Snappy

Snappy is a help desk application for managing your email, providing customer self service and efficiently managing all your customer service tickets.

Integrate the Snappy API with the Python API

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

Run Python Code with Python API on New Ticket Assigned To Me from Snappy API
Snappy + Python
 
Try it
Run Python Code with Python API on New Ticket Create from Snappy API
Snappy + Python
 
Try it
Run Python Code with Python API on New Waiting Ticket Created from Snappy API
Snappy + Python
 
Try it
Run Python Code with Python API on New Wall Post Created from Snappy API
Snappy + Python
 
Try it
New Ticket Assigned To Me from the Snappy API

Emit new event when a new ticket is assigned to me.

 
Try it
New Ticket Create from the Snappy API

Emit new event on each ticket created.

 
Try it
New Waiting Ticket Created from the Snappy API

Emit new event when a waiting ticket is created.

 
Try it
New Wall Post Created from the Snappy API

Emit new event on each wall post created.

 
Try it
Create Wall Post with the Snappy API

Creates a wall post. See docs here

 
Try it
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.

 
Try it

Overview of Snappy

The [Snappy API](https://besnappy.com is a comprehensive set of tools that
provides developers the capability to build powerful customer service
applications. From automating support workflows and building customer-facing
chatbots, to integrating with enterprise systems, the Snappy API can do it all.

The main features of the Snappy API are focused on helping developers design
and deploy custom customer service applications. These features enable
development teams to build tools such as:

  • Automation: Automate interactions with customers by routing inquiries to the
    right people, popping in AI-enabled chatbot conversations and delivering
    personalized content to customers with ease.
  • Agency: Integrate with websites, mobile applications and our comprehensive
    agency platform to create custom customer support experiences that fit a
    user’s specific needs.
  • Conversations: Engage customers through real-time conversations and intuitive
    support flows with all communications managed through a single dashboard.
  • Insights: Analyze customer conversations and turn them into actionable
    insights using AI-driven analytics to improve customer experience.
  • Integration: Connect Snappy to different enterprise systems to get the most
    out of your customer service processes.

Examples of Applications that Can be Built with the Snappy API:

  • Automated customer ticketing systems
  • Self-service portals
  • Chatbot applications
  • Help desk applications
  • Customer relationship management (CRM) systems
  • Virtual assistant applications
  • Customer feedback systems
  • Knowledge bases

Connect Snappy

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    snappy: {
      type: "app",
      app: "snappy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.besnappy.com/api/v1/accounts`,
      auth: {
        username: `${this.snappy.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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

1
2
3
4
5
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}}