Post bank statement transactions to QuickBooks Online using OpenRouter AI — n8n 워크플로

높음 복잡도⚡ 트리거24개의 노드🏷️ Invoice Processing작성자: InfyOm Technologies

개요

✅ What problem does this workflow solve?

Manually entering bank statements into QuickBooks is one of the most time-consuming and error-prone accounting tasks. Accountants often spend hours converting PDF bank statements into individual income and expense entries—risking missed transactions, incorrect categorization, and inconsistencies.

This workflow fully automates the end-to-end process: from uploading a (even password-protected) bank statement PDF to creating accurate Sales Receipts and Exp

사용된 노드

HTTP RequestQuickBooks OnlineCodeAI AgentStructured Output ParserOpenRouter Chat Model

워크플로 미리보기

How it works
Upload a password-protected or normal bank statement PD
PDF Extraction
Form trigger receives bank statement PDF. Text is extra
Transaction Processing
Split extracted transactions into individual items. Loo
Credit Path (Income)
Fetches existing QuickBooks items or creates new servic
Debit Path (Expenses)
Loads expense categories from Chart of Accounts. Search
parsermodel
E
Extract PDF Text
Transaction Extractor AI
JSON Output Parser
Create QuickBooks SalesR…
⚡
B
Bank Statement Form
OpenRouter Chat Model
S
Split Transactions
L
Loop Over Items
Build Salesreceipt Payload
Get many customers
Create Vendor
V
Vendor Exists?
Find Vendor
Search Categories
Create Items
Collect All Item Mappings
N
Need to Create Items?
Get All QB Items
Check Which Items to Cre…
C
Credit or Debit?
C
Customers Exists?1
Create a Customer
Create QuickBooks Expense
Build Expense Payload
24 nodes28 edges

작동 원리

  1. 1

    트리거

    워크플로는 트리거 트리거로 시작합니다.

  2. 2

    처리

    데이터가 24개의 노드를 통해 흐릅니다, connecting agent, code, extractfromfile.

  3. 3

    출력

    워크플로가 자동화를 완료하고 구성된 대상에 결과를 전달합니다.

노드 세부 정보 (24)

HT

HTTP Request

httpRequest

#1
QU

QuickBooks Online

quickbooks

#2
CO

Code

code

#3
AI

AI Agent

n8n-nodes-langchain.agent

#4
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#5
OP

OpenRouter Chat Model

n8n-nodes-langchain.lmChatOpenRouter

#6

이 워크플로 가져오는 방법

  1. 1오른쪽의 JSON 다운로드 버튼을 클릭하여 워크플로 파일을 저장합니다.
  2. 2n8n 인스턴스를 열고 워크플로 → 새로 만들기 → 파일에서 가져오기로 이동합니다.
  3. 3다운로드된 post-bank-statement-transactions-to-quickbooks-online-using-openrouter-ai 파일을 선택하고 가져오기를 클릭합니다.
  4. 4각 서비스 노드에 대한 자격 증명（API 키, OAuth 등）을 설정합니다.
  5. 5워크플로 테스트를 클릭하여 모든 것이 작동하는지 확인한 후 활성화합니다.

또는 n8n → JSON에서 가져오기에 직접 붙여넣기:

{ "name": "Post bank statement transactions to QuickBooks Online using OpenRouter AI", "nodes": [...], ...}

통합

agentcodeextractfromfileformtriggerhttprequestiflmchatopenrouteroutputparserstructuredquickbookssplitinbatchessplitoutswitch

이 워크플로 가져오기

한 번의 클릭으로 다운로드 및 가져오기

JSON 다운로드n8n.io에서 보기
노드24
복잡도high
트리거trigger
카테고리Invoice Processing

제작자

InfyOm Technologies

InfyOm Technologies

@infyom

태그

agentcodeextractfromfileformtriggerhttprequestiflmchatopenrouteroutputparserstructuredquickbookssplitinbatches
⚡

n8n을 처음 사용하시나요?

n8n은 무료 오픈소스 워크플로 자동화 도구입니다. 자체 호스팅하거나 클라우드 버전을 사용하세요.

n8n 무료로 시작하기 →

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