Integrate the CUFinder API with the Python API

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

Popular CUFinder and Python Actions#

Find Company Email with the CUFinder API

Finds a company's email using the domain. See the documentation

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

Find Company Phone with the CUFinder API

Find a company phone using the domain. See the documentation

Try it

Find Company Website with the CUFinder API

Finds a company's website using the company name. See the documentation

Try it

Overview of CUFinder#

The CUFinder API offers a way to tap into company data and insights, enabling users to enrich their databases with valuable information on businesses. In Pipedream, you can leverage this API to automate tasks that require company data, such as lead generation, market analysis, or enhancing customer profiles. Pipedream's serverless platform allows you to integrate CUFinder with other apps to create seamless workflows without the hassle of managing infrastructure.

Connect CUFinder#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cufinder: {
      type: "app",
      app: "cufinder",
    }
  },
  async run({steps, $}) {
    const data = {
      "apiKey": `${this.cufinder.$auth.api_key}`,
      "companyName": `{{your_company}}`,
    }
    return await axios($, {
      method: "POST",
      url: `https://api.cufinder.io/v1/cuf`,
      data,
    })
  },
})

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}}