Aroflo
Field Service Management Software
Integrate the Aroflo API with the Python API
Setup the Aroflo API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Aroflo and Python remarkably fast. Free for developers.
Popular Aroflo 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 Aroflo#
Aroflo's API offers the power to streamline operations by automating tasks and integrating with a wide variety of systems. Through Pipedream, you can leverage this to synchronize data across platforms, trigger workflows based on specific events, and manipulate Aroflo data in real-time. Whether updating project statuses, managing assets, or automating invoicing and reporting, Pipedream's serverless platform can facilitate a seamless link between Aroflo and other services.
Connect Aroflo#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
aroflo: {
type: "app",
app: "aroflo",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.aroflo.com/`,
headers: {
"Accept": `text/json`,
"Authentication": `HMAC ${this.aroflo.$auth.hmac_key}`,
},
params: {
where: `and|archived|=|false`,
zone: `users`,
page: `1`,
},
})
},
})
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}}