We extract cosmetic product listings, PC Optimum points offers, shade matrices, and ingredient profiles from beautyboutique.ca. 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 beautyboutique.ca. All fields typed and schema-versioned.
"sku": "BB-892144", "name": "Double Wear Stay-in-Place Makeup", "brand": "Estee Lauder", "price": 65.0, "optimum_points": 650, "shade_count": 56
| # | sku | name | brand | category | price | optimum_points |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Shades & Variants objects from beautyboutique.ca. All fields typed and schema-versioned.
"parent_sku": "BB-892144", "variant_sku": "BB-892144-2N1", "shade_name": "2N1 Desert Beige", "hex_colour": "#E5C8A6", "colour_family": "Neutral", "in_stock": true, "price": 65.0
| # | parent_sku | variant_sku | shade_name | hex_colour | colour_family | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Promotions & Offers objects from beautyboutique.ca. All fields typed and schema-versioned.
"sku": "BB-892144", "promo_type": "BONUS_POINTS", "optimum_points_bonus": 20000, "gift_with_purchase": false, "conditions": "Spend $75 or more on Estee Lauder", "end_date": "2026-11-15T23:59:59Z"
| # | sku | promo_type | discount_pct | optimum_points_bonus | gift_with_purchase | start_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Brand Data objects from beautyboutique.ca. All fields typed and schema-versioned.
"brand_id": "BR-ESTEE", "brand_name": "Estee Lauder", "category_focus": "Makeup & Skincare", "product_count": 214, "is_luxury": true, "brand_url": "/brands/estee-lauder"
| # | brand_id | brand_name | category_focus | product_count | banner_url | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from beautyboutique.ca. All fields typed and schema-versioned.
"keyword": "liquid foundation", "position": 3, "sku": "BB-892144", "name": "Double Wear Stay-in-Place Makeup", "brand": "Estee Lauder", "price": 65.0
| # | keyword | position | sku | name | brand | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper handles every layer of the platform: luxury cosmetic listings, complex shade matrices, PC Optimum point multipliers, and ingredient profiles.
Title, descriptions, ingredient lists, directions for use, volumes, and image assets scraped at the SKU level.
Capture base point values, multiplier events, and bonus point offers associated with specific products or brands.
Extract complex shade matrices including variant SKUs, shade names, hex colour codes, and colour family groupings.
Monitor Gift with Purchase (GWP) thresholds, limited time offers, and seasonal discounts across the catalogue.
Map the exact hierarchy from parent categories down to specific product types and brand collections.
Track out of stock status at the individual shade variant level to monitor inventory depth and restock patterns.
Extract aggregate star ratings, review counts, and individual review text across all product pages.
Parse structured fragrance notes including top, heart, and base components from perfume descriptions.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide brand lists, category URLs, or keyword sets. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for Canadian endpoints.
Schema validation, null-rate checks, price-outlier detection, and sample exports before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Modern e-commerce sites use dynamic rendering and bot protection. Here is how we stay resilient.
Retailers block data center IPs and non-domestic traffic. Our crawlers use Canadian residential ISP proxies with realistic browser fingerprints and full cookie session management.
Shade selectors and promotional banners are heavily JavaScript-rendered. We run full Playwright browser sessions to trigger lazy-loads and hydrate variant data.
E-commerce DOM structures change frequently during promotional events. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline.
For large catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, and coverage drops.
Beauty retailers monitor pricing, promotions, and PC Optimum point events to adjust their own promotional calendars.
Analysts track PC Optimum point multipliers and bonus offers to benchmark loyalty program mechanics.
Merchandising teams analyse new product launches, shade expansions, and out-of-stock rates to identify market trends.
Cosmetic brands audit their product listings to ensure accurate descriptions, correct imagery, and MAP compliance.
Formulators and researchers extract ingredient lists across thousands of SKUs to track formulation trends.
ML teams use structured shade matrices and product descriptions to train virtual try-on and recommendation engines.
"Beautyboutique.ca holds one of the richest datasets for Canadian luxury cosmetics and loyalty program mechanics."
Extracting this data requires navigating dynamic shade selectors, region-locked endpoints, and complex promotional logic. DataFlirt absorbs that complexity so your engineering team can focus on data modelling and analysis rather than maintaining scraping infrastructure.
Everything supported by our beautyboutique.ca 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, cookie sessions, and interaction flows for dynamic shade selection.
We maintain pools of residential ISP proxies across Canadian regions. Rotation happens per request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. State is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About beautyboutique.ca scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and promotional data. We do not extract personal data or circumvent authentication walls.
We use Canadian residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains.
Full catalogue refreshes at daily cadence complete within a 4-6 hour window. High-priority SKUs can be tracked at hourly intervals for stock availability.
Yes. We map parent SKUs to child variant SKUs, extracting shade names, hex colour codes, colour families, and specific variant image assets.
We extract all publicly visible PC Optimum point values, multiplier events, and bonus offers attached to specific products or brands. We do not extract personalised, account-specific offers.
Yes. We provide a sample run of up to 500 SKUs as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous tracking of promotions and shade inventory. We scope, build, and operate the pipeline.
