Lulu Hypermarket Dataset
Live and Historical Data Across One of the Gulf Region’s Largest Hypermarket Chains
Lulu Hypermarket occupies a category of its own in Gulf retail — stores large enough to carry a full weekly grocery shop, a home-goods aisle, an electronics section, and an apparel department all under one roof, spread across the UAE, Saudi Arabia, Oman, Qatar, Bahrain, Kuwait, and Egypt. That hypermarket format means a single Lulu store can carry a genuinely enormous SKU count compared to a standalone grocery chain, and weekly leaflet offers, click-and-collect pricing, and in-store-only promotions can all apply differently depending on category and country.
Tracking that properly means treating grocery and general-merchandise pricing as related but distinct problems, at a country level, without losing the connective thread across Lulu’s regional footprint. That’s exactly what our dedicated Lulu Hypermarket Data Scraping pipeline is built for — a Lulu Hypermarket Grocery Dataset that ties pricing, listings, inventory, and reviews together across every market Lulu operates in, refreshed on a schedule you control. It runs on the same infrastructure behind our Grocery Data Scraping Services and sits inside our broader Grocery Dataset catalog, with custom builds available through our Web Scraping Services team.
Request Free Sample DatasetQuick Stats
Price From
$189Starting Price
Records
3.3M+Total Records
Format
CSV / JSONDelivery Format
Delivery
ImmediateAvailability
22+
Categories Covered
2+ Yrs
Historical Depth
7 Countries
Market Coverage
Daily
Refresh Cycle
Why Teams Choose Our Lulu Hypermarket Dataset Over a DIY Crawl
Lulu’s product range spans grocery and general merchandise in the same store, with pricing and promotions that differ by country and by category. A scraper built for a single-category grocery chain tends to miss the general-merchandise side entirely, or blend the two together in ways that make the data useless.
One Schema, Grocery and General Merchandise
Product name, SKU, brand, price, rating, and stock status arrive in a single Lulu Hypermarket product dataset, spanning both grocery aisles and non-food categories without losing category distinction.
Country-Aware Precision
Our Lulu Hypermarket product listings dataset tracks category placement and pricing separately by country, since a weekly offer in the UAE won’t necessarily match the same SKU’s price in Oman.
Scoped to What You Actually Need
Pull specific categories, countries, or the full catalog. Refresh daily, weekly, or near-live. Delivered as CSV, JSON, Excel, or a direct API feed.
Formats Your Tools Already Read
CSV and Excel exports work straight in Power BI or Tableau. JSON and API feeds ship with a documented schema for Snowflake, BigQuery, or Redshift.
Live Pricing, Plus Real History
See today’s price alongside 2+ years of historical price and promotion data, tracked separately by market and currency.
Inventory Tracked at Store Level
Our Lulu Hypermarket Inventory Dataset tracks stock status at a granular level, since hypermarket assortment can vary meaningfully between store locations within the same city.
What’s Actually Inside the Lulu Hypermarket Dataset
The Lulu Hypermarket dataset answers four practical questions across every market it covers: what’s listed, what it costs right now, what customers think of it, and whether it’s actually in stock. Those four questions map to the four sub-datasets below, all keyed together so nothing needs manual reconciling across countries or categories.
Most clients start with pricing, usually chasing a specific question — is a competing hypermarket undercutting Lulu on a particular grocery staple in Dubai, or is Lulu’s own private-label range priced aggressively enough to matter for a national brand’s shelf strategy? Brand teams lean on the review layer to catch quality or freshness complaints early, since a hypermarket’s broad assortment means quality issues can surface in very different categories at once. Data teams mostly just want clean, timestamped records instead of raw page data pulled separately per country, which is really the core value of buying a dataset instead of building several country-specific scrapers. This dataset shares its collection standards with our broader Grocery Dataset catalog.
What people actually build with this dataset:
- Pricing-policy checks: Compare live Lulu Hypermarket pricing against RRP or your policy floor across each country separately.
- Cross-country pricing comparison: Watch how the same SKU is priced differently across Lulu’s seven-country footprint.
- Weekly-leaflet analysis: Build a historical record of Lulu’s promotional cadence by market to time competing campaigns.
- Repricing automation: Feed same-day price signals from the Lulu Hypermarket Price Dataset into your own repricing engine.
- Quality and freshness research: Mine the Lulu Hypermarket Customer Reviews Dataset for recurring complaints about freshness, packaging, or product quality.
Key Metrics
Price
$189.00Format
CSV / JSON / APIRecords
3.3M+ Verified RecordsCoverage
GCC & Middle EastUpdate Frequency
DailyAvailability
Instant AccessDelivery Time
ImmediatelyPreview actual dataset structure before purchase.
A Sample of the Lulu Hypermarket Dataset
Below is a small, illustrative slice of a single extract. Each row is one SKU captured at a point in time — the full dataset carries 55+ additional fields, including store-location ID, weekly-leaflet flags, and full price-history timestamps.
| Product ID | Product Name | Product Image 1 | Brand Name | Price | Original Price | Discount | Pack Size | Product URL | Product Image 2 |
|---|---|---|---|---|---|---|---|---|---|
| 1075221 | LuLu Coconut Oil | https://bf1af2.akinoncloudcdn.com/products/2024/09/10/81645/b0487d57-5bef-4c52-bef6-7bbab49470b6_size1920x1799_cropCenter.jpg | LuLu | AED 20.00 | AED 24.90 | 20 % OFF | 1 Litre | https://gcc.luluhypermarket.com/en-ae/lulu-coconut-oil-1-litre/p/1075221/? | https://bf1af2.akinoncloudcdn.com/products/2024/09/10/81645/b382a870-55b5-4c93-a6d6-179d993013f2_size1920x1799_cropCenter.jpg |
| 1803629 | Afia Sunflower Oil | https://bf1af2.akinoncloudcdn.com/products/2024/09/11/86739/fb534e5c-0656-4150-9963-2b46c02a6f2b_size1920x1799_cropCenter.jpg | Afia | AED 34.95 | AED 45.50 | 23 % OFF | 1.5 Litres + 500 ml | https://gcc.luluhypermarket.com/en-ae/afia-sunflower-oil-2-15-litres-500-ml/p/1803629/? | https://bf1af2.akinoncloudcdn.com/products/2024/09/11/86739/6c809b9f-9605-4165-9e0e-5d565630a778_size1920x1799_cropCenter.jpg |
| 2354563 | Choco Lake Diamond Twist Milk Chocolate Kunafa Pistachio | https://bf1af2.akinoncloudcdn.com/products/2024/12/14/320857/61caab91-efc9-4200-a664-71e3b4cc76e9_size1920x1799_cropCenter.jpg | Choco Lake | AED 25.95 | AED 27.95 | 7 % OFF | 450 g | https://gcc.luluhypermarket.com/en-ae/choco-lake-diamond-twist-milk-chocolate-kunafa-pistachio-450-g/p/2354563/? | https://bf1af2.akinoncloudcdn.com/products/2024/12/14/320857/fdbc99ec-babf-4983-afff-618538bd1156_size1920x1799_cropCenter.jpg |
| 666524 | Galaxy Mix Mini Chocolate | https://bf1af2.akinoncloudcdn.com/products/2024/09/11/95803/84827493-1c57-43cc-af3f-9bc68d488950_size1920x1799_cropCenter.jpg | Galaxy | AED 61.65 | AED 61.65 | N/A | 35 pcs + 710 g | https://gcc.luluhypermarket.com/en-ae/galaxy-mix-mini-chocolate-35-pcs-2-710-g/p/666524/? | https://gcc.luluhypermarket.com/_next/static/media/badge-lactose-free.5abe89eb.svg |
| 867243 | Al Ain Low Sodium Drinking Water | https://bf1af2.akinoncloudcdn.com/products/2025/03/29/92141/846d9e46-0086-4a31-8dd3-1cc17e922a39_size1920x1799_cropCenter.jpg | Al Ain | AED 10.50 | AED 19.20 | 45 % OFF | 500 ml | https://gcc.luluhypermarket.com/en-ae/al-ain-low-sodium-drinking-water-value-pack-24-500-ml/p/867243/? | https://bf1af2.akinoncloudcdn.com/products/2025/03/29/92141/968c6dfd-ba5a-41a0-889e-9c59cada1d71_size1920x1799_cropCenter.jpg |
| 1146382 | Al Ain Bottled Drinking Water Low Sodium | https://bf1af2.akinoncloudcdn.com/products/2025/03/29/92051/c435430c-b170-4ba3-a00b-a595462f2548_size1920x1799_cropCenter.jpg | Al Ain | AED 5.95 | AED 6.10 | 2 % OFF | 500 ml | https://gcc.luluhypermarket.com/en-ae/al-ain-bottled-drinking-water-low-sodium-value-pack-12-500-ml/p/1146382/? | https://bf1af2.akinoncloudcdn.com/products/2025/03/29/92051/12bedfb9-a101-4204-bee4-757dd2e3a9e6_size1920x1799_cropCenter.jpg |
| 2031153 | Rahaf Sunflower Oil | https://bf1af2.akinoncloudcdn.com/products/2024/09/10/86624/b2cbfc59-9ad8-4a79-be6f-a890e6fba814_size1920x1799_cropCenter.jpg | Rahaf | AED 26.90 | AED 37.50 | 28 % OFF | 3 Litres | https://gcc.luluhypermarket.com/en-ae/rahaf-sunflower-oil-3-litres/p/2031153/? | https://bf1af2.akinoncloudcdn.com/products/2024/09/10/86624/00a582e2-ead2-4b29-8fd4-565002291864_size1920x1799_cropCenter.jpg |
| 453496 | Al Ain Bottled Drinking Water Low Sodium | https://bf1af2.akinoncloudcdn.com/products/2025/03/29/92241/a2d62c38-c731-48dd-9a3c-73f364d33e6f_size1920x1799_cropCenter.jpg | Al Ain | AED 5.90 | AED 5.90 | N/A | 1.5 Litres | https://gcc.luluhypermarket.com/en-ae/al-ain-bottled-drinking-water-low-sodium-value-pack-6-15-litres/p/453496/? | https://bf1af2.akinoncloudcdn.com/products/2025/03/29/92241/9a58c0c2-f033-4784-84b2-2136657663db_size1920x1799_cropCenter.jpg |
| 829535 | Brooke Bond Red Label Indian Tea | https://bf1af2.akinoncloudcdn.com/products/2025/11/19/99032/4a183ec9-ad3d-4636-9258-cf300572ddd2_size1920x1799_cropCenter.jpg | Brooke Bond | AED 21.50 | AED 40.50 | 47 % OFF | 400 g | https://gcc.luluhypermarket.com/en-ae/brooke-bond-red-label-indian-tea-2-x-400-g/p/829535/? | https://bf1af2.akinoncloudcdn.com/products/2025/11/19/99032/9405edce-3fbc-4183-b96f-b52eb1a86746_size1920x1799_cropCenter.jpg |
| 1364376 | Oasis Low Sodium Bottled Drinking Water | https://bf1af2.akinoncloudcdn.com/products/2026/06/30/91935/ee5dffb2-9fc6-4003-8409-4a0be1bc4932_size1920x1799_cropCenter.jpg | Oasis | AED 4.50 | AED 5.40 | 17 % OFF | 1.5 Litres | https://gcc.luluhypermarket.com/en-ae/oasis-low-sodium-bottled-drinking-water-value-pack-6-x-1-5-litres/p/1364376/? | https://bf1af2.akinoncloudcdn.com/products/2026/06/30/91935/a58a262b-5f6c-4869-9a90-4c6510c31eb7_size1920x1799_cropCenter.jpg |
The Four Layers of the Lulu Hypermarket Dataset
Rather than one flat export, the Lulu Hypermarket dataset splits into four connected layers, licensed individually or together as a complete Lulu Hypermarket Grocery Dataset, joined on a common product key across every market covered.
Lulu Hypermarket Product Listings Dataset
The descriptive layer behind every item across Lulu’s grocery and general-merchandise range — what it is, how it’s categorized, and how it’s presented per country.
- Product name, category and sub-category placement, brand, and SKU identifiers
- Description text, pack-size or product-specification details, and Arabic/English localization flags
- Primary and gallery image URLs
- Variant hierarchy — size, color, and pack configuration where applicable
Lulu Hypermarket Price Dataset
Pricing at Lulu can differ by weekly leaflet cycle, click-and-collect channel, and country currency, all for the same underlying SKU.
- Shelf price, RRP, discount percentage, and click-and-collect pricing, tracked per country in local currency
- Full price-change history with timestamps
- Weekly-leaflet and promotional badges tied to their active window and country
- Delivery-fee and minimum-order-value data by city and country where online ordering applies
Lulu Hypermarket Inventory Dataset
Because Lulu operates large-format physical stores with growing click-and-collect and delivery services, knowing what’s actually in stock at a given store or fulfillment channel matters as much as the price tag.
- Store-level and online stock status: in stock, limited stock, or out of stock
- Category and sub-category assortment differences between store locations and countries
- Private-label flag (Lulu-branded lines and others) for competitive benchmarking
- Historical stock-status trends to spot seasonal restocks and regional shortages
Lulu Hypermarket Customer Reviews Dataset
Because a hypermarket’s assortment spans both perishable groceries and durable general merchandise, review sentiment here often varies significantly by category.
- Individual reviews with star rating, title, review text, and submission date
- Verified-purchase flag and anonymized reviewer identifier
- Aspect-level sentiment: freshness, product quality, value for money, and delivery experience
- Rating distribution and week-over-week review velocity trends, by country
Where the Lulu Hypermarket Dataset Runs Deepest
Lulu’s footprint spans the full breadth of the GCC plus Egypt, so our coverage follows that same regional spread rather than focusing on a single country.
UAE
Lulu’s largest and deepest hypermarket network, with dense store coverage across the emirates.
Saudi Arabia
Rapidly expanding store count with growing general-merchandise assortment depth.
Oman, Qatar & Bahrain
Established hypermarket presence with consistent weekly-leaflet promotional cycles.
Kuwait & Egypt
Growing markets with distinct local pricing and category-assortment patterns.
Add-Ons
weekly-leaflet archive access, private-label pricing differentials, and Ramadan/seasonal-event tracking by country.
How Different Teams Put This Dataset to Work
The same underlying dataset ends up solving fairly different problems depending on who’s using it.
Competitive Price Monitoring
Track how competitor grocery and general-merchandise products priced at Lulu move week to week, across multiple countries, instead of checking manually.
Dynamic Repricing
Feed live signals from the Lulu Hypermarket Price Dataset directly into your own repricing logic to react to country-specific promotional cycles.
Cross-Country Market Research
Use multi-year price and rank history to understand how GCC hypermarket demand differs by country and category.
Demand Forecasting
Build forecasting models on top of 2+ years of price, stock, and review-velocity data to anticipate demand spikes around Ramadan and regional holidays.
AI and LLM Training Data
Use the clean, labeled Lulu Hypermarket product listings dataset as training data for product-attribute extraction and recommendation models.
Catalog Benchmarking
Compare listing quality — image count, bilingual content depth, variant coverage — against how Lulu presents comparable products by country.
Who Actually Uses the Lulu Hypermarket Dataset
The Lulu Hypermarket Dataset provides grocery product, pricing, availability, and discount data for market research, competitive analysis, and retail intelligence.
FMCG & Consumer Brands
Benchmark pricing, content, and shelf position against Lulu’s own private-label range across countries.
Competing Hypermarkets & Grocery Chains
Monitor cross-country and cross-category price gaps for the same SKUs.
AI & ML Companies
Source clean, structured multi-country GCC retail data for pricing models and recommendation engines.
Market Research Firms
Build regional category reports spanning seven GCC and MENA countries using multi-year historical depth.
Retail Consulting Firms
Validate market-entry and expansion hypotheses with verified, country-specific data.
Investment & Analyst Teams
Track store expansion and category velocity across markets as an alternative-data signal.
What This Dataset Actually Saves You
Manually tracking Lulu’s pricing across seven countries and two-dozen-plus categories simply isn’t realistic without automation — and it definitely won’t catch a country-specific weekly-leaflet price that only runs for a few days.
Hours Back, Not Days
A structured feed replaces manual, country-by-country price-checking entirely — what used to take a team days to compile is available on a schedule you set.
Forecasts Grounded in Real History
2+ years of price and rank data lets you separate genuine seasonal demand from one-off promotional spikes, market by market.
Reacting in Hours, Not Weeks
Weekly-leaflet cycles differ by country. A same-day feed means you find out about a price change the same day it happens, wherever it happens.
Built Around Your Pipeline, Not Ours
Pick the categories, countries, and cadence that matter to you — delivered as CSV, JSON, API, or Parquet.
How the Lulu Hypermarket Data Scraping Pipeline Actually Works
Here’s the straightforward version of how this gets built, not a marketing summary of it.
Collection Approach
Ethical, rate-limited collection from Lulu’s publicly visible pages across all seven covered countries — no credential bypass, no restricted API access.
Validation Before Delivery
Every batch runs through automated schema checks, then a manual spot-check pass before it shEvery batch runs through automated schema checks, then a manual spot-check pass before it shipsips.
Deduplication
Repeat pulls of the same SKU are collapsed into one clean historical record instead of duplicate rows.
Refresh Scheduling
Daily, weekly, or intraday cycles keep pricing and stock fields current without you having to request a re-pull.
Stable Schema
Field names and structure stay consistent release over release, so your ingestion pipeline doesn’t break on the next refresh.
Compliance
Only publicly available retail data is collected, consistent with standard commercial data practice and platform terms.
This methodology runs on the same Grocery Data Scraping Services infrastructure behind our other grocery-retail datasets — Lulu Hypermarket Data Scraping is a maintained pipeline, not a one-off project.
Delivered However Your Stack Expects It
Get the Lulu Hypermarket Dataset through flexible delivery options, with grocery product, pricing, and availability data ready for retail analytics and seamless data integration.
CSV / Excel
Drop straight into Excel pricing models, Tableau dashboards, or Power BI reports.
JSON / API Feed
Documented schema, ready for direct ingestion into your application backend or data pipeline.
Cloud Storage / Database
Automated delivery to S3, SFTP, Snowflake, BigQuery, or Redshift on whatever cadence you set.
Pick the Plan That Matches Your Scope
WebDataInsights offers flexible Lulu Hypermarket Dataset pricing plans with grocery product, pricing, availability, and discount data tailored to your research and retail analytics needs.
One-Time Dataset Purchase
From $189
A one-time Lulu Hypermarket dataset snapshot, delivered right away — no subscription commitment.
What’s included:
- Full point-in-time dataset snapshot
- CSV, JSON, or Parquet delivery
- Filter by category and country before delivery
Enterprise License
Contact Sales
Full-category, all-seven-country coverage with unlimited access and an SLA behind it.
What’s included:
- Unlimited API calls and delivery volume
- Dedicated account manager, 99.5% SLA
- Custom schema design and white-label delivery
A Team That’s Actually Built This Before
The Lulu Hypermarket Dataset delivers grocery retail insights on products, prices, discounts, and availability for smarter market and competitive analysis.
Track Record at Scale
Millions of verified records collected and refreshed continuously across the Middle East’s major hypermarket and grocery chains — Lulu is one of several, not a one-off build.
Support That Doesn’t Disappear After Launch
Dedicated account management, SLA-backed delivery, and proactive alerts if a schema ever needs to change.
Compliance-First, By Default
Only publicly accessible retail data is collected — no credential bypass, no restricted-API workarounds.
Custom Builds When You Need Them
Need a field, category, or country we haven’t listed here? We build custom Lulu Hypermarket dataset configurations on request.
Questions People Actually Ask Us About the Lulu Hypermarket Dataset
These come from real conversations with brands, analysts, and engineering teams evaluating this dataset.
It’s a structured export of Lulu’s hypermarket retail data — product listings, pricing, inventory availability, and customer reviews across all seven countries Lulu Hypermarket operates in — cleaned, deduplicated, and delivered as CSV, JSON, or an API feed through our Lulu Hypermarket Data Scraping pipeline.
CSV, Excel (XLS/XLSX), JSON, and API feeds by default. Parquet is available on request for Spark, Databricks, Snowflake, or BigQuery pipelines.
Pricing and stock fields can refresh intraday on enterprise plans, since weekly-leaflet and click-and-collect pricing changes quickly. Listings update daily, and reviews update on a rolling basis.
Yes — tell us which countries, categories, fields, and refresh cadence you need, and we scope the extract accordingly rather than delivering a generic full export.
Yes, more than two years of historical pricing, including shelf price, RRP, and discount timestamps, tracked per country in local currency.
Yes. The Lulu Hypermarket Price Dataset and Inventory Dataset track SKU-level pricing over time by country, so you can flag when a listing drops below your policy floor in any specific market without manual checking.
Yes. Because Lulu’s hypermarket format spans grocery, electronics, apparel, and home goods in the same store, the Lulu Hypermarket Grocery Dataset and Product Dataset both track categories across the full range rather than grocery alone.
Yes. Only publicly visible pages on Lulu’s website and app are collected, using rate-limited, ethical methods. We don’t bypass logins or access restricted internal APIs.
A DIY scrape typically returns inconsistent, messy data that needs significant cleanup, especially when trying to normalize across seven different countries and currencies. This dataset is already normalized, deduplicated, and schema-stable, ready for analysis the same day it arrives.
UAE, Saudi Arabia, Oman, Qatar, Bahrain, Kuwait, and Egypt — the core markets where Lulu Hypermarket currently operates.
Mostly FMCG and consumer brands, competing hypermarkets and grocery chains, market research firms, AI/ML teams, retail consultants, and investment analysts tracking the GCC retail sector.
Yes — automated delivery to S3, SFTP, Snowflake, BigQuery, or Redshift on whatever schedule you choose.
Get a Real Look at Lulu Hypermarket’s Retail Data
3.3M+ verified records, daily pricing refreshes, and 2+ years of historical depth across seven GCC and Middle East markets — starting at $189.