We extract product specifications, nutritional macros, flash sales, and flavour variant availability from myprotein.it. 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 myprotein.it. All fields typed and schema-versioned.
"sku": "10530943", "title": "Impact Whey Protein", "category": "Proteine", "price": 24.99, "flavour": "Cioccolato Naturale", "size": "1kg", "in_stock": true
| # | sku | title | category | price | list_price | flavour |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Flash Sales objects from myprotein.it. All fields typed and schema-versioned.
"sku": "10530943", "base_price": 34.99, "sale_price": 24.99, "discount_pct": 28, "active_code": "SCONTO40", "price_per_kg": 24.99
| # | sku | base_price | sale_price | discount_pct | active_code | timer_end |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Nutrition Profiles objects from myprotein.it. All fields typed and schema-versioned.
"sku": "10530943", "calories": 103, "protein": 21.0, "carbs": 1.0, "fats": 1.9, "sugar": 1.0
| # | sku | calories | protein | carbs | fats | sugar |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Variant Matrix objects from myprotein.it. All fields typed and schema-versioned.
"parent_sku": "10530943", "child_sku": "10530943-CHOC-1KG", "flavour": "Cioccolato Naturale", "weight_g": 1000, "servings": 40, "stock_status": "In Stock"
| # | parent_sku | child_sku | flavour | weight_g | servings | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from myprotein.it. All fields typed and schema-versioned.
"review_id": "REV-98231", "sku": "10530943", "rating": 5, "author": "Marco R.", "date": "2026-03-12", "verified": true
| # | review_id | sku | rating | author | date | verified |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Myprotein scraper handles dynamic pricing, flash sale banners, complex flavour matrices, and nutritional tables across the entire Italian storefront.
Extract titles, categories, images, and descriptions for every supplement, clothing item, and accessory on myprotein.it.
Capture base prices, promotional prices, active discount codes, and flash sale countdown timers per variant.
Extract protein, carbohydrates, fats, calories, and micronutrients per serving and per 100g.
Map complex combinations of flavours and sizes to their specific SKUs, prices, and stock levels.
Extract customer reviews, star ratings, verified purchase flags, and helpful votes across all product pages.
Track out of stock statuses for specific flavour and size combinations to monitor supply chain gaps.
Parse full ingredient lists and extract dietary flags including vegan, gluten free, and allergen warnings.
Capture sitewide and product specific discount codes advertised in banners and popups.
Run daily catalogue updates or high frequency hourly polls during major flash sale events like Black Friday.
Brief in. Clean data out.
Provide categories, search terms, or specific product URLs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, Italian proxy rotation, and session management.
Schema validation, null rate checks, and price outlier detection before full launch.
JSON or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Supplement sites use dynamic rendering for pricing and stock. Here is how we extract accurate data at scale.
Myprotein serves localised pricing and blocks data centre IPs. Our crawlers use Italian residential ISP proxies to ensure accurate local pricing and prevent IP bans.
Prices and discount codes on myprotein.it are often injected via JavaScript. We run full Playwright browser sessions to capture the exact price a user sees.
A single whey protein page can have hundreds of variants. We iterate through the DOM matrix to extract the precise price, macro profile, and stock status for every combination.
Supplement pricing changes rapidly during sales. We configure burst capacity to scrape the entire catalogue within minutes when flash sales go live.
We monitor for structural changes to nutritional tables and pricing widgets, updating selectors automatically before they cause data loss.
Sports nutrition brands track Myprotein pricing, discount codes, and price per serving to adjust their own promotional strategies.
Formulators extract macro profiles and ingredient lists to benchmark their products against market leaders.
Retailers analyse the frequency and depth of Myprotein flash sales to understand consumer discount expectations.
Analysts monitor out of stock statuses for specific flavours and sizes to identify supply chain bottlenecks or high demand trends.
Marketing teams mine product reviews to identify flavour preferences, mixability complaints, and packaging issues.
Product managers analyse category density and flavour availability to find underserved niches in the Italian market.
"Supplement pricing is highly dynamic. Without structured data on variants and flash sales, you are guessing at market positioning."
Extracting data from Myprotein requires handling complex variant matrices, JavaScript injected pricing, and localised Italian content. DataFlirt manages the proxy rotation and schema maintenance so you receive clean nutritional and pricing data directly to your warehouse.
Everything supported by our myprotein.it 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 for dynamic pricing widgets and variant selection.
We route requests through Italian residential proxies to ensure accurate local pricing and bypass geo-fencing restrictions.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling for high frequency flash sale polling.
Data delivered to where your team already works — no new tooling required.
About myprotein.it scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, nutritional data, and reviews is generally permissible. DataFlirt extracts only public data and does not bypass authentication walls or extract personal user data.
We use Italian residential ISP proxies to ensure the site serves the correct regional pricing, language, and stock availability.
Yes. Our pipeline iterates through the variant matrix on each product page, capturing the specific price, stock status, and nutritional profile for every combination.
We can configure burst capacity to poll specific categories or SKUs at high frequency during major promotional events, delivering updates via Webhook.
Yes. We parse the nutritional tables to extract calories, protein, carbohydrates, fats, and micronutrients, structured into clean JSON fields.
We begin tracking pricing history from the day your pipeline is commissioned. Every run produces a timestamped snapshot of the catalogue.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off macro database or continuous price monitoring across the Italian catalogue, we scope, build, and operate the pipeline.
