GetProspect

Find anyone's business email address. GetProspect would provide you with anyone's email from LinkedIn.

Integrate the GetProspect API with the Python API

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

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

Overview of GetProspect

GetProspect offers a powerful API to automate the process of finding and verifying professional email addresses. Harnessing this capability within Pipedream, you can create streamlined workflows that not only gather leads but also integrate them into your marketing or sales pipelines. Imagine enhancing your CRM with fresh leads, syncing contact info across tools, or setting up alerts when certain lead criteria are met—all of this can be orchestrated within Pipedream's serverless platform.

Connect GetProspect

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    getprospect: {
      type: "app",
      app: "getprospect",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.getprospect.com/public/v1/email/verify`,
      headers: {
        "apiKey": `${this.getprospect.$auth.api_key}`,
      },
      params: {
        email: `support@getprospect.com`,
      },
    })
  },
})

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}}