Integrate the Zendesk Sell API with the Python API

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

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Popular Ways to Connect Zendesk Sell with Python#

Run Python Code with Python API on New Contact Created from Zendesk Sell API

Zendesk Sell + Python

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Run Python Code with Python API on New Deal Created from Zendesk Sell API

Zendesk Sell + Python

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Run Python Code with Python API on New Lead Created from Zendesk Sell API

Zendesk Sell + Python

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Popular Zendesk Sell and Python Triggers#

New Contact Created from the Zendesk Sell API

Emit new event when a new contact is created in Zendesk Sell.

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New Deal Created from the Zendesk Sell API

Emit new event when a new deal is created in Zendesk Sell.

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New Lead Created from the Zendesk Sell API

Emit new event when a new lead is created in Zendesk Sell.

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Popular Zendesk Sell and Python Actions#

Create Contact with the Zendesk Sell API

Creates 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 Lead with the Zendesk Sell API

Creates a new lead. See the documentation.

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Create Task with the Zendesk Sell API

Creates a new task. See the documentation.

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Connect Zendesk Sell#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zendesk_sell: {
      type: "app",
      app: "zendesk_sell",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.getbase.com/v2/users/self`,
      headers: {
        Authorization: `Bearer ${this.zendesk_sell.$auth.oauth_access_token}`,
        "accept": `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}}

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