Wishpond

Reach new customers and increase sales, affordably. Get the all-in-one marketing platform you need to grow your business and a team of experts doing the work for you.

Integrate the Wishpond API with the Python API

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

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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.

 
Try it

Overview of Wishpond

Wishpond's API unlocks a world where digital marketing efforts can be automated and customized at scale. With this powerful tool at your disposal on Pipedream, you can create, manage, and track marketing campaigns effortlessly. Leverage Wishpond to capture leads, nurture them through personalized emails, and analyze the performance of your marketing strategies. By integrating with Pipedream, you capitalize on the ability to connect Wishpond with hundreds of apps, triggering actions based on campaign events, syncing leads to CRMs, and automating follow-up tasks without writing a single line of code.

Connect Wishpond

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    wishpond: {
      type: "app",
      app: "wishpond",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.wishpond.com/api/v1/leads/`,
      headers: {
        "X-Api-Token": `${this.wishpond.$auth.api_key}`,
      },
    })
  },
})

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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo