SnatchBot
A revolutionary bot builder platform to add multi-channel messaging to your system.
Integrate the SnatchBot API with the Python API
Setup the SnatchBot API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate SnatchBot and Python remarkably fast. Free for developers.
Popular SnatchBot and Python Triggers#
Emit new event when a new bot message is sent. See the documentation
Popular SnatchBot and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Post a new message and receive a response from your bot. See the documentation
Overview of SnatchBot#
The SnatchBot API provides a programmatic window to SnatchBot's chatbot platform, allowing you to manage and interact with your bots outside of the SnatchBot interface. With this API, you can execute tasks like sending messages, retrieving chat history, and managing your bot's structure and behavior. When integrated into Pipedream workflows, the SnatchBot API shines in automating interactions, syncing chat data with other systems, and reacting to events with custom logic and third-party services.
Connect SnatchBot#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
snatchbot: {
type: "app",
app: "snatchbot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://account.snatchbot.me/channels/api/api/id${this.snatchbot.$auth.bot_id}/app${this.snatchbot.$auth.app_id}/aps${this.snatchbot.$auth.app_secret}`,
params: {
user_id: `{your_user_id}`,
message_id: `{your_message_id}`,
},
})
},
})
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}}