We extract product listings, nutritional facts, subscription pricing, and verified reviews from drkellyann.com. Delivered as clean JSON, CSV, or Parquet to S3 or Snowflake on your schedule.
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 drkellyann.com. All fields typed and schema-versioned.
"sku": "DKA-BB-BEEF-01", "title": "Classic Beef Bone Broth", "category": "Bone Broth", "price": 59.0, "subscription_price": 49.0, "stock_status": "in_stock", "url": "https://drkellyann.com/products/classic-beef-bone-broth"
| # | sku | title | category | price | subscription_price | ingredients |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Nutritional Profiles objects from drkellyann.com. All fields typed and schema-versioned.
"product_id": "DKA-BB-BEEF-01", "serving_size": "1 packet (16g)", "calories": 70, "protein_g": 16, "carbs_g": 1, "fat_g": 0, "sodium_mg": 210, "dietary_tags": "['Keto', 'Paleo', 'Gluten-Free']"
| # | product_id | serving_size | calories | protein_g | carbs_g | fat_g |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Customer Reviews objects from drkellyann.com. All fields typed and schema-versioned.
"review_id": "REV-982341", "product_id": "DKA-COL-UNFL-02", "author": "Sarah M.", "rating": 5, "verified_buyer": true, "title": "Great addition to my morning coffee", "date": "2023-11-14", "helpful_votes": 12
| # | review_id | product_id | author | rating | verified_buyer | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Recipes & Diet Plans objects from drkellyann.com. All fields typed and schema-versioned.
"recipe_id": "REC-442", "title": "Keto Chicken Zoodle Soup", "category": "Lunch & Dinner", "prep_time_min": 25, "dietary_tags": "['Keto', 'Dairy-Free']", "author": "Dr. Kellyann", "published_date": "2022-08-10"
| # | recipe_id | title | category | prep_time_min | ingredients | instructions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Subscription & Pricing objects from drkellyann.com. All fields typed and schema-versioned.
"sku": "DKA-BB-BEEF-01", "one_time_price": 59.0, "subscribe_price": 49.0, "discount_pct": 16.9, "delivery_frequencies": "['14 Days', '30 Days', '60 Days']", "currency": "USD", "scraped_at": "2023-11-15T08:30:00Z"
| # | sku | one_time_price | subscribe_price | discount_pct | delivery_frequencies | bundle_options |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper bypasses D2C bot protection to extract structured product listings, complex nutritional tables, subscription pricing logic, and verified customer reviews.
Extract titles, descriptions, variants, and high-resolution images across the entire supplement and bone broth catalogue.
Parse complex nutritional label images and tables into structured JSON covering macros, micros, and serving sizes.
Capture dynamic pricing differences between one-time purchases and Subscribe & Save tiers.
Extract and normalise individual ingredients, allergen warnings, and dietary compliance tags (Keto, Paleo).
Scrape paginated customer reviews, including verified buyer badges, star ratings, and review text.
Extract the entire blog and recipe database, including prep times, ingredient lists, and step-by-step instructions.
Monitor out-of-stock statuses and waitlist availability across all product variants.
Map individual component SKUs within multi-product cleanses and starter kits.
Intercept backend JSON payloads from the storefront to extract clean variant data without parsing messy HTML.
Configure pipelines to only emit records when prices change or new reviews are published.
Brief in. Clean data out.
Select target categories, product lines, or recipe sections. We map the required nutritional and pricing fields.
We configure Scrapy and Playwright to navigate the storefront, bypass bot protection, and render dynamic pricing widgets.
We run schema validation to ensure nutritional facts and subscription discounts are accurately parsed.
Clean JSON, CSV, or Parquet delivered to your S3 bucket or data warehouse on your required cadence.
Modern D2C brands use dynamic frontend frameworks and anti-scraping plugins. Here is how we maintain stable data delivery.
Instead of parsing brittle HTML, our crawlers intercept the internal JSON payloads used by the storefront to render product variants and pricing, ensuring 100% accurate data extraction.
We use US-based residential proxies and Playwright browser sessions with realistic TLS fingerprints to bypass Cloudflare and storefront bot-protection plugins.
Subscribe & Save pricing is often injected via third-party JavaScript widgets. We execute full browser sessions to render these widgets and extract the discounted pricing tiers.
Nutritional facts are frequently displayed as images or unstructured text. We use computer vision and regex pipelines to normalise this data into strict macro and micro nutrient fields.
D2C brands update their themes frequently. We monitor field-level null rates and trigger alerts if a theme update breaks the extraction logic, fixing it before your next scheduled run.
Supplement brands track Dr. Kellyann's one-time and subscription pricing to optimise their own discount strategies.
Formulators extract macro and micro nutrient profiles to benchmark their bone broth and collagen products against a market leader.
Marketing teams mine verified reviews to understand customer pain points, flavour preferences, and perceived health benefits.
Health and wellness apps aggregate Keto and Paleo recipes to populate their meal planning databases.
Analysts monitor out-of-stock rates on flagship products to estimate demand and supply chain constraints.
Private equity firms track product launch velocity, review growth, and bundle strategies during due diligence.
"Dr. Kellyann's catalogue holds high-value nutritional data and pricing strategies, but extracting clean macros and subscription tiers requires purpose-built infrastructure."
Most teams fail at D2C scraping by relying on simple HTML parsers. Modern storefronts use complex JavaScript hydration for pricing and variants. DataFlirt executes full browser sessions, intercepts hidden API payloads, and normalises nutritional data into strict schemas so your engineers can focus on analysis.
Everything supported by our drkellyann.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, cookie sessions, and interaction flows required for D2C storefronts.
We maintain pools of US residential ISP proxies to bypass WAF protections. Rotation happens per-request with sticky sessions where required.
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 drkellyann.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, recipe, and review data. We do not extract personal data or circumvent authentication walls.
We use US-based residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to bypass storefront bot protection.
Yes. We parse nutritional tables and ingredient lists into strict JSON schemas, separating calories, protein, fats, and specific ingredients like collagen peptides.
We configure pipelines to run at your required cadence. Daily or weekly runs are standard for D2C catalogues to track price changes and stock availability.
Yes. We extract the full recipe corpus, including prep times, dietary tags (Keto, Paleo), ingredient lists, and step-by-step instructions.
Yes. We provide a sample run of up to 50 products or recipes during the scoping process so you can validate the schema and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous price monitoring across the Dr. Kellyann site, we build and operate the pipeline. Tell us what you need.
