We extract diamond inventory, engagement ring settings, watch catalogues, and pricing signals from jared.com. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Rings & Settings objects from jared.com. All fields typed and schema-versioned.
"sku": "123456789", "product_name": "Neil Lane Engagement Ring 1 ct tw Diamonds 14K White Gold", "brand": "Neil Lane", "metal_type": "14K White Gold", "setting_style": "Halo", "total_carat_weight": 1.0, "price": 3499.0, "list_price": 3999.0
| # | sku | product_name | brand | collection | metal_type | stone_type |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Loose Diamonds objects from jared.com. All fields typed and schema-versioned.
"sku": "LD987654", "shape": "Round", "carat_weight": 1.5, "colour_grade": "G", "clarity_grade": "VS1", "cut_grade": "Ideal", "lab_grown": true, "price": 4250.0
| # | sku | shape | carat_weight | colour_grade | clarity_grade | cut_grade |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Watches objects from jared.com. All fields typed and schema-versioned.
"sku": "W456123", "brand": "TAG Heuer", "model_number": "CAZ1010.FT8024", "case_size_mm": 43, "dial_colour": "Black", "movement_type": "Quartz", "water_resistance_m": 200, "price": 1650.0
| # | sku | brand | model_number | case_size_mm | dial_colour | movement_type |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Necklaces & Pendants objects from jared.com. All fields typed and schema-versioned.
"sku": "N789456", "style": "Pendant", "chain_length_inches": 18, "clasp_type": "Lobster Clasp", "metal_type": "Sterling Silver", "gemstone": "Sapphire", "price": 299.0
| # | sku | style | chain_type | chain_length_inches | clasp_type | metal_type |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Stock objects from jared.com. All fields typed and schema-versioned.
"sku": "123456789", "current_price": 3499.0, "original_price": 3999.0, "discount_pct": 12.5, "promotional_text": "Save $500 - Limited Time", "online_stock_status": "In Stock", "store_pickup_eligible": true, "scraped_at": "2026-05-12T09:14:00Z"
| # | sku | current_price | original_price | discount_pct | promotional_text | online_stock_status |
|---|---|---|---|---|---|---|
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Our jared.com scraper handles complex product taxonomies: diamond configurators, metal variations, designer collections, and dynamic pricing — with JavaScript rendering and anti-bot circumvention built in.
Extract the 4Cs (carat, cut, colour, clarity) alongside polish, symmetry, fluorescence, and lab-grown certifications.
Capture current price, original price, clearance flags, and promotional banner text timestamped per crawl.
Identify and normalise metal types across 14K gold, 18K gold, platinum, sterling silver, and alternative metals.
Track SKU distribution across designer lines like Neil Lane, Le Vian, Vera Wang, and PANDORA.
Extract primary product images and alternate angle URLs for visual analysis and AI model training.
Track online stock availability and store-pickup eligibility by specific ZIP code inputs.
Explicitly classify stones as natural or lab-created based on product metadata and descriptions.
Parse detailed horological data: movement type, case size, water resistance, and crystal material.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide category URLs, brand names, or specific SKU lists. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for jared.com.
Schema validation, null-rate checks, price-outlier detection, and sample data review before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured data from modern retail sites requires rendering complex frontends. Here is how we stay resilient.
Retail sites deploy bot protection to block automated scraping. Our crawlers use US-based residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass perimeter defenses.
Jared's diamond search and custom ring builders rely heavily on JavaScript. We run full Playwright browser sessions to interact with these configurators, capturing data that headless HTTP clients miss entirely.
Retail layouts change during major promotional events. Our selector strategy uses fallback chains — CSS selectors, XPath, and LD+JSON parsing — ensuring your data pipeline survives holiday site redesigns.
For large catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs — reducing compute cost and downstream processing load when tracking daily price fluctuations.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing specifications, and coverage drops — responding before you notice.
Jewellery retailers track pricing, discount depths, and clearance events across Jared's catalogue to adjust their own margins.
Analysts extract loose diamond specifications to correlate the 4Cs with retail pricing trends and lab-grown adoption rates.
Designer brands monitor their SKU counts, stock availability, and placement within Jared's digital storefront.
Merchandising teams analyse shifts in popular metal types, stone shapes, and setting styles based on inventory additions.
Watch manufacturers and designer labels ensure their Minimum Advertised Price agreements are maintained across retail channels.
Machine learning teams use structured jewellery metadata and high-resolution imagery to train visual recognition and recommendation models.
"Jared.com holds a highly structured taxonomy of diamonds, metals, and designer collections — but extracting the exact specifications requires rendering complex configurators."
Most teams underestimate the investment required: reliable jewellery scraping requires residential proxies, full JavaScript rendering for diamond configurators, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our jared.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering, cookie sessions, and interaction flows for complex configurators.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions where required to prevent IP bans.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About jared.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from jared.com is generally permissible under applicable law, reinforced by the hiQ v. LinkedIn ruling. DataFlirt targets only public, non-authenticated product and pricing data. We do not extract personal data or circumvent authentication walls.
We use full Playwright browser sessions to execute the JavaScript required by custom ring builders and loose diamond search interfaces, capturing the exact specifications rendered in the DOM.
Yes. We extract the URLs for high-resolution primary images and alternate angles. We can deliver the URLs in the dataset or download the binary files directly to your S3 bucket.
Pipelines can be configured to run daily or at higher frequencies. Change-detection diffs ensure you receive pricing updates as soon as they are published to the site.
Yes. By providing a list of target ZIP codes, we can simulate location-based browsing to extract store-pickup availability and local inventory status for specific SKUs.
Our smallest packages start at a defined category or brand list with weekly delivery. For full-site catalogue extraction, we price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off diamond inventory dump or a continuous price-monitoring feed across designer collections — we scope, build, and operate the pipeline. Tell us what you need.
