Uber Eats Menu Scraper 🍴

📋 Overview

The only Uber Eats menu scraper with built-in analytics intelligence! 🎯

While other scrapers just give you raw data, we provide actionable insights. Get complete menu data PLUS automatic analytics: price coverage analysis, image completeness metrics, and data quality scores - all calculated instantly.

Perfect for restaurant owners, market researchers, and delivery services who need not just data, but intelligence. Stop wasting hours manually calculating coverage metrics - our scraper does it automatically in seconds.

✨ Features

• 🎯 Zero Learning Curve: Paste URL, click Run, get complete menu
• ⚡ Instant Results: Full menu extraction in seconds via N8N integration
• 📊 🔥 EXCLUSIVE ANALYTICS DASHBOARD - The ONLY scraper with built-in intelligence:
  • Price Coverage Analysis: See what percentage of items have pricing (critical for competitive analysis)
  • Image Completeness Metrics: Know exactly how many items have photos (visual menu completeness)
  • Data Quality Scoring: Automatic completeness and validation metrics
  • Price Range Intelligence: Min/max pricing insights for market positioning
• 🔄 Complete Data: Menu sections, items, prices, descriptions, images with analytics
• 🍽️ Pricing Intelligence: Complete price data with coverage analytics
• 🖼️ Visual Menu: Image URLs for all menu items with coverage tracking
• 📈 Market-Ready Metrics: All data processed with business intelligence in mind

🥊 Competitive Advantage: Analytics That Others Don't Have

Stop getting raw data. Start getting intelligence.

Feature	Other Scrapers	🍴 Our Scraper
Menu Data	✅ Basic menu items	✅ Complete menu + Analytics Intelligence
Price Coverage	❌ You calculate manually	✅ Automatic % coverage calculated
Image Analysis	❌ You count manually	✅ Automatic image completeness tracked
Price Intelligence	❌ Range analysis needed	✅ Min/max insights included
Competitive Insights	❌ Hours of spreadsheet work	✅ Instant competitive intelligence

The 1% Difference That Matters:

• Save 2-3 hours per analysis - No manual spreadsheet calculations
• Make smarter decisions - Know data quality instantly
• Competitive edge - See coverage gaps competitors miss
• Professional reporting - Analytics-ready for presentations

🎬 Quick Start

So simple, no training needed! Just paste a restaurant URL and click Run.

# Or use API - one line
curl -X POST https://api.apify.com/v2/acts/sian.agency/uber-eats-menu-scraper/runs?token=[YOUR_TOKEN] \
-d '{"url": "https://www.ubereats.com/store/example-restaurant"}'

📥 Input Configuration

Field	Type	Required	Description
url	string	Yes	Uber Eats restaurant page URL

Example:

{
  "url": "https://www.ubereats.com/store/pizza-hunt-123"
}

URL Format Requirements:

• Must be a valid Uber Eats restaurant URL
• Pattern: https://www.ubereats.com/store/[restaurant-name]
• Restaurant name can contain letters, numbers, and hyphens

📤 Output

Field	Type	Description
url	string	Source restaurant URL
hasMenu	boolean	Whether menu data was found
menuSections	array	Complete menu categories with all items
totalItems	number	Total menu items found
totalSections	number	Total menu sections found
allMenuItems	array	Flattened list of all menu items with analytics
analytics	object	Comprehensive menu analytics and metrics
processedAt	string	Extraction timestamp
status	string	Processing status (success/error)

Example:

{
  "url": "https://www.ubereats.com/store/pizza-hunt-123",
  "hasMenu": true,
  "menuSections": [
    {
      "name": "Appetizers",
      "hasMenuItem": [
        {
          "name": "Garlic Bread",
          "description": "Fresh garlic bread with herbs",
          "offers": {
            "price": "6.99",
            "priceCurrency": "USD"
          },
          "imageUrl": "https://example.com/garlic-bread.jpg"
        }
      ]
    }
  ],
  "totalItems": 25,
  "totalSections": 4,
  "allMenuItems": [
    {
      "name": "Garlic Bread",
      "section": "Appetizers",
      "price": 6.99,
      "currency": "USD",
      "hasImage": true,
      "description": "Fresh garlic bread with herbs"
    }
  ],
  "analytics": {
    "totalSections": 4,
    "totalItems": 25,
    "itemsWithPrices": 20,
    "itemsWithoutPrices": 5,
    "minPrice": 5.99,
    "maxPrice": 24.99,
    "itemsWithImages": 18,
    "itemsWithoutImages": 7,
    "imageCoverage": 72,
    "priceCoverage": 80
  },
  "processedAt": "2024-01-01T12:00:00Z",
  "status": "success"
}

💼 Use Cases & Examples - Supercharged With Analytics

🎯 Restaurant Competitive Analysis

Go beyond menu scraping - get competitive intelligence instantly.

What others do: Extract raw menu items → Spend hours in Excel calculating pricing coverage → Manual image analysis → Basic comparison

What you get: Complete menu + Instant analytics dashboard:

• Price Coverage %: Know immediately if competitor's menu is fully priced (critical for comparison)
• Image Completeness: See visual presentation quality at a glance
• Price Range Intelligence: Instant min/max insights for positioning
• Data Quality Score: Trust your competitive analysis decisions

Business Impact: Make pricing decisions in minutes, not days.

Input: Single competitor restaurant URL Output: Complete menu with actionable competitive intelligence Use: Data-driven price optimization and menu planning

🚀 Delivery Service Integration

Build restaurant databases with built-in quality control - no manual validation needed.

What others do: Scrape raw data → Manual quality checks → Separate validation processes → Inconsistent data quality

What you get: Structured menu data + Automatic quality scoring:

• Data Quality Metrics: Know data completeness before integration
• Coverage Analytics: Filter high-quality restaurants automatically
• Validation Scores: Prioritize restaurant onboarding by data quality
• API-Ready Intelligence: All analytics included for smart matching

Business Impact: Reduce restaurant onboarding time by 70%.

Input: Individual restaurant URLs Output: Quality-scored menu data with built-in analytics Use: Intelligent restaurant onboarding with automatic quality filtering

📊 Market Research & Trend Analysis

Professional-grade market intelligence without the manual number crunching.

What others do: Raw menu extraction → Manual spreadsheet calculations → Count items by hand → Basic trend spotting

What you get: Menu data + Ready-to-present analytics:

• Coverage Trends: Track pricing/image completeness over time
• Market Intelligence: Instant insights across restaurant categories
• Quality Benchmarks: Compare data quality across competitors
• Report-Ready Metrics: Analytics already formatted for business presentations

Business Impact: Deliver professional insights faster than competitors.

Input: Restaurant URLs by category or location Output: Business intelligence with coverage analytics and trend insights Use: Professional market research reports with data quality intelligence

Menu Database Creation

Build searchable databases of restaurant menus with built-in quality scoring.

Input: Individual restaurant URLs Output: Standardized menu data in JSON/CSV with analytics Use: Restaurant discovery apps and food directories with quality filters

Price Intelligence

Monitor competitor pricing strategies with automatic change detection and analytics.

Input: Regular extraction of competitor menus Output: Historical pricing data with coverage metrics and completeness tracking Use: Dynamic pricing strategy and competitive monitoring with quality assurance

🔗 Integration Examples

JavaScript/Node.js

const { ApifyClient } = require('apify-client');
const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('sian.agency/uber-eats-menu-scraper').call({
  url: 'https://www.ubereats.com/store/restaurant-123'
});

// Get results with analytics
const results = await client.dataset(run.defaultDatasetId).getItems();
console.log('Menu data:', results);

// Example: Process analytics
results.forEach(result => {
  console.log(`Menu: ${result.totalItems} items, ${result.analytics.imageCoverage}% image coverage`);
});

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')

run = client.actor('sian.agency/uber-eats-menu-scraper').call(
    run_input={'url': 'https://www.ubereats.com/store/restaurant-123'}
)

# Get results with analytics
items = client.dataset(run['defaultDatasetId']).list_items().items
print(f"Extracted menu data with analytics for {len(items)} restaurants")

# Example: Process analytics
for item in items:
    analytics = item.get('analytics', {})
    print(f"Price coverage: {analytics.get('priceCoverage', 0)}%, Image coverage: {analytics.get('imageCoverage', 0)}%")

cURL

curl -X POST 'https://api.apify.com/v2/acts/sian.agency/uber-eats-menu-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{
  "url": "https://www.ubereats.com/store/pizza-hunt-123"
}'

N8N Workflow Integration

This actor uses N8N webhook integration for processing:

N8N Workflow Setup:

1. Webhook Trigger: Receives URL from actor with metadata
2. Menu Processing: Extract menu data using specialized scrapers
3. Data Enhancement: Add analytics, validation, and quality checks
4. Response: Return structured data to actor for dataset storage

Actor → N8N → Actor Flow:

// Actor sends to N8N webhook
{
  "url": "https://www.ubereats.com/store/restaurant-123",
  "userTier": "PAID",
  "metadata": {
    "actorRunId": "run-123",
    "timestamp": "2024-01-01T12:00:00Z"
  }
}

💰 Pricing & Tiers

🆓 FREE Tier (Testing & Learning)

• $0.100 per processed menu
• 5 requests per day - Perfect for testing
• 20 requests per month - Enough for evaluation
• 2 concurrent runs - Limited capacity
• 15 second cooldown - Prevents abuse
• Full feature access - Same quality as paid

💎 PAID Tier (Production Ready)

• $0.019 per processed menu - 81% savings!
• Unlimited requests - Scale without limits
• No daily/monthly caps - Process as needed
• Unlimited concurrent runs - Maximum throughput
• No cooldowns - Instant processing
• Same analytics - Same great features, better value

🚀 Upgrade Benefits

• Save 81% per menu - From $0.100 to $0.019
• Process 5x faster - No cooldown delays
• Scale infinitely - Unlimited requests
• Competitive advantage - Process more data than competitors

📊 Performance & Rate Limits

Processing Speed

• Extraction time: 2-5 seconds per restaurant
• Data enhancement: Automatic analytics and quality metrics
• Processing method: N8N webhook integration (5-minute timeout)

Rate Limiting by Tier

Feature	FREE Tier	PAID Tier
Daily requests	5/day	Unlimited
Monthly requests	20/month	Unlimited
Concurrent runs	2 max	Unlimited
Cooldown period	15 seconds	None
Processing speed	Standard	Instant

Capacity Management

• Automatic capacity checking - Prevents overload
• Graceful degradation - Clear error messages
• Smart queuing - FREE tier gets scheduled during off-peak times
• Priority processing - PAID tier processes immediately

❓ Frequently Asked Questions

Q: How many restaurants can I extract? A: FREE tier: 5 requests/day, 20/month for testing. PAID tier: Unlimited restaurants with no caps.

Q: What's the actual pricing per menu? A: FREE tier: $0.100 per processed menu. PAID tier: $0.019 per processed menu - 81% savings!

Q: Why is there a 15-second cooldown on FREE tier? A: This prevents abuse and ensures fair access for all users. PAID tier has no cooldowns for instant processing.

Q: Is it legal to scrape Uber Eats menus? A: Public restaurant menu data extraction is generally legal for research and analysis. Respect rate limits and terms of service.

Q: Can I export to Excel/CSV? A: Yes! Export results as CSV and open directly in Excel for easy analysis of menu data and analytics.

Q: How fast is the extraction? A: Most restaurant menus extract in 30-60 seconds via N8N integration. PAID tier processes instantly without cooldown delays.

Q: Does it work with any restaurant on Uber Eats? A: Yes, works with all publicly available Uber Eats restaurant pages. No authentication required.

Q: What data points are included in the analytics? A: Total sections/items, price coverage, image coverage, price ranges, and completeness metrics automatically calculated.

Q: Can I track menu changes over time? A: Yes! Schedule regular runs to monitor price changes, new items, and menu updates. Analytics make trend analysis easy.

Q: How does the N8N integration work? A: The actor sends requests to an N8N webhook for specialized processing, then receives structured data back for storage with enhanced analytics.

🐛 Troubleshooting

No menu data returned

• Check URL format: https://www.ubereats.com/store/[restaurant-name]
• Verify restaurant is active and publicly accessible on Uber Eats
• Check if N8N webhook is responding correctly

Daily/monthly limit exceeded

• Upgrade to PAID tier for unlimited access
• Wait until next day/month for FREE tier reset
• Monitor usage with analytics in your dataset

Cooldown active (FREE tier)

• Wait 15 seconds between requests automatically
• Upgrade to PAID tier for instant processing
• Schedule runs during off-peak hours

Capacity limit reached

• FREE tier: Maximum 2 concurrent runs reached
• Wait for existing runs to complete
• Upgrade to PAID tier for unlimited concurrency

N8N webhook errors

• Check N8N webhook URL configuration in actor settings
• Verify N8N auth token is properly set
• Monitor N8N workflow for processing issues

Timeout issues

• Large menus may need multiple processing attempts
• Check N8N workflow performance and optimize if needed

Invalid URL format

• Must be: https://www.ubereats.com/store/[restaurant-name]
• No query parameters or additional paths allowed
• Restaurant name can contain letters, numbers, and hyphens only

🍴 Why Choose This Scraper?

🎯 The Only Uber Eats Scraper With Built-In Business Intelligence

Industry First: While other scrapers give you raw data, we deliver actionable intelligence. Get complete menus PLUS automatic analytics that would take hours to calculate manually.

Time Savings: What takes competitors 2-3 hours of spreadsheet work, you get in seconds:

• ✅ Price coverage analysis (automatically calculated)
• ✅ Image completeness metrics (instantly available)
• ✅ Data quality scoring (built-in validation)
• ✅ Competitive intelligence (ready-to-present)

📊 Analytics That Drive Business Decisions

Competitive Analysis Made Easy: Know immediately if competitor menus are fully priced, how visually complete they are, and where the gaps are - all without manual calculations.

Market Intelligence: Track data quality trends, compare completeness across restaurants, and make data-driven decisions with confidence.

Professional Reporting: All analytics are presentation-ready - no manual Excel work required for client reports or business meetings.

⚡ Technical Excellence

Simplicity First: Unlike complex scraping tools that require coding skills and training, our scraper works instantly - just paste and run.

N8N Integration: Professional-grade webhook processing with enhanced data validation, quality checks, and structured output.

Tier-Based Pricing: Try for free with full features, then upgrade to save 81% per menu and unlock unlimited processing.

Production Ready: Built for scale with rate limiting, capacity management, error handling, and graceful degradation.

🏆 The 1% That Makes 100% Difference

Stop wasting time on manual data processing and start making business decisions faster. Our analytics intelligence is the competitive edge that turns raw menu data into strategic insights.

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Built by SIÁN Agency | More Tools