We extract product catalogues, guaranteed analysis metrics, ingredient lists, and feeding guidelines from Purina. 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 Core objects from purina.com. All fields typed and schema-versioned.
"sku": "038100138675", "name": "Purina Pro Plan High Protein Chicken & Rice Formula", "brand": "Purina", "sub_brand": "Pro Plan", "category": "Dry Food", "animal_type": "Dog", "life_stage": "Adult"
| # | sku | name | brand | sub_brand | category | animal_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Nutritional Info objects from purina.com. All fields typed and schema-versioned.
"sku": "038100138675", "crude_protein_pct": 26.0, "crude_fat_pct": 16.0, "crude_fiber_pct": 3.0, "moisture_pct": 12.0, "caloric_content_cup": 387, "aafco_statement": "Animal feeding tests using AAFCO procedures substantiate that Pro Plan provides complete and balanced nutrition."
| # | sku | guaranteed_analysis | crude_protein_pct | crude_fat_pct | crude_fiber_pct | moisture_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ingredients & Allergens objects from purina.com. All fields typed and schema-versioned.
"sku": "038100138675", "primary_ingredient": "Chicken", "grain_free": false, "allergens": "['wheat', 'soy']", "artificial_colours": false, "ingredient_list": "['Chicken', 'Rice', 'Whole Grain Wheat', 'Poultry By-Product Meal', 'Soybean Meal']"
| # | sku | ingredient_list | primary_ingredient | vitamins | minerals | grain_free |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Feeding Guidelines objects from purina.com. All fields typed and schema-versioned.
"sku": "038100138675", "weight_tier_kg": "23-45", "daily_amount_grams": "250-400", "feeding_frequency": "Twice daily", "water_recommendation": "Provide adequate fresh water in a clean container daily.", "transition_instructions": "Allow 7 to 10 days to ease the transition from your dog's current food."
| # | sku | weight_tier_kg | daily_amount_grams | transition_instructions | feeding_frequency | water_recommendation |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for SKUs & Purchasing objects from purina.com. All fields typed and schema-versioned.
"sku": "038100138675", "upc": "038100138675", "package_type": "Bag", "package_sizes": "['5 lb', '18 lb', '35 lb']", "available_retailers": "['Chewy', 'Amazon', 'PetSmart']", "average_rating": 4.7, "review_count": 2145
| # | sku | upc | package_sizes | package_type | available_retailers | retailer_urls |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Purina scraper handles every layer of the platform: product catalogues, guaranteed analysis tables, ingredient lists, and feeding guidelines, with JavaScript rendering and session management built in.
Extract data across Pro Plan, Fancy Feast, Dog Chow, and other sub-brands from a unified schema.
Extract protein, fat, fibre, and moisture percentages into structured float values.
Split comma-separated ingredient text into queryable arrays and identify primary protein sources.
Convert HTML feeding charts into JSON objects keyed by pet weight and life stage.
Capture kcal/kg and kcal/cup metrics mapped directly to specific product variants.
Extract nutritional adequacy statements for regulatory compliance and product benchmarking.
Scrape 'Where to Buy' widget data to map Purina SKUs to external retailer listings.
Map all available bag and can sizes to their parent product IDs.
Run one-off bulk exports or configure continuous pipelines at monthly or weekly cadences.
Brief in. Clean data out.
Provide target sub-brands, categories, or specific URLs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and table parsing logic for purina.com.
Schema validation, null-rate checks, float parsing verification, and sample datasets before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured data from marketing pages requires precise parsing. Here is how we maintain data integrity.
Purina relies on JavaScript for 'Where to Buy' widgets and dynamic variant selection. We run full Playwright browser sessions to trigger lazy loading and hydrate product availability data.
Purina uses different DOM structures for Pro Plan versus Fancy Feast. Our selector strategy uses fallback chains to normalise data across all sub-brand layouts.
Feeding guidelines are presented in complex HTML tables that vary by product type. We use custom parsing logic to map row and column headers into strict JSON key-value pairs.
Guaranteed analysis blocks mix text and numbers. We extract the raw text and parse it into structured float values for protein, fat, and moisture percentages.
For large product catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing downstream processing load.
Pet food brands analyse Purina nutritional profiles and ingredient lists against their own products to identify market gaps.
Retailers track active Purina SKUs, package sizes, and variants to optimise their own shelf space and inventory.
Market analysts monitor shifts in primary protein sources, grain inclusion, and artificial additive usage across the Purina portfolio.
Compliance teams audit AAFCO statements and guaranteed analysis claims across product lines for industry benchmarking.
Pricing teams map Purina SKUs to specific retailer URLs via the 'Where to Buy' data to track third-party retail pricing.
Researchers compile macronutrient profiles and caloric densities across specific life-stage diets for clinical reference.
"Purina digital catalogues contain the foundational nutritional data for millions of pets. Extracting structured dietary metrics from marketing pages requires precision engineering."
Most teams underestimate the investment required. Reliable pet food scraping requires parsing inconsistent HTML tables for feeding guidelines, extracting float values from guaranteed analysis blocks, and maintaining state across disparate brand subdomains. DataFlirt absorbs that complexity so your analysts focus on the data, not the infrastructure.
Everything supported by our purina.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 retry logic. Playwright handles JavaScript rendering for dynamic retailer widgets. Combined via scrapy-playwright middleware.
We route requests through US-based proxy pools to ensure consistent access and prevent rate limiting from Purina content delivery networks.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About purina.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product and nutritional information from purina.com is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product data. We do not extract personal data or circumvent authentication walls.
Purina operates multiple sub-brands like Pro Plan and Fancy Feast with varying page layouts. Our pipeline uses a unified schema with brand-specific selectors to normalise the data into a single consistent format.
Yes. We parse the HTML tables used for feeding guidelines and convert them into structured JSON objects, mapping daily feeding amounts to specific pet weight tiers.
Yes. We execute the JavaScript required to load the 'Where to Buy' widgets and extract the listed retailers and external purchase URLs for each SKU.
We typically configure Purina pipelines for weekly or monthly runs, as nutritional profiles and product catalogues change infrequently. We can support daily runs if required.
We extract the raw text from the guaranteed analysis section and parse it to isolate specific metrics like crude protein, crude fat, and moisture, converting them into queryable float values.
Absolutely. We provide a sample run of up to 100 Purina SKUs as part of the pre-engagement scoping process so you can validate schema fit and parsing accuracy.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of nutritional profiles or a continuous monitor of the entire Purina catalogue, we scope, build, and operate the pipeline. Tell us what you need.
