We extract supplement listings, nutritional profiles, pricing signals, flavour stock states, and customer reviews from Optimum Nutrition. 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 optimumnutrition.com. All fields typed and schema-versioned.
"sku": "ON-GSW-5LB", "title": "Gold Standard 100% Whey Protein", "category": "Protein", "price": 84.99, "list_price": 84.99, "stock_status": "in_stock", "flavours": "['Double Rich Chocolate', 'Vanilla Ice Cream', 'Delicious Strawberry']", "sizes": "['1.5 lb', '2 lb', '5 lb', '10 lb']"
| # | sku | title | category | price | list_price | flavours |
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Complete list of extractable fields for Nutritional Info objects from optimumnutrition.com. All fields typed and schema-versioned.
"sku": "ON-GSW-5LB", "serving_size": "31g", "servings_per_container": 73, "calories": 120, "protein_g": 24, "carbs_g": 3, "fat_g": 1.5, "allergens": "['Milk', 'Soy']"
| # | sku | serving_size | servings_per_container | calories | protein_g | carbs_g |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Availability objects from optimumnutrition.com. All fields typed and schema-versioned.
"sku": "ON-GSW-5LB", "flavour": "Double Rich Chocolate", "size": "5 lb", "price": 84.99, "subscription_price": 76.49, "in_stock": true, "currency": "USD"
| # | sku | flavour | size | price | subscription_price | discount_pct |
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Complete list of extractable fields for Reviews & Ratings objects from optimumnutrition.com. All fields typed and schema-versioned.
"review_id": "REV-992817", "sku": "ON-GSW-5LB", "star_rating": 5, "review_title": "Mixes perfectly", "review_body": "Best tasting protein powder I have used. Mixes instantly in a shaker cup.", "verified_buyer": true, "flavour_reviewed": "Vanilla Ice Cream", "review_date": "2023-10-14"
| # | review_id | sku | reviewer_name | star_rating | review_title | review_body |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Bundles & Promotions objects from optimumnutrition.com. All fields typed and schema-versioned.
"bundle_id": "BNDL-MUSCLE-BUILD", "title": "Advanced Muscle Building Stack", "included_skus": "['ON-GSW-5LB', 'ON-CREA-600G']", "bundle_price": 110.0, "individual_price_sum": 124.98, "savings_abs": 14.98, "savings_pct": 12, "promo_code": "STACK15"
| # | bundle_id | title | included_skus | bundle_price | individual_price_sum | savings_abs |
|---|---|---|---|---|---|---|
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Our scraper navigates the complex variant matrices of supplement listings, extracting precise flavour/size combinations, nutritional profiles, and dynamic pricing without triggering bot defenses.
Titles, descriptions, usage directions, warnings, and categorisation extracted at the SKU level.
Structured extraction of macronutrients, ingredient lists, allergens, and amino acid profiles from supplement fact tables.
Map complex parent-child relationships between base products and their specific flavour and weight variations.
Monitor stock states precisely down to the individual flavour and size combination.
Capture one-time purchase prices alongside recurring subscription discounts and promotional codes.
Extract verified buyer feedback, star ratings, and review text to analyse taste and mixability sentiment.
Track active site-wide offers, product stacks, and limited-time promotional pricing.
Extract listings for branded merchandise, shaker bottles, and gym gear alongside core supplements.
Run continuous pipelines at daily cadences with change-detection diffing to monitor stock drops and price changes.
Brief in. Clean data out.
Provide category URLs or specific product targets. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for optimumnutrition.com.
Schema validation, null-rate checks, and nutritional data verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Modern direct-to-consumer storefronts deploy aggressive bot protection and complex frontend rendering. Here is how we maintain reliable extraction.
Supplement listings contain dozens of flavour and size combinations. Our crawlers traverse the DOM to map exact pricing and stock status to every specific child SKU, rather than just the generic parent product.
Subscribe and save discounts load asynchronously via JavaScript. We utilise full Playwright execution to capture the hydrated DOM, ensuring we extract the actual subscription price rather than just the static list price.
Nutritional information often sits in complex HTML tables or varied layouts. Our extraction logic normalises these tables into structured JSON, providing clean macro and micro-nutrient data.
eCommerce platforms utilise Cloudflare and similar WAFs to block automated traffic. We route requests through residential ISP proxies with realistic browser fingerprints to maintain uninterrupted access.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, providing a clean changelog of stock statuses and price updates rather than full redundant dumps.
Sports nutrition brands track Optimum Nutrition pricing and promotional cadence to inform their own pricing strategy.
Retail buyers analyse flavour availability and stock-out frequency to determine which variants drive the highest demand.
Resellers monitor the site for heavy discounts, bundle offers, and clearance events to source inventory.
Formulators track ingredient profiles, macro ratios, and new product launches to identify industry trends.
Marketing teams process review text to understand consumer preferences regarding taste, mixability, and efficacy.
Brands compare direct-to-consumer baseline pricing against third-party retail channels to detect policy violations.
"Optimum Nutrition's direct-to-consumer catalogue holds the baseline pricing and formulation data for the entire sports supplement industry."
Extracting data from modern eCommerce storefronts requires handling complex variant matrices, JavaScript-rendered subscription pricing, and strict bot protection. DataFlirt manages this infrastructure so your engineers can focus on market analysis rather than maintaining scrapers.
Everything supported by our optimumnutrition.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 deduplication. Playwright handles JavaScript rendering and complex interaction flows required for variant mapping.
We maintain pools of residential ISP proxies to circumvent WAF rules and IP rate limiting, ensuring continuous access to the target domain.
Pipelines run on AWS infrastructure. Airflow handles scheduling and dependency management, pushing structured data directly to your warehouse.
Data delivered to where your team already works — no new tooling required.
About optimumnutrition.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, nutritional data, and reviews is generally permissible. DataFlirt extracts only public, non-authenticated data and does not interact with user accounts or gated checkout flows.
We utilise residential ISP proxies combined with realistic browser fingerprinting via Playwright to navigate WAF protections without triggering block pages or CAPTCHAs.
Yes. Our parsers are built to normalise the varied HTML structures of supplement fact panels into clean, queryable JSON fields for macros, ingredients, and allergens.
Yes. We map the stock status for every specific combination of flavour and size, rather than just the generic parent product availability.
We can configure pipelines to run at daily, hourly, or custom cadences depending on your monitoring requirements.
Yes. We paginate through the entire review corpus, extracting star ratings, review text, dates, and verified buyer flags.
20-minute scoping call. Pilot dataset within the week. Production within two. From complete catalogue extraction to daily stock monitoring across all flavours and sizes. Tell us what you need.
