We extract pet food specifications, nutritional profiles, ingredient lists, and retailer networks from Acana. 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 Metadata objects from acana.com. All fields typed and schema-versioned.
"product_id": "AC-DOG-001", "name": "Acana Adult Dog Recipe", "animal_type": "Dog", "lifestage": "Adult", "breed_size": "All Breeds", "diet_type": "Grain-Free", "description": "Premium dog food with fresh chicken and raw flounder.", "page_url": "https://www.acana.com/en-us/dogs/dog-food/adult-dog-recipe"
| # | product_id | name | animal_type | lifestage | breed_size | diet_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Nutritional Profile objects from acana.com. All fields typed and schema-versioned.
"product_id": "AC-DOG-001", "crude_protein_pct": 29.0, "crude_fat_pct": 17.0, "crude_fiber_pct": 5.0, "moisture_pct": 12.0, "epa_pct": 0.1, "dha_pct": 0.1, "calcium_pct": 1.3
| # | product_id | crude_protein_pct | crude_fat_pct | crude_fiber_pct | moisture_pct | epa_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Ingredients & Additives objects from acana.com. All fields typed and schema-versioned.
"product_id": "AC-DOG-001", "primary_ingredients": "['Fresh chicken', 'chicken meal', 'whole red lentils']", "botanicals": "['Dried kelp', 'whole pumpkin', 'whole butternut squash']", "caloric_content_kcal_kg": 3475, "caloric_content_kcal_cup": 417, "fresh_meat_pct": 60, "vitamins": "['Vitamin E supplement', 'zinc proteinate']", "minerals": "['Copper proteinate']"
| # | product_id | primary_ingredients | botanicals | vitamins | minerals | caloric_content_kcal_kg |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Store Locator objects from acana.com. All fields typed and schema-versioned.
"store_id": "LOC-8492", "store_name": "Pet Supplies Plus", "address_line_1": "123 Main St", "city": "Austin", "state": "TX", "postal_code": "78701", "phone_number": "512-555-0192", "latitude": 30.2672, "longitude": -97.7431, "store_type": "Independent Retailer"
| # | store_id | store_name | address_line_1 | city | state | postal_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Variants objects from acana.com. All fields typed and schema-versioned.
"sku": "AC-DOG-001-4LB", "product_id": "AC-DOG-001", "weight_lb": 4.5, "weight_kg": 2.0, "price": 24.99, "currency": "USD", "in_stock": true, "subscription_eligible": true
| # | sku | product_id | weight_lb | weight_kg | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Acana scraper targets product catalogues, nutritional profiles, and retailer networks with precision. We handle regional site variations, store locator APIs, and dynamic table parsing.
Extract every dog and cat food product, including name, lifestage, breed size, and specific diet flags.
Convert complex HTML nutritional tables into flat JSON records containing protein, fat, fibre, and moisture percentages.
Parse ingredient lists to separate primary meat sources, botanicals, vitamins, and minerals.
Iterate over the Acana store locator API to map every authorised retailer, including coordinates and contact details.
Capture pricing and availability for all bag sizes, from 4.5lb trial bags to 25lb bulk bags.
Extract recommended daily feeding amounts based on pet weight and activity levels.
Scrape acana.com/en-us, acana.com/en-ca, and other regional subdirectories for market specific formulations.
Collect customer ratings, review text, and recommendation percentages from D2C product pages.
Run pipelines monthly to detect formula changes, new product launches, or shifts in the retailer network.
Brief in. Clean data out.
Provide target regions, product categories, or postal codes for the store locator. We design the schema.
We configure Scrapy spiders, map locator APIs, and build table parsers for the nutritional data.
Schema validation, null-rate checks, and ingredient list normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Extracting data from brand sites requires handling edge cases in product formatting and undocumented APIs.
Instead of scraping maps visually, we interact directly with the backend store locator APIs, iterating through geographic grids to ensure 100% coverage of authorised retailers.
Nutritional tables vary across product lines. We use intelligent parsers that map varying row labels to a normalised schema, ensuring consistent data types for downstream analysis.
Pricing and stock status for different bag weights load dynamically via JavaScript. We use Playwright to simulate user clicks on variant selectors to capture accurate D2C pricing.
Pet food brands update formulations silently. We maintain a hash index of ingredient lists and nutritional values, emitting diffs when a recipe changes.
We monitor for layout changes and API endpoint deprecations, fixing selectors before they cause data outages.
Pet food brands benchmark their nutritional profiles, ingredient quality, and pricing against Acana formulations.
Sales teams analyse the Acana store locator to identify independent pet stores for their own distribution outreach.
Veterinary researchers and analysts track protein, fat, and caloric content trends across premium pet food lines.
Brands monitor D2C pricing and promotional discounts to understand market positioning.
Investors track new product launches and shifts from grain-free to grain-inclusive lines to gauge consumer demand.
ML teams use structured ingredient lists and nutritional tables to train pet health recommendation engines.
"Acana publishes highly structured nutritional data and extensive retailer networks — but extracting it requires parsing complex tables and dynamic map interfaces."
Most teams underestimate the effort required to scrape brand sites. Extracting guaranteed analysis tables, mapping ingredient lists, and polling store locator APIs requires residential proxies, full JavaScript rendering, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on analysis.
Everything supported by our acana.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 API iteration. Playwright executes JavaScript for dynamic variant pricing.
We use residential IPs to access region specific formulations and bypass basic bot protection layers.
Pipelines run on AWS Lambda and ECS. Airflow manages scheduling and dependency execution.
Data delivered to where your team already works — no new tooling required.
About acana.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product information, ingredients, and store locations is generally permissible. DataFlirt targets only public data and does not attempt to bypass authentication walls for wholesale accounts.
We bypass the visual map interface and interact directly with the backend API, feeding it a grid of postal codes or coordinates to ensure comprehensive coverage of all listed retailers.
Yes. We maintain historical records of ingredient lists and nutritional profiles, allowing you to track when a recipe changes or a new ingredient is introduced.
Yes. We can target specific regional subdirectories or domains to capture market specific formulations and compliance data.
For a catalogue of this size, we typically run full refreshes weekly or monthly. Real-time extraction is available for specific product lines if required.
Yes. We provide a sample extract covering a subset of products and store locations to validate the schema before you commit.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off nutritional database dump or continuous retailer mapping — we scope, build, and operate the pipeline. Tell us what you need.
