Integrate the Streamtime API with the Python API

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

Popular Ways to Connect Streamtime with Python#

Run Python Code with Python API on New Job Created from Streamtime API

Streamtime + Python

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Run Python Code with Python API on New To Do Created from Streamtime API

Streamtime + Python

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Popular Streamtime and Python Triggers#

New Job Created from the Streamtime API

Emit new event when a new job is created.

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New To Do Created from the Streamtime API

Emit new event when a new To Do is created

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Popular Streamtime and Python Actions#

Create Contact with the Streamtime API

Create a new contact in Streamtime. 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 Job with the Streamtime API

Create a new job in Streamtime. See the documentation.

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Update To-Do with the Streamtime API

Update an existing To Do in Streamtime. See the documentation.

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Overview of Streamtime#

The Streamtime API allows you to interact with the Streamtime project management platform, streamlining operations such as task management, time tracking, and project planning. On Pipedream, you can leverage this API to create automated workflows that integrate with various other services, trigger actions based on events, and sync data across apps. It's about connecting Streamtime's capabilities with other tools you use for a seamless project management experience.

Connect Streamtime#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    streamtime: {
      type: "app",
      app: "streamtime",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.streamtime.net/v1/users`,
      headers: {
        Authorization: `Bearer ${this.streamtime.$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}}