We extract product recipes, guaranteed analysis tables, ingredient sourcing, and store locator data from orijenpetfoods.com. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 Listings objects from orijenpetfoods.com. All fields typed and schema-versioned.
"url": "https://www.orijenpetfoods.com/en-US/dogs/dog-food/original/ds-ori-original-dog.html", "title": "ORIJEN Original Dog Food", "category": "Dog Food", "life_stage": "All Life Stages", "diet_type": "Grain-Free", "primary_flavor": "Chicken, Turkey & Fish"
| # | url | title | category | life_stage | diet_type | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Nutritional Analysis objects from orijenpetfoods.com. All fields typed and schema-versioned.
"product_id": "ds-ori-original-dog", "crude_protein_pct": 38.0, "crude_fat_pct": 18.0, "crude_fiber_pct": 4.0, "moisture_pct": 12.0, "dha_pct": 0.2
| # | product_id | crude_protein_pct | crude_fat_pct | crude_fiber_pct | moisture_pct | dha_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Ingredients List objects from orijenpetfoods.com. All fields typed and schema-versioned.
"product_id": "ds-ori-original-dog", "top_8_ingredients": "['Chicken', 'Turkey', 'Salmon', 'Whole herring', 'Chicken liver', 'Dehydrated chicken', 'Dehydrated turkey', 'Dehydrated chicken liver']", "fresh_meat_pct": 85, "botanical_inclusions": "['Whole pumpkin', 'Collard greens', 'Apples', 'Pears']", "vitamins": "['Vitamin E supplement', 'Thiamine mononitrate', 'Niacin']", "caloric_distribution": "39% from protein, 20% from carbohydrates, 41% from fat"
| # | product_id | ingredient_list_raw | top_8_ingredients | fresh_meat_pct | botanical_inclusions | vitamins |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Feeding Guidelines objects from orijenpetfoods.com. All fields typed and schema-versioned.
"product_id": "ds-ori-original-dog", "dog_weight_kg": 5.0, "active_feeding_grams": 90, "less_active_feeding_grams": 60, "calories_per_kg": 3940, "calories_per_cup": 473
| # | product_id | dog_weight_kg | dog_weight_lb | active_feeding_grams | less_active_feeding_grams | puppy_multiplier |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Store Locator objects from orijenpetfoods.com. All fields typed and schema-versioned.
"store_id": "LOC-84921", "store_name": "Pet Supplies Plus", "city": "Austin", "state": "TX", "latitude": 30.2672, "longitude": -97.7431
| # | store_id | store_name | address_line_1 | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Pet food sites contain dense, unstructured data. We parse complex HTML tables, normalise ingredient lists, and reverse-engineer store locator APIs to deliver queryable datasets.
Extract core product attributes including life stage suitability, diet types, primary protein sources, and marketing claims directly from product pages.
Convert HTML tables of nutritional profiles into structured key-value pairs, normalising protein, fat, fibre, and moisture percentages across the catalogue.
Tokenise raw ingredient paragraphs into structured arrays, isolating the top 8 ingredients, fresh meat percentages, and botanical inclusions.
Map retail distribution by querying the underlying location APIs, capturing store names, addresses, coordinates, and contact details.
Parse feeding recommendation matrices to capture daily intake volumes based on pet weight and activity levels.
Capture all available packaging sizes and corresponding SKUs for each recipe variant.
Handle geolocation redirects to extract region-specific formulations and packaging differences across US, CA, and EU markets.
Extract metabolizable energy metrics and macronutrient caloric distribution profiles for nutritional benchmarking.
Capture specific on-page badges and text claims regarding sourcing, grain-free status, and biological appropriateness.
Brief in. Clean data out.
Select the target regions, product lines, and specific nutritional or retail data points required for your analysis.
We configure extraction logic for unstructured ingredient strings and reverse-engineer the store locator API endpoints.
Schema validation ensures guaranteed analysis percentages and ingredient arrays meet expected data types and ranges.
JSON, CSV, or Parquet pushed to your S3 bucket or BigQuery dataset on a scheduled cadence.
Brand sites present unique challenges: complex table structures, unstructured ingredient strings, and undocumented location APIs.
Store locators often rely on undocumented backend APIs. We intercept network requests to extract raw JSON location data, bypassing frontend rendering limitations and capturing full coordinate datasets.
Ingredients are typically displayed as a single, comma-separated paragraph. Our parsers tokenise these strings into structured arrays, preserving order and isolating specific vitamin and mineral supplements.
Nutritional tables vary in structure between product lines. We use heuristic mapping to normalise rows into consistent schema fields, ensuring crude protein and fat metrics are always queryable.
Orijenpetfoods.com uses IP-based redirects to serve region-specific content. We route requests through targeted residential proxies to bypass forced redirects and capture localized product formulations.
We strip textual units from table values and convert them into strict numeric types, ensuring feeding guidelines and nutritional percentages are ready for immediate mathematical analysis.
Pet food manufacturers compare macronutrient profiles and ingredient hierarchies to position competing product lines.
Sales teams analyse store locator data to map competitor retail footprints and identify underserved geographic regions.
Market researchers track the inclusion of specific novel proteins or botanicals to forecast pet nutrition trends.
Brands monitor changes in bag sizes, life stage targeting, and recipe formulations to anticipate market shifts.
Developers populate pet health and diet tracking applications with accurate caloric and nutritional baseline data.
Regulatory and compliance teams verify on-pack marketing claims against published ingredient lists and nutritional tables.
"Orijenpetfoods.com contains highly detailed nutritional matrices and ingredient sourcing data, but it is locked in unstructured text and complex HTML tables."
Extracting data from premium pet food brands requires specific parsers for guaranteed analysis tables, ingredient breakdown logic, and reverse-engineering store locator APIs. DataFlirt handles these transformations so your analysts receive clean, normalised nutritional datasets ready for immediate querying.
Everything supported by our orijenpetfoods.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 catalogue traversal and API requests. Playwright is deployed for complex frontend interactions, ensuring dynamic content and region-gated modals are properly handled.
We bypass frontend DOM scraping for store locators, directly interacting with backend mapping APIs to extract complete, unpaginated JSON payloads of retailer coordinates.
Pipelines execute on AWS infrastructure with Airflow managing job scheduling. Data is validated against strict JSON schemas before being pushed to downstream storage.
Data delivered to where your team already works — no new tooling required.
About orijenpetfoods.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information, such as product ingredients and store locations, is generally permissible. DataFlirt targets only public, non-authenticated data and does not extract personal identifiable information.
We locate the nutritional HTML tables on product pages and map the rows to standard schema fields, stripping text units to return clean numeric percentages for crude protein, fat, fibre, and moisture.
Yes. We intercept the network requests made by the store locator map and query the backend API directly, allowing us to extract thousands of retailer locations globally.
Yes. We tokenise the raw comma-separated ingredient paragraph into a structured JSON array, preserving the exact order which is critical for understanding formulation dominance.
Pipelines can be configured to run on your required schedule, whether that is a daily check for formulation updates or a monthly full-catalogue refresh.
Yes. We parse the feeding recommendation tables to extract the exact gram measurements required for different pet weights across various activity levels.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off extraction of ingredient lists or continuous monitoring of retail distribution across regions, we build and operate the pipeline. Tell us what you need.
