WebinarFuel

All-In-One Automated Webinar Software.

Integrate the WebinarFuel API with the Python API

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

Add New Registrant with the WebinarFuel API

Creates a new registrant for a selected webinar. 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 Tags To Registrant with the WebinarFuel API

Adds tags to an existing registrant. See the documentation

 
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Overview of WebinarFuel

The WebinarFuel API allows users to automate their webinar marketing efforts directly within Pipedream. By integrating WebinarFuel's functionalities, users can manage registrations, send reminders, or handle attendee data in real-time. This can be particularly useful for enriching attendee data, syncing webinar information with other business tools, and managing the entire webinar lifecycle programmatically.

Connect WebinarFuel

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    webinarfuel: {
      type: "app",
      app: "webinarfuel",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.webinarfuel.com/webinars/`,
      headers: {
        Authorization: `Bearer ${this.webinarfuel.$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}}