HeroBot Chatbot Marketing
Automate & Combine Instagram Direct Messages, Facebook Messenger, Google Business Messages, WhatsApp, Telegram, Emails, SMS text messages, Voice calls, Viber and Webchat to Generate sales, leads and Grow Your Business on autopilot.
Integrate the HeroBot Chatbot Marketing API with the Python API
Setup the HeroBot Chatbot Marketing API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate HeroBot Chatbot Marketing and Python remarkably fast. Free for developers.
Popular HeroBot Chatbot Marketing and Python Actions#
Create a new custom field in the HeroBot account. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Saves pertinent information about a new user. See the documentation
Sends a message to a user through the chatbot. See the documentation
Overview of HeroBot Chatbot Marketing#
The HeroBot Chatbot Marketing API lets you interact with the HeroBot platform to manage and deliver chatbot services. With this API, you can automate conversations, broadcast messages, and gather insights from chatbot interactions. Pipedream's serverless platform enables you to create workflows integrating HeroBot with other apps, triggering actions based on events, and processing data without managing infrastructure.
Connect HeroBot Chatbot Marketing#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
herobot_chatbot_marketing: {
type: "app",
app: "herobot_chatbot_marketing",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://my.herobot.app/api/accounts/me`,
headers: {
"X-ACCESS-TOKEN": `${this.herobot_chatbot_marketing.$auth.api_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}}