Landmark Group operates HomeBox and HomeCenter — furniture and homeware retail brands across the UAE and Saudi Arabia. They compete against IKEA, Danube, Panemirates, and Homesrus in a price-sensitive market.
Their Head of eCommerce had a problem: they were making dynamic pricing decisions based on incomplete competitor data. In their internal scraping runs, 30-40% of competitor data was missing — and no one knew which products were affected.
When that much data is missing, your trend analysis shows gaps. Your dynamic pricing responds to partial signals. You're not competing — you're hoping.
The Analyst Who Became a Scraper Maintenance Engineer
Before working with us, Landmark ran their own scraping infrastructure. A retail analyst was writing scrapers, maintaining them, and preparing PowerBI reports.
Competitor sites blocking IKEA uses complex rendering and aggressive anti-bot defenses. Their in-house scrapers couldn't get through consistently.
Incomplete navigation Furniture sites have deep category hierarchies. Their scrapers couldn't navigate all levels reliably.
The result: 30-40% of data missing on any given scrape. And the retail analyst was spending 6+ hours per week just keeping scrapers running — time that should have gone to analysis.
What Changed: Real Data from Their Actual Competitors in 24 Hours
We provided sample data from each of their competitor sites within 24 hours — including IKEA, which their in-house setup couldn't crack.
What We Provide
Every week, Landmark receives structured data across seven sites — five competitors plus their own two brands for accuracy verification.
| Site | Products Tracked | Data Fields |
|---|
| IKEA UAE | 14,089 | 23 |
| IKEA KSA | 13,021 | 10 |
| Panemirates | 11,778 | 8 |
| Homesrus | 11,382 | 18 |
| Danube | 4,370 | 12 |
| HomeBox (own) | 790 | 7 |
| HomeCenter (own) | 794 | 7 |
| Total | ~56,000 | — |
This coverage means Landmark sees the full competitive landscape for their in-scope categories — not a sample.
For IKEA specifically, we capture 23 fields per product:
| Category | Fields Captured |
|---|
| Basic | URL, title, price, old price, discounted price |
| Dimensions | Length, width, weight, area |
| Packaging | Width, height, length, weight, number of packages |
| Product Info | Materials, care instructions, product hierarchy |
| Quality | Average rating, number of reviews |
| Special | Sustainability info, badges, package quantity |
This depth matters. When a competitor tracks sustainability data and features "eco-friendly" badges, Landmark sees the positioning signals — not just prices. These fields feed directly into PowerBI dashboards and dynamic pricing decisions.
The Complexity Behind Weekly Delivery
~56,000 products across seven sites sounds straightforward. It isn't.
Anti-bot protection IKEA uses complex rendering and aggressive anti-bot defenses. We maintain access using multiple collection approaches and monitoring.
Deep category navigation Furniture catalogs have nested hierarchies — hundreds of categories across competitors in Landmark's in-scope taxonomy. We traverse every level to capture complete product coverage.
Multi-market handling We track IKEA in both UAE and KSA, handling currency differences (AED vs SAR) and regional URL variations. This enables Landmark to see what's available in each market — and what isn't.
Ongoing maintenance These sites change structure regularly. We detect and fix issues before scheduled delivery.
What the Data Revealed: Always-On Discounting
Panemirates: In the tracked dataset, 100% of products were marked on sale.
| Competitor | Products | % On Sale | Avg Discount |
|---|
| Panemirates | 11,778 | 100% | 42.8% |
| Homesrus | 11,382 | 99.7% | 37.5% |
| Danube | 4,370 | 89.8% | 38.7% |
| HomeBox (own) | 790 | 58.1% | 25.5% |
When a competitor runs their entire catalog at 42.8% average discount, that's a strategic signal — about their inventory position, their margin structure, their market approach.
We also detected extreme discounts: 93% off on individual products at Panemirates. When competitors are liquidating that aggressively, you need to know — either to match or to hold your position.
Regional Intelligence: UAE vs KSA
With both IKEA markets tracked, Landmark can now see regional differences:
- IKEA UAE: 14,089 products
- IKEA KSA: 13,021 products
- Difference: ~1,000 products available in UAE but not KSA
This matters for regional strategy. If a competitor offers different assortments in different markets, Landmark can identify gaps and opportunities by region.
Two Years Later: From Guessing to Deciding
Before
- 30-40% of data missing in internal scraping
- 6+ hours per week on scraper maintenance
- Dashboards showing incomplete trends
- Dynamic pricing based on partial inputs
After
- Reliable coverage across ~56,000 products
- No scraper maintenance time for their team
- Dashboards showing accurate market position
- Dynamic pricing based on reliable data
"From 30-40% missing data to reliable coverage. Saved 6 hours a week."
"Most importantly, the customer started using scraped data and making decisions for dynamic pricing on a regular basis."
That last part matters most. Data only creates value when people trust it enough to act on it.
Who This Helps
Landmark's story resonates with furniture and homeware retailers — and any company facing these challenges:
- Dynamic pricing programs that need complete, reliable competitor inputs
- Business intelligence teams whose dashboards are only as good as their data
- Analysts spending time on scraper maintenance instead of analysis
- Multi-market retailers who need regional competitive intelligence
- Companies competing against IKEA or other sites with strong anti-bot protection
See What This Looks Like for Your Market
We'll scrape your actual competitors in your actual markets. You'll see real data within 48 hours.
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