Zendesk

Zendesk is award-winning customer service software trusted by 200K+ customers. Make customers happy via text, mobile, phone, email, live chat, social media.

Integrate the Zendesk API with the Python API

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

Run Python Code with Python API on New Ticket (Instant) from Zendesk API
Zendesk + Python
 
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Run Python Code with Python API on New Ticket Added to View (Instant) from Zendesk API
Zendesk + Python
 
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Run Python Code with Python API on Ticket Closed (Instant) from Zendesk API
Zendesk + Python
 
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Run Python Code with Python API on Ticket Pended (Instant) from Zendesk API
Zendesk + Python
 
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Run Python Code with Python API on Ticket Solved (Instant) from Zendesk API
Zendesk + Python
 
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New Ticket (Instant) from the Zendesk API

Emit new event when a ticket is created

 
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New Ticket Added to View (Instant) from the Zendesk API

Emit new event when a ticket is added to the specified view

 
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Ticket Closed (Instant) from the Zendesk API

Emit new event when a ticket has changed to closed status

 
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Ticket Pending (Instant) from the Zendesk API

Emit new event when a ticket has changed to pending status

 
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Ticket Solved (Instant) from the Zendesk API

Emit new event when a ticket has changed to solved status

 
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Create Ticket with the Zendesk API

Creates a ticket. 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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Delete Ticket with the Zendesk API

Deletes a ticket. See the documentation.

 
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Update Ticket with the Zendesk API

Updates a ticket. See the documentation.

 
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Overview of Zendesk

Using the Zendesk API, you can build custom apps and integrations to automate
processes and help your teams build better customer relationships.

The API provides a range of methods to interact with your customer help desk,
customer data, and customer communication tools. This enables you to create
custom customer experiences that are tailored to your business needs.

Some examples of what you can build using the Zendesk API include:

  • Create a custom customer feedback widget
  • Automate customer service processes
  • Identify customer trends and insights
  • Help manage customer data in real-time
  • Create a custom customer profile and segmentation tool
  • Trigger automated messages based on customer events
  • Integrate customer service processes with your company’s backend system
  • Create a custom customer self-service portal

Connect Zendesk

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

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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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}}