Integrate the Splunk API with the Python API

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

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Popular Ways to Connect Splunk with Python#

Run Python Code with Python API on New Alert Fired (Instant) from Splunk API

Splunk + Python

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Run Python Code with Python API on New Search Event from Splunk API

Splunk + Python

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Run Python Code with Python API on New Search Result from Splunk API

Splunk + Python

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Popular Splunk and Python Triggers#

New Alert Fired (Instant) from the Splunk API

Emit new event when a new alert is triggered in Splunk. See the documentation

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New Search Event from the Splunk API

Emit new event when a new search event is created. See the documentation

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New Search Result from the Splunk API

Emit new events when a search returns results in Splunk. See the documentation

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Popular Splunk and Python Actions#

Create Event with the Splunk API

Sends a new event to a specified Splunk index. 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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Get Search Job Status with the Splunk API

Retrieve the status of a previously executed Splunk search job. See the documentation

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Run Search with the Splunk API

Executes a Splunk search query and returns the results. See the documentation

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Connect Splunk#

import { axios } from "@pipedream/platform";
import https from "https";

export default defineComponent({
  props: {
    splunk: {
      type: "app",
      app: "splunk",
    }
  },
  async run({steps, $}) {
    const selfSigned = this.splunk.$auth.self_signed;
    const agent = new https.Agent({
		  rejectUnauthorized: !selfSigned
	  });
    return await axios($, {
      url: `${this.splunk.$auth.api_url}:${this.splunk.$auth.api_port}/services/authentication/current-context`,
      httpsAgent: agent,
      headers: {
        "content-type": `application/json`,
        "authorization": `Splunk ${this.splunk.$auth.api_token}`,
      },
      params: {
        output_mode: `json`,
      },
    })
  },
})

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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