Integrate the Fomo API with the Python API

Fomo

Fomo delivers social proof to create website conversion momentum. The Fomo app does this by enabling online experience that feels like a busy store. When a person converts -- whether buying a new jacket, signing up for a retreat, or anything else -- Fomo shows this activity off to other visitors to drive action.

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

Popular Ways to Connect Fomo with Python#

Run Python Code with Python API on New Event Received from Fomo API

Fomo + Python

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Popular Fomo and Python Triggers#

New Event Received from the Fomo API

Emit new event on each new site event received.

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Popular Fomo and Python Actions#

Create Event with the Fomo API

Creates an event. See 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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Overview of Fomo#

The Fomo API enables real-time social proof by broadcasting customer interactions, like purchases or sign-ups, to site visitors, fostering a sense of urgency and trust. Leveraging this API on Pipedream, developers can create dynamic, event-driven workflows that respond to these social cues with automated actions like sending emails, updating CRM records, or triggering custom notifications.

Connect Fomo#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    fomo: {
      type: "app",
      app: "fomo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.fomo.com/api/v1/applications/me`,
      headers: {
        "Content-Type": `application/json`,
        "Authorization": `Token ${this.fomo.$auth.api_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}}