Productive is an end-to-end tool for agency management.
Emit new event when a new booking is created. See the documentation
Emit new event when a new deal is created. See the documentation
Emit new event when a new invoice is created. 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 entry in Productive.io. See the documentation
The Productive.io API enables you to automate and integrate your business operations managed within Productive.io. Whether it's syncing project data, managing resources, or tracking finances, the API allows you to streamline workflows by connecting with other services. On Pipedream, you can craft serverless workflows that react to events in Productive.io, or schedule tasks to manage your operations efficiently without leaving the platform.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
productive_io: {
type: "app",
app: "productive_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.productive.io/api/v2/people`,
headers: {
"X-Auth-Token": `${this.productive_io.$auth.auth_token}`,
"X-Organization-Id": `${this.productive_io.$auth.organization_id}`,
"Content-Type": `application/vnd.api+json`,
},
})
},
})
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}}