Integrate the VisualPing API with the Python API

VisualPing is a tool that lets you monitor web pages for changes. Using its API with Pipedream, you can automate reactions to those changes. For instance, you can set up workflows that notify you or your team when specific parts of a web page update, or use changes to trigger downstream actions in other apps. Pipedream's serverless platform enables you to connect VisualPing with a vast array of apps to create custom, automated workflows without writing a lot of code.

Connect VisualPing#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    visualping: {
      type: "app",
      app: "visualping",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://account.api.visualping.io/describe-user`,
      headers: {
        Authorization: `Bearer ${this.visualping.$auth.oauth_access_token}`,
      },
    })
  },
})

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}}