Bouncer

Email Validation and Verification Service with cool Tech and truly caring People. The easiest to use, yet the most powerful.

Integrate the Bouncer API with the Python API

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

Verify Email with the Bouncer API

Verify an email. 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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Verify Email Batch with the Bouncer API

Verify multiple emails. See the documentation

 
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Overview of Bouncer

The Bouncer API provides robust email verification services. Using Pipedream, you can harness this capability to clean your mailing list, verify emails on sign-up in real-time, or even integrate it into a multi-step workflow involving other apps and services. Pipedream simplifies connecting Bouncer with hundreds of other services for automating tasks, such as sending a welcome email via SendGrid to verified addresses or adding them to a Google Sheet.

Connect Bouncer

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bouncer: {
      type: "app",
      app: "bouncer",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.usebouncer.com/v1/customer/user/current/credit`,
      headers: {
        "x-api-key": `${this.bouncer.$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}}