We extract dog food listings, ingredient profiles, guaranteed analysis metrics, feeding guidelines, and store locator data from pedigree.com. Delivered as clean JSON, CSV, 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 Listings objects from pedigree.com. All fields typed and schema-versioned.
"product_id": "PED-DRY-001", "name": "Adult Complete Nutrition Roasted Chicken", "category": "Dry Food", "life_stage": "Adult", "breed_size": "All Breed Sizes", "page_url": "https://www.pedigree.com/dog-foods/dry-food/adult-roasted-chicken", "upc_codes": "['023100100412', '023100100429']"
| # | product_id | name | category | sub_category | life_stage | breed_size |
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Complete list of extractable fields for Nutritional Info objects from pedigree.com. All fields typed and schema-versioned.
"product_id": "PED-DRY-001", "crude_protein_pct": 21.0, "crude_fat_pct": 10.0, "moisture_pct": 12.0, "caloric_content_kcal": 3402, "ingredients": "['Ground Whole Grain Corn', 'Meat And Bone Meal', 'Corn Gluten Meal', 'Animal Fat']"
| # | product_id | ingredients | crude_protein_pct | crude_fat_pct | crude_fiber_pct | moisture_pct |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Feeding Guidelines objects from pedigree.com. All fields typed and schema-versioned.
"product_id": "PED-DRY-001", "dog_weight_lbs_min": 10, "dog_weight_lbs_max": 25, "daily_cups": "1 to 2", "mixed_feeding_cans": "0.5", "transition_days": 7
| # | product_id | dog_weight_lbs_min | dog_weight_lbs_max | daily_cups | mixed_feeding_cans | mixed_feeding_pouches |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Store Locator objects from pedigree.com. All fields typed and schema-versioned.
"store_id": "WM-4829", "store_name": "Walmart Supercenter", "city": "Austin", "state": "TX", "latitude": 30.2672, "longitude": -97.7431, "in_stock_status": true
| # | store_id | store_name | address | city | state | zip_code |
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Complete list of extractable fields for Reviews & Ratings objects from pedigree.com. All fields typed and schema-versioned.
"review_id": "REV-99281", "product_id": "PED-DRY-001", "star_rating": 5, "review_title": "My dog loves this", "review_date": "2023-11-14", "recommended": true
| # | review_id | product_id | reviewer_nickname | star_rating | review_title | review_body |
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Our Pedigree scraper handles the entire brand footprint: product formulation, dynamic feeding calculators, geospatial store locators, and consumer reviews. We manage the infrastructure so you receive structured output.
Capture names, size variants, life stage constraints, and breed size recommendations for every dry food, wet food, and treat.
Extract the guaranteed analysis table, caloric content per cup, and the exact sequence of the ingredient list.
Convert weight-based portion recommendations and mixed-feeding instructions into structured tabular data.
Execute geospatial queries against the Where to Buy API to extract retail partners carrying specific UPCs.
Extract customer feedback, star ratings, and recommendation flags paginated across all product review pages.
Map complex parent-child relationships for treat sizes, flavour combinations, and multipack configurations.
Scrape dog training tips, adoption guides, and nutritional advice articles for content aggregation.
Execute full browser sessions to hydrate dynamic store locators and interactive feeding calculators.
Monitor ingredient formulation changes or new product releases with automated diffing.
Brief in. Clean data out.
Specify product categories, geographic regions for store locators, or review thresholds. We map the schema.
We configure crawlers, proxy pools, and JavaScript rendering engines to handle pedigree.com architecture.
We test schema adherence, null-rate limits, and ingredient list completeness before production deployment.
Clean records pushed to your S3 bucket, BigQuery dataset, or webhook endpoint on your defined schedule.
Brand sites like Pedigree use specific frontend frameworks and third-party integrations for reviews and store locators. We handle the technical overhead.
Pedigree uses third-party mapping services for its 'Where to Buy' feature. We bypass the frontend map rendering and query the underlying spatial APIs directly, iterating through zip codes to build a complete national inventory map.
Customer reviews are often loaded asynchronously via providers like Bazaarvoice. Our pipeline intercepts these network requests to extract the raw JSON review data, bypassing complex DOM parsing.
FMCG brands frequently update their sites for seasonal campaigns. We use resilient selector strategies and fallback chains to ensure data extraction continues even when the marketing team changes the page structure.
Pet food ingredients change. We maintain a hash index of the guaranteed analysis and ingredient lists. Subsequent runs only push diffs, allowing you to track exactly when a formulation is altered.
We monitor catalogue completeness and alert on 404s or redirect loops, ensuring your database accurately reflects the current active product lineup.
Pet food brands benchmark nutritional profiles, guaranteed analysis metrics, and ingredient sequences against market leaders.
Distributors aggregate 'where to buy' data to map brand distribution networks and identify retail gaps.
Analysts track ingredient trends, such as protein sources or grain inclusions, across the entire product catalogue.
Pet supply marketplaces populate their catalogues with accurate manufacturer data, feeding guides, and high-resolution images.
Product teams mine review text to understand palatability, digestion feedback, and customer satisfaction.
Machine learning teams use the structured nutritional data and care articles to train specialized pet care models.
"Pedigree.com holds the definitive manufacturer data for one of the world's largest pet food brands. This is essential for accurate retail syndication and ingredient benchmarking."
Most pet industry aggregators rely on outdated retail data. Extracting directly from the manufacturer ensures you capture the exact guaranteed analysis, precise ingredient sequences, and official feeding guidelines before they hit the retail supply chain. DataFlirt automates this extraction pipeline.
Everything supported by our pedigree.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 manages crawl orchestration and retry logic. Playwright handles JavaScript rendering for third-party review widgets and store locator map interfaces.
We utilise residential ISP proxies to route requests, ensuring high success rates when querying regional store locator endpoints.
Pipelines execute on AWS infrastructure. Airflow handles scheduling and dependency management, ensuring reliable delivery cadences.
Data delivered to where your team already works — no new tooling required.
About pedigree.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product information, nutritional data, and store locations is generally permissible. DataFlirt extracts only public, non-authenticated data. We do not bypass login walls or extract personal user information.
We programmatically query the underlying spatial API used by the 'Where to Buy' feature, iterating through geographic coordinates to build a comprehensive list of retail partners carrying specific products.
Yes. We maintain a baseline of the guaranteed analysis and ingredient lists. Subsequent pipeline runs compare the current live data against the baseline, emitting a diff record if the formulation changes.
Yes. We paginate through the embedded review provider to extract the full historical corpus of customer reviews, including star ratings and helpful votes.
Catalogue refreshes typically run weekly or monthly depending on your requirements, as manufacturer product lines change infrequently. Store locator data can be queried at a higher frequency.
Yes. We provide a sample run covering a subset of products and nutritional profiles during the scoping phase, allowing you to validate the schema before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue extraction or continuous monitoring of nutritional formulations, we build and operate the pipeline. Tell us your requirements.
