Discord Bot
Use this app to interact with the Discord API using a bot in your account
Integrate the Discord Bot API with the Python API
Setup the Discord Bot API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Discord Bot and Python remarkably fast. Free for developers.
Popular Ways to Connect Discord Bot with Python#
Popular Discord Bot and Python Triggers#
Emit new event for each message posted to one or more channels
Emit new event for each forum thread message posted. Note that your bot must have the MESSAGE_CONTENT privilege intent to see the message content, see the docs here.
Emit new event for every member added to a guild. See docs here
Popular Discord Bot and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Assign a role to a user. Remember that your bot requires the MANAGE_ROLES permission. See the docs here
Create a new invite for the channel. See the docs here
Overview of Discord Bot#
The Discord Bot API unlocks the power to interact with Discord users and channels programmatically, making it possible to automate messages, manage servers, and integrate with other services. With Pipedream's serverless platform, you can create complex workflows that respond to events in Discord, process data, and trigger actions in other apps. This opens up opportunities for community engagement, content moderation, analytics, and more, without the overhead of managing infrastructure.
Connect Discord Bot#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
discord_bot: {
type: "app",
app: "discord_bot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://discord.com/api/users/@me`,
headers: {
"Authorization": `Bot ${this.discord_bot.$auth.bot_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}}