Integrate the Interzoid API with the Python API

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

Popular Interzoid and Python Actions#

Generate Match Report with the Interzoid API

Generate a Match Report using a dataset table or file (CSV/TSV/Excel). See the documentation

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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 Full Name Match Score with the Interzoid API

Retrieve a match score (likelihood of matching) between two individual names on a scale of 0-100. See the documentation

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Get Organization Match Score with the Interzoid API

Retrieve a match score (likelihood of matching) from 0-100 between two organization names. See the documentation

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Overview of Interzoid#

The Interzoid API offers a plethora of data-driven APIs that enable you to enrich, standardize, and deduplicate data across various fields such as demographics, financials, and text. With these capabilities, you can enhance data quality, drive better analytics, and create more intelligent workflows and applications. In Pipedream, you can integrate these APIs into serverless workflows, triggering actions based on various events, manipulating and routing data to other apps, services, or data stores with ease.

Connect Interzoid#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    interzoid: {
      type: "app",
      app: "interzoid",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.interzoid.com/getremainingcredits`,
      params: {
        license: `${this.interzoid.$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}}