Integrate the Product Fruits API with the Python API

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

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Popular Product Fruits and Python Actions#

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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Overview of Product Fruits#

The Product Fruits API offers tools for enhancing user experience with in-app guidance like tooltips, walkthroughs, and announcements. By leveraging this API within Pipedream, you can automate the creation, update, and tracking of these UX elements based on user behavior or feedback, enrich product engagement, and drive feature adoption. Combining Product Fruits with Pipedream's capabilities opens a realm of possibilities, from syncing user data to triggering in-app messages based on external events.

Connect Product Fruits#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    product_fruits: {
      type: "app",
      app: "product_fruits",
    }
  },
  async run({steps, $}) {
    const data = { "user": {
        "username": "name@example.com", // REQUIRED, must be unique
    } }
    return await axios($, {
      method: "post",
      url: `https://api.productfruits.com/identify`,
      headers: {
        Authorization: `Bearer ${this.product_fruits.$auth.api_key}`,
      },
      data,
    })
  },
})

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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