We extract yarn weights, fibre content, pattern requirements, pricing signals, and review corpora from Knitpicks. Delivered as clean JSON, CSV, or Parquet.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Yarn Products objects from knitpicks.com. All fields typed and schema-versioned.
"sku": "29431", "title": "Brava Worsted Yarn", "yarn_weight": "Worsted", "fibre_content": "100% Premium Acrylic", "yardage": "218 yards", "price": 3.99, "gauge": "4.5 - 5 sts = 1 inch on #7 - 8 needles"
| # | sku | title | brand | yarn_weight | fibre_content | yardage |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Patterns objects from knitpicks.com. All fields typed and schema-versioned.
"pattern_id": "52814D", "title": "Hue Shift Afghan", "designer": "Kerin Dimeler-Laurence", "difficulty": "Intermediate", "yarn_weight_required": "Sport", "price": 5.99, "needle_size": "US 5 (3.75mm)"
| # | pattern_id | title | designer | difficulty | yarn_weight_required | yardage_required |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Colourways & Inventory objects from knitpicks.com. All fields typed and schema-versioned.
"sku": "29431-BLU", "parent_sku": "29431", "colour_name": "Cornflower", "colour_family": "Blue", "in_stock": true, "price": 3.99, "stock_status": "In Stock"
| # | sku | parent_sku | colour_name | colour_family | hex_code | in_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from knitpicks.com. All fields typed and schema-versioned.
"review_id": "REV-98231", "sku": "29431", "star_rating": 5, "review_title": "Soft and easy to work with", "review_date": "2023-11-14", "verified_buyer": true, "helpful_votes": 12
| # | review_id | sku | product_type | reviewer_name | star_rating | review_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Kits & Bundles objects from knitpicks.com. All fields typed and schema-versioned.
"kit_id": "83021", "title": "Hue Shift Afghan Kit", "included_patterns": "['52814D']", "included_yarns": "['29431', '29432', '29433']", "price": 45.99, "discount_pct": 15, "in_stock": true
| # | kit_id | title | included_patterns | included_yarns | total_yardage | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Knitpicks scraper handles every layer of the platform, extracting detailed yarn specifications, dynamic colourway inventories, and pattern metadata with JavaScript rendering and session management built in.
Extract fibre content, yardage, weight classifications, gauge metrics, and care instructions across the entire yarn catalogue.
Capture stock status, pricing, and imagery for every individual colourway variant tied to a parent yarn SKU.
Extract required needle sizes, difficulty ratings, yardage requirements, and designer attribution for thousands of patterns.
Monitor base prices, sale discounts, and kit bundle savings across all product categories.
Full review text, star ratings, helpful vote counts, and verified buyer flags paginated across all product reviews.
Map kit SKUs to their constituent yarn and pattern components to calculate true discount percentages and inventory dependencies.
Preserve Knitpicks' internal categorisation for yarn weights, fibre families, and pattern types.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Track inventory depletion rates by monitoring out-of-stock flags on specific high-demand colourways.
Brief in. Clean data out.
Provide category URLs, specific yarn lines, or pattern types. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and interaction flows for knitpicks.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 accurate colourway and inventory data requires executing client-side scripts and managing state. Here is how we build resilient pipelines.
Knitpicks product pages use dynamic JavaScript to load colourway images and update stock status when a user selects a variant. We run full Playwright browser sessions to trigger these events and capture accurate variant data.
We utilise residential ISP proxies with realistic browser fingerprints and randomised request timing to prevent IP bans and rate limiting during deep catalogue crawls.
Our selector strategy uses multiple fallback chains per field, combining CSS selectors, XPath, and text-pattern matching to ensure layout updates do not break your data feed.
For daily inventory tracking, 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, responding before you even notice.
Craft and hobby retailers monitor Knitpicks pricing, kit discounts, and sale events to adjust their own promotional strategies.
Manufacturers analyse popular fibre blends, yarn weights, and colour families to inform upcoming product line development.
Analysts track out-of-stock rates across specific colourways to identify supply chain bottlenecks and demand surges.
Designers mine pattern metadata and review counts to understand which garment types and difficulty levels are currently trending.
Machine learning teams use structured pattern requirements and yarn specifications to train recommendation engines for crafters.
Independent designers track reviews and ratings on their patterns hosted on the Knitpicks platform.
"Knitpicks holds the definitive structured dataset for modern textile properties, fibre blends, and pattern metadata. This is available only if you build the pipeline."
Most teams underestimate the investment required. Reliable Knitpicks scraping requires residential proxies, full JavaScript rendering for dynamic colourway selectors, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our knitpicks.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, cookie sessions, and interaction flows for dynamic colour selectors.
We maintain pools of residential ISP proxies. Rotation happens per request with sticky sessions where required, preventing IP bans.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About knitpicks.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Knitpicks is generally permissible. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls.
We use Playwright to interact with the JavaScript-based colour selectors on product pages, capturing the specific SKU, stock status, and image URL for every individual colourway.
Yes. We extract structural metadata including difficulty levels, required yarn weights, total yardage, and specific needle sizes for all patterns in the catalogue.
No. We only extract the metadata, pricing, and descriptions associated with patterns. We do not download or distribute copyrighted PDF files.
Full catalogue refreshes at daily cadence complete within a 2 to 4 hour window. For specific high-priority SKUs, we can configure hourly stock monitoring pipelines.
Yes. We paginate through all product reviews, capturing star ratings, review text, verified buyer status, and helpful vote counts.
Our smallest packages start at a defined category scope with weekly delivery. For full catalogue tracking, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous inventory monitoring across thousands of SKUs, we scope, build, and operate the pipeline. Tell us what you need.
