Integrate the Mapbox API with the Python API

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

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Popular Mapbox 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 Mapbox#

The Mapbox API offers a suite of tools for developers to integrate location-based services into their applications. With Pipedream, you can leverage Mapbox's capabilities to create complex automations and workflows, like real-time mapping, geocoding, and route optimization. Whether you're managing delivery routes, analyzing spatial data, or personalizing user experiences based on location, Mapbox provides the geographical intelligence that, when combined with Pipedream's serverless platform, can turn these ideas into efficient, automated processes.

Connect Mapbox#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mapbox: {
      type: "app",
      app: "mapbox",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.mapbox.com/directions/v5/mapbox/driving/41.41338%2C2.27403%3B41.40338%2C2.17403`,
      params: {
        access_token: `${this.mapbox.$auth.access_token}`,
        alternatives: `true`,
        geometries: `geojson`,
        language: `en`,
        overview: `simplified`,
        steps: `true`,
      },
    })
  },
})

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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