We extract dog breed profiles, trait scoring, behavioural guides, and health directories from Dogtime. Delivered as clean JSON, CSV, or Parquet to your warehouse.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Breed Profiles objects from dogtime.com. All fields typed and schema-versioned.
"breed_name": "Golden Retriever", "akc_group": "Sporting Dogs", "height_min_inches": 21.5, "height_max_inches": 24.0, "weight_min_lbs": 55.0, "weight_max_lbs": 75.0
| # | breed_name | akc_group | height_min_inches | height_max_inches | weight_min_lbs | weight_max_lbs |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Trait Ratings objects from dogtime.com. All fields typed and schema-versioned.
"breed_name": "Golden Retriever", "adaptability_score": 4, "all_around_friendliness": 5, "health_grooming_score": 3, "trainability_score": 5, "exercise_needs": 5
| # | breed_name | adaptability_score | all_around_friendliness | health_grooming_score | trainability_score | exercise_needs |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dog Names objects from dogtime.com. All fields typed and schema-versioned.
"name": "Bella", "gender": "Female", "origin": "Italian", "meaning": "Beautiful", "popularity_rank": 3, "starting_letter": "B"
| # | name | gender | origin | meaning | popularity_rank | theme |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Health Conditions objects from dogtime.com. All fields typed and schema-versioned.
"condition_name": "Hip Dysplasia", "breed_susceptibility": "['Golden Retriever', 'German Shepherd', 'Labrador Retriever']", "symptoms_list": "['Decreased activity', 'Decreased range of motion', 'Lameness in the hind end']", "treatment_options": "['Weight reduction', 'Exercise restriction', 'Physical therapy', 'Surgery']", "severity_index": 4, "article_url": "https://dogtime.com/dog-health/hip-dysplasia"
| # | condition_name | breed_susceptibility | symptoms_list | diagnostic_methods | treatment_options | prevention_tips |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Editorial Content objects from dogtime.com. All fields typed and schema-versioned.
"article_id": "dt-art-8492", "title": "How to Stop Your Dog from Jumping Up", "author_name": "Dogtime Staff", "publish_date": "2024-02-15T08:00:00Z", "category": "Dog Training", "tags": "['Behavior', 'Training', 'Jumping']"
| # | article_id | title | author_name | publish_date | category | tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Dogtime encodes breed data in DOM elements and CSS-based star ratings. We convert visual indicators into normalised numerical datasets, ready for immediate database ingestion.
Capture physical dimensions, lifespan ranges, and AKC group classifications for over 300 recognised breeds.
Parse CSS classes and DOM structures to convert 5-star visual trait ratings into strictly typed integer fields.
Extract known health predispositions, shedding levels, and grooming frequency requirements per breed.
Scrape thousands of dog names, including origin, meaning, and thematic categorisation.
Extract full text, author metadata, and publication dates from training guides and behavioural articles.
Extract high-resolution image URLs for breed galleries, resolving CDN links to their source.
Preserve category hierarchies and tag relationships for all editorial content.
Hash-based diffing ensures you only receive updates when a breed profile or article is modified.
Run pipelines on a weekly or monthly cadence to capture new articles and breed updates.
Brief in. Clean data out.
Select target categories: breed profiles, dog names, or editorial content. We define the exact schema.
We configure extraction logic, handling DOM parsing for visual ratings and pagination traversal.
Schema validation ensures all integer ratings fall within the 1-5 range and text fields are properly encoded.
Data is pushed to your requested destination in JSON, CSV, or Parquet format.
Converting a consumer-facing media site into a relational database requires specific parsing strategies.
Dogtime displays breed traits using star icons driven by CSS classes. Our parsers map these classes directly to 1-5 integer values, outputting clean numerical data for your models.
Physical characteristics are often embedded in descriptive text. We use regex pattern matching to extract minimum and maximum height and weight values, converting them into strict float types.
Editorial content spans hundreds of paginated category pages. We orchestrate comprehensive crawls to ensure complete capture of historical articles without missing nested links.
We capture breadcrumb trails and internal tags, allowing you to reconstruct the site's category hierarchy in your own database.
We bypass thumbnail versions and extract the highest available resolution image URLs from the underlying CDN paths.
Actuaries use breed-specific health predispositions and lifespan data to adjust premium calculations.
Pet adoption platforms match users with ideal breeds based on adaptability, energy levels, and apartment suitability scores.
Researchers aggregate breed trait data to study correlations between physical characteristics and specific health conditions.
App developers seed their databases with comprehensive dog name lists and basic breed profiles for user onboarding.
Publishers monitor trending topics in pet care and training to inform their own editorial strategies.
Pet food manufacturers analyse weight ranges and energy levels to formulate breed-specific nutritional guidelines.
"Dogtime holds the most comprehensive, categorically scored database of canine traits and health profiles on the web - essential for any pet-tech application."
Building pet recommendation engines or insurance risk models requires clean, normalised breed data. We extract Dogtime's visual star ratings and unstructured text into strictly typed schemas, handling the taxonomy mapping so your data science teams receive production-ready datasets without writing a single parser.
Everything supported by our dogtime.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.
High-throughput asynchronous crawling handles Dogtime's static content rapidly, minimising execution time.
Python-based item pipelines clean text, cast data types, and enforce schema constraints before delivery.
Prometheus and Grafana monitor extraction yields, alerting on schema drift or missing fields.
Data delivered to where your team already works — no new tooling required.
About dogtime.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our crawlers traverse the primary breed index, capturing profiles for all recognised breeds, including mixed breeds and hybrids listed on the site.
Dogtime uses CSS classes to display star ratings. Our parsers map these specific classes to integer values ranging from 1 to 5, providing you with quantifiable metrics rather than visual indicators.
Yes. We can extract the complete directory of dog names, including associated metadata such as origin, meaning, and popularity rankings.
Breed characteristics rarely change, making them suitable for a one-off extraction. However, editorial content and new breed additions can be captured via monthly or quarterly scheduled runs.
Yes. Cattime operates on an identical platform architecture. We can deploy the exact same pipeline configuration to extract cat breed profiles and feline health data.
Yes. While we typically extract the cleaned text into a 'body_text' field, we can also provide the raw HTML payload if you need to preserve specific formatting or embedded links.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you are building a recommendation engine or seeding a veterinary database, we deliver the exact breed parameters you require. Contact us to define your schema.
