SuiteDash
Manage your business like a PRO with SuiteDash, the All-in-One Business Software that empowers collaboration with your Team and your Clients
Integrate the SuiteDash API with the Python API
Setup the SuiteDash API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate SuiteDash and Python remarkably fast. Free for developers.
Popular SuiteDash and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of SuiteDash#
The SuiteDash API lets you streamline business operations by automating tasks within SuiteDash, a platform designed for client management, project management, invoicing, and more. Leveraging this API in Pipedream, you can develop custom, serverless workflows. These can include syncing client data across platforms, automating project updates, or triggering event-based invoicing. The key here is to harness the data and actions available through the API to enhance efficiency and reduce manual workload.
Connect SuiteDash#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
suitedash: {
type: "app",
app: "suitedash",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.suitedash.com/secure-api/contacts`,
headers: {
"Accept": `application/json`,
"X-Public-ID": `${this.suitedash.$auth.public_id}`,
"X-Secret-Key": `${this.suitedash.$auth.secret_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}}