We extract pet food specifications, ingredient breakdowns, feeding guides, and Vet Life diets from Farmina. 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 farmina.com. All fields typed and schema-versioned.
"product_id": "FARM-ND-092", "title": "N&D Prime Boar & Apple Adult", "product_line": "N&D Prime", "animal_type": "Dog", "life_stage": "Adult", "breed_size": "Medium & Maxi"
| # | product_id | sku | title | product_line | diet_type | life_stage |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Ingredients & Composition objects from farmina.com. All fields typed and schema-versioned.
"product_id": "FARM-ND-092", "ingredients_list": "Boar (22%), dehydrated boar protein (20%), apple (9%)...", "fresh_meat_pct": 22.0, "vitamins": "['Vitamin A', 'Vitamin D3', 'Vitamin E']", "minerals": "['Zinc', 'Manganese', 'Iron']", "antioxidants": "['Tocopherol extracts from vegetable oils']"
| # | product_id | ingredients_list | fresh_meat_pct | dehydrated_meat_pct | carbohydrates | vitamins |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Guaranteed Analysis objects from farmina.com. All fields typed and schema-versioned.
"product_id": "FARM-ND-092", "crude_protein": "34.00%", "crude_fat": "18.00%", "moisture": "9.00%", "calcium": "1.10%", "omega_3": "0.90%", "dha": "0.50%"
| # | product_id | crude_protein | crude_fat | crude_fibre | moisture | crude_ash |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Feeding Guidelines objects from farmina.com. All fields typed and schema-versioned.
"product_id": "FARM-ND-092", "animal_weight_kg": 10.0, "daily_ration_min_g": 90, "daily_ration_max_g": 150, "energy_value_kcal_kg": 3995, "cup_weight_g": 105
| # | product_id | animal_weight_kg | daily_ration_min_g | daily_ration_max_g | transition_period_days | energy_value_kcal_kg |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pet Care & Vet Life objects from farmina.com. All fields typed and schema-versioned.
"product_id": "FARM-VL-014", "prescription_required": true, "therapeutic_indication": "Management of struvite urolithiasis.", "treatment_duration": "5 to 12 weeks for dissolution of struvite stones.", "clinical_studies": "Urine pH control via added calcium sulphate.", "vet_recommendations": "Consult a veterinarian before use."
| # | product_id | prescription_required | therapeutic_indication | contraindications | treatment_duration | clinical_studies |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Farmina scraper parses complex nutritional tables, normalises feeding guides, and tracks formulation changes across regional variants.
Title, SKUs, and complete product line mappings including N&D Prime, Ocean, Pumpkin, Quinoa, and Ancestral Grain.
Extract percentages of raw materials, isolating fresh versus dehydrated meat content from unstructured ingredient strings.
Structured capture of crude protein, fat, ash, moisture, and specific omega fatty acid concentrations.
Daily rations mapped to pet weight and life stage, converted from HTML tables into flat relational data.
Detailed breakdown of added vitamins, provitamins, trace elements, and sensory additives per kg.
Capture prescription diet indications, contraindications, and recommended treatment durations.
Bypass geo-redirects to scrape farmina.com/us, /uk, /it, and other regional variations with localised formulations.
Standardised extraction of Kcal/kg and MJ/kg energy values across all dry and wet food product lines.
Track recipe modifications and guaranteed analysis adjustments over time using hash-based diffing.
Brief in. Clean data out.
Provide target regions, product lines, or specific animal types. We design the extraction schema together.
We configure Scrapy / Playwright crawlers and residential proxies to handle Farmina's geo-routing.
Schema validation, unit normalisation checks, and ingredient null-rate monitoring before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting precise nutritional data requires navigating geo-redirects and unstructured text. Here is how we maintain pipeline stability.
Farmina forces regional redirects based on IP address. We use targeted residential proxies to ensure we extract the exact formulation and sizing for your target market, preventing unwanted redirects to the global site.
Pet food ingredient lists are dense paragraphs. We apply regex and NLP parsing to separate individual ingredients, extract percentage values, and classify additives into distinct schema fields.
Feeding guides are displayed as complex HTML matrices cross-referencing pet weight and daily rations. Our parsers flatten these into relational rows, making them immediately queryable in SQL.
Different regional sites use lbs/oz or kg/g. We extract the raw values and provide normalised metric fields alongside them to ensure consistency across your database.
Pet food manufacturers silently update formulations. We maintain a hash index of ingredient lists and guaranteed analyses, pushing alerts or diffs the moment a recipe changes.
Pet food brands compare protein, fat, and ash ratios against Farmina's N&D lines to position their own products.
Health tracking applications feed ingredient datasets and caloric values into their systems to generate custom diet plans.
eCommerce stores populate their product pages with accurate feeding guides, guaranteed analysis, and high-resolution kibble images.
Analysts track the prevalence of trending ingredients like pumpkin, quinoa, or ancestral grains across premium pet food lines.
Track MSRP across different weight variants and regions to optimise retail pricing strategies.
Aggregate Vet Life clinical indications and contraindications for clinical reference tools and veterinary software.
"Farmina's nutritional data is highly detailed, but locked within regional silos and complex feeding tables. We extract it into queryable nutritional intelligence."
Extracting pet food specifications requires more than simple HTTP requests. Farmina uses strict geo-IP routing, complex HTML tables for feeding guides, and unstructured ingredient lists. DataFlirt handles the proxies, parsing logic, and schema normalisation so your data science team can focus on analysis.
Everything supported by our farmina.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 handles JavaScript rendering for dynamic variant selection.
We maintain pools of residential proxies to bypass strict geo-IP routing, ensuring accurate regional data extraction.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About farmina.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Extracting publicly available nutritional information, ingredient lists, and feeding guides is permissible. We do not extract personal user data from the Farmina Genius app or bypass authenticated veterinary consults.
Farmina routes users based on IP. We configure our pipeline to use residential proxies located in your target region (e.g., US, UK, Italy) to prevent redirects and capture the correct local formulations.
Yes. Feeding guides are often displayed as HTML tables cross-referencing pet weight with daily rations. We parse these matrices into flat relational rows, making them easy to query.
Yes. We use hash-based diffing on the ingredient lists and guaranteed analysis fields. If Farmina alters a recipe, the pipeline flags the change in the next run.
Yes. We capture all public clinical indications, contraindications, treatment durations, and veterinary recommendations listed on the Vet Life product pages.
We provide both the raw unstructured string as it appears on the site, and a parsed array where ingredients and their respective percentages (if listed) are separated.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous tracking of formulation changes across regions — we scope, build, and operate the pipeline.
