We extract product catalogues, regional pricing, colour variants, size availability, and material specifications from Camper. 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 Footwear Catalogue objects from camper.com. All fields typed and schema-versioned.
"sku": "K100226-047", "name": "Pelotas Ariel", "collection": "Pelotas", "gender": "Men", "category": "Sneakers", "colour": "Brown", "description": "Iconic men's brown leather sneaker with 87 spheres on the outsole."
| # | sku | name | collection | gender | category | colour |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from camper.com. All fields typed and schema-versioned.
"sku": "K100226-047", "region": "UK", "currency": "GBP", "original_price": 165.0, "current_price": 165.0, "in_stock": true, "available_sizes": "['40', '41', '42', '43', '44']"
| # | sku | region | currency | original_price | current_price | discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Materials & Specs objects from camper.com. All fields typed and schema-versioned.
"sku": "K100226-047", "upper_material": "Calfskin", "lining_material": "72% Leather, 28% Recycled Polyester", "outsole_material": "Rubber", "insole_type": "Removable EVA", "certification": "Leather Working Group", "sustainability_rating": "A"
| # | sku | upper_material | lining_material | outsole_material | insole_type | certification |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Store Locations objects from camper.com. All fields typed and schema-versioned.
"store_id": "ST-104", "name": "Camper London Regent Street", "type": "Flagship", "city": "London", "country": "UK", "postal_code": "W1B 5SN", "latitude": 51.5126, "longitude": -0.1402
| # | store_id | name | type | address | city | country |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search & Categories objects from camper.com. All fields typed and schema-versioned.
"keyword": "mens boots", "position": 1, "sku": "K300236-001", "name": "Brutus", "current_price": 180.0, "is_new": true, "url": "https://www.camper.com/en_GB/men/shoes/brutus/camper-brutus-K300236-001"
| # | keyword | position | sku | name | current_price | badge |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Camper scraper extracts structured product data, size availability, and regional pricing across all collections. We manage the proxy rotation and session handling required to parse dynamic stock grids.
Extract SKUs, names, descriptions, collections, and categories for every footwear and accessory item.
Capture pricing and currency data across different regional sites to monitor global price parity.
Monitor exactly which sizes are in stock or sold out for every colour variant.
Link base models to all available colourways, ensuring complete catalogue coverage.
Extract upper materials, lining compositions, and sustainability certifications.
Map physical retail locations, store types, and opening hours globally.
Monitor original prices versus current prices to calculate discount percentages during sale periods.
Collect high-resolution image URLs for every product angle and colour variant.
Configure continuous pipelines at daily or weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide target regions, categories, or specific collections. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for camper.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 Snowflake stage on agreed cadence.
Extracting global retail data requires precise geo-targeting and session management to ensure accurate regional pricing and stock.
Camper routes traffic based on IP geography. We use region-specific residential proxies to ensure we extract the correct localised pricing and stock availability.
Size availability is rendered client-side. We execute Playwright sessions to parse the exact stock state for every size option on a product page.
Footwear requires mapping base models to specific colour and size SKUs. Our schema normalises these relationships into a flat, queryable format.
Retail sites update layouts seasonally. We maintain multiple fallback chains for CSS and XPath selectors to prevent pipeline failure during site updates.
We monitor null rates on critical fields like price and size availability. If a site update obfuscates a field, our alerting stack catches it immediately.
Retailers and competing brands monitor pricing and discount strategies across global regions.
Analysts track size-level stock depletion to estimate sales velocity and demand patterns.
Sustainability teams analyse material compositions and certifications across the catalogue.
Real estate and retail analysts track store openings, closures, and physical distribution.
Designers monitor colour availability and collection structures to identify market trends.
Brands track pricing parity across direct-to-consumer and third-party retail channels.
"Camper's catalogue provides deep signals on footwear pricing, material trends, and global retail availability, but requires precise geo-routing to extract accurately."
Extracting footwear data requires navigating regional redirects, dynamic size availability grids, and complex material specifications. DataFlirt manages the proxy rotation and JavaScript execution so your team receives structured catalogue data without operating the infrastructure.
Everything supported by our camper.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 and interaction flows for dynamic stock grids.
We maintain pools of residential ISP proxies to bypass geo-blocking and ensure accurate regional data extraction.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. State is stored in PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About camper.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product and pricing information is generally permissible. DataFlirt extracts only public catalogue data and does not bypass authentication walls or extract personal user data.
We route requests through region-specific residential proxies. This prevents Camper from redirecting the crawler and ensures we capture the exact currency and price for the target market.
Yes. We parse the dynamic size grids to determine exactly which sizes are in stock, low in stock, or sold out for every colour variant.
Pipelines can be configured for daily or weekly runs depending on your requirements. Full catalogue refreshes typically complete within a few hours.
Yes. We can extract the complete list of global store locations, including addresses, coordinates, store types, and opening hours.
We scope engagements based on the number of regions targeted and the frequency of extraction. Contact us with your specific requirements for a precise quote.
Yes. We provide a sample run of up to 100 products to validate the schema, regional pricing accuracy, and data quality before you commit to a pipeline.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue export or a continuous regional price monitoring feed, we build and operate the infrastructure. Tell us your requirements.
