We extract jewellery listings, material specifications, multi-region pricing, and size availability from Pdpaola. 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 Product Listings objects from pdpaola.com. All fields typed and schema-versioned.
"sku": "AN01-893", "title": "Letters Necklace", "category": "Necklaces", "collection": "Letters", "material_base": "925 Sterling Silver", "plating": "18K Gold", "base_price": 89.0, "currency": "EUR"
| # | sku | title | category | collection | material_base | plating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Variant & Sizing objects from pdpaola.com. All fields typed and schema-versioned.
"variant_id": "AN01-893-12", "parent_sku": "AN01-893", "size": "12", "size_system": "EU", "metal_colour": "Gold", "stock_status": "IN_STOCK", "dispatch_time": "24h", "price_modifier": 0.0
| # | variant_id | parent_sku | size | size_system | metal_colour | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Regional objects from pdpaola.com. All fields typed and schema-versioned.
"sku": "AN01-893", "region_code": "US", "base_price": 105.0, "current_price": 105.0, "discount_pct": 0, "tax_included": false, "free_shipping_eligible": true, "currency": "USD"
| # | sku | region_code | base_price | current_price | discount_pct | tax_included |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from pdpaola.com. All fields typed and schema-versioned.
"review_id": "REV-98231", "sku": "AN01-893", "author": "Maria S.", "rating": 5, "title": "Beautiful everyday piece", "body": "The gold plating holds up very well. I wear it daily.", "date": "2023-11-14", "verified_purchase": true
| # | review_id | sku | author | rating | title | body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Personalisation objects from pdpaola.com. All fields typed and schema-versioned.
"sku": "AN01-893", "customisable": true, "max_characters": 3, "font_options": "['Classic', 'Modern', 'Script']", "engraving_fee": 15.0, "placement": "Pendant Back", "requires_manual_review": false
| # | sku | customisable | max_characters | font_options | engraving_fee | preview_image_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Pdpaola scraper parses intricate product details: base materials, plating specifications, dynamic ring sizing, and multi-currency pricing, handling JavaScript rendering and regional geo-blocks natively.
Parse structured material data from descriptions, separating base metals (e.g., 925 Sterling Silver) from plating (18K Gold) and stone types (Zirconia, Diamonds).
Capture stock availability across all ring and necklace sizes. Track which specific variants are in stock, low stock, or backordered.
Extract localized pricing for EUR, USD, GBP, and other supported currencies using regional proxies and session headers.
Extract clean, uncompressed image URLs for product galleries, model shots, and 360-degree views without watermarks.
Maintain the exact category hierarchy and collection associations (e.g., Essentials, Letters, Charms) for every SKU.
Extract customisation logic, including maximum character limits, available fonts, and associated engraving fees for custom pieces.
Paginate through customer reviews to capture star ratings, text bodies, verified purchase flags, and author locales.
Identify out-of-stock events, price adjustments, and new product launches across the catalogue with hash-based diffing.
Run full catalogue extractions daily or track specific high-velocity SKUs hourly. Data pushed directly to your warehouse.
Brief in. Clean data out.
Provide target categories, collections, or specific SKUs. We map the required fields and regional pricing needs.
We configure Scrapy / Playwright crawlers, proxy rotation for regional pricing, and JavaScript execution for dynamic sizing.
Schema validation, null-rate checks, and variant integrity testing before full production launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Modern storefronts like Pdpaola use dynamic frontends and regional pricing logic. Here is how we ensure reliable data extraction.
Ring sizes and stock states are often loaded asynchronously via JavaScript. We use Playwright to execute the page fully, ensuring every size option and its corresponding stock status is captured accurately.
Pdpaola serves different prices and currencies based on the user's IP. We route requests through residential proxies in target markets (e.g., US, UK, EU) to extract accurate, localised pricing.
A single design may exist in gold or silver, with multiple stone options and sizes. Our schema normalises this complexity, mapping all child variants back to their parent SKU for clean relational data.
Product images are lazy-loaded to save bandwidth. Our crawlers simulate scroll behaviour and intercept network requests to extract the highest resolution image URLs available.
Jewellery descriptions mix marketing copy with technical specs. We use pattern matching and NLP to extract structured fields like base metal, plating thickness, and stone type from unstructured text.
Demi-fine jewellery brands monitor Pdpaola's pricing strategy across regions to optimise their own margins and promotional calendars.
Merchandisers analyse collection launches, material shifts, and category depth to inform product development and inventory planning.
Retailers track multi-currency pricing and shipping tiers to understand Pdpaola's cross-border strategy and identify regional opportunities.
Computer vision teams use high-resolution product imagery mapped to structured material data to train jewellery recognition models.
Analysts track retail price adjustments against raw material indices (gold, silver) to estimate brand margin resilience.
Product teams mine review text to identify common issues with specific clasps, plating durability, or sizing discrepancies.
"Pdpaola's catalogue represents a masterclass in demi-fine jewellery merchandising, but tracking their multi-region pricing and size availability requires persistent extraction infrastructure."
Extracting jewellery data introduces specific complexities: tracking dynamic stock states across dozens of ring sizes, parsing material specifications from unstructured descriptions, and normalising multi-currency pricing. DataFlirt handles the extraction so your merchandising teams can focus on assortment strategy rather than maintaining web scrapers.
Everything supported by our pdpaola.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 for dynamic sizing.
We maintain pools of residential ISP proxies across target regions. Rotation happens per-request to ensure accurate multi-currency pricing extraction.
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 pdpaola.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and review data is generally permissible under applicable law. DataFlirt targets only public, non-authenticated catalogue data. We do not extract personal user data or circumvent authentication walls.
Yes. We use regional residential proxies to simulate requests from specific countries, allowing us to extract accurate localised pricing, taxes, and shipping tiers for EUR, USD, GBP, and others.
Our Playwright integration evaluates the JavaScript-rendered size selectors on the product page, capturing the explicit stock state (in stock, out of stock, low stock) for every individual size variant.
Yes. We bypass thumbnail and lazy-loading mechanisms to intercept and extract the highest resolution image URLs available on the Pdpaola CDN.
Full catalogue refreshes are typically run daily. For high-priority monitoring, we can configure hourly pipelines targeting specific categories or SKUs.
Yes. Our schema separates base materials (e.g., 925 Sterling Silver) from plating (e.g., 18K Gold) and stone types based on structured data and NLP parsing of the product descriptions.
Our smallest packages start at scheduled weekly deliveries of the full Pdpaola catalogue. Contact us with your specific frequency and region requirements for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous multi-region price monitoring — we scope, build, and operate the pipeline. Tell us what you need.
