Melo

Power your business with comprehensive property data delivered via the most reactive real estate API

Integrate the Melo API with the Python API

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

Run Python Code with Python API on New Property Created (Instant) from Melo API
Melo + Python
 
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New Property Created (Instant) from the Melo API

Emit new event when a new property ad is created in Melo. Requires a Production Environment.

 
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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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Search Properties with the Melo API

Searches properties in Melo. See the documentation

 
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Overview of Melo

Melo API enables you to manage and automate tasks related to project management and team collaboration. Utilize Melo's endpoints to create tasks, update project details, manage team assignments, and retrieve project metrics. Integrating Melo API with Pipedream allows you to connect your project management workflows with other apps and services, streamlining productivity and providing real-time updates across your tech stack.

Connect Melo

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    melo: {
      type: "app",
      app: "melo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.melo.$auth.environment}.notif.immo/documents/properties`,
      headers: {
        "Content-Type": `application/json`,
        "X-API-KEY": `${this.melo.$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}}