We extract pet supplies catalogues, pricing signals, multi-buy offers, and nutritional metadata from Petplanet. 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 Listings objects from petplanet.co.uk. All fields typed and schema-versioned.
"sku": "PP12345", "title": "Royal Canin Maxi Adult Dry Dog Food", "brand": "Royal Canin", "price": 49.99, "stock_status": "In Stock", "weight_options": "15kg", "category": "Dog Food"
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Offers objects from petplanet.co.uk. All fields typed and schema-versioned.
"sku": "PP12345", "price": 49.99, "list_price": 55.99, "discount_pct": 10.7, "multi_buy_offer": "Buy 2 for £90", "currency": "GBP", "price_timestamp": "2024-03-12T08:14:00Z"
| # | sku | price | list_price | discount_pct | multi_buy_offer | bulk_discount |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from petplanet.co.uk. All fields typed and schema-versioned.
"review_id": "REV-99281", "sku": "PP12345", "rating": 5, "review_date": "2024-02-18", "review_text": "Great food, my dog loves it.", "verified_buyer": true
| # | review_id | sku | reviewer_name | rating | review_date | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Nutritional & Specs objects from petplanet.co.uk. All fields typed and schema-versioned.
"sku": "PP12345", "life_stage": "Adult", "breed_size": "Maxi", "diet_type": "Standard", "flavour": "Chicken", "analytical_constituents": "Protein: 26.0%, Fat: 17.0%"
| # | sku | ingredients | analytical_constituents | feeding_guide | additives | life_stage |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Category & Brand objects from petplanet.co.uk. All fields typed and schema-versioned.
"category_name": "Dry Dog Food", "brand_name": "Royal Canin", "brand_url": "/brands/royal-canin", "breadcrumb": "Home > Dogs > Dog Food > Dry Dog Food", "parent_category": "Dog Food", "scraped_at": "2024-03-12T08:15:22Z"
| # | category_id | category_name | brand_name | brand_url | product_count | breadcrumb |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our infrastructure targets the specific quirks of Petplanet: multi-buy promotional parsing, complex nutritional tables, dynamic stock indicators, and UK-specific delivery surcharges.
Title, description, weight options, flavour profiles, and every metadata field Petplanet surfaces, scraped at the SKU level.
Capture base price, list price, and complex multi-buy promotional text. Timestamped per crawl for precise price tracking.
Track in-stock status, low stock warnings, and specific delivery surcharges applied to bulky items like kennels.
Extract and normalise analytical constituents, ingredients lists, and feeding guides into queryable JSON fields.
Map individual SKUs back to parent brands and category breadcrumbs for accurate market share analysis.
Extract review text, star ratings, and verified buyer flags across paginated review sections.
Resolve parent products into individual weight and colour variants, capturing specific pricing for each option.
Run continuous pipelines that only push diffs when prices, stock, or promotions change. Reduces downstream compute.
UK-based residential proxies and fingerprint spoofing ensure uninterrupted access to the Petplanet catalogue.
Brief in. Clean data out.
Provide category URLs, brand names, or specific SKUs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management tailored for UK retail targets.
Schema validation, null-rate checks, and price-outlier detection run before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting clean data from legacy eCommerce platforms requires specific parsing strategies. Here is how we normalise Petplanet data.
Petplanet serves UK-specific pricing and stock. Our crawlers use UK residential ISP proxies to ensure accurate geographical pricing and prevent IP blocking.
Pet food ingredients and analytical constituents are often stored as unstructured text blocks. We use regex and NLP to parse these into structured, queryable key-value pairs.
Offers like 'Buy 2 for £90' alter the effective unit price. We extract the raw promotional text and calculate the implied unit discount for your pricing models.
A single product page often contains multiple SKUs based on bag weight or bed size. We iterate through all variant selectors to extract specific prices and stock levels for every permutation.
For large catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, providing a clean changelog rather than full re-dumps.
UK pet retailers track Petplanet pricing and multi-buy offers to adjust their own pricing strategies dynamically.
Pet food brands audit their product representation, stock availability, and promotional visibility across the Petplanet catalogue.
Market researchers aggregate analytical constituents and ingredient lists to identify trends in grain-free or high-protein pet diets.
Product teams analyse customer reviews to identify common complaints regarding palatability, packaging, or delivery issues.
Analysts correlate out-of-stock indicators across major brands to predict supply chain bottlenecks in specific categories.
Machine learning teams use structured pet product metadata to train recommendation engines and search algorithms.
"Petplanet holds a critical segment of the UK pet supply market. Extracting their catalogue reveals precise pricing dynamics and nutritional trends."
Building a reliable scraper for UK eCommerce sites requires handling specific promotional structures, regional proxies, and unstructured product descriptions. DataFlirt manages this complexity, delivering clean, normalised data so your team can focus on market analysis rather than fixing broken selectors.
Everything supported by our petplanet.co.uk 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 and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across the UK. Rotation happens per-request with sticky sessions where required to maintain correct regional state.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About petplanet.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Petplanet is generally permissible. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls.
We route all requests through UK-based residential proxies to ensure Petplanet serves the correct regional pricing, stock availability, and delivery surcharges.
Yes. We use custom parsing logic to extract unstructured nutritional blocks into clean key-value pairs for analytical constituents and ingredients.
Full catalogue refreshes can be configured at a daily or weekly cadence. We use change detection to process updates efficiently and minimise latency.
Yes. We extract the exact promotional text and map it to the relevant SKUs, allowing your pricing models to calculate effective unit costs.
Our packages start at defined category or brand lists with weekly delivery. Contact us with your specific volume requirements for a scoped quote.
Yes. We provide a sample run of up to 500 SKUs as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous price monitoring across thousands of pet products. Tell us what you need.
