We extract pet toy specifications, sizing guides, rubber strength ratings, and dog size recommendations from KONG Company. 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 Products objects from kongcompany.com. All fields typed and schema-versioned.
"sku": "KNG-1234", "title": "KONG Classic", "category": "Dog Toys", "rubber_type": "Classic Red", "dog_size": "Large", "weight_limit": "15-30 kg", "features": "['Mentally stimulating', 'Unpredictable bounce']", "image_urls": "['https://example.com/kong.jpg']"
| # | sku | title | category | sub_category | rubber_type | dog_size |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Sizing Guides objects from kongcompany.com. All fields typed and schema-versioned.
"sku": "KNG-1234", "product_name": "KONG Classic", "size_variant": "Large", "dog_weight_min": 15.0, "dog_weight_max": 30.0, "dimensions": "10.16 x 6.99 cm", "breed_recommendations": "['Labrador', 'Golden Retriever']", "temperament": "Average Chewers"
| # | sku | product_name | size_variant | dog_weight_min | dog_weight_max | dimensions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Materials objects from kongcompany.com. All fields typed and schema-versioned.
"sku": "KNG-1234", "primary_material": "Natural Rubber", "durability_rating": "High", "fda_approved": true, "dishwasher_safe": true, "origin_country": "USA", "care_instructions": "Top-rack dishwasher safe", "warranty": "60-day satisfaction"
| # | sku | primary_material | durability_rating | fda_approved | dishwasher_safe | origin_country |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Treat Recipes objects from kongcompany.com. All fields typed and schema-versioned.
"recipe_id": "REC-092", "product_compatibility": "['KONG Classic', 'KONG Extreme']", "title": "Peanut Butter Delight", "ingredients": "['Peanut butter', 'Kibble', 'Yogurt']", "prep_time": "5 mins", "difficulty": "Easy", "calories": 150, "freezing_required": true
| # | recipe_id | product_compatibility | title | ingredients | prep_time | difficulty |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Categories objects from kongcompany.com. All fields typed and schema-versioned.
"category_id": "CAT-001", "name": "Dog Toys", "parent_category": "Dogs", "url": "/dog/toys", "product_count": 142, "meta_title": "Durable Dog Toys | KONG", "meta_description": "Shop KONG dog toys.", "scraped_at": "2026-05-12T09:14:33Z"
| # | category_id | name | parent_category | url | product_count | meta_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our KONG scraper handles the entire product catalogue: toy specifications, dynamic sizing charts, chewing temperaments, and recipe guides — with JavaScript rendering and session management built in.
Title, description, dimensions, weight, images, and every metadata field KONG surfaces — scraped at the SKU level.
Map sizes from XS to XXL, capturing specific weight limits and breed recommendations for each variant.
Capture KONG's proprietary rubber strength indicators: Puppy, Classic, Extreme, and Senior.
Extract rubber composition, FDA approval status, dishwasher safety flags, and country of origin.
Scrape stuffing recipes, ingredient lists, and usage instructions associated with specific toys.
Support for regional KONG sites across North America, Europe, and Asia from a unified schema.
Capture high-resolution product imagery and packaging shots for retail syndication.
Run weekly or monthly pipelines to capture new product launches and discontinued SKUs.
Reconstruct KONG's taxonomy, mapping toys to specific animal types, ages, and play styles.
Brief in. Clean data out.
Provide category URLs or target locales. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for kongcompany.com.
Schema validation, null-rate checks, and sample product records before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting clean retail data requires handling dynamic DOM elements and custom CMS structures. Here is how we ensure data quality.
We manage request concurrency and use datacenter proxies to bypass standard web application firewalls without triggering rate limits on KONG's servers.
KONG product pages use JavaScript to load specific variant data (size, weight limits). We run full Playwright browser sessions to capture data that headless HTTP clients miss.
Our selector strategy uses multiple fallback chains per field — CSS selectors, XPath, and text-pattern matching — so a layout change does not break your data pipeline.
For the product catalogue, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing downstream processing load.
Every run emits structured logs. We alert on null-rate spikes in critical fields like sizing or rubber type, and respond before you notice.
Pet stores and eCommerce platforms sync KONG's official catalogue data to populate their own product pages.
Other pet brands monitor KONG's product matrix, material usage, and new product launches.
Analysts map KONG SKUs to retailer prices across the web to track margin and discount trends.
Researchers analyse pet toy trends, material popularity, and category growth within KONG's offerings.
ML teams use structured pet product datasets to train recommendation engines for pet owners.
Supply chain teams correlate KONG sizes with local breed demographics to optimise store allocations.
"The KONG catalogue contains the industry standard for dog chew temperaments and toy sizing — data that pet retailers need structured."
Most pet retailers rely on outdated vendor spreadsheets or manual data entry. We automate the extraction of KONG's entire product matrix, including variant sizing and rubber strength ratings, delivering clean, structured data directly to your warehouse.
Everything supported by our kongcompany.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, deduplication, and retry logic. Playwright handles JavaScript rendering and interaction flows.
We maintain pools of high-speed proxies. Rotation happens per-request with sticky sessions where required.
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 kongcompany.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product information from kongcompany.com is generally permissible. DataFlirt targets only public, non-authenticated product and sizing data. We do not extract personal data or circumvent authentication walls.
We use Playwright browser sessions to execute JavaScript and trigger variant changes on the product page, capturing the specific sizes, weights, and SKUs for each option.
We support the US, UK, EU, and Asian KONG sites, normalising the data into a unified schema regardless of the source language or region.
Catalogue refreshes typically run weekly or monthly depending on your requirements, completing within a few hours.
Yes. We capture the recipe titles, ingredients, preparation times, and associated KONG toys.
Absolutely. We provide a sample run of up to 50 products as part of the pre-engagement scoping process.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off product catalogue dump or a continuous sync for retail syndication — we scope, build, and operate the pipeline. Tell us what you need.
