We extract fabric weave specifications, print-on-demand product catalogues, bulk pricing tiers, and material compositions from Contrado. 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 Specifications objects from contrado.com. All fields typed and schema-versioned.
"fabric_name": "Monroe Satin", "material_composition": "100% Polyester", "weave_type": "Satin", "weight_gsm": 160, "max_print_width_cm": 144, "base_price_per_m": 24.0
| # | url | fabric_name | material_composition | weave_type | weight_gsm | max_print_width_cm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Custom Products objects from contrado.com. All fields typed and schema-versioned.
"product_id": "PRD-8912", "category": "Men's Clothing", "product_name": "Custom Bomber Jacket", "base_price": 89.0, "production_time_days": 2, "minimum_dpi": 150
| # | product_id | category | product_name | description | base_price | available_sizes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Wholesale objects from contrado.com. All fields typed and schema-versioned.
"item_id": "FAB-112", "currency": "GBP", "base_price": 24.0, "tier_1_qty": 10, "tier_1_price": 21.6, "sample_price": 2.5
| # | item_id | base_price | currency | tier_1_qty | tier_1_price | tier_2_qty |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from contrado.com. All fields typed and schema-versioned.
"review_id": "REV-9921", "product_id": "PRD-8912", "rating": 5, "print_quality_rating": 5, "fabric_feel_rating": 4, "verified_buyer": true
| # | review_id | product_id | reviewer_name | rating | review_text | print_quality_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Design Specifications objects from contrado.com. All fields typed and schema-versioned.
"product_id": "PRD-8912", "bleed_area_mm": 10, "safe_area_mm": 5, "recommended_resolution_dpi": 300, "color_profile": "RGB", "print_technique": "Dye Sublimation"
| # | product_id | template_url | bleed_area_mm | safe_area_mm | recommended_resolution_dpi | color_profile |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Contrado pipeline navigates dynamic product configurators, complex bulk pricing matrices, and detailed fabric specification tables to deliver structured textile data.
Extract GSM weight, weave type, maximum print width, and material composition for every fabric in the catalogue.
Capture base pricing alongside dynamic bulk discount tiers, sample pricing, and dropship margins.
Scrape complete product lines across clothing, homeware, and accessories with available sizes and material options.
Extract required bleed areas, safe zones, recommended DPI, and colour profiles for every printable product.
Parse exact percentage breakdowns of poly-cotton blends, organic cottons, and synthetic fibres.
Capture wash temperatures, ironing guidelines, and OEKO-TEX certification statuses.
Extract estimated dispatch times and production delays per product category.
Extract pricing normalisations across GBP, USD, EUR, and other supported regional currencies.
Run daily or weekly pipelines that only push changes in price, stock availability, or new product additions.
Brief in. Clean data out.
Provide category URLs or product types. We design the textile extraction schema together.
We configure Scrapy crawlers, Playwright renderers for pricing grids, and proxy rotation.
Schema validation, null-rate checks, and variant mapping verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Contrado relies on complex JavaScript configurators for sizing, material swaps, and pricing tiers. Here is how we extract clean records.
Product pricing changes based on selected size, material, and quantity. We use Playwright to iterate through dropdowns and capture the exact price matrix for every possible configuration.
Fabric details are often nested in accordion menus or tabs. Our parsers target these specific DOM elements to extract clean key-value pairs for GSM, width, and care instructions.
To prevent rate limiting and blockades, we route requests through UK-based residential proxies, maintaining session continuity for complex product iterations.
E-commerce platforms update their frontend frameworks regularly. We use multiple fallback selectors to ensure a minor CSS change does not break your data feed.
We hash the state of each product record. When running weekly updates, we only deliver records where pricing, stock, or specifications have changed.
Print-on-demand businesses track Contrado pricing across product categories to optimise their own margins.
E-commerce merchants calculate potential profit margins by extracting base product costs and wholesale tiers.
Fashion brands build databases of fabric specifications, comparing GSM and material compositions across suppliers.
Analysts track catalogue expansions and new product launches to identify trending custom merchandise.
Material science platforms aggregate fabric properties, care instructions, and weave types for search indexes.
Procurement teams compare bulk discount thresholds against other custom textile printers.
"Contrado holds a highly detailed repository of custom textile specifications and print-on-demand pricing - critical data for apparel sourcing."
Extracting fabric specifications requires mapping complex parent-child variants across weights, widths, and bulk tiers. DataFlirt handles the JavaScript rendering and structural mapping so you get normalised textile data ready for analysis. We manage the infrastructure, you query the database.
Everything supported by our contrado.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, variant selection, and dynamic grid hydration.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required for complex configurators.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and alerting. State stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About contrado.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product catalogues, fabric specifications, and retail pricing is generally permissible. We do not extract authenticated user data, private designs, or bypass login walls.
We use Playwright to interact with the frontend configurator, iterating through quantity inputs to reveal and extract the complete wholesale discount matrix.
Yes. We capture GSM weight, weave type, maximum print width, care instructions, and material composition percentages for all listed fabrics.
Yes. We extract bleed areas, safe zones, required DPI, colour profiles, and links to the official template files for each product.
Yes. We can configure the crawler session to target specific regional sites or set currency cookies to extract pricing in GBP, USD, EUR, etc.
We support daily, weekly, or monthly runs. For large catalogues, we recommend weekly full scrapes with daily delta runs for pricing and stock changes.
Yes. We provide a sample run of up to 100 products or fabrics to validate the schema and data quality before contract signing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off fabric specification export or a continuous wholesale pricing feed, we build and operate the pipeline. Tell us your requirements.
