RepairShopr

RepairShopr is a platform to manage a service or repair business with job tracking (ticketing) and an emphasis on great communication.

Integrate the RepairShopr API with the Python API

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

Run Python Code with Python API on New Customer from RepairShopr API
RepairShopr + Python
 
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Run Python Code with Python API on New Invoice from RepairShopr API
RepairShopr + Python
 
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Run Python Code with Python API on New Ticket from RepairShopr API
RepairShopr + Python
 
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New Customer from the RepairShopr API

Emit new event when a new customer is created.

 
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New Invoice from the RepairShopr API

Emit new event when a new invoice is created.

 
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New Ticket from the RepairShopr API

Emit new event when a new ticket is created.

 
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Create Customer with the RepairShopr API

Create a new customer. See the docs here

 
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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 RepairShopr API

Create a new lead. See the docs here

 
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Create Ticket with the RepairShopr API

Create a new ticket. See the docs here

 
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List Customers with the RepairShopr API

List Customers. See the docs here

 
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Overview of RepairShopr

With the RepairShopr API, you can build powerful applications revolving around
your business. Whether you're looking for data to display on an internal
dashboard, or an intuitive customer-facing kiosk, the API opens up limitless
possibilities.

Here are just a few examples of things you can build using the RepairShopr API:

  • Automate customer onboarding processes.
  • Create customer self-service portals.
  • Monitor customer, technician, and equipment performance.
  • Generate automated reports.
  • Build comprehensive dashboards to review information from all perspectives.
  • Build personalized customer accounts with detailed information.
  • Develop a comprehensive ticketing system for customer requests.
  • Create detailed estimates for customers.
  • Track inventory and stock status.
  • Monitor and control access to financial data.
  • Implement a mobile app for technicians.

Connect RepairShopr

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    repairshopr: {
      type: "app",
      app: "repairshopr",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.repairshopr.$auth.subdomain}.repairshopr.com/api/v1/me`,
      auth: {
        username: ``,
        password: ``,
      },
      params: {
        api_key: `${this.repairshopr.$auth.api_key}`,
      },
    })
  },
})

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}}