We extract fabric specifications, colour variants, bulk pricing tiers, and stock availability from FabricWholesaleDirect. 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 Listings objects from fabricwholesaledirect.com. All fields typed and schema-versioned.
"sku": "FWD-8821", "name": "Duchess Satin Fabric", "category": "Apparel Fabrics", "sub_category": "Satin", "base_price": 6.99, "currency": "USD", "total_colours": 45, "rating": 4.8, "in_stock": true
| # | sku | url | name | category | sub_category | base_price |
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Complete list of extractable fields for Specifications objects from fabricwholesaledirect.com. All fields typed and schema-versioned.
"sku": "FWD-8821", "fibre_content": "100% Polyester", "width": "58/60 inches", "weight_gsm": "220", "stretch": "None", "drape": "Stiff", "opacity": "Opaque", "care_instructions": "Machine Wash Cold, Tumble Dry Low"
| # | sku | fibre_content | width | weight_gsm | stretch | drape |
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Complete list of extractable fields for Pricing & Tiers objects from fabricwholesaledirect.com. All fields typed and schema-versioned.
"sku": "FWD-8821", "base_price_per_yard": 6.99, "tier_1_qty": "10-19", "tier_1_price": 5.99, "tier_2_qty": "20-49", "tier_2_price": 4.99, "roll_qty": "50+", "roll_price": 3.99, "last_updated": "2023-10-24T08:12:00Z"
| # | sku | colour_id | base_price_per_yard | tier_1_qty | tier_1_price | tier_2_qty |
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Complete list of extractable fields for Colour Variants objects from fabricwholesaledirect.com. All fields typed and schema-versioned.
"sku": "FWD-8821", "variant_sku": "FWD-8821-NAVY", "colour_name": "Navy Blue", "colour_hex": "#000080", "swatch_image_url": "https://cdn.fabricwholesaledirect.com/swatches/navy.jpg", "stock_status": "In Stock", "restock_notification": false
| # | sku | variant_sku | colour_name | colour_hex | swatch_image_url | stock_status |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Reviews objects from fabricwholesaledirect.com. All fields typed and schema-versioned.
"review_id": "REV-99281", "sku": "FWD-8821", "reviewer_name": "Sarah J.", "star_rating": 5, "review_date": "2023-09-15", "verified_buyer": true, "review_text": "Excellent weight for structured gowns. Colour matches swatch perfectly.", "helpful_votes": 12
| # | review_id | sku | reviewer_name | star_rating | review_date | verified_buyer |
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Our scraper handles the complex matrix of textile data: extracting bulk pricing tiers, normalising technical specifications, and mapping dozens of colour variants per base SKU.
Fibre content, width, GSM weight, stretch percentage, drape, and opacity parsed into structured fields for every fabric type.
Extract every colour option per fabric, including specific hex codes, swatch image URLs, and variant-level SKUs.
Capture base yardage price, mid-tier quantity discounts, and full roll pricing logic across the entire catalogue.
Monitor stock availability, backorder dates, and out-of-stock statuses at the individual colour variant level.
Extract customer reviews, star ratings, verified buyer flags, and uploaded project images to gauge fabric quality.
Map the full category tree from broad apparel fabrics down to specific weaves like chiffon, satin, and broadcloth.
Parse washing, drying, and ironing guidelines into machine-readable formats for product information management systems.
Run daily or weekly pipelines that output only changed prices, new colour additions, or out-of-stock alerts.
Download and map high-resolution fabric texture images and colour swatches directly to your S3 buckets.
Brief in. Clean data out.
Provide categories, specific fabric types, or target URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, handle dynamic swatch loading, and map the pricing tier matrices.
Schema validation, null-rate checks, and variant count verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
FabricWholesaleDirect structures data in complex, dynamic matrices. Here is how we extract it reliably.
Fabric listings load colour variants and associated stock statuses dynamically via JavaScript. We use Playwright to execute these scripts, ensuring all 50+ colours for a single fabric are captured, not just the default selection.
Pricing changes based on yardage (e.g., 1-9 yards, 10-19 yards, full roll). Our parsers extract these HTML tables and normalise them into flat, queryable pricing tiers associated with the base SKU.
Technical details like GSM, width, and fibre percentages are often embedded in unstructured description blocks. We use regex and NLP to extract these into strict numeric and categorical fields.
We map the entire site taxonomy, managing infinite scroll and pagination across broad categories to ensure zero missed SKUs during full catalogue sweeps.
By hashing variant-level stock statuses per run, we deliver clean diffs showing exactly which colours went out of stock or changed price, minimising your downstream processing.
Textile retailers monitor FWD's bulk pricing tiers and roll discounts to adjust their own pricing strategies and remain competitive.
Apparel manufacturers track fabric availability, GSM specifications, and backorder dates to optimise their material sourcing.
Analysts aggregate new fabric introductions, colour variant expansions, and review velocity to predict seasonal textile trends.
Merchants sync FWD's inventory statuses, pricing, and images directly into their Shopify or WooCommerce stores.
ML teams train models on fibre content, drape, and stretch specifications to build automated fabric recommendation engines for designers.
Buyers monitor clearance sections and discontinued colour variants for immediate purchase and resale opportunities.
"FabricWholesaleDirect holds the baseline pricing and specification data for the North American textile market — extracting it requires navigating complex variant matrices."
Textile catalogues present unique extraction challenges. A single fabric SKU can have 80 colour variants, distinct bulk pricing tiers, and specific technical metadata like GSM and stretch percentages. DataFlirt manages the JavaScript rendering and matrix normalisation so your procurement teams get flat, queryable tables.
Everything supported by our fabricwholesaledirect.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 for dynamic colour swatches and pricing tables.
We use US-based residential IP pools to ensure uninterrupted access during full catalogue sweeps, avoiding rate limits.
Pipelines run on AWS infrastructure. Airflow handles scheduling for daily inventory checks, with all state stored in PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About fabricwholesaledirect.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and specification data is generally permissible. DataFlirt extracts only public catalogue data. We do not bypass authentication walls for gated B2B wholesale accounts.
We use Playwright to execute the JavaScript that loads variant data. Our schema maps the base fabric SKU to an array of colour variants, capturing the specific hex code, swatch image, and stock status for each.
Yes. We parse the tiered pricing tables (e.g., 1-9 yards, 10-19 yards, full roll) and normalise them into structured columns associated with the base product record.
We can configure pipelines to run daily or at sub-daily intervals to monitor stock availability and backorder dates across specific high-priority SKUs.
Yes. We can extract the image URLs or download the actual high-resolution texture and swatch image files directly to your AWS S3 bucket.
We typically start with full catalogue extracts delivered weekly. For smaller, targeted category monitoring, contact us to define a custom scope and schedule.
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 every fabric variant — we scope, build, and operate the pipeline. Tell us what you need.
