Extract full product specifications, cocoa percentages, dietary markers, pricing, and stock levels from Hotel Chocolat. Delivered as clean JSON, CSV, or Parquet to S3 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 hotelchocolat.com. All fields typed and schema-versioned.
"sku": "112233", "title": "The Velvetiser - Copper Edition", "category": "Hot Chocolate", "price": 99.95, "currency": "GBP", "weight_grams": 1500, "dietary_flags": "['Vegetarian']"
| # | sku | title | url | category | sub_category | price |
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Complete list of extractable fields for Ingredients & Allergens objects from hotelchocolat.com. All fields typed and schema-versioned.
"sku": "445566", "ingredients_text": "Cocoa solids (cocoa butter, cocoa mass), sugar, full cream milk powder...", "allergens_contains": "['Milk', 'Soya']", "allergens_may_contain": "['Tree Nuts', 'Peanuts', 'Gluten']", "suitable_for_vegans": false, "suitable_for_vegetarians": true, "alcohol_free": true
| # | sku | ingredients_text | allergens_contains | allergens_may_contain | suitable_for_vegans | suitable_for_vegetarians |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Stock objects from hotelchocolat.com. All fields typed and schema-versioned.
"sku": "778899", "base_price": 4.5, "vip_me_price": 4.05, "multi_buy_offer": "3 for £12 Selectors", "in_stock": true, "stock_level": "High", "delivery_options": "['Standard', 'Next Day', 'Click & Collect']"
| # | sku | base_price | discount_price | vip_me_price | multi_buy_offer | in_stock |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Reviews & Ratings objects from hotelchocolat.com. All fields typed and schema-versioned.
"review_id": "REV-98234", "sku": "112233", "rating": 5, "title": "Best hot chocolate maker", "body": "Creates perfectly smooth hot chocolate every time.", "verified_buyer": true, "date": "2026-02-14"
| # | review_id | sku | rating | title | body | author |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Store Availability objects from hotelchocolat.com. All fields typed and schema-versioned.
"store_id": "LON-01", "store_name": "Covent Garden", "postcode": "WC2E 8HD", "sku": "778899", "in_stock": true, "click_and_collect_eligible": true, "opening_hours": "10:00 - 19:00"
| # | store_id | store_name | postcode | latitude | longitude | sku |
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Our Hotel Chocolat scraper processes product specifications, complex dietary matrices, subscription pricing, and dynamic stock levels, handling JavaScript rendering and anti-bot layers natively.
Extract titles, weights, descriptions, categories, and high-resolution image URLs across all product variants and selectors.
Parse unstructured ingredient text into structured arrays for allergens present and cross-contamination warnings.
Capture explicit dietary flags including vegan, vegetarian, alcohol-free, and precise cocoa percentage grades.
Extract standard retail prices, VIP.ME member discounts, and multi-buy promotional mechanics (e.g., Mix & Match Selectors).
Identify products explicitly tagged for Velvetiser use, including refill pouches, sachets, and machine bundles.
Query product availability against specific postcodes or store IDs to map geographic inventory distribution.
Deconstruct hamper contents to list individual included items, total weight, and specific gift-box packaging options.
Extract paginated customer reviews, including star ratings, verified purchase status, and text bodies.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide categories, search terms, or target data points. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for hotelchocolat.com.
Schema validation, null-rate checks, and sample data reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
eCommerce scraping requires handling dynamic DOM changes and regional pricing. Here is how we maintain pipeline stability.
Hotel Chocolat relies on client-side rendering for multi-buy pricing calculations and store stock checks. We run full browser sessions to hydrate these widgets and extract the final rendered values.
We utilise UK-based residential proxies to route requests, ensuring our crawlers appear as legitimate regional shoppers and avoid IP-based rate limiting.
Retail sites frequently overhaul their DOM for seasonal events like Easter or Christmas. Our extraction logic uses multiple fallback chains, including LD+JSON parsing, to maintain data flow during layout changes.
We maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, missing ingredient fields, and coverage drops, responding before data quality degrades.
FMCG brands track premium chocolate pricing, promotional frequency, and multi-buy mechanics to adjust their own retail strategies.
Food scientists and market researchers analyse cocoa percentages, sugar content, and the prevalence of specific allergens across the product range.
Retail analysts monitor the introduction of new seasonal lines and the balance between core products and limited editions.
Track the frequency and depth of VIP.ME member discounts and seasonal sales to understand promotional calendars.
Quantify the growth of vegan, alcohol-free, and low-sugar product lines within the premium confectionery segment.
Analyse stock availability across physical locations to infer supply chain efficiency and regional product popularity.
"Hotel Chocolat's catalogue contains complex matrices of allergens, cocoa grades, and dietary flags — data that requires precise, structured extraction to be useful for FMCG analysis."
Extracting accurate food specification data requires more than basic HTTP requests. Our infrastructure handles the dynamic JavaScript rendering required to expose full ingredient lists, multi-buy offers, and store-level stock availability, ensuring your warehouse receives clean, normalised records every run.
Everything supported by our hotelchocolat.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 retry logic. Playwright executes JavaScript to render dynamic pricing widgets and stock availability modules.
We maintain pools of UK residential proxies. Rotation happens per-request to prevent IP bans and ensure accurate regional pricing data.
Pipelines run on AWS ECS. Airflow handles scheduling and dependency management. All state is stored in managed PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About hotelchocolat.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, ingredient, and pricing information is generally permissible. DataFlirt targets only public, non-authenticated catalogue data. We do not extract personal user data or circumvent authentication walls. Clients should review target site terms and consult legal counsel.
VIP.ME promotional prices are often exposed in the DOM or available via public API endpoints used by the frontend, even if the user is not logged in. We extract these publicly visible promotional tiers.
Yes. We use text parsing rules to separate core ingredients from allergen warnings, delivering structured arrays for 'contains' and 'may contain' data points.
Stock data represents the state at the exact time of the crawl. For high-velocity items, we can configure hourly pipeline runs to track inventory depletion rates.
Yes. We identify products explicitly marketed for the Velvetiser system, categorising them separately from standard solid chocolate products.
Our packages typically start at a defined category scope with weekly delivery. Contact us with your specific data requirements for a scoped quote.
Yes. We provide a sample run of up to 100 SKUs as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily ingredient audit or continuous price monitoring across the catalogue — we scope, build, and operate the pipeline. Tell us what you need.
