Integrate the SpamCheck.ai API with the Python API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular SpamCheck.ai and Python Actions#

Delete Report with the SpamCheck.ai API

Delete a spam report. See the documentation

Try it

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.

Try it

Spam Check with the SpamCheck.ai API

Post a new spam check for an email or IP. See the documentation

Try it

Spam Report with the SpamCheck.ai API

Create a new spam report. See the documentation

Try it

Connect SpamCheck.ai#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    spamcheck_ai: {
      type: "app",
      app: "spamcheck_ai",
    }
  },
  async run({steps, $}) {
    const data = {
      "ip": "48.43.57.145",
      "email": "john.smith@fabrikam.com",
      "body": {},
      "result": true,
      "desired_outcome": true,
      "notes": "Spam report"
    }
    return await axios($, {
      method: "post",
      url: `https://api.spamcheck.ai/api/v1/spam_reports`,
      headers: {
        "accept": `application/json`,
        "Api-Key": `${this.spamcheck_ai.$auth.api_key}`,
      },
      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}}

Start for free — no credit card required

Watch a demo