Integrate the Botstar API with the Python API

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

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Popular Botstar 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 Botstar#

Botstar API lets you extend the capabilities of Botstar's chatbot platform. It empowers you to programmatically manage and interact with your chatbots, access chat and user data, and integrate with external services. With Pipedream, you can leverage these API functions to automate workflows between Botstar and other apps, trigger actions based on chat events, or synchronize chatbot data with CRM platforms, databases, or marketing tools.

Connect Botstar#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    botstar: {
      type: "app",
      app: "botstar",
    }
  },
  async run({steps, $}) {
    const data = {
      "messages": `[{"text": "Hello World"}]`,
      "userId": `9999999999`,
    }
    return await axios($, {
      method: "post",
      url: `https://api2.botstar.com/broadcast`,
      headers: {
        "Content-Type": `application/json`,
      },
      params: {
        token: `${this.botstar.$auth.access_token}`,
      },
      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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