Integrate the HackerOne API with the Python API

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

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Popular HackerOne and Python Actions#

Create Group with the HackerOne API

Create a new organization group. 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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Create Invitation with the HackerOne API

Invite a recipient to an organization using their email address. See the documentation

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Get Members with the HackerOne API

List all members of an organization. See the documentation

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Overview of HackerOne#

The HackerOne API enables automated interactions with the HackerOne platform, facilitating the management of vulnerability coordination and bug bounty programs. Through this API, users can programmatically access their reports, manage vulnerabilities, and streamline communications with researchers. When used within Pipedream, you can leverage these functionalities to automate workflows, integrate with other services like Slack, GitHub, and Jira, and enhance your security operations by ensuring timely responses and updates.

Connect HackerOne#

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