We extract supplement facts, pricing signals, ingredient profiles, and customer reviews from Vitamin Shoppe. Delivered as clean JSON, CSV, or Parquet to your warehouse.
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 vitaminshoppe.com. All fields typed and schema-versioned.
"sku": "VS-1049", "title": "Whey Protein Isolate - Vanilla", "brand": "BodyTech", "price": 49.99, "auto_delivery_price": 44.99, "rating": 4.6, "review_count": 1240, "stock_status": "In Stock"
| # | sku | title | brand | category | health_goal | price |
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Complete list of extractable fields for Supplement Facts objects from vitaminshoppe.com. All fields typed and schema-versioned.
"sku": "VS-1049", "serving_size": "1 Scoop (32g)", "servings_per_container": 71, "protein": "25g", "carbs": "1g", "allergens": "Contains Milk and Soy", "other_ingredients": "Natural and Artificial Flavors"
| # | sku | serving_size | servings_per_container | calories | protein | carbs |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Promos objects from vitaminshoppe.com. All fields typed and schema-versioned.
"sku": "VS-1049", "base_price": 59.99, "sale_price": 49.99, "discount_pct": 16, "auto_delivery_discount": 10, "bogo_status": "BOGO 50% Off", "price_timestamp": "2023-10-27T08:14:00Z"
| # | sku | base_price | sale_price | discount_pct | auto_delivery_discount | bogo_status |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Reviews objects from vitaminshoppe.com. All fields typed and schema-versioned.
"review_id": "RV-849201", "sku": "VS-1049", "rating": 5, "review_title": "Mixes perfectly", "verified_buyer": true, "helpful_votes": 14, "review_date": "2023-09-12"
| # | review_id | sku | reviewer_name | rating | review_title | review_body |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Store Inventory objects from vitaminshoppe.com. All fields typed and schema-versioned.
"store_id": "STR-402", "zip_code": "10001", "sku": "VS-1049", "availability_status": "In Stock", "quantity": 12, "pickup_time": "Today by 2:00 PM"
| # | store_id | zip_code | sku | availability_status | quantity | pickup_time |
|---|---|---|---|---|---|---|
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Our Vitamin Shoppe scraper parses complex supplement facts tables, tracks BOGO pricing logic, and monitors local inventory variations across zip codes.
Extract SKU, title, brand, category hierarchy, and product form across thousands of supplements and beauty items.
Parse complex nutritional tables into structured JSON, capturing serving sizes, macros, vitamins, and proprietary blends.
Capture base price, sale price, auto-delivery discounts, and complex promotional banners like BOGO 50% Off.
Extract raw ingredient lists, allergen warnings, and usage instructions for compliance and formulation analysis.
Scrape full review text, star ratings, helpful votes, and verified buyer badges across paginated review sections.
Query stock levels and pickup availability by zip code to map omnichannel inventory distribution.
Extract formulation details, skin type suitability, and active ingredients from the beauty and personal care categories.
Map products to specific health goals like sleep, digestion, or energy based on site taxonomy and metadata.
Run continuous pipelines at daily or weekly cadences with change-detection diffing to reduce storage bloat.
Brief in. Clean data out.
Provide category URLs, brand names, or specific SKUs. We design the extraction schema tailored to your needs.
We configure Scrapy crawlers, localized session management, and nutritional table parsing logic.
Schema validation, null-rate checks, and price-outlier detection before full production launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on an agreed schedule.
Extracting supplement data requires structural parsing and localized session management. Here is how we maintain data integrity.
Retail sites employ strict WAFs. Our crawlers use residential ISP proxies with realistic browser fingerprints and automated CAPTCHA solving to maintain access.
Auto-delivery discounts and BOGO promotions are often rendered client-side. We run full Playwright browser sessions to capture accurate pricing.
Supplement facts are presented in complex HTML tables. We use custom parsing logic to map rows into clean, queryable JSON fields for macros and vitamins.
Stock availability varies by location. We manage localized session state to query inventory levels across multiple zip codes in a single run.
Promotional banners and layout structures change frequently. We use resilient fallback selectors to ensure extraction does not break during sales events.
Supplement brands monitor retail pricing, auto-delivery discounts, and promotional events to enforce MAP policies.
Formulators track the inclusion of novel ingredients and proprietary blends across top-selling products.
Retailers track brand catalogues, new product launches, and category expansion to inform their own merchandising.
Machine learning teams use structured supplement facts to train models for nutritional analysis and formulation generation.
Supply chain analysts track localized out-of-stock rates to understand regional demand patterns.
Marketing teams mine product reviews to understand flavor preferences, efficacy claims, and common complaints.
"Vitamin Shoppe holds a massive corpus of nutritional data and pricing logic, but accessing it requires navigating complex tables and localized inventory states."
Extracting supplement facts and dynamic BOGO pricing at scale requires more than simple HTTP requests. It demands localized session management, nutritional table parsing, and residential proxies. DataFlirt handles this infrastructure so your team can focus on market analysis.
Everything supported by our vitaminshoppe.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 localized session management.
We maintain pools of US residential ISP proxies to bypass retail bot detection and ensure high success rates.
Pipelines run on AWS infrastructure managed by Kubernetes. Airflow handles scheduling and dependency management.
Data delivered to where your team already works — no new tooling required.
About vitaminshoppe.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and review data is generally permissible. DataFlirt targets only public information and does not extract personal user data or bypass authentication walls. Clients should review terms of service and consult legal counsel.
We manage session state and cookies to simulate browsing from specific zip codes, allowing us to capture localized stock levels and pickup availability.
Yes. We use custom extraction logic to map the complex HTML structure of nutritional tables into clean JSON, capturing serving sizes, macros, and specific vitamin quantities.
Pipelines can be configured to run daily or at higher frequencies for specific SKU lists, ensuring you capture flash sales and promotional changes quickly.
Yes. Our schema includes fields for base price, sale price, auto-delivery discounts, and promotional text to capture the full pricing strategy.
Engagements start at a defined category or brand list with weekly delivery. We price based on data volume and extraction frequency.
Yes. We provide a sample run of up to 500 SKUs during the scoping phase to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full catalogue dump or continuous price monitoring across thousands of supplements, we build and operate the pipeline. Tell us your requirements.
