Integrate the Chatbotic API with the Python API

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

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Popular Chatbotic 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 Chatbotic#

The Chatbotic API enables the creation and integration of chatbots with various platforms. With this API, you can automate conversations, craft responses based on user input, and manage bot interactions efficiently. When combined with Pipedream's capabilities, you can set up serverless workflows to trigger actions in other apps based on conversations, analyze chat data, and connect your chatbot with a vast array of services to enhance its functionality.

Connect Chatbotic#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    chatbotic: {
      type: "app",
      app: "chatbotic",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://chatbotapi.is-for.us/api/getLeadsnew`,
      params: {
        "api_key ": `${this.chatbotic.$auth.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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