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ACTIVE PRODUCTS
See how Amazon glassware data scraping decoded Bormioli Rocco’s pricing, reviews, and category strategy at marketplace scale.
Bormioli Rocco — one of Italy’s largest glassware manufacturers, led by President & CEO Davide Sereni — has translated centuries of craftsmanship into a commanding Amazon presence: 306 active products, more than 187,000 reviews, and a 4.38 average rating. This case study shows how Amazon glassware data scraping reconstructs that entire performance picture from public marketplace data alone. Using iWeb Data Scraping’s pipeline, we captured Bormioli’s Amazon catalog, pricing, discounts, review volume, and ratings, then converted it into competitor intelligence any home, kitchen, or glassware brand can act on. The pattern is clear: practical drinkware drives demand, a value ladder runs from sub-$8 entry pieces to premium 12-packs, and confident pricing with minimal discounting protects brand equity.
Public posts tell you that Bormioli performs — rarely how in a way you can act on. Which SKUs anchor the reviews? How does pricing ladder from everyday glasses to premium sets? Where do the few discounts land? A market crowded with counterfeits and manufacturing complexity makes clean data even harder to isolate. On Amazon, collecting it by hand means fighting anti-bot defenses, shifting prices and stock that change by the minute, ASINs that rotate, and review counts that move daily. Reliable Amazon glassware data scraping is the only way to see the full shelf at once.
| Factor | DIY Scraping | iWeb Data Scraping |
|---|---|---|
| Data freshness | Manual, quickly outdated | Scheduled refresh, near real-time |
| Scale & coverage | A few ASINs at a time | Full catalog + category-wide |
| Anti-bot & blocks | Breaks on CAPTCHAs / IP bans | Managed proxy & bypass infra |
| Counterfeit noise | Hard to separate sellers | Brand-verified, deduplicated |
| Cleaning & structure | Messy raw HTML | Normalized, validated tables |
| Time to insight | Days to weeks | Analysis-ready on delivery |
Founded in Italy and now led by President & CEO Davide Sereni, Bormioli Rocco has navigated market shifts through strategic reorganization and a relentless focus on craftsmanship. It dominates segments like preserving jars in Italy while continuing to innovate in durable, design-forward glassware for both consumers and professionals. On Amazon, that heritage translates into 306 active products at a $28.59 average price, a 4.38 average rating across 187,626 reviews, and a lean 6.59% average discount — confident positioning backed by consistent quality.
Source mapping — Bormioli’s Amazon storefront, individual ASIN pages, review sections, and category listings.
Structured extraction — ASINs, titles, categories, prices, discounts, star ratings, and review counts captured into normalized tables through scalable Amazon product data scraping.
Enrichment & sentiment — reviews tagged by theme (durability, design, value) via review sentiment analysis.
Delivery — clean CSV, JSON, or an Amazon data scraping API, run as a price monitoring / data-as-a-service pipeline that refreshes on schedule.
Consistency is Bormioli’s signature. Across 306 products, ratings cluster firmly at the top: 123 products hold a full 5 stars and 166 sit at 4 stars, with just 12 rated 3 stars or below. For a competitor, this is a trust moat that price alone cannot dent — and a benchmark for what “consistent quality at scale” actually looks like in the data.
Customer Ratings Snapshot
| Rating | Products |
|---|---|
| 5 stars | 123 |
| 4 stars | 166 |
| 3 stars or below | 12 |
Takeaway: Rating distribution reveals durability of trust, not just averages. Track a rival’s star spread by ASIN to see where quality (or complaints) actually concentrate.
Review volume shows where everyday use meets loyalty. The Hermetic Seal Pitcher alone carries 19,122 reviews, followed by the Bodega Glassware Set (7,163) and Selecta Whiskey Decanter (6,891). Zoom out to categories and Serveware, Tumblers & Water Glasses, and Jars form the engine room of engagement — the shelves any challenger must contend with.
Review Concentration by Category
| Category | Total Reviews |
|---|---|
| Serveware | 52,423 |
| Tumblers & Water Glasses | 52,423 |
| Jars | 35,796 |
See this in your own category → iWeb Data Scraping can map a competitor’s full Amazon catalog, review concentration, and pricing ladder into one dashboard. Email info@iwebdatascraping.com to scope your dataset.
Bormioli makes trial easy, then scales the basket. Entry pieces stay under $8 — the Rock Bar Lounge Glass at $7.10, Swing Bottle at $7.47, and Quattro Stagioni Lids (3-pack) at $7.68 — inviting first-time buyers. At the top, high-volume premium 12-packs like the Fido jars ($84.14–$89.99) and Prometeo Steak Plates ($91.21) capture volume buyers without diluting the brand.
Value Ladder Extract
| Tier | Product | Price | Role |
|---|---|---|---|
| Entry | Rock Bar Lounge Glass | $7.10 | Trial / everyday |
| Entry | Swing Bottle | $7.47 | Trial / everyday |
| Entry | Quattro Stagioni Lids (3pk) | $7.68 | Accessory / repeat |
| Premium | Fido Round Jar (12pk) | $84.14 | Bulk / basket builder |
| Premium | Fido Storage Jar (12pk) | $89.99 | Bulk / basket builder |
| Premium | Prometeo Steak Plates (12pk) | $91.21 | Premium set |
Competitive reality: Your rivals are already reading this shelf. Every week without current Amazon pricing, discount, and review data is a week of decisions made on guesswork.
Bormioli discounts sparingly — a 6.59% average — signaling pricing power rather than dependence on markdowns. Promotions are surgical: the most expensive item, Stemmed Water Glasses at $42.47, holds firm, while the most discounted line, Dispensers at 27.55% off, is used to move specific inventory. Strategic promotions meet premium positioning, protecting margin and brand equity at the same time.
Illustrative samples of the structured Amazon output iWeb Data Scraping delivers. (ASINs and some values represent the schema and formatting, not live figures — swap in your fresh scrape before publishing.)
Amazon Product Catalog Extract
| ASIN | Product | Category | Price | Rating | Reviews | Discount |
|---|---|---|---|---|---|---|
| B0BORM0001 | Hermetic Seal Pitcher | Serveware | $24.99 | 4.5 | 19,122 | 6% |
| B0BORM0002 | Bodega Glassware Set | Tumblers | $19.99 | 4.4 | 7,163 | 8% |
| B0BORM0003 | Selecta Whiskey Decanter | Barware | $34.99 | 4.4 | 6,891 | 5% |
| B0BORM0004 | Rock Bar Lounge Glass | Tumblers | $7.10 | 4.5 | 4,210 | 10% |
| B0BORM0005 | Prometeo Steak Plates (12pk) | Serveware | $91.21 | 4.6 | 1,340 | 12% |
For any brand studying a competitor like Bormioli Rocco, this dataset replaces weeks of manual research with a refreshable source of truth. Teams use Amazon glassware data scraping — and the same product data scraping approach across any category — to benchmark pricing and discounts, identify hero-category white-space, monitor review velocity, and separate genuine listings from counterfeit noise. It is the kind of evidence-led content that also earns high-intent inquiries from readers already looking to buy the data.
We don’t hand you guesses — we hand you the data. iWeb Data Scraping delivers clean, validated intelligence on Amazon pricing, stock, discounts, and sentiment across any brand or category, backed by managed anti-bot infrastructure and scheduled refresh, so your high-stakes decisions rest on ground truth instead of stale snapshots.
It is the automated collection of structured product information from Amazon — ASINs, titles, prices, discounts, ratings, and review counts — delivered as clean, analysis-ready data.
iWeb Data Scraping collects publicly available information and follows applicable regulations and platform terms. We advise clients on compliant, ethical collection for competitive intelligence use.
The brand metrics are drawn from public data; the sample ASINs and some values are illustrative of our schema. For a live project, every value comes from a fresh, validated scrape.
Timelines depend on scope, but a focused catalog pull is typically ready within days, with ongoing refresh via a data-as-a-service pipeline.
Tell iWeb Data Scraping which brands to track, and we’ll turn their public Amazon footprint into clean, competitor-ready intelligence.
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