Namely
Namely is the only HR, payroll, benefits, and talent management platform your employees will love.
Integrate the Namely API with the Python API
Setup the Namely API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Namely and Python remarkably fast. Free for developers.
Popular Namely and Python Actions#
Run Python Code with the Python API
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Namely#
The Namely API provides a set of tools that you can use to build applications
that interact with Namely data. With the Namely API, you can:
- Retrieve information about Namely accounts, users, and jobs
- Create and update Namely data
- Search for Namely data
- Authenticate Namely users
Here are some examples of what you can build with the Namely API:
- A web application that allows Namely users to view and update their account
information - A mobile application that allows Namely users to search for jobs and view job
descriptions - An application that allows Namely administrators to manage account data and
user permissions
Connect Namely#
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import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
namely: {
type: "app",
app: "namely",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.namely.$auth.subdomain}.namely.com/api/v1/profiles/me`,
headers: {
Authorization: `Bearer ${this.namely.$auth.oauth_access_token}`,
},
})
},
})
Overview of Python#
Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.
By using Pipedream, you can easily:
- Create automated workflows that run on a specific schedule
- Compose workflows across various apps and services
- React to events in cloud services or form data
- Automatically create content and notifications
- Construct classifications and predictions
- Analyze and react to sentiment, sentiment analysis and sentiment score
- Connect backends to the frontend with serverless functions
- Work with files and databases
- Perform web requests and fetch data
- Integrate third-party APIs into your apps
- Orchestrate data processing tasks and pipelines
- Create powerful application APIs with authentication and authorization
- Design CI/CD pipelines and Continuous Delivery services
- Connect databases like MongoDB and MySQL
- Monitor connections and events
- Generate alerts and notifications for corresponding events
Connect Python#
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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}}