Integrate the Akismet API with the Python API

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

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Popular Akismet 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 Akismet#

The Akismet API is a powerful ally in the fight against spam. This API allows you to check comments and contact form submissions against Akismet's database of known spam. It can also provide valuable insights into the nature of the content being analyzed, helping you determine whether it's a legitimate message or an unwanted interruption. By integrating Akismet with Pipedream, you can streamline the spam filtering process across various platforms, ensure the integrity of user-generated content, and maintain a cleaner digital environment.

Connect Akismet#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    akismet: {
      type: "app",
      app: "akismet",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://rest.akismet.com/1.2/usage-limit`,
      headers: {
        "accept": `application/json`,
      },
      params: {
        api_key: `${this.akismet.$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}}

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