We extract pet supply catalogues, ingredient lists, pricing tiers, zooPoints, and customer reviews from Zooplus. 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 Data objects from zooplus.com. All fields typed and schema-versioned.
"sku": "85493.1", "title": "Concept for Life Large Adult", "brand": "Concept for Life", "category": "Dog Food", "animal_type": "Dog", "ingredients": "25% fresh poultry meat, rice, poultry protein...", "analytical_constituents": "{"protein": 26.0, "fat": 14.0, "ash": 6.5}", "product_url": "https://www.zooplus.com/shop/dogs/dry_dog_food/concept_for_life/large/85493"
| # | sku | title | brand | category | sub_category | animal_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Offers objects from zooplus.com. All fields typed and schema-versioned.
"sku": "85493.1", "base_price": 45.99, "unit_price": 3.83, "unit_measure": "kg", "currency": "EUR", "saver_plan_price": 43.69, "zoopoints_earned": 45, "in_stock": true
| # | sku | base_price | unit_price | unit_measure | currency | discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from zooplus.com. All fields typed and schema-versioned.
"review_id": "rev_948210", "sku": "85493.1", "rating": 5, "review_date": "2023-10-14", "review_title": "Great for my Shepherd", "review_text": "Digestion improved noticeably within two weeks.", "pet_type": "German Shepherd", "helpful_votes": 12, "verified_purchase": true
| # | review_id | sku | reviewer_name | rating | review_date | review_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Category & Search objects from zooplus.com. All fields typed and schema-versioned.
"keyword": "grain-free dog food", "position": 3, "sku": "11223.4", "title": "Wolf of Wilderness Adult", "price": 54.99, "rating": 4.6, "review_count": 3420, "badges": "['Grain-Free', 'High Protein']", "is_promoted": false
| # | keyword | category_path | position | sku | title | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Brand Intelligence objects from zooplus.com. All fields typed and schema-versioned.
"brand_name": "Royal Canin", "total_products": 245, "average_price": 58.5, "top_categories": "['Dog Food', 'Cat Food']", "average_rating": 4.7, "review_volume": 145020, "active_promotions": "['10% off Breed Nutrition']"
| # | brand_name | brand_url | total_products | average_price | top_categories | average_rating |
|---|---|---|---|---|---|---|
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Our Zooplus scraper navigates regional storefronts, parses complex nutritional tables, and resolves multi-pack unit pricing. We handle the proxy rotation and rate limiting so you get clean data.
SKU-level extraction across dog, cat, small pet, fish, and bird categories. We map parent-child variant relationships for multi-packs.
Extract analytical constituents, additives, and ingredient lists into structured key-value arrays rather than raw HTML strings.
Track base prices, unit pricing per kg or litre, bulk discounts, and Saver Plan tier pricing across the entire catalogue.
Capture loyalty points earned per product to model customer retention incentives and promotional depth.
Extract customer reviews, star ratings, and pet-specific feedback across paginated endpoints for sentiment analysis.
Monitor out-of-stock items, restock dates, and variant availability by specific European region.
Extract data from zooplus.de, zooplus.co.uk, zooplus.fr, and 20 other European storefronts with localised pricing.
Monitor organic positioning for high-volume pet food and accessory keywords to audit brand visibility.
Run daily or weekly pipelines. We hash records and only deliver changed fields to reduce your downstream processing load.
Brief in. Clean data out.
Provide target categories, brands, or search terms. We design the extraction schema together.
We configure Scrapy spiders, European proxy pools, and rate-limit handling for zooplus.com.
Schema validation, unit price normalisation, and null-rate checks before deployment.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting retail data requires parsing unstructured product descriptions and bypassing regional rate limits. Here is how we build resilience into the pipeline.
Zooplus employs regional blocking and rate limiting. We route requests through EU-based residential proxies to maintain access and extract correct local pricing without triggering security challenges.
Pet food comes in multiple weight variants and multi-packs. We map parent-child relationships and calculate exact unit pricing per kg or litre to ensure accurate competitor comparisons.
Ingredients and analytical constituents are often stored as raw HTML blobs. We use custom regex pipelines to parse these into clean JSON key-value pairs for protein, fat, and ash percentages.
Zooplus operates over 20 regional sites. We normalise currencies, translations, and SKU mappings to provide a unified pan-European dataset for cross-border analysis.
To minimise compute and downstream load, we hash SKU records and only push updates when price, stock availability, or zooPoints values change.
Pet retailers track Zooplus pricing, bulk discounts, and Saver Plan rates to adjust their own pricing strategies.
FMCG brands monitor shelf-space, search positioning, and promotional visibility across Zooplus regional sites.
Analyse ingredient lists and analytical constituents to identify trends in grain-free, high-protein, or hypoallergenic pet foods.
Retail buyers analyse catalogue depth, new product introductions, and out-of-stock rates to optimise their own inventory.
NLP models process Zooplus reviews to extract product feedback based on specific pet breeds or dietary requirements.
Distributors compare pricing and availability across zooplus.de, zooplus.co.uk, and zooplus.fr to identify regional pricing inefficiencies.
"Zooplus holds the most comprehensive pet food ingredient and pricing dataset in Europe, but extracting structured nutritional profiles requires specialised parsing."
Extracting pet supply data involves complex variant mapping, multi-pack unit price calculations, and parsing unstructured HTML blobs into clean nutritional arrays. DataFlirt manages the infrastructure, proxy rotation, and parsing logic so your team receives analytics-ready data without the maintenance overhead.
Everything supported by our zooplus.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 the bulk crawl orchestration, while Playwright manages JavaScript execution for dynamic pricing and review hydration.
Localised residential proxies across Germany, UK, France, and Spain ensure accurate regional pricing and bypass geo-blocking.
Airflow manages scheduling and dependencies on AWS ECS. Postgres stores state, ensuring data integrity across millions of SKUs.
Data delivered to where your team already works — no new tooling required.
About zooplus.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and review data from Zooplus is generally permissible under EU and UK law. We do not extract PII or bypass authenticated user areas.
We configure separate spiders for each region (e.g., zooplus.de vs zooplus.co.uk), routing requests through local residential proxies to capture accurate local pricing and language data.
Yes. We use custom regex pipelines to transform unstructured HTML text into clean JSON objects, isolating analytical constituents like protein, fat, and ash percentages.
We extract both the base price and the unit price (e.g., price per kg). For multi-packs, we map the parent-child relationship to ensure accurate price-per-unit comparisons.
Yes. We extract the publicly listed zooPoints earned per item and the standard Saver Plan discount tiers available on the product page.
We can run pricing pipelines at daily or sub-daily frequencies. Our change-detection system ensures you only process records where prices or stock levels have shifted.
Yes. We provide sample exports of up to 1,000 SKUs from your target category to validate schema structure and data quality before signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue extract or continuous price monitoring across European storefronts — we build and operate the pipeline. Tell us what you need.
