We extract product listings, nutritional macros, ingredient lists, bundle pricing, and reviews from Musclefood. 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 Data objects from musclefood.com. All fields typed and schema-versioned.
"sku": "MF10294", "title": "Premium Chicken Breast Fillets", "category": "Meat", "sub_category": "Chicken", "price": 24.99, "currency": "GBP", "weight_grams": 5000, "price_per_kg": 5.0, "in_stock": true
| # | sku | title | category | sub_category | price | currency |
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Complete list of extractable fields for Nutritional Macros objects from musclefood.com. All fields typed and schema-versioned.
"sku": "MF10294", "serving_size_grams": 100, "energy_kcal": 106, "protein_g": 23.9, "carbs_g": 0.0, "sugars_g": 0.0, "fat_g": 1.1, "saturates_g": 0.3, "salt_g": 0.15
| # | sku | serving_size_grams | energy_kcal | energy_kj | protein_g | carbs_g |
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Complete list of extractable fields for Ingredients & Allergens objects from musclefood.com. All fields typed and schema-versioned.
"sku": "MF48211", "ingredients_list": "Beef (85%), Water, Pea Rusk, Salt, Black Pepper.", "allergens_contains": "['None']", "allergens_may_contain": "['Gluten', 'Soya']", "suitable_for_vegans": false, "suitable_for_vegetarians": false, "gluten_free": true, "dairy_free": true
| # | sku | ingredients_list | allergens_contains | allergens_may_contain | suitable_for_vegans | suitable_for_vegetarians |
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Complete list of extractable fields for Bundles & Offers objects from musclefood.com. All fields typed and schema-versioned.
"bundle_id": "BNDL-882", "title": "Essential Meat Hamper", "items_included": 14, "total_value": 75.5, "discount_price": 45.0, "savings_pct": 40, "currency": "GBP", "subscription_eligible": true
| # | bundle_id | title | items_included | total_value | discount_price | savings_pct |
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Complete list of extractable fields for Reviews objects from musclefood.com. All fields typed and schema-versioned.
"review_id": "REV-991204", "sku": "MF10294", "rating": 5, "author": "James T.", "date_posted": "2023-10-14", "verified_buyer": true, "review_text": "Huge chicken breasts, minimal shrinkage when cooking.", "helpful_votes": 12
| # | review_id | sku | rating | author | date_posted | verified_buyer |
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Our Musclefood scraper captures deep product metadata: exact macro breakdowns, complex bundle structures, and dynamic pricing across all meat, snack, and meal plan categories.
Energy, protein, fat, and carbs parsed directly from nutritional tables, normalised per 100g and per serving.
Deconstruct multi-item hampers into individual SKUs to calculate true unit costs and margin structures.
Extract raw ingredient strings and structured allergen warnings to build comprehensive dietary databases.
Capture base price, multi-buy discounts, flash sales, and Goal Getters subscription pricing.
Extract meal plan structures, weekly pricing tiers, and rotating menu options for subscription analysis.
Scrape verified buyer reviews, star ratings, and textual feedback across the entire product catalogue.
Monitor out-of-stock flags and capture delivery slot availability across different UK postcodes.
Extract exact grammage and calculate accurate price per KG for all bulk meat and poultry products.
Run one-off bulk exports or configure continuous pipelines at daily cadences with strict change detection.
Brief in. Clean data out.
Provide category URLs, specific SKUs, or target hampers. We design the macro and pricing schema together.
We configure Scrapy and Playwright crawlers, UK proxy rotation, and table normalisation logic for musclefood.com.
Schema validation, null-rate checks on nutritional fields, 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 structured data from modern eCommerce frontends requires handling dynamic rendering and strict anti-bot measures.
eCommerce sites monitor traffic patterns closely. Our crawlers use UK-based residential ISP proxies with realistic browser fingerprints and randomised request timing to prevent IP blocks and rate limiting.
Complex hampers and Goal Getters meal plans rely on client-side rendering. We run full Playwright browser sessions to execute JavaScript, trigger lazy-loading, and capture accurate bundle pricing.
Nutritional tables vary wildly across product types. Our parsers map HTML table rows into strict JSON float values, handling missing fields, zero values, and inconsistent unit formatting automatically.
For large catalogues, we maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs for price or stock changes, reducing downstream processing load.
Every run emits structured logs. We alert on null-rate spikes in macro fields, sudden stock drops, and schema drift, ensuring your database remains accurate without manual oversight.
Supermarkets and online butchers track bulk meat pricing and promotional hampers to adjust their own retail strategies.
Fitness applications sync macro profiles and ingredient lists to provide accurate calorie tracking for their users.
FMCG analysts study trending high-protein snack categories and new product launches within the sports nutrition sector.
Dietary platforms map product availability against specific needs like gluten-free, dairy-free, or high-protein requirements.
Retail strategists calculate the exact margin and discount structures applied to multi-item hampers and subscription boxes.
Brands process review text and star ratings to gauge product quality, taste perception, and delivery reliability.
"Musclefood holds a highly structured dataset of nutritional profiles and complex meat bundles - querying it requires a resilient pipeline."
Building a scraper for eCommerce is easy; maintaining it is hard. DataFlirt handles UK residential proxies, dynamic JavaScript rendering for hampers, and strict macro table parsing. We absorb the infrastructure complexity so your team can focus entirely on pricing strategy and nutritional analysis.
Everything supported by our musclefood.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 handles JavaScript rendering and interaction flows for complex bundles.
We maintain pools of UK residential ISP proxies. Rotation happens per-request to ensure high success rates against eCommerce firewalls.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependencies. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About musclefood.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and nutritional information is generally permissible under UK law. DataFlirt targets only public, non-authenticated catalogue data. We do not extract personal user data or circumvent authentication walls.
We use UK residential ISP proxies, full Playwright browser sessions, and request timing modelled on human behaviour. This ensures consistent access to product pages without triggering security blocks.
Yes. We parse the contents of multi-item hampers and map them back to individual SKUs, allowing you to calculate the true unit cost and discount percentage applied to the bundle.
Full catalogue refreshes run at a daily cadence, capturing all price changes, stock availability, and new product additions within a defined execution window.
Our packages start with full catalogue extraction delivered weekly. For higher frequency runs or custom macro normalisation requirements, we price based on compute volume.
Yes. We provide a sample run of up to 100 products during the scoping phase so you can validate the nutritional schema and pricing accuracy before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off nutritional catalogue dump or continuous price-monitoring across hampers - we scope, build, and operate the pipeline. Tell us what you need.
