Integrate the Splunk HTTP Event Collector API with the Python API

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

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Popular Splunk HTTP Event Collector and Python Actions#

Check Splunk HTTP Event Collector Health with the Splunk HTTP Event Collector API

Checks the health status of the Splunk HTTP Event Collector to ensure it is available and ready to receive events. 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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Send Batch Events with the Splunk HTTP Event Collector API

Sends multiple events in a single request to the Splunk HTTP Event Collector. See the documentation

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Send Event with the Splunk HTTP Event Collector API

Sends an event to Splunk HTTP Event Collector. See the documentation

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Connect Splunk HTTP Event Collector#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    splunk_http_event_collector: {
      type: "app",
      app: "splunk_http_event_collector",
    }
  },
  async run({steps, $}) {
    const data = {
      "event": `Hello world!`,
      "sourcetype": `manual`,
    }
    return await axios($, {
      method: "post",
      url: `${this.splunk_http_event_collector.$auth.api_url}:${this.splunk_http_event_collector.$auth.port}/services/collector`,
      headers: {
        "authorization": `Splunk ${this.splunk_http_event_collector.$auth.api_token}`,
      },
      params: {
        channel: `2AC79941-CB26-421C-8826-F57AE23E9702`,
      },
      data,
    })
  },
})

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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