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with Python and ADP?
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Popular Python and ADP Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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}}Overview of ADP#
The ADP API provides access to a breadth of payroll and human capital management services. With Pipedream, you can automate workflows that bridge the gap between ADP and other apps, streamlining your HR processes. By leveraging Pipedream's serverless platform, you can orchestrate data flows, synchronize employee information, manage payroll events, and react to changes in ADP data in real-time without writing extensive code.
Connect ADP#
import { axios } from "@pipedream/platform"
import https from "https"
export default defineComponent({
props: {
adp: {
type: "app",
app: "adp",
}
},
async run({steps, $}) {
const httpsAgent = new https.Agent({
cert: this.adp.$auth.crt_file,
key: this.adp.$auth.key_file,
})
return await axios($, {
url: `${this.adp.$auth.environment}api.adp.com/hr/v2/workers`,
headers: {
Authorization: `Bearer ${this.adp.$auth.oauth_access_token}`,
},
httpsAgent: httpsAgent
})
},
})
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