What do you want to automate
with Guru and Python?
Prompt, edit and deploy AI agents that connect to Guru, Python and 2,500+ other apps in seconds.
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Popular Guru and Python Triggers#
Emit new event when a user makes an edit to a card. See the documentation
Emit new event when a user clicks on the "I read it" button in an Announcement. See the documentation
Emit new event when a new card is published. See the documentation
Popular Guru and Python Actions#
Links an existing tag to a specified card in Guru. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Export a specific card identified by its ID to a PDF file. See the documentation
Overview of Guru#
The Guru API on Pipedream enables the automation of knowledge sharing and management tasks within your team or organization. Using this API, you can programmatically interact with Guru's knowledge base, including retrieving card details, creating new cards, and updating existing content. By leveraging Pipedream's serverless platform, you can craft workflows that trigger based on events from other services, process the data, and perform actions in Guru to keep your team's knowledge up to date and accessible.
Connect Guru#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
guru: {
type: "app",
app: "guru",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.getguru.com/api/v1/teams`,
headers: {
"Accept": `application/json`,
},
auth: {
username: `${this.guru.$auth.username}`,
password: `${this.guru.$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#
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