Integrate the Data Axle Platform API with the Python API

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

Popular Data Axle Platform and Python Actions#

Get Person with the Data Axle Platform API

Retrive a specific person by id. 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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Search Companies with the Data Axle Platform API

Find relevant listings in the database. See the docs here

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Overview of Data Axle Platform#

Data Axle Platform API gives you access to rich datasets encompassing business, consumer, and donor information. It can empower your Pipedream workflows to execute potent data-driven strategies, such as enriching leads, verifying business details, and tailoring marketing campaigns based on demographic insights. You can tap into this well of information, integrate it with other apps, and automate actions based on the data you query.

Connect Data Axle Platform#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    data_axle_platform: {
      type: "app",
      app: "data_axle_platform",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.data-axle.com/v1/places/search`,
      headers: {
        "X-AUTH-TOKEN": `${this.data_axle_platform.$auth.api_token}`,
      },
      params: {
        query: `{your_query}`,
        packages: `standard_v1`,
      },
    })
  },
})

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}}