We extract fabric by the metre, yarn specifications, haberdashery catalogues, and store-level inventory from Lincraft. 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 Fabric & Textiles objects from lincraft.com.au. All fields typed and schema-versioned.
"sku": "LC-8472910", "title": "Printed Cotton Poplin Floral", "price_per_metre": 14.99, "club_price": 11.99, "composition": "100% Cotton", "width_cm": 112, "colour": "Navy Floral", "stock_status": "In Stock"
| # | sku | title | brand | price_per_metre | club_price | composition |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Yarn & Knitting objects from lincraft.com.au. All fields typed and schema-versioned.
"sku": "LC-392811", "title": "Makr Cotton Blend 8 Ply Yarn", "brand": "Makr", "ply": "8 Ply", "blend": "50% Cotton 50% Acrylic", "needle_size_mm": "4.00", "length_m": 120, "price": 6.0
| # | sku | title | brand | weight_g | ply | blend |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Inventory objects from lincraft.com.au. All fields typed and schema-versioned.
"sku": "LC-8472910", "base_price": 14.99, "club_price": 11.99, "store_name": "Lincraft Melbourne CBD", "postcode": "3000", "click_collect_available": true, "stock_level": "Low Stock", "timestamp": "2024-05-12T08:30:00Z"
| # | sku | base_price | club_price | discount_pct | store_id | store_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Haberdashery objects from lincraft.com.au. All fields typed and schema-versioned.
"sku": "LC-119283", "title": "Birch Dressmaking Scissors", "category": "Haberdashery", "sub_category": "Scissors & Cutting", "brand": "Birch", "price": 34.95, "material": "Stainless Steel", "pack_size": 1
| # | sku | title | category | sub_category | brand | price |
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Complete list of extractable fields for Reviews & Ratings objects from lincraft.com.au. All fields typed and schema-versioned.
"review_id": "REV-99281", "sku": "LC-392811", "star_rating": 5, "review_title": "Great yarn for blankets", "review_body": "Soft and easy to work with. Holds up well in the wash.", "review_date": "2023-11-04", "verified_buyer": true, "helpful_votes": 12
| # | review_id | sku | reviewer_name | star_rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our pipeline handles the complexities of craft retail: metric conversions, multi-store inventory polling, variant mapping for colourways, and Club Lincraft pricing tiers.
Extract precise composition percentages, fabric width in centimetres, GSM weight, and care instructions for all cut-to-length textiles.
Capture ply counts, blend ratios, recommended needle sizes, tension gauges, and metreage per ball across all yarn categories.
Simultaneously extract standard retail pricing and Club Lincraft member pricing, calculating exact discount margins per SKU.
Query Click & Collect availability and stock levels across specific postcodes or store IDs to map regional inventory distribution.
Link parent product listings to child variants, capturing specific images, pricing, and stock status for every colour swatch.
Map the deep category tree of tools, notions, and hardware, maintaining the exact breadcrumb hierarchy from the site.
Scrape star ratings, review text, and verified buyer tags across product pages to monitor customer sentiment and quality feedback.
Capture multibuy offers, clearance tags, and percentage-off sale badges active during the crawl window.
Configure pipelines to emit only records that have changed since the last run, reducing data processing overhead.
Brief in. Clean data out.
Specify categories, search terms, or target postcodes for inventory polling. We map the required schema.
We configure Scrapy spiders to navigate Lincraft's category trees and Playwright to handle dynamic stock lookups.
Schema validation ensures fabric widths, yarn plies, and Club prices parse correctly without null-rate spikes.
Clean JSON, CSV, or Parquet delivered to your S3 bucket or Snowflake instance on a daily or weekly schedule.
Lincraft's architecture relies on dynamic pricing and location-based stock checks. Here is how we extract it reliably.
Click & Collect availability requires simulating location inputs. We use Playwright to inject target postcodes and intercept the resulting API responses, mapping stock levels across multiple stores in a single run.
Fabric and yarn products often have dozens of colour variants that change stock status and imagery. Our crawlers iterate through every swatch element in the DOM to ensure complete variant coverage.
Lincraft displays standard pricing alongside Club Lincraft pricing. We extract both values distinctly, normalising the currency format and calculating the exact member discount percentage.
Craft data is messy. We parse unstructured description blocks to extract clean integers for GSM, fabric width, needle size, and metreage, ensuring your downstream database receives typed values.
We maintain state across runs. If a yarn colourway hasn't changed price or stock status, we skip emitting it. You receive a clean changelog of inventory movements and price drops.
Craft and fabric retailers track Lincraft's standard and Club pricing to optimise their own promotional calendars and price matching strategies.
Merchandising teams analyse category depth across yarn, fabric, and haberdashery to identify gaps in their own product ranges.
Suppliers monitor stock-out frequencies on specific SKUs across Lincraft store locations to forecast demand and propose replenishment.
Analysts track the introduction of new fabric compositions and yarn blends to identify emerging consumer craft trends.
Wholesale brands track how their products are priced, categorised, and reviewed on Lincraft compared to other retail stockists.
Craft applications use pricing and metreage data to calculate accurate project costs for sewing and knitting patterns.
"Lincraft holds Australia's most comprehensive catalogue of fabric compositions, yarn specifications, and haberdashery pricing - critical data for retail intelligence."
Extracting structured craft retail data requires parsing complex variant matrices, tracking store-level inventory across postcodes, and handling Club Lincraft member pricing logic. DataFlirt manages the extraction infrastructure so your team can focus on assortment analysis and price matching.
Everything supported by our lincraft.com.au 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 catalogue traversal and deduplication. Playwright handles JavaScript execution for postcode-based inventory lookups.
We route requests through Australian residential IPs to ensure location-based pricing and stock data loads correctly.
Pipelines run on AWS infrastructure managed by Airflow, ensuring reliable delivery schedules and automated retry logic for timeouts.
Data delivered to where your team already works — no new tooling required.
About lincraft.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing, product specifications, and store location data is generally permissible. DataFlirt extracts only public, non-authenticated information. We do not extract personal user data or bypass authentication systems. Clients should consult their own legal counsel regarding specific commercial use cases.
You provide a list of target postcodes or store IDs. Our Playwright instances simulate location input on the product page and capture the resulting Click & Collect availability and stock status for each specified location.
Yes. Club Lincraft prices are displayed publicly on the product pages alongside standard retail prices. We extract both values and can calculate the absolute and percentage discount automatically.
Pipeline frequency is configurable. We support daily, weekly, or ad-hoc runs depending on your requirements. Full catalogue runs typically complete within a few hours.
We build managed pipelines for ongoing data delivery. Minimum engagements typically start with a defined category scope (e.g., all Yarn or all Fabric) delivered weekly. Contact us for specific volume pricing.
Yes. We offer sample extracts containing up to 500 products across various categories to validate schema compatibility and data quality before formal engagement.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually checking fabric prices and yarn stock levels. We build and maintain the extraction pipeline so you receive clean data on schedule.
