Integrate the Proofly API with the Python API

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

Popular Ways to Connect Proofly with Python#

Run Python Code with Python API on New Notification Data Created from Proofly API

Proofly + Python

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Popular Proofly and Python Triggers#

New Notification Data Created from the Proofly API

Emit new event when notification data is received. See the documentation

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Popular Proofly and Python Actions#

Get Notification Data with the Proofly API

Get data for a notification. See the documentation 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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Toggle Campaign Status with the Proofly API

Switch a campaign's status between active and inactive. See the documentation

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Overview of Proofly#

The Proofly API enables you to create, manage, and deploy social proof notifications on your website to boost conversions. It provides various endpoints that allow you to automate the process of updating notifications based on specific triggers or events. Using Pipedream, you can create workflows that integrate with the Proofly API to dynamically control these notifications, respond to analytics, and sync with your marketing or sales tools to optimize user engagement.

Connect Proofly#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    proofly: {
      type: "app",
      app: "proofly",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://proofly.io/api/user`,
      headers: {
        "X-Api-Key": `${this.proofly.$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#

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}}