Extract Product Prices from E-commerce Sites

Extract Product Prices from E-commerce Sites

What You’ll Build

In 5 minutes, you’ll create a workflow that automatically extracts product prices from any e-commerce website. Perfect for price monitoring, comparison shopping, or market research.

⏱️ Time: 5 minutes 🎯 Difficulty: Beginner ✅ Result: Working price extraction workflow

Why This Matters

• Save Time: No more manual price checking across multiple sites
• Stay Competitive: Monitor competitor pricing automatically
• Make Better Decisions: Track price trends to find the best deals
• Scale Your Research: Extract prices from hundreds of products quickly

What Goes In, What Comes Out

Input	Output
Product page URL	Clean price data with currency
Website to monitor	Structured price information

Example: https://shop.example.com/laptop → $1,299.99 USD

Step-by-Step Guide

Step 1: Set Up Your Workflow

1. Open Agentic WorkFlow in your browser
2. Create a new workflow and name it “Price Extractor”
3. Add these nodes to your canvas:
   • Get All Text From Link (for extracting page content)
   • Edit Fields (for cleaning price data)
   • Download as File (for saving results)

flowchart LR
    A[🌐 Product URL] --> B[📝 Get All Text]
    B --> C[✂️ Edit Fields]
    C --> D[💾 Save Results]

    style A fill:#e3f2fd
    style B fill:#e8f5e8
    style C fill:#fff3e0
    style D fill:#f3e5f5

Step 2: Configure Text Extraction

Get All Text From Link Node Settings:

• URL: Enter your target product page
• Text Filters: Add .navigation, .footer, .reviews to focus on product info
• Wait for Load: Enable to catch dynamic pricing

✅ You should see: Raw text content from the product page

Step 3: Extract and Clean Price Data

Edit Fields Node Configuration:

{
  "operations": [
    {
      "field": "text",
      "operation": "extract_regex",
      "pattern": "\\$[0-9,]+\\.?[0-9]*",
      "output_field": "price"
    }
  ]
}

✅ You should see: Clean price like $1,299.99

Step 4: Save Your Results

Download as File Node:

• Format: CSV or JSON
• Filename: prices_{{date}}.csv
• Include timestamp: Yes

Real-World Example

Target: Amazon laptop listing Input URL: https://amazon.com/laptop-example Extracted Price: $1,299.99 Processing Time: 3 seconds

Troubleshooting

Problem	Solution
No price found	Check if site uses dynamic loading - increase timeout
Wrong price extracted	Adjust regex pattern for site’s price format
Access blocked	Some sites block automation - try different approach

What’s Next?

Ready to level up your price monitoring? Try these tutorials:

• Monitor Competitor Prices - Set up automated price tracking
• Automate Form Filling - Speed up repetitive data entry
• Build a Price Monitoring System - Complete project guide

Copy-Paste Ready Workflow

{
  "workflow": {
    "name": "Price Extractor",
    "nodes": [
      {
        "type": "GetAllTextFromLink",
        "config": {
          "textFilters": [".navigation", ".footer", ".reviews"],
          "waitForLoad": true,
          "timeout": 15000
        }
      },
      {
        "type": "EditFields",
        "config": {
          "operations": [{
            "field": "text",
            "operation": "extract_regex",
            "pattern": "\\$[0-9,]+\\.?[0-9]*",
            "output_field": "price"
          }]
        }
      },
      {
        "type": "DownloadAsFile",
        "config": {
          "format": "csv",
          "filename": "prices_{{date}}.csv"
        }
      }
    ]
  }
}

---

💡 Pro Tip: Start with one product page to test your workflow, then scale to multiple URLs using a URL list input.