We extract pet supply listings, multi-buy discounts, nutritional compositions, and stock metrics from Bitiba. 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 bitiba.co.uk. All fields typed and schema-versioned.
"product_id": "847291", "title": "Royal Canin Size Maxi Adult", "brand": "Royal Canin", "animal_type": "Dog", "price": 44.99, "currency": "GBP", "in_stock": true, "weight_variant": "15 kg"
| # | product_id | title | brand | category | sub_category | animal_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Offers objects from bitiba.co.uk. All fields typed and schema-versioned.
"product_id": "847291", "base_price": 54.99, "discount_price": 44.99, "multi_buy_qty": 2, "multi_buy_price": 86.0, "price_per_kg": 3.0, "currency": "GBP", "price_timestamp": "2026-05-12T09:14:00Z"
| # | product_id | base_price | discount_price | discount_pct | multi_buy_qty | multi_buy_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ingredients & Nutrition objects from bitiba.co.uk. All fields typed and schema-versioned.
"product_id": "847291", "ingredients_list": "Dehydrated poultry protein, maize, maize flour, animal fats, wheat...", "protein_pct": 26.0, "fat_pct": 17.0, "fibre_pct": 1.2, "ash_pct": 6.6, "calories_per_100g": 397
| # | product_id | ingredients_list | additives | analytical_constituents | protein_pct | fat_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from bitiba.co.uk. All fields typed and schema-versioned.
"review_id": "REV-99482", "product_id": "847291", "star_rating": 5, "review_title": "Great value for large breeds", "review_date": "2026-04-18", "helpful_votes": 12, "verified_purchase": true
| # | review_id | product_id | reviewer_name | star_rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Category Taxonomy objects from bitiba.co.uk. All fields typed and schema-versioned.
"category_id": "CAT-204", "category_name": "Dry Dog Food", "parent_category": "Dog", "breadcrumb_path": "Dog > Dry Dog Food > Royal Canin", "product_count": 342, "top_brands": "['Royal Canin', 'James Wellbeloved', "Hill's"]", "scraped_at": "2026-05-12T09:14:33Z"
| # | category_id | category_name | parent_category | breadcrumb_path | product_count | top_brands |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper handles Bitiba's specific e-commerce structure: multi-buy discount tiers, nested nutritional profiles, and weight-based variant mapping.
Title, brand, description, and images scraped across all dog, cat, and small pet categories.
Map parent products to child variants based on weight (e.g., 1kg, 4kg, 12kg bags) with associated pricing.
Capture base price, discount price, bulk-buy tiers, and calculated price-per-kg metrics.
Extract unstructured text into structured fields for protein, fat, fibre, ash, and specific additives.
Track in-stock status, low-stock warnings, and delivery timeframe estimates per variant.
Paginate through customer feedback to extract star ratings, text, and helpful vote counts.
Identify products tagged with clearance, new arrival, or specific promotional campaign badges.
Run continuous pipelines that only emit records when price or stock status changes.
Support for bitiba.co.uk alongside other European Bitiba domains using unified schemas.
Brief in. Clean data out.
Provide target categories, brand lists, or specific product URLs. We design the extraction schema.
We configure Scrapy crawlers, handle Bitiba's pagination, and map the nutritional data structures.
Schema validation, price-per-kg logic checks, and null-rate monitoring before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Discount pet retailers use dynamic frontend frameworks. Here is how we ensure reliable data collection.
Bitiba loads bulk discount pricing and price-per-kg calculations dynamically. We use Playwright to render the full DOM and capture these specific pricing tiers before extraction.
Ingredients and analytical constituents are often stored as raw HTML blocks. We apply regex and NLP parsing to normalise this into clean percentage values for protein, fat, and ash.
To prevent IP bans and access the correct regional pricing, we route requests through UK-based residential proxies with appropriate browser fingerprinting.
Pet food pricing is heavily dependent on bag size. Our pipeline maps the relationship between weight variants and their specific multi-buy discount structures.
We handle Bitiba's specific pagination logic to ensure complete extraction of categories, preventing missed products deep in the catalogue.
Pet supply retailers monitor Bitiba's discount tiers and multi-buy offers to adjust their own pricing strategies.
Pet food manufacturers track how their products are priced, discounted, and positioned on discount retail platforms.
Analysts track product availability and review velocity to measure demand for grain-free or specialised pet diets.
Retailers analyse Bitiba's catalogue depth across specific animal categories to identify gaps in their own offerings.
Economic researchers monitor price-per-kg changes over time to track inflation in the pet care sector.
Brands aggregate customer reviews to identify palatability issues or packaging complaints.
"Bitiba holds critical pricing signals for the European pet care market, but extracting multi-tier bulk discounts requires dedicated infrastructure."
Most teams underestimate the complexity of scraping discount pet retailers. Capturing dynamic multi-buy pricing, regional stock variations, and nested nutritional data requires residential proxies and full JavaScript execution. DataFlirt handles the extraction layer so your engineers can focus on pricing strategy.
Everything supported by our bitiba.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 retry logic. Playwright executes JavaScript to expose multi-buy discount tiers.
UK residential proxies ensure we view the catalogue exactly as a local consumer does, avoiding regional blocks.
Pipelines run on AWS Lambda. Airflow handles scheduling and dependency management for daily catalogue refreshes.
Data delivered to where your team already works — no new tooling required.
About bitiba.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping public product and pricing data is generally permissible. DataFlirt extracts only public information and does not bypass authentication to access user accounts or loyalty data.
Yes. We extract both the displayed price-per-kg and calculate it independently based on the base price and variant weight to ensure data accuracy.
Our pipeline captures the base price, the discounted price, and the required quantity to trigger the discount, outputting these as structured fields.
We capture the in-stock status and any low-stock warnings displayed on the product page for each specific weight variant.
We typically configure Bitiba pipelines for daily refreshes, but hourly tracking can be set up for specific high-priority SKUs.
Yes. We use text parsing to convert raw HTML ingredient blocks into structured percentage values for protein, fat, fibre, and ash.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily pricing feed or a full catalogue extraction of pet food ingredients — we scope, build, and operate the infrastructure.
