Teamioo
Intuitive Teamwork. Connect the right people and empower your team and projects with productive superpowers.
Integrate the Teamioo API with the Python API
Setup the Teamioo API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Teamioo and Python remarkably fast. Free for developers.
Popular Teamioo and Python Actions#
Saves a website URL to the bookmarks. The 'url' and 'bookmark_type' are required. 'bookmark_type' can either be 'personal' or 'group'. An optional prop 'title' can be included to give the bookmark a custom name. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Teamioo#
The Teamioo API provides a suite of tools to manage teamwork and project progression. With this API, you can automate your workflow, synchronize data across various platforms, and streamline project management tasks. On Pipedream, you can integrate Teamioo with other apps to create multi-step workflows, perform operations based on triggers, and manipulate data to fit your project management needs.
Connect Teamioo#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
teamioo: {
type: "app",
app: "teamioo",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.teamioo.$auth.environment}.teamioo.com/_api/groups`,
params: {
teamiooAPIKey: `${this.teamioo.$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}}