We extract supplement listings, nutritional facts, ingredient profiles, pricing signals, and reviews from MusclePharm. 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 musclepharm.com. All fields typed and schema-versioned.
"sku": "MP-COMBAT-100-WHEY-5LB", "title": "Combat 100% Whey", "category": "Protein", "price": 64.99, "currency": "USD", "flavour": "Chocolate Milk", "size_weight": "5 lbs", "stock_status": "In Stock", "rating": 4.7, "review_count": 1248
| # | sku | title | category | sub_category | price | currency |
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Complete list of extractable fields for Nutritional Facts objects from musclepharm.com. All fields typed and schema-versioned.
"sku": "MP-COMBAT-100-WHEY-5LB", "serving_size": "1 Scoop (33g)", "servings_per_container": 68, "calories": 130, "protein_g": 25, "carbohydrates_g": 3, "fat_g": 1.5, "sugar_g": 1, "sodium_mg": 70
| # | sku | serving_size | servings_per_container | calories | protein_g | carbohydrates_g |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Ingredients objects from musclepharm.com. All fields typed and schema-versioned.
"sku": "MP-ASSAULT-PRE-30", "ingredient_name": "Caffeine Anhydrous", "amount_per_serving": "200mg", "daily_value_pct": "None", "proprietary_blend_name": "Energy & Focus Blend", "allergens": "Contains Milk and Soy", "active_compounds": "['Creatine Monohydrate', 'Beta-Alanine']", "warnings": "Do not exceed 1 scoop per day."
| # | sku | ingredient_name | amount_per_serving | daily_value_pct | proprietary_blend_name | allergens |
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Complete list of extractable fields for Reviews & Ratings objects from musclepharm.com. All fields typed and schema-versioned.
"review_id": "REV-8849201", "sku": "MP-COMBAT-100-WHEY-5LB", "reviewer_name": "John D.", "rating": 5, "review_title": "Great taste and mixes well", "review_body": "Best chocolate protein I have had. No clumping.", "review_date": "2026-03-12", "verified_buyer": true, "helpful_votes": 14
| # | review_id | sku | reviewer_name | rating | review_title | review_body |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Stock objects from musclepharm.com. All fields typed and schema-versioned.
"sku": "MP-COMBAT-100-WHEY-5LB", "price": 64.99, "list_price": 79.99, "discount_pct": 18, "stock_status": "In Stock", "inventory_level": 412, "currency": "USD", "scraped_at": "2026-05-12T09:14:00Z"
| # | sku | price | list_price | discount_pct | stock_status | inventory_level |
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Our MusclePharm scraper parses complex nutritional tables, maps flavour and size variations, and tracks stock levels across the entire catalogue.
Extract macronutrients, micronutrients, and serving sizes from unstructured HTML tables into clean, typed JSON fields.
Capture proprietary blends, active compounds, allergens, and warning labels for compliance and formulation analysis.
Map parent products to all child variations (e.g., 2lb vs 5lb, Chocolate vs Vanilla) with specific pricing and SKU data.
Monitor base prices, sale prices, and bundle discounts across the catalogue to track promotional strategies.
Track out-of-stock statuses and inventory levels to forecast demand and monitor supply chain health.
Paginate through product reviews to extract text, ratings, and verified buyer badges for sentiment analysis.
Maintain the exact taxonomy MusclePharm uses, from pre-workouts to amino acids and protein powders.
Extract Informed-Choice and banned-substance tested badges associated with specific product lines.
Run daily or weekly pipelines that only emit records when formulations, prices, or stock levels change.
Brief in. Clean data out.
Select target categories, specific SKUs, or the entire MusclePharm catalogue. We map the required nutritional fields.
We configure Scrapy crawlers, handle Shopify API pagination, and build custom parsers for nutritional tables.
Schema validation ensures macronutrients sum correctly and variant pricing matches the frontend display.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on your defined cadence.
Extracting data from supplement brands requires handling complex product variations and unstructured nutritional panels. Here is how we build reliable pipelines.
Supplement pages often load default prices, while specific flavour and size combinations require JavaScript interactions or API calls to resolve. We hydrate every possible variant combination to ensure accurate pricing and stock data per SKU.
Nutritional panels are notoriously difficult to parse due to inconsistent HTML structures, nested rows, and proprietary blends. Our custom parsers normalise these tables into strict schemas, separating macros, micros, and daily value percentages.
Where possible, we intercept backend Shopify or headless commerce API calls to extract clean JSON payloads directly, bypassing DOM parsing entirely for faster, more resilient data extraction.
Even standard eCommerce sites deploy rate limiting and bot protection. We route requests through residential proxies with realistic TLS fingerprints to ensure uninterrupted catalogue extraction without IP bans.
We normalise serving sizes, weights (lbs to kg), and nutritional units (mg, mcg, g) so the output data is immediately ready for analysis or database insertion without downstream cleaning.
R&D teams analyse competitor ingredient profiles, proprietary blends, and macronutrient ratios to benchmark new product development.
Retailers and competing brands monitor MusclePharm's direct-to-consumer pricing, discount strategies, and bundle offers.
Supply chain analysts track stock-out frequencies on popular SKUs to estimate demand velocity and production constraints.
Marketing teams mine review text to identify common complaints about mixability, flavour profiles, or packaging issues.
Brands track first-party pricing to ensure alignment with wholesale Minimum Advertised Price policies across channels.
Machine learning teams ingest structured nutritional panels to train dietary recommendation engines and macro-tracking applications.
"MusclePharm's catalogue holds critical formulation and pricing intelligence for the supplement industry - but extracting nutritional tables requires custom parsing logic."
Most teams underestimate the complexity of parsing unstructured nutritional panels and mapping flavour-size variations. DataFlirt absorbs that complexity, handling API pagination, proxy rotation, and complex table extraction so your engineers can focus on product analysis rather than maintaining fragile scraping scripts.
Everything supported by our musclepharm.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 fast catalogue traversal and API requests. Playwright handles JavaScript rendering for complex variant hydration and dynamic pricing widgets.
We route requests through ISP-grade residential proxies to bypass rate limits and automated bot detection deployed on modern eCommerce platforms.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About musclepharm.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our pipeline hydrates all product variants, ensuring you get specific pricing, stock levels, and SKUs for a 2lb Chocolate tub versus a 5lb Vanilla tub.
We use custom parsers designed specifically for supplement facts panels. We normalise serving sizes, macronutrients, and proprietary blends into strict, queryable JSON fields.
We support daily, weekly, or custom scheduled runs. For stock monitoring or flash sale tracking, we can configure higher-frequency pipelines on specific SKU subsets.
Yes. We paginate through all available product reviews, extracting the rating, text, date, and verified buyer status.
Yes. We extract 'In Stock' or 'Out of Stock' statuses. Where the underlying eCommerce API exposes exact inventory counts, we capture those integers as well.
Yes. We provide sample exports during the scoping phase so your engineering and data science teams can validate the schema and table parsing accuracy before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue export for formulation analysis or continuous price tracking across all SKUs, we build and operate the infrastructure. Tell us your requirements.
