Enrow

Reach out to your leads with deeply verified email addresses and secure more deals for your business.

Integrate the Enrow API with the Python API

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

Find Single Email with the Enrow API

Executes a single email search using Enrow email finder. 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 Single Email Finder Result with the Enrow API

Retrieve a result from a single search executed via email finder function. See the documentation

 
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Overview of Enrow

The Enrow API offers the power to automate and enhance your e-commerce operations with features like product catalog management, order processing, and customer interactions. By leveraging the Enrow API on Pipedream, you can create custom workflows that trigger actions based on specific events, integrate with other services for a seamless back-end process, and manipulate data to fit your business needs. With Pipedream's serverless platform, you can execute complex sequences of tasks with minimal setup, tapping into the vast library of pre-built actions or writing your own code steps in Node.js.

Connect Enrow

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    enrow: {
      type: "app",
      app: "enrow",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.enrow.io/account/info`,
      headers: {
        "x-api-key": `${this.enrow.$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

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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}}