Crowd.dev

Crowd.dev is the developer community data platform - Understand, grow, and leverage your developer community with zero hassle.

Integrate the Crowd.dev API with the Python API

Setup the Crowd.dev API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Crowd.dev 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 Crowd.dev

Crowd.dev is an API that enriches your understanding of your developer community by aggregating data from various platforms like GitHub, GitLab, and more. By connecting to Crowd.dev, you can track community activity, identify top contributors, and gauge the health of your open-source projects. Pipedream simplifies and amplifies the potential of the Crowd.dev API by allowing you to create automated workflows that respond to events in real-time, like new contributions, issues, or discussions.

Connect Crowd.dev

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    crowd_dev: {
      type: "app",
      app: "crowd_dev",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.crowd.dev/api/auth/me`,
      headers: {
        Authorization: `Bearer ${this.crowd_dev.$auth.bearer_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

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}}