Gender API

Keep your registration forms simple. Optimize your conversions and let us determine the gender of your customers.

Integrate the Gender API API with the Python API

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

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

Overview of Gender API

The Gender API on Pipedream allows you to determine the gender of a name programmatically. By leveraging the API, you can enrich user profiles, tailor content, segment audiences, and ensure targeted communication. It's a powerful tool for marketers, HR professionals, and application developers who seek to personalize user experiences or analyze demographic data without manual guesswork.

Connect Gender API

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    gender_api: {
      type: "app",
      app: "gender_api",
    }
  },
  async run({steps, $}) {
    const data = {
      "first_name": `YOUR_FIRST_NAME`,
    }
    return await axios($, {
      method: "post",
      url: `https://gender-api.com/v2/gender`,
      headers: {
        Authorization: `Bearer ${this.gender_api.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      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

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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}}