SYSTEM all green source aspinaloflondon.com queue 3,142 pages p99 latency 184ms dataflirt.com · scraper/aspinaloflondon-com
RUN - 14 active pipelines - aspinaloflondon.com live

Aspinal product data,
at warehouse scale.

We extract product listings, pricing signals, multi-currency variants, stock availability, and personalisation configurations from Aspinal of London. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.

Products extracted
4,182 /run
Price updates
12,491 /24h
Stock signals
8,204 /run
Active pipelines
14
Uptime
99.98%
Data Dictionary

Every field we extract from aspinaloflondon.com

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 aspinaloflondon.com. All fields typed and schema-versioned.

skutitlecategorysub_categorycollectionmaterialcolourhardware_finishdescriptiondimensionsurlscraped_at
product_listings
● 200 OK
"sku": "042-2841",
"title": "Midi Mayfair Bag",
"category": "Handbags",
"sub_category": "Top Handle Bags",
"material": "Deep Shine Croc",
"colour": "Black",
"hardware_finish": "Gold",
"scraped_at": "2026-05-12T09:14:00Z"
# skutitlecategorysub_categorycollectionmaterial
1
2
3

Complete list of extractable fields for Pricing & Currency objects from aspinaloflondon.com. All fields typed and schema-versioned.

skuregioncurrencypricelist_pricediscount_pctis_saletax_includedshipping_tierprice_timestamp
pricing_& currency
● 200 OK
"sku": "042-2841",
"region": "UK",
"currency": "GBP",
"price": 650.0,
"list_price": 650.0,
"discount_pct": 0,
"is_sale": false,
"tax_included": true
# skuregioncurrencypricelist_pricediscount_pct
1
2
3

Complete list of extractable fields for Personalisation objects from aspinaloflondon.com. All fields typed and schema-versioned.

skuembossing_availableengraving_availablemax_charactersfoil_coloursfont_optionspersonalisation_costplacement_options
personalisation
● 200 OK
"sku": "042-2841",
"embossing_available": true,
"engraving_available": false,
"max_characters": 4,
"foil_colours": "['Gold', 'Silver', 'Blind']",
"font_options": "['Standard', 'Cursive']",
"personalisation_cost": 30.0
# skuembossing_availableengraving_availablemax_charactersfoil_coloursfont_options
1
2
3

Complete list of extractable fields for Inventory & Stock objects from aspinaloflondon.com. All fields typed and schema-versioned.

skuin_stockstock_levellow_stock_warningbackorder_availableestimated_dispatchstore_availabilityscraped_at
inventory_& stock
● 200 OK
"sku": "042-2841",
"in_stock": true,
"stock_level": 14,
"low_stock_warning": false,
"backorder_available": false,
"estimated_dispatch": "1-2 working days",
"scraped_at": "2026-05-12T09:14:00Z"
# skuin_stockstock_levellow_stock_warningbackorder_availableestimated_dispatch
1
2
3

Complete list of extractable fields for Media & Specs objects from aspinaloflondon.com. All fields typed and schema-versioned.

skumain_image_urlgallery_urlsvideo_urlheight_cmwidth_cmdepth_cmhandle_drop_cmstrap_length_cmweight_kg
media_& specs
● 200 OK
"sku": "042-2841",
"main_image_url": "https://www.aspinaloflondon.com/images/midi-mayfair-main.jpg",
"height_cm": 15.7,
"width_cm": 20.3,
"depth_cm": 8.9,
"handle_drop_cm": 7.6,
"weight_kg": 0.54
# skumain_image_urlgallery_urlsvideo_urlheight_cmwidth_cm
1
2
3

Capabilities

Luxury retail data - extracted with precision

Our Aspinal of London scraper handles multi-region pricing, dynamic stock states, and complex personalisation logic. Built for market analysts and pricing strategists.

Full Catalogue Extraction

Title, description, materials, colours, and category hierarchies scraped across all collections.

Multi-Currency Pricing

Capture GBP, USD, EUR, and AUD pricing variants by managing region-specific session cookies.

Stock & Availability

Track in-stock status, low stock warnings, and estimated dispatch times per SKU.

Personalisation Rules

Extract embossing availability, character limits, foil colours, and associated costs for gift items.

Dimension Parsing

Normalised extraction of height, width, depth, and strap lengths into structured numeric fields.

High-Res Media

Capture main product images, gallery arrays, and video assets at maximum resolution.

Sale & Discount Tracking

Monitor seasonal sales, archive discounts, and promotional pricing across the catalogue.

Geo-Targeted Crawling

Route requests through UK, US, or EU proxies to ensure accurate local pricing and tax inclusion.

Change Detection

Receive only updated records. Our diffing engine isolates price changes and stock drops.

// engagement pipeline

From luxury catalogue to warehouse record

Brief in. Clean data out.

Define Scope
d 0

Provide target categories or regional requirements. We design the extraction schema together.

Pipeline Build
d 2–4

We configure Scrapy crawlers, session management, and region-specific proxy routing.

Validation & QA
d 4–6

Schema validation, null-rate checks, and currency normalisation validation before launch.

Delivery
ongoing

JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.

Under the hood

How we handle luxury retail extraction

eCommerce architectures require session persistence and dynamic state handling. Here is how we build resilient pipelines.

pipeline-monitor · aspinaloflondon.com · live ● active
// fingerprinting
Identity rotation
TLS fingerprintrandomised
User-agentrotated
IP poolresidential
Challenges blocked0
// pagination
Page coverage
48,291 pages queued running
// observability
Pipeline health
99.9%
uptime
142ms
p99 lat
0.3%
null rate
2
alerts
Session handling
Region and currency cookies

Aspinal uses cookies to lock users into specific regional pricing and tax contexts. Our crawlers manage isolated cookie jars per region, ensuring GBP, USD, and EUR prices are extracted accurately without cross-contamination.

Dynamic state
JavaScript hydration for stock

Stock levels and personalisation options often load asynchronously. We use Playwright to execute JavaScript and wait for the DOM to fully hydrate before extracting inventory data.

Data normalisation
Cleaning dimensions and materials

Product descriptions contain unstructured dimension strings. Our pipeline uses regex pattern matching to extract height, width, and depth into clean, queryable numeric fields.

Media extraction
High-resolution image targeting

We bypass thumbnail images and target the source CDNs for maximum resolution assets, essential for visual AI training and high-fidelity catalogue mirroring.

Change tracking
Diff-based delivery

For daily monitoring, we hash product states. You receive payloads containing only SKUs where prices, stock, or sale status have changed since the previous run.

Applications

Who uses Aspinal of London data

Teams across industries use aspinaloflondon.com data to build competitive products and smarter operations.

01
Competitor Pricing Strategy

Luxury retailers monitor Aspinal's pricing tiers and seasonal sale cadences to position their own leather goods.

02
Market Trend Analysis

Analysts track colour variations, material usage, and new collection launches to forecast luxury accessory trends.

03
Visual AI Training

Machine learning teams use high-resolution handbag and wallet imagery to train product recognition and styling models.

04
MAP & Brand Monitoring

Track official retail prices to benchmark against third-party luxury distributors and department stores.

05
Inventory Forecasting

Correlate stock availability states with seasonal events to model demand for premium gift items.

06
Personalisation Research

Study embossing rules, character limits, and pricing models to inform competing personalisation services.

Why DataFlirt

"Aspinal of London's digital catalogue represents a premium baseline for British luxury leather goods - tracking its pricing and stock yields high-signal market intelligence."

Extracting luxury retail data requires precision. We handle currency-specific session cookies, dynamic inventory states, and complex personalisation logic. DataFlirt manages the extraction infrastructure so your analysts can focus on pricing strategy and market positioning.

Technical Spec

Aspinal of London scraper - technical capabilities

Everything supported by our aspinaloflondon.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.

JavaScript rendering
Playwright sessions required for dynamic stock and personalisation modules
Supported
Multi-region pricing
Cookie management for GBP, USD, EUR, and AUD contexts
Supported
High-res media extraction
Targeting CDN source URLs for uncompressed product imagery
Supported
Proxy rotation
UK and US residential IPs to bypass basic rate limiting
Supported
Dimension normalisation
Regex parsing of text descriptions into numeric fields
Supported
Personalisation rules
Extraction of embossing limits, fonts, and foil colours
Supported
Change detection
Hash-based diffing for daily stock and price monitoring
Supported
Customer order history
Requires authenticated user sessions and violates privacy policies
Partial
VIP loyalty points
Gated behind individual user accounts and authentication walls
Partial
Infrastructure

Infrastructure powering the pipeline

Open-source tooling on proven cloud infra — no vendor lock-in, full observability.

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheus
Scrapy + Playwright Stack

Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript execution and strict cookie management for regional pricing.

Residential Proxy Infrastructure

We maintain pools of residential IPs across the UK and US. Rotation happens with sticky sessions to maintain currency contexts.

Cloud-Native Orchestration

Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.

Output & Delivery

Your data, your destination

Data delivered to where your team already works — no new tooling required.

JSON
Newline-delimited or nested arrays per run
CSV
Flat file with typed columns for analysts
XLS
Direct Excel export for merchandising teams
Parquet
Columnar format for BigQuery and Snowflake
AWS S3
Direct bucket delivery for data lakes
Webhook
HTTP POST per record for real-time alerts
API
REST endpoints to query latest product states
BigQuery
Streamed directly into your dataset
Snowflake
Stage and COPY INTO workflow
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About aspinaloflondon.com scraping, legality, and pipeline operations.

Ask us directly →
Can you extract pricing in multiple currencies?

Yes. We manage session cookies and route requests through region-specific proxies to extract accurate GBP, USD, EUR, and AUD pricing directly from the storefront.

How frequently can you update stock levels?

We support daily or intra-day cadences. For high-velocity monitoring during sales events, we can configure hourly pipelines targeting specific high-value SKUs.

Do you extract personalisation options?

Yes. We capture embossing availability, maximum character limits, available fonts, foil colours, and the associated costs for all applicable products.

How do you handle unstructured product dimensions?

Our pipelines include post-processing steps that use regex to identify and extract height, width, depth, and strap drop measurements, converting them into structured numeric fields.

Are high-resolution images included?

Yes. We extract the source CDN URLs for main images and gallery arrays, bypassing compressed thumbnails to provide assets suitable for visual AI training.

Can you track out-of-stock items?

Yes. We capture the exact stock state, including out-of-stock flags, low stock warnings, and estimated dispatch dates for backordered items.

$ dataflirt scope --new-project --source=aspinaloflondon.com ready

Tell us what
to extract.
We do the rest.

20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous price monitoring across regions. We scope, build, and operate the pipeline. Tell us what you need.

hello@dataflirt.com · Bengaluru · IST · typical reply < 4h
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