We extract fabric specifications, haberdashery catalogues, pricing signals, and inventory states from Tissus.net. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Fabric Specifications objects from tissus.net. All fields typed and schema-versioned.
"sku": "81_6543_02", "title": "Cotton Jersey Solid", "composition": "95% Cotton, 5% Elastane", "weight_gsm": 220, "width_cm": 150, "price_per_meter": 12.95, "oeko_tex_certified": true
| # | sku | title | category | composition | weight_gsm | width_cm |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Haberdashery objects from tissus.net. All fields typed and schema-versioned.
"sku": "44_9871_10", "title": "Gutermann Sew-All Thread", "brand": "Gutermann", "category": "Threads", "price": 3.45, "colour": "Navy Blue", "dimensions": "100m"
| # | sku | title | brand | category | sub_category | price |
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Complete list of extractable fields for Sewing Patterns objects from tissus.net. All fields typed and schema-versioned.
"sku": "92_1122_00", "title": "Burda Style Dress Pattern", "brand": "Burda Style", "difficulty": "Intermediate", "garment_type": "Dresses", "size_range": "34-44", "price": 9.99
| # | sku | title | brand | difficulty | garment_type | size_range |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Stock objects from tissus.net. All fields typed and schema-versioned.
"sku": "81_6543_02", "base_price": 12.95, "bulk_price_tier_1": 11.5, "bulk_price_tier_2": 10.25, "currency": "EUR", "stock_level": "In Stock", "last_updated": "2026-05-12T09:14:00Z"
| # | sku | base_price | bulk_price_tier_1 | bulk_price_tier_2 | currency | stock_level |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Product Reviews objects from tissus.net. All fields typed and schema-versioned.
"review_id": "REV_88492", "sku": "81_6543_02", "rating": 5, "author": "Marie C.", "date": "2026-04-18", "text": "Excellent quality jersey, washes very well.", "verified_purchase": true
| # | review_id | sku | rating | author | date | text |
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Our Tissus.net scraper captures structured material properties, dynamic inventory states, and complex pricing tiers with JavaScript rendering and session management built in.
Extract precise blend percentages, GSM weights, and width measurements normalised into structured fields.
Capture Oeko-Tex Standard 100, GOTS, and other sustainability badges attached to specific fabric listings.
Extract base prices alongside multi-tier volume discounts for wholesale and retail analysis.
Scrape threads, buttons, zippers, and tools with accurate brand, dimension, and colour metadata.
Extract difficulty levels, size ranges, garment types, and recommended fabric pairings for sewing patterns.
Monitor real-time stock statuses and estimated delivery windows across the entire product catalogue.
Capture washing, ironing, and drying symbols translated into text attributes for product databases.
Extract data across Tissus.net regional domains mapping localized pricing and language variants.
Run continuous pipelines to detect price shifts and stockouts with hash-based diffing.
Brief in. Clean data out.
Provide category URLs, search terms, or specific SKUs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and parsing logic for Tissus.net.
Schema validation, null-rate checks, and sample data review before full production launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Extracting deep product metadata requires resilient infrastructure. Here is how we maintain data quality.
We use EU-based residential ISP proxies with realistic browser fingerprints to bypass request limits and IP blocking mechanisms.
Tissus.net uses JavaScript to load real-time stock levels and variant pricing. We run Playwright browser sessions to capture data headless HTTP clients miss.
Our parsing logic uses multiple fallback chains for product attributes, ensuring layout updates do not break your data feed.
We maintain a hash index of last-seen values per SKU. 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 and coverage drops automatically.
Retailers track base prices and bulk discount tiers to optimise their own pricing strategies.
Merchandisers analyse category depth, colour availability, and material trends to plan seasonal inventory.
Manufacturers monitor stock levels of specific raw materials to anticipate market shortages.
Machine learning teams use structured fabric compositions and weights to train textile recognition models.
Niche craft and sewing platforms sync product catalogues to offer comprehensive search experiences.
Analysts track the growth of Oeko-Tex and GOTS certified materials across the market.
"Tissus.net holds the most comprehensive structured dataset of fabric properties and textile supply in Europe, requiring precise extraction to map material compositions accurately."
Extracting textile data requires parsing highly specific metadata like GSM weights, blend percentages, and certification badges. DataFlirt handles the complex DOM parsing, proxy rotation, and session management so your engineering team receives clean, normalised material data ready for immediate analysis.
Everything supported by our tissus.net 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 orchestration and deduplication. Playwright manages JavaScript rendering and interaction flows for dynamic product pages.
We maintain pools of residential ISP proxies across European regions to ensure high success rates and prevent IP bans.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About tissus.net scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product and pricing information is generally permissible under applicable laws. DataFlirt targets only public, non-authenticated data. We do not extract personal data or circumvent authentication walls.
We use EU-based residential proxies, realistic browser fingerprints via Playwright, and randomised request timing to maintain high success rates without triggering rate limits.
Yes. We parse the detailed specification tables on product pages to extract exact GSM weights, width in centimetres, and percentage breakdowns of material compositions.
We can configure pipelines to run daily or intra-day depending on your requirements, providing near real-time visibility into inventory changes.
Yes. We extract the base price per meter alongside all advertised volume discount tiers available to public users.
We typically start with a defined category scope or a list of 5,000+ SKUs for continuous monitoring. Contact us to scope your specific data needs.
Yes. We provide a sample run of up to 500 products to validate schema fit and data completeness before you commit.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous price and stock monitoring — we scope, build, and operate the pipeline. Tell us what you need.
