Integrate the Sympla API with the Python API

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

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Popular Ways to Connect Sympla with Python#

Run Python Code with Python API on New Attendee from Sympla API

Sympla + Python

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Run Python Code with Python API on New Event from Sympla API

Sympla + Python

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Run Python Code with Python API on New Order from Sympla API

Sympla + Python

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Popular Sympla and Python Triggers#

New Attendee from the Sympla API

Emit new event for each new attendee in an event.

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New Event from the Sympla API

Emit new event for each new event created in Sympla.

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New Order from the Sympla API

Emit new event for each new order in an event.

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Popular Sympla 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 Sympla#

The Sympla API allows for the seamless integration of event management capabilities into various applications or services. With this API, you can automate tasks like attendee registration, event creation, ticket sales tracking, and participant communication. It's particularly useful for event organizers looking to streamline operations and enhance the attendee experience through automation.

Connect Sympla#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sympla: {
      type: "app",
      app: "sympla",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.sympla.com.br/public/v3/events`,
      headers: {
        "s_token": `${this.sympla.$auth.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}}

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