Integrate the VisualPing API with the Python API

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

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Popular Ways to Connect VisualPing with Python#

Run Python Code with Python API on New Alert Received from VisualPing API

VisualPing + Python

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Run Python Code with Python API on New Job Created from VisualPing API

VisualPing + Python

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Run Python Code with Python API on New Job Event from VisualPing API

VisualPing + Python

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Popular VisualPing and Python Triggers#

New Alert Received from the VisualPing API

Emit new event when a change alert is sent.

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New Job Created from the VisualPing API

Emit new event for each new job created.

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New Job Event from the VisualPing API

Emit new event for each new job event.

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Popular VisualPing and Python Actions#

Create A New Job with the VisualPing API

Creates a new job that will belong to a given user or workspace. See the docs here

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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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Delete Job with the VisualPing API

Delete an existing job by id. See the docs here

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Find Jobs with the VisualPing API

Find existing jobs using filters. See the docs here

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Get Job Details By Id with the VisualPing API

Get an existing job by id. See the docs here

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Overview of VisualPing#

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#

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}}

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