Integrate the Clearbit API with the Python API

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

Popular Clearbit and Python Actions#

Company Name to Domain with the Clearbit API

The Company Name to Domain action lets you convert the exact name of a company to a website domain, and a logo. 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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Domain lookup with the Clearbit API

The Company API allows you to look up a company by their domain. See the docs here.

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Email lookup with the Clearbit API

This endpoint retrieves a person by email address. See the docs here

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Find Companies with the Clearbit API

Find companies via specific criteria. See the docs here

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Overview of Clearbit#

Clearbit API offers robust data enrichment capabilities, allowing you to seamlessly integrate comprehensive business intelligence into your applications. By leveraging Clearbit, you can append real-time insights to your leads, automate personalized outreach, and gain a deeper understanding of your customers. With insights ranging from company profiles, contact details, to employment information, the possibilities to enhance your marketing, sales, and customer support efforts are vast.

Connect Clearbit#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    clearbit: {
      type: "app",
      app: "clearbit",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://person.clearbit.com/v1/people/email/alex@alexmaccaw.com`,
      headers: {
        Authorization: `Bearer ${this.clearbit.$auth.secret_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}}