ArcGIS Online

Connect people, locations, and data using interactive maps. Work with smart, data-driven styles and intuitive analysis tools. Share your insights with the world or specific groups.

Integrate the ArcGIS Online API with the Python API

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

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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.

 
Try it

Overview of ArcGIS Online

The ArcGIS Online API lets you work with ESRI's platform for mapping and spatial analysis. In Pipedream, harness this API to craft workflows combining GIS data management, location-based analytics, and automated mapping tasks. Pipedream's serverless architecture means you can trigger these workflows via HTTP requests, schedule them, or even fire them in response to emails or form submissions.

Connect ArcGIS Online

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    arcgis_online: {
      type: "app",
      app: "arcgis_online",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://basemapstyles-api.arcgis.com/arcgis/rest/services/styles/v2/styles/arcgis/outdoor`,
      headers: {
        Authorization: `Bearer ${this.arcgis_online.$auth.oauth_access_token}`,
      },
    })
  },
})

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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo