We extract outdoor gear listings, Member's Card pricing, stock availability, and technical specifications from Go Outdoors. Delivered as clean JSON or Parquet.
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 go-outdoors.co.uk. All fields typed and schema-versioned.
"sku": "1598234", "title": "Berghaus Men's Hillwalker Waterproof Jacket", "brand": "Berghaus", "category": "Mens Clothing", "retail_price": 160.0, "member_price": 110.0, "discount_pct": 31, "in_stock": true, "rating": 4.6, "review_count": 142, "url": "https://www.go-outdoors.co.uk/1598234/berghaus-mens-hillwalker-jacket"
| # | sku | title | brand | category | sub_category | retail_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from go-outdoors.co.uk. All fields typed and schema-versioned.
"sku": "1598234", "member_price": 110.0, "retail_price": 160.0, "price_match_eligible": true, "delivery_available": true, "click_collect_available": true, "stock_status": "In Stock", "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | member_price | retail_price | price_match_eligible | delivery_available | click_collect_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Specifications objects from go-outdoors.co.uk. All fields typed and schema-versioned.
"sku": "1598234", "weight": "614g", "material": "GORE-TEX", "waterproof_rating": "28000mm", "colour": "Black", "size_options": "['S', 'M', 'L', 'XL', 'XXL']", "gender": "Mens", "activity_type": "Walking"
| # | sku | weight | material | waterproof_rating | breathability | colour |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from go-outdoors.co.uk. All fields typed and schema-versioned.
"review_id": "REV-982374", "sku": "1598234", "reviewer_name": "John D.", "rating": 5, "title": "Excellent waterproof jacket", "body": "Kept me completely dry during a downpour in the Lakes.", "date": "2026-04-18", "verified_buyer": true
| # | review_id | sku | reviewer_name | rating | title | body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Categories & Brands objects from go-outdoors.co.uk. All fields typed and schema-versioned.
"brand_name": "Berghaus", "category_path": "Mens Clothing > Waterproof Jackets", "total_products": 45, "average_price": 135.5, "url": "https://www.go-outdoors.co.uk/brands/berghaus", "scraped_at": "2026-05-12T09:14:33Z"
| # | brand_name | category_path | sub_category | total_products | top_seller_sku | average_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper handles every layer of the platform: variant listings, dynamic Member's Card pricing, technical specifications, and store-specific stock - with JavaScript rendering and UK residential proxies built in.
Extract both the standard retail price and the Go Outdoors Member's Card price for every product.
Monitor home delivery and Click & Collect availability down to specific UK store locations.
Parse unstructured technical details into structured fields: hydrostatic head, weight, and materials.
Map the full category tree from tents and sleeping bags to cycling and equestrian gear.
Extract star ratings, review text, and verified purchaser tags across all product variants.
Link colour and size variations back to parent products with accurate stock per variant.
Track brand presence, new product lines, and pricing strategies for Berghaus, Rab, and OEX.
Capture clearance flags, Duke of Edinburgh recommended tags, and multi-buy offers.
Run weekly catalogue sweeps or daily pricing updates pushed directly to your warehouse.
Brief in. Clean data out.
Provide category URLs, brand lists, or search terms. We design the extraction schema together.
We configure Scrapy crawlers, UK proxy rotation, and session management for go-outdoors.co.uk.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
E-commerce sites deploy aggressive bot protection. Here is how we stay resilient - and why teams choose managed infrastructure over DIY.
Go Outdoors uses bot protection that flags non-UK data centre IPs. We route requests through UK-based residential proxies to mimic legitimate domestic traffic.
Member prices and stock levels often load dynamically. We use Playwright to execute JavaScript and capture the true DOM state.
E-commerce layouts change during sales events. We use fallback chains for pricing and specs to prevent pipeline failure.
Outdoor clothing and footwear have complex variant grids. We map every SKU combination to its specific price and stock state.
For large catalogues, we maintain a hash index and only push records that have changed since the last run, reducing compute costs.
Retailers track Go Outdoors Member pricing to adjust their own promotional strategies.
Outdoor equipment brands audit their product listings for MAP compliance and correct specification display.
Analysts track category expansion in camping, cycling, and fishing to identify consumer trends.
Supply chain teams monitor stock depth signals on seasonal gear to inform procurement decisions.
Merchandisers analyse the brand mix and price architecture of Go Outdoors categories.
Machine learning teams use technical specifications and outdoor gear descriptions to train retail classification models.
"Go Outdoors holds the definitive catalogue of UK outdoor retail data, but extracting accurate Member pricing requires a purpose-built pipeline."
Most teams underestimate the complexity of scraping modern e-commerce sites. Capturing accurate variant-level stock, dynamic Member's Card pricing, and store-specific availability requires full JavaScript execution and UK residential proxies. DataFlirt handles the infrastructure so you can focus on retail analytics.
Everything supported by our go-outdoors.co.uk 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 orchestration and retry logic. Playwright handles JavaScript execution for dynamic stock rendering.
We maintain pools of UK residential proxies to ensure reliable access and bypass geographic blocking.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management.
Data delivered to where your team already works — no new tooling required.
About go-outdoors.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and product data is generally permissible. We do not extract personal data or bypass authentication walls.
Yes, our pipelines are configured to capture both the standard retail price and the Member's Card price for every SKU.
Yes, we can query specific UK postcodes or store locations to determine local stock availability for products.
We map every size and colour combination. If a specific size has a different price or stock status, it is recorded as a distinct row.
Pipelines can be configured for daily or weekly sweeps depending on your requirements. Delta exports ensure you only process changes.
Yes, we parse the unstructured specification tables into structured JSON fields like hydrostatic head, weight, and material.
We begin building a time-series dataset from the day your pipeline is commissioned, allowing you to track price changes over time.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off product catalogue dump or a continuous price-monitoring feed - we scope, build, and operate the pipeline. Tell us what you need.
