Integrate the Guru API with the Python API

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

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Popular Guru and Python Actions#

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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Overview of Guru#

The Guru API on Pipedream enables the automation of knowledge sharing and management tasks within your team or organization. Using this API, you can programmatically interact with Guru's knowledge base, including retrieving card details, creating new cards, and updating existing content. By leveraging Pipedream's serverless platform, you can craft workflows that trigger based on events from other services, process the data, and perform actions in Guru to keep your team's knowledge up to date and accessible.

Connect Guru#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    guru: {
      type: "app",
      app: "guru",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.getguru.com/api/v1/teams`,
      headers: {
        "Accept": `application/json`,
      },
      auth: {
        username: `${this.guru.$auth.username}`,
        password: `${this.guru.$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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