RealPhoneValidation

RealPhoneValidation.com tells you plain and simple: is the phone line connected or disconnected. For anyone using a phone contact, knowledge of connect/disconnect is invaluable information for lead valuation.

Integrate the RealPhoneValidation API with the Python API

Setup the RealPhoneValidation API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate RealPhoneValidation 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 RealPhoneValidation

With the RealPhoneValidation API, users can verify and validate phone numbers to ensure their accuracy and activity. This is crucial for businesses that rely on phone communication to connect with customers, as it helps to reduce wasted resources on invalid numbers and improves the efficiency of outreach campaigns. By integrating this API into Pipedream, you can automate phone number validation within your workflows and seamlessly combine this process with other actions and data from a wide variety of apps to enhance lead validation, customer onboarding, and user authentication processes.

Connect RealPhoneValidation

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    realphonevalidation: {
      type: "app",
      app: "realphonevalidation",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.realvalidation.com/rpvWebService/RealPhoneValidationTurbo.php`,
      headers: {
        "Content-Type": `application/json`,
      },
      params: {
        output: `json`,
        phone: `6197211158`,
        token: `${this.realphonevalidation.$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}}