We extract product specifications, pricing, stock levels, and Care & Repair data from Currys. 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 Product Listings objects from currys.co.uk. All fields typed and schema-versioned.
"sku": "10245678", "title": "LG OLED55C34LA 55 Smart 4K Ultra HD HDR OLED TV", "brand": "LG", "price": 1299.0, "currency": "GBP", "energy_rating": "G", "rating": 4.8, "review_count": 342
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Offers objects from currys.co.uk. All fields typed and schema-versioned.
"sku": "10245678", "current_price": 1299.0, "previous_price": 1499.0, "save_amount": 200.0, "price_promise": true, "finance_available": true, "finance_monthly": 54.12, "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | current_price | previous_price | save_amount | price_promise | promotions |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Stock & Delivery objects from currys.co.uk. All fields typed and schema-versioned.
"sku": "10245678", "postcode": "SW1A 1AA", "home_delivery_available": true, "home_delivery_cost": 0.0, "home_delivery_date": "2026-05-14", "click_collect_available": true, "click_collect_store": "London Oxford Street", "stock_status": "In Stock"
| # | sku | postcode | home_delivery_available | home_delivery_cost | home_delivery_date | click_collect_available |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Specifications objects from currys.co.uk. All fields typed and schema-versioned.
"sku": "10245678", "screen_size": "55 inches", "screen_technology": "OLED", "resolution": "4K Ultra HD 3840 x 2160p", "refresh_rate": "120 Hz", "smart_platform": "webOS", "hdmi_ports": 4, "warranty_years": 5
| # | sku | screen_size | screen_technology | resolution | refresh_rate | processor |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Care & Repair objects from currys.co.uk. All fields typed and schema-versioned.
"sku": "10245678", "plan_type": "Care & Repair", "plan_name": "5 Year TV Care & Repair", "monthly_cost": 8.5, "annual_cost": "None", "term_months": 60, "excess_fee": 0.0, "features": "['Unlimited repairs', 'New for old replacement']"
| # | sku | plan_type | plan_name | monthly_cost | annual_cost | term_months |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Currys scraper handles the complex layers of the platform: postcode-based stock checks, dynamic pricing, detailed TechSpecs, and Care & Repair data, with anti-bot circumvention built in.
Title, description, images, category breadcrumbs, and every metadata field Currys surfaces, extracted at the SKU level.
Capture current price, previous price, save amounts, Price Promise flags, and promotional banners, timestamped per crawl.
Simulate user sessions with specific UK postcodes to extract accurate home delivery dates and Click & Collect availability.
Parse complex specification tables into structured key-value pairs, normalising dimensions, weights, and technical metrics.
Extract UK/EU energy efficiency classes, product fiches, and repairability indices directly from the product pages.
Scrape insurance and extended warranty pricing, including monthly costs, term lengths, and feature inclusions.
Extract customer reviews, star ratings, and helpful votes to monitor product sentiment and brand performance.
Capture estimated trade-in pricing for specific models and conditions where available on the platform.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Brief in. Clean data out.
Provide SKU lists, category URLs, or keyword sets. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, UK proxy rotation, session management, and bot bypass for currys.co.uk.
Schema validation, null-rate checks, price-outlier detection, and postcode stock verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
UK retailers invest heavily in scraping detection. Here is how we stay resilient and why teams choose managed infrastructure over DIY.
Retailers use advanced bot protection like Akamai. Our crawlers use UK residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management, trained on real user behaviour patterns.
Currys stock availability depends heavily on the user location. We inject specific UK postcodes into the browser session state to accurately extract home delivery dates and local store Click & Collect inventory.
Currys product pages load pricing, promotions, and TechSpecs dynamically. We run full Playwright browser sessions with JavaScript execution and lazy-load triggering, capturing data that headless HTTP clients miss entirely.
For large electronics catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost, storage bloat, and downstream processing load. You get a clean changelog rather than full re-dumps.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops, and respond before you notice. SLA uptime is contractual, not aspirational.
Retailers and brands monitor Currys pricing, discounts, and Price Promise flags to optimise their own pricing strategies.
Supply chain teams and competitors track stock availability across different UK postcodes to identify supply shortages.
Analysts track product life cycles, new model introductions, and category saturation trends in the UK electronics market.
Retailers analyse Currys Care & Repair pricing, delivery costs, and finance options to benchmark their own service offerings.
ML teams use structured TechSpecs and product descriptions to train recommendation engines and NLP classifiers.
Consumer electronics brands audit Currys listings to ensure accurate representation of technical specifications and energy ratings.
"Currys holds the definitive catalogue of consumer electronics in the UK market, but accessing granular stock and specification data requires continuous infrastructure."
Most teams underestimate the investment required: reliable Currys scraping requires residential UK proxies, full JavaScript rendering for postcode stock checks, and continuous selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our currys.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 currys.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Currys is generally permissible under UK law. DataFlirt targets only public, non-authenticated product, pricing, and stock data. We do not extract personal data, circumvent authentication walls, or violate GDPR. Clients should review Currys ToS and consult legal counsel for specific use cases.
We use UK residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for rate spikes in real time and trigger pool rotation automatically to bypass Akamai and Cloudflare protections.
Yes. We can inject specific UK postcodes into the session state to extract accurate home delivery dates and local store Click & Collect inventory for any given SKU.
Real-time streaming pipelines achieve sub-60-minute latency for price and stock signals on a defined SKU set. Full catalogue refreshes at daily cadence complete within a 4-8 hour window depending on size.
Our smallest packages start at a defined SKU list or category set with weekly delivery. For full catalogue extraction or custom schema requirements, we price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
Absolutely. We provide a sample run of up to 500 SKUs or specific categories as part of the pre-engagement scoping process, so you can validate schema fit, field completeness, and data quality before signing any contract.
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 across the entire site, we scope, build, and operate the pipeline. Tell us what you need.
