We extract ingredient specifications, nutritional analysis, pricing tiers, and feeding guidelines from The Farmer's Dog. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Nutritional Profiles objects from thefarmersdog.com. All fields typed and schema-versioned.
"recipe_name": "Turkey Recipe", "main_protein": "Turkey", "crude_protein_pct": 9.0, "crude_fat_pct": 4.5, "crude_fibre_pct": 1.5, "moisture_pct": 76.0, "caloric_density": "1,150 kcal/kg", "aafco_compliant": true
| # | recipe_name | main_protein | crude_protein_pct | crude_fat_pct | crude_fibre_pct | moisture_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing Permutations objects from thefarmersdog.com. All fields typed and schema-versioned.
"dog_weight_kg": 15.5, "dog_age_months": 36, "activity_level": "Active", "body_condition": "Ideal", "recipe_selection": "Beef & Turkey", "daily_cost": 4.85, "weekly_cost": 33.95, "monthly_subscription_cost": 145.5
| # | dog_weight_kg | dog_age_months | activity_level | body_condition | recipe_selection | daily_cost |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ingredient Data objects from thefarmersdog.com. All fields typed and schema-versioned.
"ingredient_name": "Sweet Potato", "category": "Carbohydrate", "sourcing_origin": "USA", "preparation_method": "Steamed", "nutritional_benefit": "Dietary fibre and vitamins", "usda_certified": true, "human_grade_flag": true
| # | ingredient_name | category | sourcing_origin | preparation_method | nutritional_benefit | recipe_inclusion |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Digest Blog Content objects from thefarmersdog.com. All fields typed and schema-versioned.
"article_id": "digest-4921", "title": "Can Dogs Eat Apples?", "author": "Dr. Sarah Johnson", "publish_date": "2025-08-14", "category": "Nutrition", "read_time_minutes": 4, "tags": "['fruits', 'safe foods', 'snacks']"
| # | article_id | title | author | publish_date | category | read_time_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Feeding Guidelines objects from thefarmersdog.com. All fields typed and schema-versioned.
"recipe_type": "Pork Recipe", "dog_size_category": "Medium", "daily_calories_kcal": 850, "portion_size_grams": 450, "transition_days": 7, "storage_instructions": "Keep frozen. Thaw in refrigerator 24 hours before serving.", "shelf_life_days": 180, "serving_temp": "Room temperature"
| # | recipe_type | dog_size_category | daily_calories_kcal | portion_size_grams | transition_days | storage_instructions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
The Farmer's Dog hides pricing behind a stateful quiz. Our infrastructure automates profile permutations to extract complete pricing matrices, ingredient lists, and nutritional specifications.
Programmatic generation of dog profiles across thousands of weight, age, breed, and activity permutations to map the entire pricing matrix.
Capture exact guaranteed analysis metrics including crude protein, fat, fibre, and moisture percentages for every recipe variant.
Extract human-grade ingredient specifications, sourcing details, and vitamin blends mapped to specific recipes.
Track daily, weekly, and monthly subscription costs based on specific caloric requirements and recipe selections.
Extract complete veterinary articles, feeding guides, and pet health content from the Digest blog corpus.
Calculate cost-per-calorie metrics by extracting exact kcal/kg values across different protein options.
Monitor pricing adjustments, recipe formula updates, and new ingredient additions with hash-based diffing.
Full Playwright session execution to handle the React-based frontend and capture dynamic JSON payloads.
Run one-off profile matrices or configure weekly pipeline runs to track pricing changes over time.
Brief in. Clean data out.
Provide dog profile parameters, target recipes, or blog categories. We design the extraction schema together.
We configure Playwright crawlers, stateful session management, and proxy rotation for thefarmersdog.com.
Schema validation, null-rate checks, and pricing logic verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
The Farmer's Dog requires multi-step user interaction to reveal pricing. Here is how we extract this data programmatically.
Pricing is only generated after completing a 15-step questionnaire. Our crawlers maintain session cookies and local storage state across the entire flow, simulating human input delays to avoid triggering rate limits.
To build a complete pricing model, we iterate through thousands of combinations of dog weight, age, breed, body condition, and activity level, capturing the resulting daily and weekly cost outputs.
Instead of parsing complex DOM structures, our Playwright implementation intercepts the underlying JSON responses from the frontend API, ensuring clean extraction of nutritional data and ingredient lists.
We use US-based residential ISP proxies to avoid IP bans during high-volume profile generation, distributing requests to mimic organic user traffic patterns.
DTC brands frequently run A/B tests on their funnels. Our extraction logic relies on stable data attributes and API response schemas rather than fragile CSS classes.
Pet food brands map DTC pricing models across different dog sizes to optimise their own subscription tiers and customer acquisition costs.
R&D teams analyse guaranteed analysis metrics and ingredient lists to formulate competing fresh pet food recipes.
Analysts track recipe additions, pricing adjustments, and marketing claims to evaluate the fresh pet food category growth.
Pet health platforms aggregate vet-approved articles and feeding guidelines from the Digest blog to train internal knowledge bases.
Supply chain analysts monitor human-grade ingredient usage and sourcing claims across premium pet food portfolios.
Marketing teams analyse the quiz funnel structure and required data points to optimise their own onboarding flows.
"The Farmer's Dog obscures its pricing behind a multi-step quiz. Extracting accurate cost data requires programmatic profile generation and session state management."
Extracting data from direct-to-consumer platforms requires handling single-page application routing and stateful questionnaire flows. DataFlirt automates profile generation across thousands of breed, weight, and age permutations to map complete pricing matrices. You receive the structured output without managing the complex session logic or proxy rotation.
Everything supported by our thefarmersdog.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.
Playwright executes JavaScript, manages local storage, and intercepts background API requests to extract data without parsing complex DOM structures.
We maintain cookie jars and session state across multi-step questionnaire flows, ensuring valid pricing payloads are generated at the end of the funnel.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management for large-scale matrix permutations.
Data delivered to where your team already works — no new tooling required.
About thefarmersdog.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly accessible data, including generated pricing from public quiz funnels and blog content, is generally permissible. DataFlirt does not bypass authentication walls or extract personally identifiable information (PII) from user accounts. Clients should consult legal counsel for their specific use cases.
We use Playwright to programmatically interact with the frontend, simulating the required inputs (weight, breed, age) to complete the funnel and capture the final pricing payload generated by the application.
Yes. You provide the parameters (e.g., weights from 5kg to 50kg in 1kg increments across 5 activity levels), and we orchestrate the pipeline to generate and extract the exact cost for every permutation.
We can run permutation pipelines on a weekly or monthly cadence to detect any adjustments to subscription costs or recipe formulations.
Yes. We can extract the full corpus of articles, including author metadata, publication dates, tags, and the complete text body.
Our minimum engagement typically starts with a defined permutation matrix (e.g., 5,000 profile combinations) delivered as a one-off export or scheduled weekly.
Yes. We provide a sample run of up to 50 profile permutations or 20 blog articles during the scoping process to validate the schema and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off extraction of the pricing matrix or continuous monitoring of recipe formulations. Tell us what you need.
