Email Verifier Api
Enterprise grade cloud based transactional email verification solution compatible with all programming languages.
Integrate the Email Verifier Api API with the Python API
Setup the Email Verifier Api API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Email Verifier Api and Python remarkably fast. Free for developers.
Popular Email Verifier Api and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Email Verifier Api#
The Email Verifier API provides a means to validate email addresses in real-time, checking their existence, validity, and quality. By integrating this API with Pipedream, you can automate workflows that improve your email marketing efforts, maintain a clean email list, and enhance user verification processes. Using Pipedream's serverless platform, you can connect the Email Verifier API with numerous other services to create custom, event-driven workflows.
Connect Email Verifier Api#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
email_verifier_api: {
type: "app",
app: "email_verifier_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://emailverifierapi.com/v2/`,
params: {
apiKey: `${this.email_verifier_api.$auth.api_key}`,
email: `sergio@pipekit.pro`,
},
})
},
})
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}}