We extract apparel listings, sizing matrices, Livi Active inventory, Cacique intimates, and promotional pricing from Lane Bryant. 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 Apparel Listings objects from lanebryant.com. All fields typed and schema-versioned.
"sku": "LB-892341", "name": "Signature Fit Right Column Pant", "brand": "Lane Bryant", "price": 59.95, "category": "Clothing > Pants", "colour_options": "['Black', 'Navy', 'Charcoal']", "size_options": "['14', '16', '18', '20', '22', '24', '26', '28']"
| # | sku | name | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Promos objects from lanebryant.com. All fields typed and schema-versioned.
"sku": "LB-892341", "current_price": 35.0, "original_price": 59.95, "discount_pct": 41, "promo_text": "Buy 1 Get 1 50% Off", "clearance_flag": false, "final_sale": false
| # | sku | current_price | original_price | discount_pct | promo_text | clearance_flag |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from lanebryant.com. All fields typed and schema-versioned.
"review_id": "REV-99281", "sku": "LB-892341", "rating": 4.5, "fit_rating": "True to Size", "review_title": "Perfect work pants", "review_text": "These fit perfectly and have great stretch for long days at the office.", "date_posted": "2023-10-14"
| # | review_id | sku | reviewer_name | rating | fit_rating | quality_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Sizing & Fit objects from lanebryant.com. All fields typed and schema-versioned.
"sku": "LB-892341", "size_system": "US Plus", "available_sizes": "['14', '16', '18', '20']", "out_of_stock_sizes": "['22', '24', '26', '28']", "model_height": "5'10"", "model_size_worn": "14"
| # | sku | size_system | available_sizes | out_of_stock_sizes | fit_guide_url | model_height |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Store Inventory objects from lanebryant.com. All fields typed and schema-versioned.
"store_id": "STR-402", "store_name": "Oak Park Mall", "city": "Overland Park", "state": "KS", "sku": "LB-892341", "stock_status": "In Stock", "pickup_available": true
| # | store_id | store_name | address | city | state | zip |
|---|---|---|---|---|---|---|
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Our scraper handles dynamic variant loading, complex sizing matrices for Cacique intimates, and promotional pricing logic - delivering structured apparel data ready for analysis.
Title, description, fabric details, care instructions, and high-resolution imagery for Lane Bryant mainlines and sub-brands.
Extract plus-size fit guides, cup sizes, and band sizes for Cacique intimates, mapping every available permutation.
Capture base price, clearance markdowns, and promotional text like 'Buy 1 Get 1 50% Off'.
Extract review text, star ratings, and specific fit feedback (e.g., 'runs small', 'runs large') from the customer community.
Map colour and size permutations tied to specific SKUs, ensuring accurate inventory representation.
Extract Buy Online Pick Up In Store availability across specific retail locations.
Unified schema extraction across Lane Bryant, Cacique, and Livi Active collections.
Extract front, back, detail, and model shots for every colour variant.
Run daily inventory diffs or hourly price checks to monitor stock depth and markdowns.
Brief in. Clean data out.
Provide category URLs, brand filters, or specific SKUs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for lanebryant.com.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Fashion retail sites rely on heavy JavaScript for variant loading. Here is how we extract complete matrices without missing data.
Retailers use strict perimeter defenses. Our crawlers use US residential ISP proxies with realistic browser fingerprints and full cookie session management to prevent IP bans.
Apparel SKUs load pricing and availability dynamically based on selected colour and size. We use full Playwright execution to trigger these network requests and capture the complete matrix.
Fashion sites redesign layouts seasonally. Our selector strategy uses fallback chains combining CSS, XPath, and JSON-LD to maintain pipeline stability during site updates.
We maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs for price changes or stock-outs, reducing your downstream processing load.
Every run emits structured logs. We alert on null-rate spikes in critical fields like price or available_sizes, ensuring data completeness.
Retailers monitor Lane Bryant's promotional cadence and clearance depth to optimise their own pricing strategies.
Track category depth in Cacique intimates versus Livi Active to understand inventory allocation.
Analyse colour and style velocity based on review volume and stock-out rates.
Train fit-prediction models using aggregated review fit-feedback and sizing matrices.
Monitor clearance velocity and discount depth across product lifecycle stages.
Compare fabric composition, price points, and size inclusivity against other plus-size retailers.
"Lane Bryant holds a highly structured dataset of plus-size apparel and intimates sizing, but it requires deep JavaScript execution to extract the full colour-size matrix."
Extracting apparel data requires navigating complex variant matrices where every colour and size combination triggers a distinct network request. DataFlirt manages the residential proxies, JavaScript rendering, and schema validation required to pull clean SKU-level data without triggering rate limits.
Everything supported by our lanebryant.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 deduplication. Playwright handles JavaScript rendering and variant hydration. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions where required to load specific store inventories.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About lanebryant.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from retail sites is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls.
We use full Playwright browser sessions to execute JavaScript, triggering the network requests required to load price and availability for every colour and size combination.
Yes. We map the full matrix of band sizes and cup sizes, ensuring complete coverage of the intimates catalogue.
We can configure pipelines for daily full-catalogue refreshes or hourly checks on specific high-velocity SKUs to monitor fast-moving clearance items.
Yes. We extract the review text, star rating, and structured fit feedback such as 'runs small' or 'runs large' provided by reviewers.
Our smallest packages start at a defined category or SKU list with weekly delivery. For full-site extraction, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 SKUs as part of the 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 price-monitoring across all categories - we scope, build, and operate the pipeline. Tell us what you need.
