Integrate the IP2Location API with the Python API

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

Start for free — no credit card required

Watch a demo

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

Popular IP2Location and Python Actions#

Query IP address with the IP2Location API

Query IP address using IP2Location API. See the docs here for how to use this API.

Try it

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 IP2Location#

The IP2Location API enables you to uncover valuable information about an IP address. With it, you can pinpoint a user's geographic location, such as country, region, city, and even latitude and longitude coordinates. This data is essential for various tasks like localizing content, analyzing traffic, or enhancing security by detecting potentially malicious activity. Using Pipedream, you can automate actions based on IP location data, integrating it with hundreds of other services without writing any code.

Connect IP2Location#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ip2location: {
      type: "app",
      app: "ip2location",
    },
    ip: {
      type: "string",
      default: "142.113.220.31"
    },
    package: {
      type: "string",
      default: "WS1"
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.ip2location.com/v2`,
      params: {
        key: `${this.ip2location.$auth.api_key}`,
        ip: `${this.ip}`,
        package: `${this.package}`,
      },
    })
  },
})

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}}

Start for free — no credit card required

Watch a demo