Integrate the Snyk API with the Python API

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

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Popular Snyk 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 Snyk#

The Snyk API provides programmatic access to Snyk's vulnerability detection capabilities, enabling you to automate security analysis and monitor for security issues in your codebases, open-source dependencies, container images, and more. On Pipedream, you can harness this API to create automated, serverless workflows that integrate Snyk's security insights with your development and operations processes. With Pipedream's ability to connect to hundreds of apps, you can seamlessly integrate Snyk's data with other services like Slack for notifications, JIRA for issue tracking, or GitHub for code management.

Connect Snyk#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    snyk: {
      type: "app",
      app: "snyk",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.snyk.io/api/v1/user/me`,
      headers: {
        "Content-Type": `application/json; charset=utf-8`,
        "Authorization": `token ${this.snyk.$auth.auth_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#

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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