Integrate the Abstract - IP Geolocation API API with the Python API

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

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Popular Abstract - IP Geolocation API 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 Abstract - IP Geolocation API#

The Abstract - IP Geolocation API allows you to identify the geographical location of IP addresses, providing data such as country, city, timezone, and latitude/longitude. This capability can enrich user data for analytics, customize content based on location, and enhance security by detecting unusual access patterns. When integrated with Pipedream, you can automate actions based on geolocation insights, triggering workflows that react to user locations in real-time.

Connect Abstract - IP Geolocation API#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    abstract_ip_geo: {
      type: "app",
      app: "abstract_ip_geo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://ipgeolocation.abstractapi.com/v1/?api_key=${this.abstract_ip_geo.$auth.api_key}&ip_address=75.111.82.152`,
    })
  },
})

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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