Integrate the BuildChatbot API with the Python API

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

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Popular BuildChatbot 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 BuildChatbot#

The BuildChatbot API allows you to create and manage chatbots with ease. This API provides a suite of tools to build conversational AI that can engage with users across various platforms. On Pipedream, you can leverage these capabilities to automate interactions, analyze sentiments, and connect with other services. With Pipedream's serverless platform, you can trigger workflows based on chatbot events, send data to and from your chatbot, and integrate with countless apps to extend functionality.

Connect BuildChatbot#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    buildchatbot: {
      type: "app",
      app: "buildchatbot",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.buildchatbot.ai/api/v1/profile_details/`,
      headers: {
        Authorization: `Bearer ${this.buildchatbot.$auth.oauth_access_token}`,
      },
    })
  },
})

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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