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with Cobalt and Python?
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Popular Cobalt 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 Cobalt#
The Cobalt API offers the power to interact with a robust penetration testing platform that assists in identifying vulnerabilities and security loopholes within your digital assets. By integrating this API with Pipedream, you can create automated workflows that trigger actions based on the findings of security tests, streamline the communication of these results within your team, and connect them with other tools to manage remediation processes efficiently.
Connect Cobalt#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cobalt: {
type: "app",
app: "cobalt",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://cobalt-api.cobaltgp.com/v0/companies`,
headers: {
"Authorization": `${this.cobalt.$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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies