We extract product listings, metal specifications, variant pricing, stock availability, and store locations from Gorjana. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Listings objects from gorjana.com. All fields typed and schema-versioned.
"product_id": "84920183", "sku": "1910-104-G", "title": "Parker Mini Necklace", "category": "Necklaces", "collection": "Parker", "price": 65.0, "currency": "USD", "metal_type": "18k Gold Plated"
| # | product_id | sku | title | category | sub_category | collection |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Variants & Sizing objects from gorjana.com. All fields typed and schema-versioned.
"parent_sku": "1910-104", "variant_sku": "1910-104-S", "metal_colour": "Silver", "chain_length": "16 inches", "price": 65.0, "in_stock": true, "stock_quantity": 42
| # | parent_sku | variant_sku | variant_id | metal_colour | chain_length | ring_size |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Material Specs objects from gorjana.com. All fields typed and schema-versioned.
"sku": "2021-304-14K", "base_metal": "14k Solid Gold", "plating": "None", "gemstone": "White Diamond", "carat_weight": "0.05 ct", "closure_type": "Spring Ring", "fine_jewelry_flag": true
| # | sku | base_metal | plating | gemstone | carat_weight | closure_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews objects from gorjana.com. All fields typed and schema-versioned.
"review_id": "REV-99281", "product_id": "84920183", "rating": 5, "author": "Sarah M.", "title": "Perfect everyday piece", "date": "2023-11-04", "verified_buyer": true, "helpful_votes": 12
| # | review_id | product_id | author | rating | title | body |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Store Locations objects from gorjana.com. All fields typed and schema-versioned.
"store_id": "LOC-024", "name": "Gorjana Venice", "city": "Venice", "state": "CA", "zip_code": "90291", "phone": "310-555-0192", "latitude": 33.9908, "longitude": -118.4658
| # | store_id | name | address_line_1 | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our pipeline captures every layer of Gorjana's storefront: fine jewelry specifications, fashion variants, dynamic inventory states, and retail footprints — built to handle modern D2C anti-bot measures.
Automatically categorise products into 14k solid gold fine jewelry versus plated fashion pieces based on extracted material specifications.
Extract all parent-child relationships for chain lengths, ring sizes, and metal colours (gold, silver, rose gold) with variant-specific pricing.
Parse unstructured product descriptions into structured fields: base metal, plating thickness, gemstone type, carat weight, and clasp mechanisms.
Monitor out-of-stock statuses, low-stock warnings, and restock events across all SKUs and variants in real time.
Scrape the store locator to maintain an updated database of physical Gorjana boutiques, including coordinates, operating hours, and contact details.
Paginate through product reviews to capture star ratings, verified buyer badges, timestamps, and full review text for sentiment analysis.
Map products to their respective collections (e.g., Parker, Lou) and navigational categories to replicate site taxonomy.
Capture CDN URLs for all product imagery, including lifestyle shots, flat lays, and variant-specific photos.
Receive only what changed since the last run. We diff prices, stock states, and new product additions to reduce processing overhead.
Brief in. Clean data out.
Specify categories, collections, or the entire catalogue. We map the required data fields and extraction schema.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for gorjana.com.
Schema validation, null-rate checks, price-outlier detection, and variant completeness testing before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Modern Shopify-based D2C brands employ aggressive bot mitigation and dynamic rendering. Here is how our infrastructure guarantees reliable delivery.
Gorjana uses standard D2C CDN and WAF protections. Our pipelines utilise US-based residential proxies, TLS fingerprint spoofing, and realistic browser headers to maintain high success rates without triggering rate limits.
Variant prices and stock states often require user interaction to load. We intercept background GraphQL and XHR requests during Playwright sessions to extract the full JSON payload of all product variants instantly.
Jewelry specifications are frequently embedded in rich text descriptions. We apply custom parsing rules to extract and normalise base metals, plating types, and dimensions into queryable database columns.
Product reviews are loaded dynamically via third-party review widgets. We trace the widget's API calls to paginate through the entire review history, bypassing frontend display limits.
To track restocks and sell-outs accurately, we maintain a hash of the previous run's inventory state. The pipeline only outputs records when a stock status or price changes, providing a clean time-series feed.
Competing jewelry brands analyse Gorjana's mix of fine versus fashion items, chain lengths, and ring sizes to optimise their own product development.
Retailers track pricing tiers across 14k gold, gold-plated, and silver variants to maintain competitive market positioning.
Analysts monitor new collection launches, review velocity, and stock-out rates to identify trending materials and styles.
Real estate and retail analysts map Gorjana's physical store openings to identify high-value zip codes and co-tenancy strategies.
Procurement teams use out-of-stock frequency and restock timing to model D2C supply chain efficiency and demand spikes.
Marketing teams run NLP models on extracted product reviews to understand common complaints regarding plating wear, clasp durability, or sizing.
"Gorjana’s catalogue represents critical baseline data for the accessible luxury and fine jewelry markets — but extracting structured material specs and variant availability requires a dedicated pipeline."
Most teams underestimate the complexity of modern D2C storefronts. Extracting reliable jewelry data requires full JavaScript execution to capture dynamic variant pricing, residential proxies to bypass Cloudflare, and custom parsers to normalise material specifications. DataFlirt handles the infrastructure so your engineers can focus on analysis.
Everything supported by our gorjana.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About gorjana.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We intercept the backend data payloads that populate the frontend UI, allowing us to extract every combination of variant, including its specific price, SKU, and stock availability.
Items marked as out of stock are captured with a boolean flag. We can also track 'waitlist' status or low-stock indicators if the platform surfaces exact inventory quantities in the page source.
We support both full catalogue dumps and incremental delta feeds. For inventory monitoring, we recommend daily delta feeds that only output records where price or stock status has changed since the previous run.
Yes. We extract the complete list of retail locations from their store locator, including addresses, phone numbers, exact latitude/longitude coordinates, and operating hours.
We utilise US-based residential proxies, browser fingerprint rotation, and request rate limiting modelled on human behaviour to ensure high extraction success rates without triggering blocks.
Our minimum engagement covers a full catalogue scrape (all products and variants) delivered weekly. For higher frequency requirements, such as daily stock monitoring, we price based on compute and proxy usage.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous inventory monitoring — we scope, build, and operate the pipeline. Tell us what you need.
