Meetup

Whatever you're looking to do this year, Meetup can help

Integrate the Meetup API with the Python API

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

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.

 
Try it

Overview of Meetup

The Meetup API on Pipedream allows you to interact with the various aspects of the Meetup platform, such as accessing group information, RSVPs, and events. By leveraging this API, you can automate event management tasks, sync Meetup data with other services, and enhance user engagement by tapping into the community-driven features of Meetup. The integration offers possibilities for streamlining event coordination, sending notifications, and analyzing attendee data for better event planning.

Connect Meetup

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    meetup: {
      type: "app",
      app: "meetup",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `query { self { id name } }`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.meetup.com/gql`,
      headers: {
        Authorization: `Bearer ${this.meetup.$auth.oauth_access_token}`,
      },
      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

1
2
3
4
5
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}}