We extract PC component listings, pricing signals, stock availability, and technical specifications from Overclockers UK. 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 Components & Hardware objects from overclockers.co.uk. All fields typed and schema-versioned.
"sku": "GX-48A-AS", "title": "ASUS GeForce RTX 4090 ROG Strix OC 24GB GDDR6X Graphics Card", "brand": "ASUS", "category": "PC Components", "sub_category": "Graphics Cards", "price_inc_vat": 1999.99, "stock_status": "In Stock", "stock_quantity": 14
| # | product_id | sku | title | brand | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from overclockers.co.uk. All fields typed and schema-versioned.
"sku": "GX-48A-AS", "price_inc_vat": 1999.99, "was_price": 2199.99, "discount_pct": 9.1, "stock_status": "Pre-Order", "eta_date": "2026-06-15", "is_clearance": false, "is_b_grade": false
| # | sku | price_inc_vat | price_ex_vat | was_price | discount_pct | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specifications objects from overclockers.co.uk. All fields typed and schema-versioned.
"sku": "GX-48A-AS", "form_factor": "ATX", "vram": "24GB GDDR6X", "core_clock": "2235 MHz", "boost_clock": "2640 MHz", "cooling_type": "Triple Fan", "tdp": "450W", "power_connectors": "1x 16-pin PCIe"
| # | sku | form_factor | socket_type | chipset | memory_type | core_clock |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from overclockers.co.uk. All fields typed and schema-versioned.
"review_id": "REV-99281", "sku": "GX-48A-AS", "star_rating": 5, "review_title": "Absolute monster of a card", "review_date": "2026-05-10", "verified_purchase": true, "pros": "Incredible 4K performance, quiet fans", "cons": "Massive size, expensive"
| # | review_id | sku | reviewer_name | star_rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Custom PC Configurator objects from overclockers.co.uk. All fields typed and schema-versioned.
"system_id": "SYS-FS-101", "base_model_name": "Infin8 Empress", "base_price": 3499.99, "component_category": "Primary Solid State Drive", "component_name": "WD Black SN850X 2TB NVMe", "component_sku": "HD-591-WD", "price_modifier": 120.0, "is_default": false
| # | system_id | base_model_name | base_price | component_category | component_name | component_sku |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our extraction pipeline handles the complexities of hardware retail: nested specification tables, dynamic stock hydration, B-Grade inventory monitoring, and Cloudflare circumvention.
Title, SKU, brand, category paths, images, and description fields scraped at the individual product level.
Capture exact stock quantities, pre-order ETAs, and out-of-stock statuses. Crucial for high-demand GPU and CPU drops.
Extract and normalise complex HTML specification tables into structured key-value pairs for easy querying.
Track current price (inc and ex VAT), historical pricing, discount percentages, and bundle deal identifiers.
Monitor returned, refurbished, and clearance inventory lines for price arbitrage and margin analysis.
Map all available component upgrades, price modifiers, and default loadouts from custom PC build pages.
Full review text, star ratings, pros, cons, and verified purchase flags paginated across all product reviews.
Run one-off bulk exports or configure continuous pipelines with change-detection diffing for stock and price updates.
Maintain the exact navigational hierarchy from root categories down to specific component sub-categories.
Brief in. Clean data out.
Provide category URLs, search terms, or SKU lists. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and Cloudflare bypass for overclockers.co.uk.
Schema validation, null-rate checks, price-outlier detection, and sample data review before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Hardware retailers deploy aggressive caching and bot protection. Here is how we stay resilient.
Overclockers UK uses Cloudflare to block automated traffic. Our crawlers use UK residential ISP proxies with realistic browser TLS fingerprints and automated challenge solving to maintain access without IP bans.
Stock levels and pricing are often hydrated via client-side JavaScript. We run full Playwright browser sessions to execute JavaScript, ensuring we capture the true stock status rather than cached HTML.
Component specifications are frequently displayed in inconsistent HTML tables. Our extraction logic normalises these fields into consistent JSON keys, mapping disparate formats into a clean schema.
For continuous monitoring, we maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs, reducing compute cost and downstream processing load for high-frequency stock checks.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops. SLA uptime is contractual.
Competing hardware retailers monitor pricing, bundle deals, and shipping costs to adjust their own pricing algorithms.
Aggregators and notification services track high-demand GPU and CPU inventory levels at minute-level frequency.
Analysts track component popularity, average selling prices, and category saturation trends to identify market shifts.
System builders monitor custom PC configurator pricing and default component loadouts to ensure competitive positioning.
Machine learning teams use normalised specification datasets to train recommendation engines and hardware compatibility models.
Distributors correlate retail stock depth indicators and pricing trends with upstream supply chain models.
"Overclockers UK holds the most granular component data and stock signals in the UK hardware market — but none of it is queryable unless you build the pipeline."
Most teams underestimate the investment required: reliable Overclockers scraping requires UK residential proxies, JavaScript rendering for stock hydration, Cloudflare bypass, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our overclockers.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 crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
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 overclockers.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, specification, and stock data is generally permissible for business intelligence purposes. DataFlirt extracts only public, non-authenticated data. Clients should review applicable terms of service and consult legal counsel for specific use cases.
We use UK residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and request timing modelled on human behaviour. Automated solvers handle CAPTCHA challenges when presented.
Yes. We configure high-frequency polling pipelines targeting specific SKUs or category pages to detect stock status changes with sub-minute latency, delivering alerts via Webhook.
Streaming pipelines achieve near real-time latency for targeted SKUs. Full catalogue refreshes typically run on a daily or twice-daily cadence depending on your requirements.
Yes. We parse the unstructured HTML specification tables on product pages and map them into a normalised, queryable JSON schema.
Our packages start at defined SKU lists or specific category tracking with daily delivery. Contact us with your specific volume and frequency requirements for a scoped quote.
Yes. We provide a sample run of up to 500 SKUs as part of the pre-engagement scoping process, allowing you to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off component catalogue dump or a continuous stock-monitoring feed — we scope, build, and operate the pipeline. Tell us what you need.
