Rapid7 Insight Platform
Security analytics platform, gives you the answers needed to find, manage, and reduce risk.
Integrate the Rapid7 Insight Platform API with the Python API
Setup the Rapid7 Insight Platform API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Rapid7 Insight Platform and Python remarkably fast. Free for developers.
Popular Rapid7 Insight Platform and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Rapid7 Insight Platform#
The Rapid7 Insight Platform API allows users to automate and integrate their security data with other applications. By harnessing this API on Pipedream, you can create custom workflows to streamline security operations, such as automating threat detection, managing vulnerabilities, or orchestrating incident response. This means you can connect the Insight Platform's capabilities with numerous other apps to trigger actions, process data, and get real-time insights, all within Pipedream's low-code environment.
Connect Rapid7 Insight Platform#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rapid7_insight_platform: {
type: "app",
app: "rapid7_insight_platform",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://us.api.insight.rapid7.com/validate`,
headers: {
"X-Api-Key": `${this.rapid7_insight_platform.$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}}