We extract product catalogues, dynamic gold pricing, diamond specifications, and store inventory from Luk-Fook. 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 Jewellery Catalogue objects from luk-fook.com. All fields typed and schema-versioned.
"sku": "LF12345", "title": "18K Gold Diamond Ring", "category": "Rings", "metal_type": "18K White Gold", "metal_weight": "2.4g", "price": 12500.0, "currency": "HKD", "availability": true
| # | sku | title | category | sub_category | metal_type | metal_weight |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Daily Gold Pricing objects from luk-fook.com. All fields typed and schema-versioned.
"date": "2026-10-25", "region": "Hong Kong", "metal_type": "Gold", "purity": "999.9", "buy_price": 19500.0, "sell_price": 21000.0, "currency": "HKD", "weight_unit": "tael"
| # | date | region | metal_type | purity | buy_price | sell_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Diamond Specifications objects from luk-fook.com. All fields typed and schema-versioned.
"sku": "LF12345", "carat": 0.5, "colour": "G", "clarity": "VS1", "cut": "Excellent", "shape": "Round", "certificate_type": "GIA"
| # | sku | carat | colour | clarity | cut | shape |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Store Locations objects from luk-fook.com. All fields typed and schema-versioned.
"store_id": "HK-045", "name": "Causeway Bay Branch", "region": "Hong Kong", "city": "Hong Kong", "address": "1/F Sogo Department Store", "phone": "+852 2838 1234", "opening_hours": "10:00-22:00", "latitude": 22.2801, "longitude": 114.1848
| # | store_id | name | region | city | address | phone |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Collections objects from luk-fook.com. All fields typed and schema-versioned.
"collection_name": "Love is Beauty", "theme": "Bridal", "product_count": 45, "min_price": 3500.0, "max_price": 45000.0, "currency": "HKD", "launch_season": "AW26"
| # | collection_name | theme | product_count | min_price | max_price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Luk-Fook scraper extracts fine jewellery metadata, dynamic gold pricing, and regional inventory with JavaScript rendering and session management built in.
Title, description, metal type, weight, and every metadata field Luk-Fook surfaces, scraped at SKU level with variant mapping.
Capture dynamic buy and sell prices for 999.9 gold and platinum across different regions and currencies.
Extract carat, colour, clarity, and cut specifications alongside certificate details for all diamond inventory.
Track pricing discrepancies across Hong Kong, Mainland China, and international storefronts using localised IPs.
Extract clean URLs for high-resolution product images and promotional banners without CDN watermarks.
Scrape all retail locations, contact details, operating hours, and available in-store services globally.
Monitor online inventory status and out-of-stock indicators for high-demand bridal and gifting collections.
Parse precise metal weights in grams or taels to calculate premium over spot gold prices.
Run continuous pipelines with change-detection diffing to only export new products or price updates.
Brief in. Clean data out.
Provide category URLs, collections, or regions. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and JavaScript rendering for luk-fook.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or webhook on agreed cadence.
Fine jewellery sites use dynamic pricing widgets and regional blocking. Here is how we stay resilient.
Luk-Fook updates gold prices dynamically via background API calls. We run full Playwright browser sessions to intercept these payloads and render the exact pricing widgets customers see.
Pricing and product availability differ between Hong Kong and Mainland China. We use residential ISP proxies from specific regions to capture accurate, localised data.
Jewellery SKUs have complex variants based on ring size, metal purity, and diamond weight. Our schema normalises these combinations into flat, queryable records.
We extract the base URLs for high-resolution product imagery, bypassing lazy-loading scripts and low-quality thumbnails.
Retail sites update their DOM structure frequently. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline.
Jewellery brands monitor Luk-Fook pricing, premium over spot gold, and diamond markups to adjust their own retail strategies.
Financial analysts track daily retail gold rates across regions to index consumer demand against global commodity markets.
Retailers map Luk-Fook store locations and regional assortments to identify whitespace for new physical locations.
Supply chain teams track stock depth and out-of-stock indicators on seasonal bridal collections to forecast demand.
Merchandisers analyse category splits between 18K gold, platinum, and diamond products to optimise their own catalogue.
Machine learning teams use structured jewellery metadata and high-res images to train visual search and recommendation models.
"Luk-Fook represents a critical node in the Asian jewellery market. Tracking their daily gold rates and diamond inventory provides clear signals on regional retail demand and commodity pricing."
Extracting data from fine jewellery retailers requires precision. Daily gold prices fluctuate, diamond specifications demand exact parsing, and regional storefronts load dynamically based on IP. DataFlirt manages the proxy rotation, JavaScript execution, and schema parsing so your analysts get structured data without the infrastructure overhead.
Everything supported by our luk-fook.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 for dynamic pricing widgets.
We maintain pools of residential ISP proxies across Asia. Rotation happens per-request to capture accurate regional pricing.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About luk-fook.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We configure pipelines to run daily or hourly to capture the dynamic buy and sell rates for 999.9 gold and platinum across different regional storefronts.
We use localised residential proxies to access the Hong Kong, Mainland China, and international versions of the site, capturing prices in HKD, CNY, or USD respectively.
Yes. Our schema captures the 4Cs (carat, colour, clarity, cut) along with certificate types (e.g., GIA) and certificate numbers when provided on the product page.
Yes. We bypass thumbnail rendering to extract the source URLs for the highest resolution imagery available on the Luk-Fook CDN.
Full catalogue refreshes typically complete within a 4 to 8 hour window. We can configure delta runs to only scrape new collections or updated SKUs.
Yes. We extract the full directory of retail locations, including addresses, operating hours, phone numbers, and available in-store services.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily gold price tracking or a full jewellery catalogue extraction, we scope, build, and operate the pipeline. Tell us what you need.
