What do you want to automate

with BotConversa and Python?

Prompt, edit and deploy AI agents that connect to BotConversa, Python and 3,000+ other apps in seconds.

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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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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.

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#

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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#

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
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