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#

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.

Overview of VerifyBee#

VerifyBee API provides powerful and secure authentication services to help keep
you and your customers safe. With VerifyBee API, you can build an array of
applications that require secure authentication and identity verification
procedures. Here are some examples of things you can build with VerifyBee API:

Mobile Applications
Online Registration Systems
Login Security Systems
Password Management Tools
E-commerce Payment Systems
Secure Digital Documents
Anti-fraud and Risk Assessments
High-risk Transactions Verification
Multi-factor Authorization Solutions

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#

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

Create automated workflows that run on a specific schedule
Compose workflows across various apps and services
React to events in cloud services or form data
Automatically create content and notifications
Construct classifications and predictions
Analyze and react to sentiment, sentiment analysis and sentiment score
Connect backends to the frontend with serverless functions
Work with files and databases
Perform web requests and fetch data
Integrate third-party APIs into your apps
Orchestrate data processing tasks and pipelines
Create powerful application APIs with authentication and authorization
Design CI/CD pipelines and Continuous Delivery services
Connect databases like MongoDB and MySQL
Monitor connections and events
Generate alerts and notifications for corresponding events

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}}