SoftLedger
The Real-time Cloud Accounting Software Platform. Meet SoftLedger - the cloud accounting software that empowers your growing company to operate more efficiently and make smarter decisions.
Integrate the SoftLedger API with the Python API
Setup the SoftLedger API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate SoftLedger and Python remarkably fast. Free for developers.
Popular SoftLedger 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 SoftLedger#
SoftLedger is a powerful API that enables you to automate accounting and financial tasks by integrating with your existing financial stack. By leveraging SoftLedger API on Pipedream, you can create custom workflows that streamline financial reporting, manage inventory, automate ledger entries, and sync financial data across applications. Pipedream's serverless platform allows you to connect the SoftLedger API with hundreds of other apps to trigger actions, process data, and automate repetitive tasks without writing complex code.
Connect SoftLedger#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
softledger: {
type: "app",
app: "softledger",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.softledger.com/api/locations/me`,
headers: {
Authorization: `Bearer ${this.softledger.$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}}