Integrate the ipbase API with the Python API

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

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Popular ipbase and Python Actions#

Check IP Address with the ipbase API

Checks the provided IP address (both v4 & v6 formats) and returns all available information. 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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Get ASN Info with the ipbase API

Retrieves information for a specific ASN (autonomous system number). See the docs here

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List Domains with the ipbase API

Retrieves all domains hosted on a single IP address. See the docs here

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Overview of ipbase#

The ipbase API offers the ability to get detailed information about IP addresses, including geolocation data, ISP details, and connection type. Using this API on Pipedream allows for the automation of tasks like analyzing web traffic, customizing user content based on location, and enhancing cybersecurity measures by detecting unusual IP activities. On Pipedream, you can integrate this API into workflows that trigger automatically, process the data, and connect with other services for comprehensive solutions.

Connect ipbase#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ipbase: {
      type: "app",
      app: "ipbase",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.ipbase.com/v2/info`,
      params: {
        apikey: `${this.ipbase.$auth.api_key}`,
      },
    })
  },
})

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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