Unbounce

Unbounce landing pages have helped businesses turn billions of visitors into leads, sales, and signups. (Literally.) Combining that data with AI, Unbounce lets you create custom landing pages twice as fast as old-school builders.

Integrate the Unbounce API with the Python API

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

Run Python Code with Python API on New Form Submission Received from Unbounce API
Unbounce + Python
 
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New Form Submission Received from the Unbounce API

Emit new event when a new form submit is received.

 
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Get Page Lead with the Unbounce API

Get info of single Lead. See the documentation

 
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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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List Page Leads with the Unbounce API

Retrieve a list of all leads for a given page (including AMP), pop-up, or sticky-bar. See the documentation

 
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Overview of Unbounce

The Unbounce API lets you tap into the powerful landing page platform to automate tasks and sync data with other services. Use it within Pipedream workflows to capture, analyze, and act on leads generated through your landing pages. Think of fetching form submissions, updating leads in a CRM, or dynamically modifying landing page content.

Connect Unbounce

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    unbounce: {
      type: "app",
      app: "unbounce",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.unbounce.com/users/self`,
      headers: {
        Authorization: `Bearer ${this.unbounce.$auth.oauth_access_token}`,
        "Accept": `application/vnd.unbounce.api.v0.4+json`,
      },
    })
  },
})

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

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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}}