We extract sports nutrition profiles, apparel catalogues, pricing signals, stock depth, and reviews from Prozis. 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 Supplements & Nutrition objects from prozis.com. All fields typed and schema-versioned.
"sku": "PRZ-10045", "title": "100% Real Whey Protein 1000g", "category": "Sports Nutrition > Protein", "price": 24.99, "prozis_points": 249, "flavour": "Chocolate", "protein_per_100g": 82.5
| # | sku | title | category | price | prozis_points | flavour |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Apparel & Gear objects from prozis.com. All fields typed and schema-versioned.
"sku": "APP-20934", "title": "X-Skin Compression Tights", "price": 39.99, "sizes_available": "['S', 'M', 'L', 'XL']", "colour": "Black", "material": "Polyester, Elastane", "gender": "Men"
| # | sku | title | category | price | discount_pct | sizes_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Promotions objects from prozis.com. All fields typed and schema-versioned.
"sku": "PRZ-10045", "current_price": 19.99, "original_price": 24.99, "discount_pct": 20, "prozis_points_earned": 199, "active_campaign": "Summer Shred Sale"
| # | sku | current_price | original_price | discount_pct | prozis_points_earned | active_campaign |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from prozis.com. All fields typed and schema-versioned.
"review_id": "REV-993847", "sku": "PRZ-10045", "rating": 5, "date": "2023-10-14", "text": "Mixes perfectly and tastes great with water.", "verified_buyer": true, "helpful_votes": 12
| # | review_id | sku | rating | author | date | text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Stock & Variants objects from prozis.com. All fields typed and schema-versioned.
"sku": "PRZ-10045-CHOC", "parent_id": "PRZ-10045", "variant_type": "Flavour", "variant_value": "Chocolate", "in_stock": true, "delivery_estimate": "24-48 hours"
| # | sku | parent_id | variant_type | variant_value | in_stock | low_stock_warning |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Our Prozis scraper handles dynamic variant selectors, complex nutritional tables, geo-routed pricing, and promotional logic with JavaScript rendering and session management built in.
Extract macros, ingredients, and allergens structured from complex HTML tables into clean JSON fields.
Link parent products to hundreds of flavour, weight, and size permutations across the catalogue.
Capture loyalty point values attached to specific SKUs and promotional multipliers.
Extract localised pricing and currency data across European and global storefronts.
Capture sizing charts, material composition, and colour variants for fitness gear.
Extract user feedback, star ratings, and verified purchase flags across all paginated views.
Identify BOGO deals, clearance tags, and limited-time discount structures.
Monitor out-of-stock statuses and low-stock warnings at the variant level.
Run daily or hourly deltas to track price fluctuations and inventory changes.
Brief in. Clean data out.
Provide target categories, regions, or specific SKUs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for prozis.com.
Schema validation, null-rate checks, and macro data normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or data warehouse on agreed cadence.
Prozis employs dynamic rendering and regional routing. Here is how we maintain stable extraction pipelines.
Prozis employs aggressive rate limiting and geo-blocking. We route requests through localised residential IPs to maintain access and capture accurate regional data.
Variant data requires client-side rendering. We use Playwright to hydrate the DOM and extract all permutations of flavours, weights, and sizes.
Layouts vary between supplements and foods. Our selectors use heuristic fallback chains to normalise macro data into standard fields.
For large catalogues, we hash field values and only emit records when prices, promotions, or stock levels change.
We alert on null-rate spikes or schema drift in real time, ensuring your downstream models receive clean data continuously.
Brands track Prozis pricing, discount cadences, and promotional strategies to optimise their own positioning.
Dietary apps ingest macro profiles, ingredients, and allergen data to expand their food catalogues.
Analysts monitor category expansion and flavour popularity to identify shifting consumer preferences.
Supply chain teams track out-of-stock signals across regions to model demand velocity.
Machine learning teams use structured product descriptions and reviews to train fitness recommendation engines.
Third-party brands sold on Prozis monitor retail prices against minimum advertised price agreements.
"Prozis maintains one of the most comprehensive sports nutrition catalogues in Europe. Extracting structured macro profiles requires dedicated pipeline engineering."
Extracting data from Prozis involves navigating dynamic variant selectors, complex nutritional tables, and aggressive geo-routing. DataFlirt manages the residential proxies, JavaScript rendering, and schema normalisation so your team can focus on data modelling.
Everything supported by our prozis.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 and retry logic. Playwright handles JavaScript rendering, variant selection, and DOM interaction.
We maintain pools of residential ISP proxies across EU regions. Rotation happens per-request to prevent rate limiting.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. State stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About prozis.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public product and pricing data is generally permissible. We do not extract authenticated user data or bypass login walls.
We route requests through country-specific residential proxies to capture accurate local pricing, currency, and availability.
Yes. We parse serving sizes, macros, vitamins, and ingredients into structured, queryable JSON fields.
Pipelines run at hourly or daily cadences. Delta processing ensures you receive price and stock updates rapidly.
Yes. We extract the base point value and any promotional multipliers active at the time of scraping.
Pipelines start at defined category or SKU lists with weekly delivery. Contact us for high-frequency or full-site requirements.
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 regions. Tell us what you need.
