We extract cosmetic formulations, fragrance profiles, loyalty pricing, and store-level inventory from Marionnaud. 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 marionnaud.com. All fields typed and schema-versioned.
"product_id": "P100458", "name": "La Vie Est Belle Eau de Parfum", "brand": "Lancome", "price": 105.0, "loyalty_price": 78.75, "volume_ml": 50, "category": "Parfum"
| # | product_id | name | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Fragrance & Ingredients objects from marionnaud.com. All fields typed and schema-versioned.
"product_id": "P100458", "top_notes": "Blackcurrant, Pear", "heart_notes": "Iris, Jasmine, Orange Blossom", "base_notes": "Praline, Vanilla, Patchouli", "olfactory_family": "Floral Fruity Gourmand", "vegan_flag": false, "made_in": "France"
| # | product_id | top_notes | heart_notes | base_notes | olfactory_family | ingredients_list |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Promotions objects from marionnaud.com. All fields typed and schema-versioned.
"product_id": "P100458", "base_price": 105.0, "discount_price": 78.75, "m_carte_price": 78.75, "discount_pct": 25, "promo_badge": "Offre Privilege", "currency": "EUR"
| # | product_id | base_price | discount_price | m_carte_price | discount_pct | promo_badge |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Store Inventory objects from marionnaud.com. All fields typed and schema-versioned.
"product_id": "P100458", "store_id": "M0145", "store_name": "Marionnaud Paris Champs-Elysees", "city": "Paris", "stock_status": "In Stock", "click_and_collect_eligible": true, "next_available_slot": "1H"
| # | product_id | store_id | store_name | city | post_code | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from marionnaud.com. All fields typed and schema-versioned.
"review_id": "RV849201", "product_id": "P100458", "rating": 5, "date": "2026-03-14", "skin_type": "Combination", "recommended": true, "body": "A classic scent with incredible longevity."
| # | review_id | product_id | rating | author | date | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Marionnaud scraper captures the entire retail catalogue: from granular fragrance notes and ingredient lists to dynamic M Carte pricing and real-time store inventory.
Extract titles, descriptions, and map parent products to specific volume, shade, and packaging variants.
Capture standard retail prices alongside M Carte loyalty discounts, promotional badges, and flash sale details.
Parse olfactory families, top notes, heart notes, and base notes for the entire perfume catalogue.
Extract full INCI ingredient lists, allergen warnings, and Clean Beauty or Vegan product certifications.
Monitor stock availability and Click & Collect eligibility across physical retail locations using postal code inputs.
Collect ratings, review text, and demographic metadata like age range and skin type for sentiment analysis.
Extract localised catalogues and pricing across France, Italy, Switzerland, Austria, and other European domains.
Track brand visibility, category placement, and new product launches to understand retailer strategy.
Configure hourly price monitoring or daily catalogue refreshes with automated change detection.
Brief in. Clean data out.
Provide target categories, brands, or specific URLs. We map the required data fields and delivery format.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and bot protection handling for marionnaud.com.
Schema validation, null-rate checks, price-outlier detection, and variant mapping verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
European beauty retailers invest heavily in bot protection to guard their pricing data. Here is how we maintain reliable extraction.
Marionnaud utilises strict bot mitigation techniques. Our crawlers use European residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management to blend in with legitimate consumer traffic.
Shade selectors, volume dropdowns, and M Carte loyalty pricing rely heavily on client-side JavaScript. We run full Playwright browser sessions to trigger these dynamic elements and capture the correct pricing and stock state per variant.
To capture Click & Collect availability, our pipeline dynamically injects postal codes and coordinates into the session, allowing us to map inventory levels across hundreds of physical retail locations.
For large cosmetic catalogues, we maintain a hash index of last-seen values. Subsequent runs only push diffs, reducing compute cost and downstream processing load. You receive a clean changelog of price drops or stockouts.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing ingredient fields, schema drift, and coverage drops. We respond before your downstream models are affected.
Beauty brands and competing retailers monitor standard and loyalty pricing to optimise their own promotional calendars.
Category managers analyse brand visibility, shade availability, and volume variants to identify gaps in their own product lines.
R&D teams aggregate INCI lists and olfactory notes to track formulation trends and benchmark against competitor products.
Luxury brands audit retail listings to ensure MAP compliance and detect unauthorised discounting on premium fragrance lines.
Supply chain analysts monitor store-level stockouts and Click & Collect availability to estimate regional demand velocity.
Marketing teams mine review text, correlating ratings with specific skin types and age ranges to refine product messaging.
"Marionnaud holds critical formulation and pricing intelligence for the European beauty market, but extracting it reliably requires bypassing strict retail anti-bot measures."
Most teams underestimate the investment required: reliable cosmetics scraping requires residential proxies, full JavaScript rendering for shade variants, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our marionnaud.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows for dynamic variants.
We maintain pools of residential ISP proxies across European regions. Rotation happens per-request with sticky sessions where required to bypass bot detection.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About marionnaud.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from retail websites is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data, circumvent authentication walls, or violate GDPR. Clients should review the target website's Terms of Service and consult legal counsel for specific use cases.
We use EU-based residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for block rate spikes in real time and trigger proxy pool rotation automatically.
We support the primary French domain (marionnaud.fr) as well as regional variations including Italy, Switzerland, and Austria, normalising category structures and currencies across regions.
Pipelines can be configured to run daily full-catalogue refreshes or intra-day checks on a specific subset of high-priority SKUs to monitor flash sales and promotional changes.
Yes. Our pipeline extracts both the standard retail price and the public M Carte loyalty price, including any promotional badges or discount percentages displayed on the product listing.
Our smallest packages start at a defined brand list or category subset with weekly delivery. For full-catalogue extraction across multiple regions, we price based on volume and delivery frequency.
Yes. We parse the structured product details to extract olfactory families, top notes, heart notes, and base notes for the entire perfume category.
Absolutely. We provide a sample run of up to 500 products as part of the pre-engagement scoping process, allowing you to validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across the European market, we scope, build, and operate the pipeline. Tell us what you need.
