We extract diamond specifications, ring settings, gemstone inventory, and bespoke gallery metadata from Taylor & Hart. Delivered as clean JSON, CSV, or Parquet to your infrastructure.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Diamond Inventory objects from taylorandhart.com. All fields typed and schema-versioned.
"sku": "TH-D-84921", "shape": "Oval", "carat": 1.2, "colour": "F", "clarity": "VS1", "cut": "Excellent", "price": 4250.0, "currency": "GBP"
| # | sku | shape | carat | colour | clarity | cut |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Ring Settings objects from taylorandhart.com. All fields typed and schema-versioned.
"setting_id": "RS-1042", "name": "The Classic Solitaire", "style": "Solitaire", "metal_options": "['18ct Yellow Gold', '18ct White Gold', 'Platinum']", "default_price": 850.0, "currency": "GBP", "lead_time_weeks": 4, "diamond_shape_compatibility": "['Round', 'Oval', 'Cushion']"
| # | setting_id | name | style | metal_options | default_price | currency |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Gemstones objects from taylorandhart.com. All fields typed and schema-versioned.
"sku": "TH-G-4412", "type": "Sapphire", "shape": "Cushion", "carat": 2.1, "hue": "Blue", "price": 3100.0, "currency": "GBP", "treatment": "Heated"
| # | sku | type | shape | carat | hue | tone |
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Complete list of extractable fields for Bespoke Gallery objects from taylorandhart.com. All fields typed and schema-versioned.
"design_id": "BG-9921", "title": "Art Deco Inspired Emerald Ring", "metal": "Platinum", "center_stone_type": "Emerald", "budget_range": "£5,000 - £7,500", "inspiration_tags": "['Vintage', 'Halo', 'Milgrain']", "published_date": "2023-11-14", "image_urls": "['https://taylorandhart.com/images/bg-9921-1.jpg']"
| # | design_id | title | description | metal | center_stone_type | budget_range |
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Complete list of extractable fields for Reviews objects from taylorandhart.com. All fields typed and schema-versioned.
"review_id": "REV-88412", "author": "James W.", "rating": 5, "date": "2023-10-22", "title": "Exceptional bespoke service", "body": "The design process was incredibly detailed. The final ring exceeded expectations.", "product_referenced": "Bespoke Service", "verified_purchase": true
| # | review_id | author | rating | date | title | body |
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Our pipeline handles the complexities of fine jewellery e-commerce: dynamic diamond inventory grids, complex setting configurations, and real-time pricing tied to global metal markets.
Bypass the frontend DOM entirely. We intercept the backend XHR requests to extract the full 200K+ diamond inventory in minutes, capturing all 4C specifications.
Extract all ring settings and map their compatibility with different diamond shapes, alongside metal-specific pricing adjustments.
Capture high-resolution gallery images, 360-degree video URLs, and 3D render assets associated with both settings and specific diamonds.
Track price fluctuations for diamonds and settings. Jewellery prices adjust dynamically based on market rates; we capture these changes daily.
Extract GIA, IGI, and HRD certificate numbers and direct PDF URLs for the entire diamond inventory for verification workflows.
Extract past custom designs, including budget ranges, design narratives, and inspiration tags to build design intelligence datasets.
Extract pricing in GBP, USD, EUR, and other supported currencies by managing location-specific session cookies.
Extract specifications for sapphires, rubies, and emeralds, including hue, tone, saturation, and treatment disclosures.
Maintain a hash index of the inventory. Subsequent runs only push new stones, sold stones, or price changes to reduce downstream processing.
Brief in. Clean data out.
Select target categories: diamond inventory, settings, bespoke gallery, or reviews. We map the required fields.
We configure API interceptors, Playwright crawlers for dynamic grids, and proxy rotation to handle rate limits.
Data is validated against schema constraints. Null-rate checks on critical fields like price and carat weight.
JSON, CSV, or Parquet delivered to your S3 bucket or Snowflake instance on your required cadence.
Jewellery sites rely on large, frequently updated external inventory APIs and complex product configurations. We build pipelines that handle this structure natively.
Diamond search grids load data dynamically via backend APIs. Scraping the DOM is slow and brittle. We reverse-engineer the API calls, allowing us to extract the entire inventory database directly and rapidly.
A single ring setting has dozens of permutations based on metal choice and diamond shape compatibility. Our schema normalises these variations into a flat, queryable structure.
Diamond and metal prices fluctuate with global markets. Our change-detection system logs every price movement per SKU, providing a clean time-series dataset of pricing history.
Jewellery relies heavily on visual data. We extract the raw CDN URLs for high-resolution images, 360-degree videos, and grading certificates without downloading the heavy payloads, keeping the pipeline fast.
Extracting 200K+ records requires careful request pacing. We distribute the load across UK-based residential proxies to avoid triggering Web Application Firewalls (WAF) or rate limits.
Jewellery retailers track competitor pricing for specific diamond parameters (e.g., 1ct, G, VS1, Excellent cut) to adjust their own margins.
Wholesalers monitor the availability of specific diamond shapes and sizes across retail platforms to anticipate supply shortages.
Market analysts track the volume of specific setting styles and metal choices in bespoke galleries to forecast consumer design trends.
Machine learning teams use structured descriptions, tags, and high-resolution images from bespoke galleries to train generative jewellery design models.
Analysts calculate the premium charged on specific settings versus the raw metal cost to understand retail margin structures.
Buyers use historical pricing data for coloured gemstones (sapphires, emeralds) to optimise their purchasing timing.
"Taylor & Hart's digital inventory represents a highly structured, dynamic dataset of global diamond availability and custom setting costs."
Scraping fine jewellery platforms requires intercepting backend API calls for diamond grids, mapping complex setting-to-stone compatibility matrices, and handling daily price fluctuations tied to global metal and diamond markets. We manage this infrastructure entirely.
Everything supported by our taylorandhart.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 API orchestration and retry logic. Playwright is deployed for complex token generation or JS-heavy gallery interactions.
UK and US residential proxies ensure requests mimic legitimate buyer traffic, bypassing WAF rate limits during full catalogue sweeps.
Airflow schedules daily inventory diffs. AWS Lambda handles burst extraction of the diamond API, writing directly to managed Postgres.
Data delivered to where your team already works — no new tooling required.
About taylorandhart.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public product data, pricing, and specifications is generally permissible. DataFlirt extracts only publicly visible inventory and gallery data. We do not bypass authentication to access user wishlists or private consultation notes.
Rather than clicking through thousands of pagination pages, we intercept the backend XHR requests that power the search grid. This allows us to extract hundreds of thousands of diamond records efficiently and accurately.
Yes. We maintain a hash of the inventory. If a diamond's price changes due to market fluctuations, we log the delta. We provide a time-series dataset of these price movements.
We extract and deliver the direct CDN URLs for images, 360-videos, and PDF certificates. Downloading and hosting the actual files requires custom S3 bucket configuration, which we can provide upon request.
For diamond inventory and pricing, we typically run daily pipelines. Hourly tracking can be configured for specific high-value SKUs or competitor benchmarking subsets.
We provide managed infrastructure. Engagements typically start with a defined scope (e.g., daily extraction of the complete diamond inventory and setting catalogue) on a monthly contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Need daily diamond inventory updates or a complete export of setting variations? We scope, build, and operate the pipeline. Contact us to define your schema.
