Integrate the BotConversa API with the Python API

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

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Popular BotConversa and Python Actions#

Add Tag with the BotConversa API

Add tags to a specific subscriber. See the documentation

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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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Create Subscriber with the BotConversa API

Create a new subscriber. See the documentation

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Send Message with the BotConversa API

Send a message to a specific subscriber. See the documentation

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Overview of BotConversa#

The BotConversa API allows for the automation and integration of chatbot services into various platforms, fostering seamless interactions with users. With this API, you can create, manage, and deploy conversational bots that can engage with users in real-time, providing support, gathering feedback, or even conducting surveys. On Pipedream, you can concoct workflows that trigger actions within BotConversa or respond to events, such as new messages or user queries. This opens the door to a world where chatbots become a part of larger automation schemes, interacting with other apps and services to streamline communication processes.

Connect BotConversa#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    botconversa: {
      type: "app",
      app: "botconversa",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://backend.botconversa.com.br/api/v1/webhook/campaigns/`,
      headers: {
        "Accept": `application/json`,
        "API-KEY": `${this.botconversa.$auth.api_key}`,
      },
    })
  },
})

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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