ServiceM8
Field service software
Integrate the ServiceM8 API with the Python API
Setup the ServiceM8 API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate ServiceM8 and Python remarkably fast. Free for developers.
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Popular ServiceM8 and Python Triggers#
Emit new event when a new Form Response is created.
Emit new event when a new job is created. By creating this trigger, any other Job triggers will stop working as ServiceM8 will replace any previous ones.
Emit new event when a job completes. By creating this trigger, any other Job triggers will stop working as ServiceM8 will replace any previous ones.
Emit new event when a job is queued. By creating this trigger, any other Job triggers will stop working as ServiceM8 will replace any previous ones.
Popular ServiceM8 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 ServiceM8#
The ServiceM8 API allows businesses to streamline their field service management by automating tasks and integrating with other tools. Through Pipedream, you can harness this API to create custom workflows that trigger actions within ServiceM8 or sync data with other apps. Automate job scheduling, dispatching, invoicing, and more by reacting to events in real-time. Enhance productivity by connecting ServiceM8 to CRMs, accounting software, or custom databases, ensuring consistent and updated information across platforms.
Connect ServiceM8#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
servicem8: {
type: "app",
app: "servicem8",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.servicem8.com/api_1.0/staff.json`,
headers: {
Authorization: `Bearer ${this.servicem8.$auth.oauth_access_token}`,
},
})
},
})
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies