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.
Popular ArcGIS Online and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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#
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#
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}}