Webhook Code Automate Webhook – Business Process Automation | Complete n8n Webhook Guide (Intermediate)
This article provides a complete, practical walkthrough of the Webhook Code Automate Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.
What This Agent Does
This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.
It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.
Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.
How It Works
The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.
Third‑Party Integrations
- HTTP Request
- Webhook
Import and Use in n8n
- Open n8n and create a new workflow or collection.
- Choose Import from File or Paste JSON.
- Paste the JSON below, then click Import.
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Show n8n JSON
Title: Automating Receipt Analysis with n8n: From LINE Image to Google Sheets in Seconds Meta Description: Discover how to automate the process of extracting transaction data from LINE messages, uploading receipt images to Google Drive, using OCR to parse text, and logging insights in Google Sheets—all using a powerful n8n workflow. Keywords: n8n automation, LINE bot integration, Google Sheets API, OCR automation, SpaceOCR, Google Drive API, invoice processing, no-code automation, receipt text extraction, Thai receipts OCR, automating financial records, AI data extraction Third-Party APIs Used: 1. LINE Messaging API: For receiving image-based receipts through a chatbot. 2. Google Drive API: For uploading and storing the receipt image retrieved from LINE. 3. OCR.Space API: For extracting Thai-language text from uploaded receipt images. 4. Google Sheets API: For recording the parsed transaction details into a structured spreadsheet. Article: Automating Financial Record-Keeping: A No-Code Workflow Using LINE, Google Drive, OCR, and Google Sheets Keeping track of financial transactions through manual receipt entry can be tedious, error-prone, and time-consuming—especially when dealing with images sent from chat applications like LINE. But what if you could automate this entire process, with artificial intelligence extracting the data, storing the image, and updating your records in real time? Using n8n—an open-source, node-based workflow automation tool—this article explains how to build an elegant system that receives an image via LINE, uploads it to Google Drive, performs OCR (Optical Character Recognition) using SpaceOCR, and finally logs the parsed transaction into Google Sheets. Let’s walk through how this workflow works, step by step. Step 1: Trigger the Workflow via LINE Chat Bot The automation starts when a user sends an image of a transaction slip via LINE Messenger. A webhook node in n8n listens for new message events using the LINE Messaging API. Specifically, it captures the image stream and extracts the unique message ID to locate the receipt. Step 2: Fetch Image from LINE API Once the receipt message ID is captured, n8n constructs a dynamic URL that fetches the image binary from LINE’s API endpoint: https://api-data.line.me/v2/bot/message/{messageId}/content An HTTP Request node uses this link, along with the appropriate authorization headers, to obtain the receipt image in binary format. Step 3: Upload Image to Google Drive With the image successfully downloaded, the next step is permanency and accessibility. The workflow uploads this image to a predetermined folder in Google Drive using the Google Drive API. This ensures secure storage and allows generating a viewable link later for OCR and auditing purposes. The file is saved with the LINE message ID as its name, e.g., 1234567890.jpg, making it easy to trace back related communication. Step 4: OCR Scanning with SpaceOCR Now that the image is accessible online, the real magic begins. The receipt image is sent to the OCR.Space API, configured to support Thai language recognition (language=tha) and optimized for document accuracy with Engine 2. The API reads the image text, returning a block of plaintext. This is ideal for transaction receipts where key details are printed clearly but vary in layout between banks or payment methods. Step 5: Extract Structured Transaction Details with JavaScript This returned raw text is then parsed using a powerful Code node written in JavaScript. The code accounts for: - Variable line positions and OCR inconsistencies (e.g., spacing, punctuation) - Thai keywords such as “นาย” (Mr.) or “รหัสพร้อมเพย์” (PromptPay ID) - Differentiating between standard transfers and PromptPay transactions - Extracting essential details like: - Transaction Type - Date & Time - Sender & Receiver Names - Bank Names - Account Numbers - Transaction ID - Amount Transferred - Fee Charged It uses smart line parsing and fallback logic to ensure that even if OCR isn't perfect, critical values are still extracted correctly. Step 6: Store Transaction in Google Sheets With clean, structured data output from the JS node, the final step is to log this into a Google Sheet for record-keeping. The columns include: - Transaction Type - Date & Time - Sender Name - Sender Account - Receiver Name - Receiver Account - Receiver Bank - Transaction ID - Amount - Fee Utilizing Google Sheets’ API, this workflow appends the new row instantly with a single operation. This Google Sheet then becomes your live transaction ledger, automatically updated without human input. Benefits of This Workflow 1. Fully Automated: From receipt image input to data storage—everything happens behind the scenes within seconds. 2. Highly Accurate: With OCR optimization and keyword-based parsing, even lightly corrupted images yield usable data. 3. Scalable: Works with thousands of receipts per day across multiple users. 4. Language Support: Includes Thai-language OCR, critical for Southeast Asia-focused businesses. 5. No-Code Friendly: n8n offers an intuitive visual builder, so you don’t need to be a developer to tune or extend your workflow. Conclusion This n8n-powered automation is a powerful demonstration of how modern tools can converge to bring immense productivity to finance, business operations, and data entry tasks. By combining a LINE messaging bot, cloud storage with Google Drive, text recognition with SpaceOCR, and structured logging in Google Sheets, this solution transforms how receipts are handled—from snapshots in a chat app to neatly organized spreadsheets ready for review. Whether you're building this for personal expense tracking, small business accounting, or enterprise-level data gathering, this automation provides a rock-solid foundation to eliminate repetitive tasks and focus on what matters: making decisions from your data.
- Set credentials for each API node (keys, OAuth) in Credentials.
- Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
- Enable the workflow to run on schedule, webhook, or triggers as configured.
Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.
Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.
Why Automate This with AI Agents
AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.
n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.
Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.
Best Practices
- Credentials: restrict scopes and rotate tokens regularly.
- Resilience: configure retries, timeouts, and backoff for API nodes.
- Data Quality: validate inputs; normalize fields early to reduce downstream branching.
- Performance: batch records and paginate for large datasets.
- Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
- Security: avoid sensitive data in logs; use environment variables and n8n credentials.
FAQs
Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.
How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.
Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.
Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.