Integrate the Gryd API with the Python API

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

Popular Gryd and Python Actions#

Get Vehicle Data with the Gryd API

Fetches data for a specific vehicle from the Gryd API. 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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Get Vehicle DVLA Data with the Gryd API

Fetches DVLA data for a specific vehicle from the Gryd API. See the documentation

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Get Vehicle MOT Data with the Gryd API

Fetches MOT data for a specific vehicle from the Gryd API. See the documentation

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Get Vehicle ULEZ Data with the Gryd API

Fetches ULEZ data for a specific vehicle from the Gryd API. See the documentation

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Overview of Gryd#

The Gryd API is a resourceful tool for accessing data related to real estate, such as apartment listings, property details, and pricing information. Within Pipedream's serverless platform, you can employ Gryd API to automate workflows, sync data across various apps, and extract real-time insights from the housing market. Leveraging Pipedream's ability to connect to hundreds of apps, you can integrate Gryd data with other services, such as CRMs, messaging apps, or spreadsheets, to streamline operations, alert users, or analyze property trends.

Connect Gryd#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gryd: {
      type: "app",
      app: "gryd",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.gryd.org/vehicle/vrm/{{your_vrm_number}}`,
      headers: {
        "X-API-KEY": `${this.gryd.$auth.api_key}`,
      },
    })
  },
})

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}}