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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.

Food Delivery Data Scraping Case Study — Plant-Based Menu Growth Across 10 US Metros

Client: The client is a plant-based ingredient supplier
Challenge: Sales decisions based on assumption, not adoption data
Solution: A 10-metro vegan menu adoption tracker
+143%
Vegan menu growth (36mo)
10
US metros tracked
$4.8M
Sales reallocation
36mo
Time-series depth

UberEats Data Scraping Case Study — Korean Restaurant Growth 3x Across 25 US Metros

Client: The client is a private-equity firm evaluating a Korean QSR
Challenge: An investment thesis without time-series evidence
Solution: A 25-metro Korean restaurant growth tracker
3.1x
Korean merchant growth (36mo)
25
US metros tracked
$42M
Investment underwritten
36mo
Time-series depth

SEA Food Delivery Data Scraping Case Study — Sizing the $1.8B Healthy Bowl Market Across 6 Countries

Client: The client is a Southeast Asian QSR chain
Challenge: Six markets, no comparable category data
Solution: A multi-platform, multi-country healthy bowl tracker
$1.8B
Bowl category sized
6
SEA countries covered
48,600
Bowl SKUs captured
3
Launch markets prioritized

Zomato Swiggy Data Scraping Case Study — Specialty Coffee Tier-2 India Expansion

Client: The client is a specialty coffee chain
Challenge: Tier-2 India: visible demand, invisible supply data
Solution: A 47-city tier-2 café expansion tracker
47
Tier-2 cities mapped
3,200+
Cafés indexed
8
Launch cities prioritized
36mo
Growth history captured

foodpanda Data Scraping Case Study — Bubble Tea Saturation Across Metro Manila

Client: The client is a regional Asian bubble tea brand
Challenge: Manila bubble tea: visible everywhere, but is it actually saturated?
Solution: A district-level Manila milk tea saturation tracker
612
Milk-tea outlets mapped
17
Manila districts analyzed
6
Saturated zones flagged
4
Whitespace launch zones

Talabat Careem Data Scraping Case Study — UAE Restaurant Operator Loyalty Patterns

Client: The client is a UAE food delivery platform growth team
Challenge: Operator loyalty is invisible from a single-platform view
Solution: A 14,800-operator UAE loyalty decoder
14,800
Dubai operators analyzed
4
Loyalty archetypes
2
Platforms covered
36mo
History tracked
// 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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