VerifyBee
VerifyBee is a fast and accurate customer verification service written on top of some of the must cutting edge technologies.
Integrate the VerifyBee API with the Python API
Setup the VerifyBee API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate VerifyBee and Python remarkably fast. Free for developers.
Popular VerifyBee 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 VerifyBee#
VerifyBee is a powerful tool designed for validating emails and phone numbers, ensuring that your contact lists are accurate and up-to-date. By integrating VerifyBee with Pipedream, you can automate the process of cleaning your contact data across various platforms, trigger communications with confidence, and maintain the integrity of your CRM or customer databases. The API allows developers to check the validity of emails and phone numbers, which can be crucial for reducing bounce rates and improving communication efficiency.
Connect VerifyBee#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
verifybee: {
type: "app",
app: "verifybee",
}
},
async run({steps, $}) {
const data = {
"email": `marc@salesforce.com`,
}
return await axios($, {
method: "post",
url: `https://app.verifybee.io/api/v1.3/verify/`,
headers: {
"Vb-Token": `${this.verifybee.$auth.api_key}`,
},
data,
})
},
})
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}}