What do you want to automate
with Beekeeper and Python?
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Popular Ways to Connect Beekeeper with Python#
Popular Beekeeper and Python Triggers#
Emit new event instantly when a new chat message is created in any chat the user is a member of. See the documentation
Emit new event when a new comment is created. See the documentation
Emit new event when a new user is created. See the documentation
Popular Beekeeper and Python Actions#
Create a new text or multimedia post in a defined stream. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Retrieve the profile details of a specific user. See the documentation
Send a precomposed message to a defined group chat. See the documentation
Overview of Beekeeper#
The Beekeeper API enables seamless integration of its workplace communications platform with other business tools and systems, enhancing team collaboration and operational efficiency. By leveraging the Beekeeper API on Pipedream, you can automate the flow of information between Beekeeper and various applications, trigger actions based on messages or alerts, and synchronize data across your organization's tools. Pipedream's serverless architecture simplifies the process of setting up these automations without the need for dedicated infrastructure.
Connect Beekeeper#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
beekeeper: {
type: "app",
app: "beekeeper",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.beekeeper.$auth.subdomain}.beekeeper.io/api/2/config`,
headers: {
Authorization: `Bearer ${this.beekeeper.$auth.access_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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies