We extract yarn specifications, dye lots, pattern metadata, pricing signals, and reviews from Hobbii. 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 Yarn Listings objects from hobbii.com. All fields typed and schema-versioned.
"sku": "100234", "title": "Rainbow Cotton 8/4", "brand": "Hobbii", "composition": "100% Cotton", "yarn_weight": "Super Fine", "needle_size": "2.5 mm - 3.5 mm", "price": 2.15, "colour_count": 105
| # | sku | title | brand | composition | yarn_weight | needle_size |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Complete list of extractable fields for Colourways & Stock objects from hobbii.com. All fields typed and schema-versioned.
"sku": "100234-072", "parent_sku": "100234", "colour_name": "Dusty Blue", "colour_code": "072", "in_stock": true, "stock_depth": 450, "price": 2.15, "discount_pct": 0
| # | sku | parent_sku | colour_name | colour_code | hex_value | image_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Patterns objects from hobbii.com. All fields typed and schema-versioned.
"pattern_id": "P-4592", "title": "Summer Breeze Top", "category": "Knitting", "difficulty": "Intermediate", "designer": "Hobbii Design", "free_pattern": true, "rating": 4.8, "yarn_required": "Rainbow Cotton 8/4"
| # | pattern_id | title | category | difficulty | yarn_required | designer |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Offers objects from hobbii.com. All fields typed and schema-versioned.
"sku": "100234", "base_price": 2.15, "current_price": 1.75, "discount_pct": 18, "bulk_discount_tiers": "Buy 10 for 1.50 each", "currency": "USD", "sale_badge": "Spring Sale", "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | base_price | current_price | discount_pct | bulk_discount_tiers | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from hobbii.com. All fields typed and schema-versioned.
"review_id": "REV-99231", "sku": "100234", "rating": 5, "title": "Perfect for amigurumi", "body": "Softest cotton yarn I have used.", "helpful_votes": 12, "verified_buyer": true, "date": "2026-04-18"
| # | review_id | sku | reviewer_name | rating | title | body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Hobbii scraper handles every layer of the platform, from dynamic colour swatches and infinite pattern scrolls to regional pricing variations and stock depth.
Title, composition, gauge, needle size, weight, and care instructions scraped at the parent SKU level.
Extract individual colour codes, names, hex values, and swatch images for every variant under a parent yarn.
Capture designer names, difficulty levels, required yarns, and category tags across both free and paid patterns.
Track base prices, sale prices, discount percentages, and bulk-buy tier pricing timestamped per crawl.
Full review text, star ratings, helpful vote counts, and verified buyer flags paginated across all products.
Scrape localised pricing and availability across US, UK, EU, and Asian storefronts using targeted residential proxies.
Monitor inventory status and stock indicators per specific colourway to forecast demand and shortages.
Identify promotional campaigns, clearance items, and limited-time offers across the entire catalogue.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide category URLs, search terms, or specific SKU lists. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for hobbii.com.
Schema validation, null-rate checks, and sample data reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting textile data requires navigating dynamic interfaces and regional variations. Here is how we maintain stability.
Hobbii loads colourway data, stock status, and variant-specific pricing dynamically via JavaScript. We run full Playwright browser sessions to hydrate these widgets and capture data that headless HTTP clients miss entirely.
Pricing and availability change based on the IP location. Our crawlers use region-specific residential proxies with full cookie session management to extract accurate local pricing.
Category pages and pattern lists use infinite scroll mechanisms. Our pipeline simulates user scrolling and intercepts the underlying API calls to extract complete product lists without missing items.
Our selector strategy uses multiple fallback chains per field, including CSS selectors, XPath, and JSON-LD extraction, ensuring layout updates do not break your data feed.
For large yarn catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing storage bloat and downstream processing load.
Textile retailers monitor Hobbii pricing, bulk discounts, and sale events to adjust their own pricing strategies.
Analysts track the popularity of specific yarn weights, compositions, and colourways based on review velocity and stock movement.
Machine learning teams use pattern metadata, difficulty levels, and required gauge data to train generative models for knitting and crochet.
Supply chain teams correlate stock depth indicators and sale events to predict seasonal demand for specific yarn types.
Brands analyse the ratio of synthetic to natural fibres in the catalogue to identify shifts in consumer preference.
Product teams mine review text to understand common complaints about yarn splitting, dye lot inconsistencies, or colour accuracy.
"Hobbii holds the defining dataset for global yarn composition, pricing trends, and consumer knitting patterns. Querying it requires purpose-built infrastructure."
Extracting textile data at scale involves navigating dynamic colourway swatches, regional pricing variations, and infinite scroll pagination. DataFlirt manages the residential proxies and rendering layers so your team receives clean, structured output without maintaining selectors.
Everything supported by our hobbii.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required for consistent regional pricing.
Pipelines run on AWS Lambda and ECS. 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 hobbii.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Hobbii 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 the JavaScript responsible for loading variant data, ensuring we capture every colourway, stock status, and variant-specific price.
Yes. We route requests through geo-targeted residential proxies to capture localized pricing, currency, and availability for any specific region Hobbii supports.
Full catalogue refreshes at daily cadence complete within a 4-8 hour window depending on size. Real-time pipelines can achieve sub-60-minute latency for specific high-priority SKUs.
Our smallest packages start at a defined category list with weekly delivery. For full catalogue extraction, we price based on volume and delivery frequency.
Yes. We provide a sample run of up to 500 SKUs as part of the pre-engagement scoping process so you can validate schema fit and field completeness.
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 all yarn variants, we build and operate the pipeline. Tell us what you need.
