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// Case Studies · Real Numbers · Real Brands

Food Data Scraping — Real Outcomes, Real Numbers

Real client outcomes with real numbers — UAE QSR chain +18% margin, US grocery -60% stock-outs, UK delivery 6hr→90s reaction, India CPG 18K+ pin codes covered, Gulf Halal 100% compliance, PE diligence saving $60M valuation. All anonymized but unmodified.

// 6 Real Outcomes

Real numbers from real food brands.

Every case study below uses real client metrics. Names anonymized for confidentiality. ROI, scale and timeline shown exactly as delivered.

Halal Restaurant Data Scraping Case Study — JAKIM vs MUI vs ESMA Cross-Country Price Comparison

Client: The client is a halal-focused QSR brand
Challenge: Three certifications, three markets, no comparable data
Solution: A cross-market halal premium tracker
3
Markets
9,800
Halal restaurants tracked
18mo
Time-series depth
11-14%
Certification premium range

Franchise Portfolio Data Scraping Case Study — Portfolio Sequencing Across 50 Filipino Outlets

Client: The client is a Philippines multi-brand franchise group
Challenge: Five brands, 17 cities, 50 outlets — and a 12-month launch deadline
Solution: A 5-brand 17-city portfolio sequencer
50
Outlets sequenced
5
Portfolio coverage
89%
Break-even rate
17
PH cities covered

Franchise Restaurant Data Scraping Case Study — Why 1 in 4 New US Restaurant Franchises Close Within 18 Months

Client: The client is a US franchise development firm
Challenge: Franchise failures are studied post-mortem, not predicted
Solution: An 18-month US franchise survival tracker
2800
Franchises tracked
18m
Time-to-close window
6
Failure patterns identified
+38%
Survival lift

Singapore Restaurant Data Scraping Case Study — Restaurant Re-Allocation Across Singapore After Platform Exit

Client: The client is a SEA food delivery platform
Challenge: A 90-day window to capture share — and no targeting data
Solution: A real-time platform-shift migration tracker
8400
Restaurants re-allocated
90 days
Migration window
3
Platforms covered
+18%
Share captured

Real-Time Pricing Data Scraping Case Study — How Restaurant Brands Use Dynamic Pricing on Food Delivery Apps

Client: The client is a global QSR chain operator
Challenge: Static pricing in a dynamic-pricing market
Solution: A 90-second real-time pricing tracker
+14%
Gross margin lift
90s
Price refresh
12
Pricing patterns decoded
3
Platforms covered

Cross-Platform Pricing Data Scraping Case Study — Same Dish, Different Platform, 12% Different Price

Client: The client is a national US pizza chain operating on UberEats, DoorDash
Challenge: Same dish, three prices, no strategy
Solution: A cross-platform same-dish price tracker
12
Avg same-dish gap
3
Platforms covered
+9%
Margin lift
48
US markets
// Could Be Your Outcome Next

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Case Study - Transforming the Industry with Gopuff Alcohol & Grocery Delivery Data Scraping

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Aug 11th, 2023
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Case Study - Scrape Getir Grocery Data To Collect Product Details

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Aug 09th, 2023
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Case Study - Utilizing Talabat Food Delivery Data Scraping for Enhanced Market Insights

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Aug 07th, 2023
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Case Study - Scrape Zomato Restaurant Menu Data for Market Analysis

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Aug 03th, 2023
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Case Study - Scrape Food Delivery App Data Using API

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July 28th, 2023
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Case Study - Boost Restaurant Recommendations Using Yelp Data Scraping

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July 25th, 2023
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