Streamline your business from end to end with ConnectWise PSA.
Emit new event when a new contact is created in Connectwise.
Emit new event when a new project is created in Connectwise.
Emit new event when a new ticket is created in Connectwise.
Creates a new company in Connectwise. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates a new contact in Connectwise. See the documentation
Creates a new ticket in Connectwise. See the documentation
ConnectWise PSA (Professional Services Automation) API offers a powerful avenue for managing business processes related to technology services. By integrating with ConnectWise PSA via Pipedream, developers can automate complex workflows, synchronize data across various platforms, and enhance operational efficiencies. This API allows for control over modules like service tickets, project management, and account management, essentially streamlining operations and making data management more effective.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
connectwise_psa: {
type: "app",
app: "connectwise_psa",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.connectwise_psa.$auth.environment}/v4_6_release/apis/3.0/service/boards`,
headers: {
"clientId": `${this.connectwise_psa.$auth.client_id}`,
},
auth: {
username: `${this.connectwise_psa.$auth.company_id}+${this.connectwise_psa.$auth.public_key}`,
password: `${this.connectwise_psa.$auth.private_key}`,
},
})
},
})
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:
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}}