Integrate the IP2Location.io API with the Python API

Setup the IP2Location.io API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate IP2Location.io and Python remarkably fast. Free for developers.

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Popular IP2Location.io and Python Actions#

Lookup IP Address with the IP2Location.io API

Retrieve geolocation data about an IP Address. See the docs here

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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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Overview of IP2Location.io#

The IP2Location.io API enables you to identify a user's geographical location based on their IP address. With it, you can fetch details like country, region, city, latitude, longitude, ZIP code, time zone, ISP, domain, and more. On Pipedream, this becomes a powerful tool to enrich event data, customize user experiences based on location, or even detect suspicious activities by comparing known user locations to new, anomalous ones. Since Pipedream can connect to countless APIs, you can automate processes that depend on geolocation information, triggering actions across different services.

Connect IP2Location.io#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ip2location_io: {
      type: "app",
      app: "ip2location_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.ip2location.io/`,
      params: {
        key: `${this.ip2location_io.$auth.api_key}`,
        ip: `{{your_ip_address}}`,
      },
    })
  },
})

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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