We extract Science Diet and Prescription Diet catalogues, granular nutritional breakdowns, feeding guides, and veterinary clinic locators from hills.com. Delivered as clean JSON or Parquet.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Metadata objects from hills.com. All fields typed and schema-versioned.
"sku": "603957", "product_name": "Prescription Diet c/d Multicare Urinary Care Dry Dog Food", "product_line": "Prescription Diet", "lifestage": "Adult, Senior", "health_condition": "Urinary Health", "food_form": "Dry Food", "available_sizes": "['8.5 lb', '17.6 lb', '27.5 lb']", "flavour": "Chicken"
| # | sku | product_name | product_line | lifestage | health_condition | breed_size |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Nutritional Analysis objects from hills.com. All fields typed and schema-versioned.
"sku": "603957", "protein_pct": 21.0, "fat_pct": 13.0, "crude_fibre_pct": 3.0, "moisture_pct": 10.0, "calcium_pct": 0.6, "phosphorus_pct": 0.5, "caloric_density_kcal_cup": 374
| # | sku | protein_pct | fat_pct | crude_fibre_pct | moisture_pct | calcium_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ingredients objects from hills.com. All fields typed and schema-versioned.
"sku": "603957", "primary_ingredient": "Whole Grain Corn", "full_ingredient_list": "Whole Grain Corn, Brewers Rice, Chicken Meal, Chicken Fat, Corn Gluten Meal...", "grain_free": false, "prescription_required": true, "artificial_colours": false, "artificial_flavours": false
| # | sku | primary_ingredient | full_ingredient_list | vitamins_added | minerals_added | artificial_colours |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Feeding Guide objects from hills.com. All fields typed and schema-versioned.
"sku": "603957", "target_weight_lb": 10, "target_weight_kg": 4.5, "daily_amount_cups": 1.0, "daily_amount_grams": 95, "transition_days": 7, "special_instructions": "Adjust feeding amounts as necessary to maintain optimal weight."
| # | sku | target_weight_lb | target_weight_kg | daily_amount_cups | daily_amount_grams | transition_days |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Retailer Locator objects from hills.com. All fields typed and schema-versioned.
"store_id": "LOC-8492", "store_name": "Downtown Veterinary Clinic", "store_type": "Veterinary Clinic", "city": "Seattle", "state": "WA", "zip_code": "98101", "stocks_prescription_diet": true, "stocks_science_diet": true
| # | store_id | store_name | store_type | address | city | state |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our hills.com scraper handles dynamic product variants, nested nutritional tables, and geo-fenced retailer locators to deliver a highly structured dataset for pet food analysis.
Extract every SKU across Science Diet, Prescription Diet, and Healthy Advantage lines, including all bag sizes and packaging variants.
Parse complex nutritional tables to capture protein, fat, fibre, moisture, and micro-nutrient percentages on a dry matter basis.
Tokenise the full ingredient list to identify primary protein sources, grains, added vitamins, and flag artificial additives.
Capture daily feeding recommendations mapped to pet weight in both imperial and metric units, including mixed feeding ratios.
Scrape the geo-fenced store locator to map veterinary clinics and pet specialty stores stocking specific product lines.
Identify therapeutic diets and map them to specific health conditions like urinary care, kidney support, or weight management.
Categorise products accurately by target lifestage (kitten, adult, senior) and breed size (small paws, large breed).
Monitor formulation changes, new product launches, and discontinued SKUs with hash-based diffing.
Run pipelines at your preferred frequency to keep your internal databases synchronised with the live site.
Brief in. Clean data out.
Select target product lines, nutritional data points, or geographic regions for the retailer locator.
We configure Playwright crawlers to handle dynamic table rendering and geo-fenced API endpoints.
Schema validation, null-rate checks, and unit conversion verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting accurate nutritional data requires parsing deeply nested DOM structures and executing JavaScript for variant selection.
Bag sizes and corresponding nutritional shifts are heavily JavaScript-rendered. We run full Playwright browser sessions to trigger variant changes and capture accurate SKU-level data.
The where-to-buy locator requires geographic inputs. We iterate through comprehensive zip code lists using localised residential proxies to extract a complete map of stockists.
Nutritional profiles are displayed in complex tabbed interfaces. Our selector strategy uses structured data extraction and XPath fallback chains to ensure every micronutrient is captured accurately.
We use residential ISP proxies with realistic browser fingerprints to prevent rate-limiting during large-scale catalogue extraction.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing downstream processing load and highlighting formulation changes.
Pet food manufacturers compare their nutritional profiles and caloric densities against Hill's Science Diet formulations.
Veterinary researchers aggregate macronutrient data across therapeutic diets to analyse industry standards for specific health conditions.
Sales teams analyse the geographic density of veterinary clinics stocking Prescription Diet products.
Pet supply retailers automatically update their product listings with accurate ingredients, feeding guides, and product images.
Academics track formulation changes in therapeutic diets over time to correlate with clinical outcomes.
Analysts track the introduction of new protein sources, grain-free options, and condition-specific diets in the pet food market.
"Hill's Pet Nutrition provides some of the most clinically precise dietary data in the pet food industry, but extracting it at scale requires parsing highly nested, dynamic tables."
Extracting data from hills.com involves navigating complex JavaScript-rendered nutritional tables and geo-fenced retailer locators. DataFlirt manages the proxies, rendering, and parsing logic so your data team receives clean, normalised nutritional profiles and product specifications directly in your warehouse.
Everything supported by our hills.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 manages JavaScript rendering for complex nutritional tables and variant selectors.
We maintain pools of residential ISP proxies to avoid rate limits during intensive catalogue and retailer locator extraction.
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 hills.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We execute JavaScript to select every available bag size on a product page, capturing the specific SKU, weight, and any variations in the nutritional profile or feeding guide.
Yes. Hill's displays complex nutritional data. We parse these tables to extract precise percentages for protein, fat, fibre, and moisture, mapping them to standard schema fields.
Yes. We automate searches across comprehensive zip code lists to extract full directories of veterinary clinics and pet stores that stock specific product lines.
We maintain a hash index of the ingredient list and nutritional table for every SKU. If a formulation changes, the pipeline detects the diff and flags the update in your next delivery.
Yes. We capture all metadata tags, allowing you to filter the dataset by specific health conditions such as urinary care, weight management, or kidney support.
We deliver structured data in JSON, CSV, XLS, and Parquet. We can push this directly to AWS S3, Snowflake, BigQuery, or via Webhook and API.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off nutritional catalogue dump or continuous tracking of formulation changes. Tell us what you need.
