Automated Invoice Data Extraction with LlamaParse, Gemini 2.5 & Google Sheets — n8n 工作流

复杂度 触发器17 个节点🏷️ Invoice Processing作者:Agentick AI

概览

This n8n template demonstrates how to automate invoice data extraction from PDF attachments received via Gmail. Using LlamaParse and Gemini LLM, this workflow parses structured fields like PO numbers, line items, tax amounts, and totals — and stores them neatly into a Google Sheet.

Perfect for use cases such as: 💼 Finance teams managing vendor invoices 📊 Bookkeeping workflows 🔄 Automating monthly reconciliation

Good to Know At the time of writing, LlamaParse and Gemini may involve API usage co

使用的节点

Google SheetsHTTP RequestGmailBasic LLM ChainStructured Output ParserGoogle Gemini Chat Model

工作流预览

2. Advanced PDF Processing with LlamaParse
Read more about using HTTP Requests
LlamaIndex's LlamaCloud is a cloud
1. Watch for Invoice Emails
Read more about Gmail Triggers
The Gmail node can watch for all incoming messages
3. Use LLMs to Extract Values from Data
Read more about Basic LLM Chain
Large language models are
4. Add Label to Avoid Duplication
Read more about working with Gmail
To finish off the workflow, we'll add the "invoice
Try Me Out!
This workflow does the following:
* Waits for email invoices with PDF attachments.
* Uses the LlamaParse service to convert the invoice PD
* Uses a LLM to ex
Need more attributes?
Change it here!
🚨Required
* Set Your Google Sheet URL here
* Set the Name of your Sheet
Don't use GSheets?
Swap this for Excel, Airtable or a Database!
🚨Required
* Change the email filters here!
modelparser
Structured Output Parser
Upload to LlamaParse
R
Receiving Invoices
Append to Reconciliation…
Get Processing Status
W
Wait to stay within serv…
I
Is Job Ready?
Add "invoice synced" Label
Get Parsed Invoice Data
M
Map Output
Apply Data Extraction Ru…
S
Should Process Email?
S
Split Out Labels
Get Labels Names
C
Combine Label Names
E
Email with Label Names
Google Gemini Chat Model
17 nodes18 edges

工作原理

  1. 1

    触发器

    工作流由 触发器 触发器启动。

  2. 2

    处理

    数据流经 17 个节点, connecting aggregate, chainllm, gmail。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (17)

GO

Google Sheets

googleSheets

#1
HT

HTTP Request

httpRequest

#2
GM

Gmail

gmail

#3
BA

Basic LLM Chain

n8n-nodes-langchain.chainLlm

#4
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#5
GO

Google Gemini Chat Model

n8n-nodes-langchain.lmChatGoogleGemini

#6

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例,依次点击 工作流 → 新建 → 从文件导入
  3. 3选择下载的 automated-invoice-data-extraction-with-llamaparse-gemini-25-google-sheets 文件并点击导入。
  4. 4为每个服务节点配置 凭证(API 密钥、OAuth 等)。
  5. 5点击 测试工作流 验证一切正常,然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴:

{ "name": "Automated Invoice Data Extraction with LlamaParse, Gemini 2.5 & Google Sheets", "nodes": [...], ...}

集成

aggregatechainllmgmailgmailtriggergooglesheetshttprequestiflmchatgooglegeminimergeoutputparserstructuredsetsplitoutswitchwait

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点17
复杂度high
触发器trigger

创建者

Agentick AI

Agentick AI

@arpanjain29

标签

aggregatechainllmgmailgmailtriggergooglesheetshttprequestiflmchatgooglegeminimergeoutputparserstructured

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🔗 Webhook·12 nodes