Integrate the Matterport API with the Python API

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

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Popular Matterport and Python Actions#

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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Overview of Matterport#

The Matterport API enables developers to harness the power of 3D spatial data, constructing immersive experiences and automating real estate, retail, and hospitality processes. With APIs allowing access to space details, models, and dimensions, users can integrate Matterport's capabilities into various applications, streamlining workflows such as virtual tour creation, space management, and asset documentation on Pipedream's serverless platform.

Connect Matterport#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    matterport: {
      type: "app",
      app: "matterport",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `{
      models(query: "demo:true", include: demo) {
        results {
          name
          demo
          id
        }
        nextOffset
        totalResults
      }
    }`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.matterport.com/api/models/graph`,
      auth: {
        username: `${this.matterport.$auth.token_id}`,
        password: `${this.matterport.$auth.token_secret}`,
      },
      data,
    })
  },
})

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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