Integrate the Teamcamp API with the Python API

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

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Popular Teamcamp and Python Actions#

Create Project with the Teamcamp API

Create a new project in the Workspace. 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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Create Task with the Teamcamp API

Create a new task in the Project. See the documentation

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Overview of Teamcamp#

Teamcamp API facilitates seamless collaboration and project management by providing access to task, project, and team management functionalities programmatically. This API can be leveraged on Pipedream to automate routine operations, synchronize project data across multiple platforms, and enhance team productivity through custom integrations and automated workflows. With Teamcamp API on Pipedream, you can design workflows that trigger on specific actions within Teamcamp, manipulate data, and interact with other apps to streamline complex business processes.

Connect Teamcamp#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    teamcamp: {
      type: "app",
      app: "teamcamp",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.teamcamp.app/v1.0/verify`,
      headers: {
        "apiKey": `${this.teamcamp.$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#

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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