Integrate the Google reCAPTCHA API with the Python API

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

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Popular Google reCAPTCHA and Python Actions#

Validate reCAPTCHA Response with the Google reCAPTCHA API

Validate a Google reCAPTCHA request (v2 or v3). See docs here

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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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Overview of Google reCAPTCHA#

Google reCAPTCHA API helps you detect abusive traffic on your website without any user friction. It does this by presenting CAPTCHA challenges to users they need to solve before submitting forms, ensuring these actions are not generated by bots. The API returns a score, helping you decide what action to take for your website: for instance, you might require further verification for low-scoring users. With Pipedream's ability to integrate with various APIs, you can create custom workflows that trigger upon the result of a reCAPTCHA verification, streamlining both security and user experience.

Connect Google reCAPTCHA#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_recaptcha: {
      type: "app",
      app: "google_recaptcha",
    }
  },
  async run({steps, $}) {
    const data = {
      "secret": `${this.google_recaptcha.$auth.secret}`,
      "response": ``,
      "remoteip": ``,
    }
    return await axios($, {
      method: "post",
      url: `https://www.google.com/recaptcha/api/siteverify`,
      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}}

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