed from Clientify API

Clientify + Python

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Popular Clientify and Python Triggers#

New Contact Created from the Clientify API

Emit new event when a new contact is created.

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New Task Completed from the Clientify API

Emit new event when a task is completed.

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Popular Clientify and Python Actions#

Create Contact with the Clientify API

Create a new 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 Clientify API

Add a new task. See the documentation

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Update Contact with the Clientify API

Update a specific contact. See the documentation

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Overview of Clientify#

The Clientify API enables automation and integration of Clientify's CRM functions within Pipedream. This API allows you to manage contacts, accounts, deals, and tasks, streamlining your customer relationship management. With Pipedream, you can harness these capabilities to create custom workflows that trigger actions within Clientify, respond to events, or connect with other apps to enhance productivity and data utilization.

Connect Clientify#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    clientify: {
      type: "app",
      app: "clientify",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.clientify.net/v1/users/`,
      headers: {
        "Authorization": `Token ${this.clientify.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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}}