We extract MPNs, stock levels, tiered pricing, and datasheets from Win-Source.Net. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake for your supply chain models.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Specs objects from win-source.net. All fields typed and schema-versioned.
"mpn": "STM32F103C8T6", "win_source_sku": "WS-123456", "manufacturer": "STMicroelectronics", "category": "Integrated Circuits (ICs)", "lifecycle_status": "Active", "rohs_status": "Compliant", "packaging": "Tray"
| # | mpn | win_source_sku | manufacturer | description | category | lifecycle_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Stock objects from win-source.net. All fields typed and schema-versioned.
"mpn": "STM32F103C8T6", "stock_available": 14500, "lead_time_days": 0, "moq": 1, "price_tier_1": 2.45, "price_tier_100": 1.95, "currency": "USD"
| # | mpn | stock_available | lead_time_days | moq | price_tier_1 | price_tier_10 |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Attributes objects from win-source.net. All fields typed and schema-versioned.
"mpn": "STM32F103C8T6", "core_processor": "ARM Cortex-M3", "core_size": "32-Bit", "speed": "72MHz", "connectivity": "CANbus, I2C, IrDA, LINbus, SPI, UART/USART", "voltage_supply": "2V ~ 3.6V", "operating_temperature": "-40°C ~ 85°C (TA)"
| # | mpn | core_processor | core_size | speed | connectivity | peripherals |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Alternatives objects from win-source.net. All fields typed and schema-versioned.
"mpn": "STM32F103C8T6", "alternative_mpn": "GD32F103C8T6", "alternative_manufacturer": "GigaDevice", "match_type": "Drop-in Replacement", "stock_available": 45000, "price_comparison": -0.45, "package_match": true
| # | mpn | alternative_mpn | alternative_manufacturer | match_type | stock_available | price_comparison |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Category Taxonomy objects from win-source.net. All fields typed and schema-versioned.
"category_id": "cat_452", "category_name": "Microcontrollers", "parent_category": "Integrated Circuits (ICs)", "breadcrumb": "Home > ICs > Embedded > Microcontrollers", "total_parts": 84210, "active_parts": 79000, "scraped_at": "2024-05-12T09:14:00Z"
| # | category_id | category_name | parent_category | breadcrumb | total_parts | active_parts |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Win-Source scraper navigates deep category trees, handles complex pagination, and renders dynamic pricing tables to deliver accurate supply chain intelligence.
MPN, SKU, descriptions, and all parametric data across millions of electronic components.
Extract price breaks at MOQ, 10, 100, and 1000+ quantities for accurate BOM costing.
Monitor exact stock quantities and factory lead times to prevent supply chain disruptions.
Collect direct PDF URLs for technical datasheets and reference manuals.
Track component obsolescence (NRND, Obsolete) and environmental compliance markers.
Extract all technical attributes like voltage, tolerance, and package case for cross-referencing.
Capture suggested drop-in replacements and cross-references for out-of-stock items.
Navigate deep taxonomies from passive components to complex embedded ICs.
Feed your ERP or MRP systems with daily or hourly pricing and stock diffs.
Brief in. Clean data out.
Provide MPN lists, category URLs, or manufacturer names. We design the extraction schema.
We configure Scrapy crawlers, proxy rotation, and bot circumvention for win-source.net.
Schema validation, stock anomaly detection, and sample data delivery before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Component distributors deploy strict rate limits to protect their pricing data. Here is how we maintain reliable extraction.
Win-Source deploys strict rate limiting and bot protection. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to maintain access.
Category pages contain tens of thousands of parts. We implement stateful cursor tracking to ensure complete extraction without dropping records deep in the pagination tree.
Tiered pricing and stock levels often load asynchronously. We execute full Playwright sessions to hydrate dynamic tables before extraction.
For large BOM lists, we maintain a hash index of last-seen values. Subsequent runs only push price or stock diffs, reducing downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, missing pricing, or schema drift, ensuring your ERP always receives valid data.
Procurement teams automate Bill of Materials pricing by fetching real-time tiered costs across thousands of components.
Monitor stock levels and lead times to detect potential shortages before they impact production lines.
Distributors track Win-Source pricing to optimise their own margins and identify market pricing trends.
Track lifecycle statuses to identify End-of-Life (EOL) components and secure inventory or find alternatives.
Engineering teams aggregate technical attributes to build internal component libraries and CAD tool integrations.
Automatically identify drop-in replacements when primary manufacturers face production delays.
"Win-Source holds critical pricing and stock data for millions of components. Without automated extraction, procurement teams are flying blind in a volatile supply chain."
Manual BOM quoting is slow and error-prone. Reliable component scraping requires residential proxies, dynamic table rendering, and strict schema validation. DataFlirt manages this infrastructure so your procurement systems always have the latest market truth.
Everything supported by our win-source.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 crawl orchestration and retry logic. Playwright handles JavaScript rendering and interaction flows for complex pricing tables.
We maintain pools of residential ISP proxies. Rotation happens per-request to bypass strict rate limits on component distributors.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. State stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About win-source.net scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available component pricing and stock data is generally permissible. DataFlirt extracts only public, non-authenticated catalog data. We do not circumvent authentication walls.
We use residential ISP proxies and randomised request timing. Our distributed architecture ensures we can extract large BOM lists without triggering IP bans.
Yes. We capture the complete pricing matrix, including Minimum Order Quantities (MOQ) and unit prices at every volume break.
Pipelines can be configured to run hourly or daily. For critical BOM lists, we offer high-frequency polling to detect stock-outs immediately.
We extract the direct URLs to the manufacturer PDF datasheets and reference manuals associated with each component.
Yes. We extract suggested cross-references and drop-in replacements listed on the component detail pages.
We start with a defined list of MPNs or specific manufacturer categories. Contact us with your target volume for a precise infrastructure quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need continuous stock monitoring for a critical BOM or a full catalog extraction for parametric search. We build the pipeline.
