We extract amigurumi kit listings, bundle configurations, pricing signals, inventory states, and customer reviews from thewoobles.com. Delivered as clean JSON, CSV, or Parquet to S3 or Snowflake on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Listings objects from thewoobles.com. All fields typed and schema-versioned.
"sku": "WB-PENGUIN-01", "title": "Pierre the Penguin", "product_type": "Crochet Kit", "skill_level": "Beginner", "price": 30.0, "currency": "USD", "stock_status": "in_stock"
| # | sku | title | product_type | skill_level | price | compare_at_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from thewoobles.com. All fields typed and schema-versioned.
"review_id": "REV-992817", "sku": "WB-PENGUIN-01", "rating": 5, "review_title": "So easy to follow!", "verified_buyer": true, "review_date": "2023-11-14"
| # | review_id | sku | reviewer_name | rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Inventory & Stock objects from thewoobles.com. All fields typed and schema-versioned.
"sku": "WB-YARN-EASY", "variant_id": "39481726", "variant_title": "The Woobles Easy Peasy Yarn - Yellow", "in_stock": true, "low_stock_warning": false, "scraped_at": "2023-12-01T08:14:00Z"
| # | sku | variant_id | variant_title | in_stock | stock_quantity | restock_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Bundles & Collections objects from thewoobles.com. All fields typed and schema-versioned.
"bundle_id": "BNDL-BEGINNER-4", "bundle_name": "Beginner Bundle", "bundle_price": 100.0, "total_value": 120.0, "discount_percentage": 16.6, "component_skus": "['WB-PENGUIN-01', 'WB-FOX-01', 'WB-BUNNY-01', 'WB-CHICK-01']"
| # | bundle_id | bundle_name | bundle_price | total_value | discount_percentage | component_skus |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Digital Patterns objects from thewoobles.com. All fields typed and schema-versioned.
"pattern_id": "PAT-DINOSAUR", "title": "Fred the Dinosaur Pattern", "difficulty": "Beginner+", "format": "PDF", "price": 5.0, "language": "English"
| # | pattern_id | title | difficulty | format | price | page_count |
|---|---|---|---|---|---|---|
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Our scraper handles Shopify's dynamic inventory states, nested bundle configurations, and paginated review widgets to deliver clean, analysis-ready datasets.
Extract titles, skill levels, descriptions, included materials, and variant details across the entire catalogue.
Capture current prices, compare-at prices, and bundle discount logic timestamped per extraction run.
Track in-stock status and variant availability to monitor product velocity and restock patterns.
Paginate through customer review widgets to extract ratings, text, verification status, and helpful votes.
Map complex bundles back to their base component SKUs to understand promotional packaging.
Separate physical kits from digital patterns, capturing difficulty levels and format requirements.
Run continuous pipelines that only output records when price, stock, or descriptions change.
Extract high-resolution image URLs for products, variants, and user-generated review photos.
Bypass HTML parsing where possible by targeting underlying Shopify JSON endpoints for precise data.
Brief in. Clean data out.
Provide target categories, product URLs, or request a full catalogue crawl. We design the schema together.
We configure Scrapy crawlers, proxy rotation, and Shopify endpoint interception for thewoobles.com.
Schema validation, null-rate checks, and bundle component mapping verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, Snowflake stage, or via Webhook on an agreed cadence.
The Woobles uses a modern Shopify headless stack. Here is how we ensure reliable data extraction.
Instead of relying solely on brittle DOM selectors, we intercept Shopify's underlying JSON endpoints to extract exact variant IDs, stock states, and pricing logic directly from the source.
Customer reviews are loaded via third-party JavaScript widgets. We target the review provider's API directly to paginate through thousands of reviews rapidly without rendering overhead.
E-commerce bundles often obscure underlying product data. Our pipeline normalises bundle listings, mapping them back to individual SKUs to provide accurate component-level pricing and stock data.
We route requests through US-based residential proxies with realistic TLS fingerprints to avoid rate limits and IP bans common to high-frequency e-commerce scraping.
Raw e-commerce data is messy. We clean HTML tags from descriptions, normalise currency formats, and enforce strict typing before data reaches your warehouse.
Craft and hobby brands track The Woobles pricing, bundle strategies, and new product launches to inform their own market positioning.
Market researchers analyse review corpora to understand beginner crochet pain points and feature requests.
Retail analysts monitor compare-at pricing and promotional discounting cadence across the catalogue.
Supply chain analysts track stock status changes over time to estimate sales volume and production cycles.
Merchandisers analyse the ratio of physical kits to digital patterns and accessories.
Investors track category expansion and review growth rates to evaluate brand momentum in the craft sector.
"The Woobles dominates the beginner crochet market. Tracking their kit configurations, pricing strategies, and review sentiment provides direct insight into craft sector consumer behaviour."
Extracting data from modern Shopify storefronts requires handling dynamic inventory states, nested bundle configurations, and paginated review widgets. DataFlirt manages the proxy rotation, JavaScript execution, and schema parsing so your team receives clean, normalised data ready for immediate analysis.
Everything supported by our thewoobles.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.
Handles concurrent requests, domain-specific throttling, and automated retries for transient network failures.
Bypasses standard HTML parsing to query Shopify JSON endpoints directly, ensuring accurate variant and stock data.
Post-processing pipeline cleans HTML from descriptions, standardises date formats, and enforces strict type checking.
Data delivered to where your team already works — no new tooling required.
About thewoobles.com scraping, legality, and pipeline operations.
Ask us directly →Yes. The pipeline captures data at the variant level, ensuring every colour, hook option, and size has its own record with associated pricing and stock status.
Pipelines can run on daily, weekly, or hourly schedules depending on your requirements. Hourly runs are typically used for strict inventory monitoring.
Yes. We paginate through the review widget to extract star ratings, review text, verifications, and timestamps for all products.
We extract the total bundle price, the stated value, and calculate the discount percentage. We also map the bundle back to its included base SKUs.
We extract the current state of the website at the time of the run. Historical time-series data builds up in your warehouse from the day the pipeline is commissioned.
We support JSON, CSV, Parquet, and direct database inserts. Files are typically delivered via AWS S3, but we support other cloud storage providers.
20-minute scoping call. Pilot dataset within the week. Production within two. Get structured product, pricing, and review data delivered directly to your warehouse. Contact us to define your schema.
