Invoice Data Extraction, Reconciliation, and Verification
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Itemize API enables automated processing and organization of receipts, invoices, and other financial documents. By harnessing machine learning, it extracts pertinent data such as dates, amounts, taxes, and vendor information, converting cluttered paperwork into structured data. This can be a boon for accounting, expense tracking, and financial auditing workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
itemize: {
type: "app",
app: "itemize",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://sandbox.proapi.itemize.com/api/enterprise/v1/accounts/[ACCOUNT-ID]`,
auth: {
username: `${this.itemize.$auth.api_token}`,
password: ``,
},
})
},
})
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}}