Integrate the ExpoFP API with the Python API

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

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Popular ExpoFP and Python Actions#

Add Exhibitor with the ExpoFP API

Adds an exhibitor. 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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Add Exhibitor Booth with the ExpoFP API

Adds an exhibitor booth. See the documentation

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Get Booth with the ExpoFP API

Get details of a booth. See the documentation

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Get Exhibitor with the ExpoFP API

Get details of an exhibitor. See the documentation

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Overview of ExpoFP#

The ExpoFP API enables developers to integrate floor plan management and interaction within their applications. With this API, you can access detailed information about exhibition spaces, including booth details, exhibitor information, and floor plan layouts. When you combine ExpoFP with Pipedream's serverless integration and compute platform, you can automate event management tasks, synchronize floor plan data with other systems, and enhance visitor engagement by connecting with CRM or marketing automation tools.

Connect ExpoFP#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    expofp: {
      type: "app",
      app: "expofp",
    }
  },
  async run({steps, $}) {
    const data = {
      "token": `${this.expofp.$auth.api_token}`,
    }
    return await axios($, {
      method: "post",
      url: `https://app.expofp.com/api/v1/list-events`,
      headers: {
        "Content-Type": `application/json`,
      },
      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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