This article provides a complete, practical walkthrough of the Manual Http Automation 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

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Automating Receipt Data Extraction with n8n and Mindee API
   
   Meta Description:  
   Learn how to automate the process of extracting data from receipt images using n8n and the Mindee API. This workflow showcases a practical example of OCR-powered automation in a low-code environment.
   
   Keywords:  
   n8n, Mindee API, OCR automation, receipt extraction, data extraction, no-code tools, workflow automation, HTTP request, image processing, low-code automation
   
   Third-party APIs Used:
   
   - Mindee API: A specialized OCR and document-processing API used to extract structured data from receipts and other documents.
   
   Article:
   
   In an era where automation and digitization are reshaping how businesses operate, the ability to efficiently extract data from physical documents—like receipts—can provide a significant operational advantage. Leveraging modern low-code tools such as n8n, paired with AI-powered APIs like Mindee, makes it easy to automate this process with minimal technical overhead. In this article, we'll walk you through an n8n workflow designed to extract valuable information from a receipt image.
   
   Overview of the Workflow
   
   The n8n workflow includes three main nodes:
   
   - Manual Trigger
   - HTTP Request
   - Mindee API
   
   The workflow is triggered manually for demonstration purposes, but it can easily be adapted to watch a folder, scan email attachments, or listen for uploads via an HTTP endpoint. Once triggered, the workflow fetches an image of a receipt using an HTTP request, sends it to Mindee for processing, and receives structured data such as merchant name, transaction date, total amount, and more.
   
   Let’s dive deeper into each component of the workflow.
   
   Step 1: Manual Trigger Node
   
   The workflow starts with a manual trigger (“On clicking 'execute'”), allowing the user to initiate the process from within the n8n UI. This is useful for testing or running ad-hoc extractions while developing the workflow.
   
   This node can optionally be replaced with more dynamic triggers, such as:
   
   - A webhook trigger to accept incoming HTTP POSTs
   - A file trigger to watch for newly uploaded images in a cloud folder (Dropbox, Amazon S3, etc.)
   - An integration with an email service to scan attachments
   
   Step 2: HTTP Request Node
   
   The second node in the chain is an HTTP request configured to download a receipt image from a public URL—in this case, https://miro.medium.com/max/1400/0*1T9GkAb93w5NSMsf. The response format is set to “file,” which indicates that n8n should treat the response as a binary file.
   
   This mimics the typical receipt capture process where images are received from users or scanned into a system. Though the URL here is hard-coded for demonstration, it can easily be replaced by a dynamic field derived from another part of the workflow or external input.
   
   Step 3: Mindee Node
   
   Once the receipt image is downloaded, it’s passed to the Mindee node. Powered by advanced Optical Character Recognition (OCR) and document-understanding AI, Mindee’s Receipt API analyzes the image and extracts key information such as:
   
   - Merchant name
   - Purchase date
   - Total amount
   - Taxes
   - Category of items
   
   The Mindee node is configured using pre-stored credentials securely integrated into n8n. The output is a structured JSON object containing all extracted data, which can then be routed to CRMs, accounting software, or databases—completely eliminating manual data entry.
   
   Why Use Mindee?
   
   Mindee specializes in document processing for financial and administrative tasks. Their receipt OCR model is pre-trained to recognize common receipt formats and extract structured data quickly and reliably. Compared to generic OCR libraries, Mindee’s API offers:
   
   - Faster integration
   - Higher accuracy in domain-specific documents
   - Scalable API with clear documentation
   - Built-in parsing of common fields, reducing post-processing
   
   Putting it All Together
   
   This workflow is a perfect illustration of the potential of low-code platforms like n8n when combined with intelligent APIs. It minimizes the need for manual intervention in document workflows and can be enhanced further by adding:
   
   - A Notion or Google Sheets node to log receipt data
   - An email node to notify users upon completion
   - A conditional node to categorize expenses by amount, vendor, or department
   
   Final Thoughts
   
   Automation doesn't need to be complex to be powerful. This simple n8n workflow demonstrates the immense value of combining open-source automation tools with best-in-class APIs like Mindee. For businesses processing large volumes of receipts—from freelancers logging expenses to companies managing reimbursements—this solution provides a scalable, accurate, and cost-effective method to transform images into actionable data.
   
   Whether you're just starting your automation journey or looking to optimize document processing in your existing operations, try deploying this workflow—your team (and your accounting department) will thank you.
   
   Ready to try it yourself? Set up n8n, register for a free Mindee API key, and start building smarter workflows today.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. 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.