We extract beauty catalogues, LDExtras promotional pricing, local store inventory, and product reviews from london-drugs.com. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Beauty Products objects from london-drugs.com. All fields typed and schema-versioned.
"product_id": "L0394821", "sku": "8492018", "title": "Vichy Mineral 89 Hyaluronic Acid Serum", "brand": "Vichy", "category": "Beauty", "sub_category": "Skincare", "price": 41.99, "list_price": 41.99, "currency": "CAD", "size_volume": "50ml", "rating": 4.7, "review_count": 342
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Complete list of extractable fields for Pricing & Offers objects from london-drugs.com. All fields typed and schema-versioned.
"sku": "8492018", "base_price": 41.99, "sale_price": 34.99, "ldextras_price": 32.99, "discount_pct": 16, "promo_badge": "LDExtras Member Pricing", "limit_per_customer": 4, "currency": "CAD", "price_timestamp": "2026-05-12T10:15:00Z"
| # | sku | base_price | sale_price | ldextras_price | discount_pct | promo_badge |
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Complete list of extractable fields for Store Inventory objects from london-drugs.com. All fields typed and schema-versioned.
"sku": "8492018", "store_id": "LD042", "store_name": "Vancouver City Centre", "city": "Vancouver", "province": "BC", "stock_status": "In Stock", "quantity_available": 14, "bopis_eligible": true, "last_updated": "2026-05-12T10:15:22Z"
| # | sku | store_id | store_name | city | province | postal_code |
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Complete list of extractable fields for Reviews objects from london-drugs.com. All fields typed and schema-versioned.
"review_id": "REV-992817", "sku": "8492018", "author": "SkincareJunkie", "rating": 5, "title": "Hydrating and lightweight", "body": "Perfect for dry winters in Calgary. Absorbs quickly.", "date_posted": "2026-03-14", "verified_buyer": true, "syndicated_source": "vichy.ca"
| # | review_id | sku | author | rating | title | body |
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Complete list of extractable fields for Brand Categories objects from london-drugs.com. All fields typed and schema-versioned.
"brand_id": "BR-104", "brand_name": "La Roche-Posay", "category_url": "https://www.londondrugs.com/la-roche-posay/", "total_products": 142, "active_promotions": 3, "scraped_at": "2026-05-12T10:16:05Z"
| # | brand_id | brand_name | category_url | total_products | active_promotions | featured_banner_url |
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Our infrastructure handles regional postal code simulation, LDExtras pricing tiers, and dynamic inventory lookups across the entire Canadian store network.
Extract deep product metadata including ingredient lists, volume sizing, shade variants, and usage instructions for all skincare and cosmetic lines.
Capture base prices, standard sale prices, and exclusive LDExtras promotional pricing to maintain accurate market intelligence.
Simulate postal codes to extract accurate Buy Online Pick Up In Store (BOPIS) stock levels across all 78+ retail locations.
Extract product reviews and identify syndicated content from brand sites versus native London Drugs customer feedback.
Map complex cosmetic variations like foundation shades and lipstick colours to their parent product IDs and specific SKUs.
Track store operating hours, pharmacy services, optical centre availability, and exact geocoordinates.
Monitor organic search rankings for beauty keywords on london-drugs.com to track brand visibility.
Utilise residential IPs located in Canada to ensure accurate regional pricing and avoid geo-blocking.
Run daily or hourly diffs to capture newly added products, price drops, and out-of-stock events without downloading the entire catalogue.
Brief in. Clean data out.
Specify categories, brands, or specific SKUs. We map the required fields and delivery cadence.
We configure Canadian proxies, session handling, and React hydration logic to extract accurate data.
We test inventory accuracy against specific postal codes and validate LDExtras pricing extraction.
Clean JSON, CSV, or Parquet delivered to your S3 bucket or data warehouse on schedule.
Retail sites require specific regional handling and session management. Here is how we ensure reliable data flow from london-drugs.com.
London Drugs displays different inventory and sometimes pricing based on the selected store. Our crawlers inject specific Canadian postal codes into the session state to extract localised data accurately.
Product availability and LDExtras pricing are often loaded via client-side React hydration. We intercept the underlying JSON payloads rather than scraping the DOM, ensuring faster and more reliable extraction.
Retailers block data centre IPs aggressively. We route all london-drugs.com requests through a pool of Canadian residential proxies to maintain high success rates and prevent geo-redirects.
Beauty products often have dozens of shades. We extract the full variant matrix, ensuring each SKU is mapped correctly to its specific colour code, price, and inventory status.
Skincare products list volumes inconsistently (ml, oz, grams). Our pipeline normalises these units into a standard format, making cost-per-unit calculations straightforward in your warehouse.
Canadian beauty retailers track London Drugs pricing and LDExtras promotions to adjust their own pricing strategies.
Cosmetics brands monitor product listings to ensure their Minimum Advertised Price policies are respected.
Supply chain teams track BOPIS availability across BC and Alberta to understand regional demand for specific skincare lines.
Analysts monitor the addition of new brands and the expansion of shelf space for existing beauty categories.
Product managers aggregate customer reviews to identify common complaints or praises regarding specific formulations.
Marketing teams track the frequency and depth of LDExtras discounts to predict seasonal sale events.
"London Drugs maintains one of Canada's most comprehensive beauty catalogues, but local inventory visibility requires continuous postal code simulation."
Extracting accurate pricing and stock data from London Drugs requires managing regional sessions, bypassing anti-bot layers, and parsing React states. DataFlirt abstracts this complexity so your engineering team receives clean, normalised data ready for immediate analysis.
Everything supported by our london-drugs.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.
Instead of parsing brittle DOM elements, our Playwright instances intercept the raw JSON payloads used by the frontend, ensuring high fidelity data extraction.
We maintain dedicated pools of Canadian residential proxies to ensure london-drugs.com serves correct regional pricing and does not trigger security blocks.
Data passes through Python 3.12 validation models to normalise currency formats, volume measurements, and date strings before warehouse delivery.
Data delivered to where your team already works — no new tooling required.
About london-drugs.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We configure the crawler session with target Canadian postal codes to extract accurate Buy Online Pick Up In Store (BOPIS) inventory levels for specific retail locations.
Yes. We extract the standard sale price alongside any advertised LDExtras promotional pricing visible on the public product listing.
Our pipeline extracts the full variant matrix. A lipstick with 20 shades will yield 20 distinct records, each with its specific SKU, colour name, price, and inventory status.
Scraping publicly available product, pricing, and store data is generally permissible. DataFlirt strictly targets public retail data and does not interact with authenticated pharmacy portals or personal health information (PHI).
We can configure pipelines to run daily or multiple times a day depending on your requirements. High-frequency runs typically focus on a targeted list of priority SKUs rather than the entire catalogue.
Yes. All requests to london-drugs.com are routed through Canadian residential proxies to ensure accurate regional data and prevent geo-blocking.
20-minute scoping call. Pilot dataset within the week. Production within two. From daily beauty catalogue updates to hourly store inventory tracking. Provide your target categories and we handle the infrastructure.