Rollbar

Find and fix code errors faster.

Integrate the Rollbar API with the Python API

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

Create a Project with the Rollbar API

Creates a new project in Rollbar. 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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Delete a Project with the Rollbar API

Deletes a project in Rollbar. See the documentation

 
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List Projects with the Rollbar API

Lists all projects in Rollbar. See the documentation

 
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Overview of Rollbar

Rollbar is an error tracking software that provides you with the ability to monitor, analyze, and manage errors in real-time. Through its API, Rollbar offers endpoints for fetching items, updating items, and managing projects, among other tasks. Integrating the Rollbar API on Pipedream allows you to automate responses to errors, synchronize error data with other tools, and create custom alerts or dashboards. With Pipedream's serverless platform, you can connect Rollbar events to hundreds of other services without writing complex code.

Connect Rollbar

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rollbar: {
      type: "app",
      app: "rollbar",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.rollbar.com/api/1/users`,
      headers: {
        "Accept": `application/json`,
        "X-Rollbar-Access-Token": `${this.rollbar.$auth.access_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

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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}}