Operations management software for home service businesses
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Generates a new quote for the client's first property in Jobber. See the documentation
Creates a new service request for a client's first property within Jobber. See the documentation
The Jobber API allows for the automation of service business operations, such as scheduling jobs, managing clients, and invoicing. By pairing it with Pipedream, you can craft powerful serverless workflows that react to events in Jobber or integrate with other services to streamline your business processes. With Pipedream’s ability to connect to hundreds of apps, you can create custom automations without writing a lot of code, handling everything from data transformations to complex logic.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
jobber: {
type: "app",
app: "jobber",
}
},
async run({steps, $}) {
const data = {
"query": `query SampleQuery {
user(id: null){
id
email {
raw
}
}
}`,
}
return await axios($, {
method: "POST",
url: `https://api.getjobber.com/api/graphql`,
headers: {
Authorization: `Bearer ${this.jobber.$auth.oauth_access_token}`,
"X-JOBBER-GRAPHQL-VERSION": `2023-03-29`,
},
data,
})
},
})
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}}