We extract MPNs, stock availability, lifecycle status, pricing tiers, and cross-references from Sourcengine. 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 Component Basics objects from sourcengine.com. All fields typed and schema-versioned.
"mpn": "STM32F405RGT6", "manufacturer": "STMicroelectronics", "description": "ARM Cortex-M4 32b MCU", "category": "Integrated Circuits", "lifecycle_status": "Active", "rohs_status": "Compliant"
| # | mpn | manufacturer | description | category | sub_category | lifecycle_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Tiers objects from sourcengine.com. All fields typed and schema-versioned.
"mpn": "STM32F405RGT6", "currency": "USD", "tier_1_qty": 1, "tier_1_price": 8.45, "tier_2_qty": 10, "tier_2_price": 7.9
| # | mpn | currency | tier_1_qty | tier_1_price | tier_2_qty | tier_2_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Inventory & Supply objects from sourcengine.com. All fields typed and schema-versioned.
"mpn": "STM32F405RGT6", "distributor_name": "Win Source", "stock_qty": 14500, "lead_time_weeks": 2, "factory_lead_time": 12, "auth_distributor": true
| # | mpn | distributor_name | stock_qty | lead_time_weeks | factory_lead_time | on_order_qty |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from sourcengine.com. All fields typed and schema-versioned.
"mpn": "STM32F405RGT6", "mounting_type": "Surface Mount", "package_case": "64-LQFP", "operating_temp": "-40C to 85C", "voltage_rating": "1.8V to 3.6V", "tolerance": "N/A"
| # | mpn | mounting_type | package_case | operating_temp | voltage_rating | tolerance |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Cross References objects from sourcengine.com. All fields typed and schema-versioned.
"mpn": "STM32F405RGT6", "replacement_mpn": "GD32F405RGT6", "replacement_manufacturer": "GigaDevice", "match_type": "Direct Replacement", "pin_compatible": true, "drop_in_replacement": true
| # | mpn | replacement_mpn | replacement_manufacturer | match_type | stock_available | price_delta |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Sourcengine scraper handles B2B firewalls, dynamic pricing tables, and complex MPN search pagination to deliver clean supply chain data.
Extract component attributes, descriptions, and packaging details directly from part number queries.
Record exact price breaks across all quantity tiers and minimum order quantities.
Monitor inventory levels across multiple global distributors listed on Sourcengine.
Track component obsolescence, active status, and RoHS compliance markers.
Extract and index PDF datasheet URLs for automated documentation pipelines.
Capture alternative manufacturer part numbers and pin-compatible replacements.
Map authorised versus independent distributors for risk assessment.
Feed bulk lists of internal part numbers to retrieve matching manufacturer parts.
Run daily or hourly pipelines that emit only changed pricing and stock values.
Brief in. Clean data out.
Provide MPN lists, category filters, or manufacturer targets. We map the extraction schema.
We configure Scrapy crawlers, proxy rotation, and session management for sourcengine.com.
Schema validation, null-rate checks, and price outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
B2B component marketplaces invest heavily in scraping detection. Here is how we stay resilient.
B2B portals use aggressive firewalls to block automated traffic. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management.
Sourcengine pricing tables and stock indicators are heavily JavaScript-rendered. We run full Playwright browser sessions to capture data that headless HTTP clients miss entirely.
Bulk MPN searches trigger rate limits quickly. We orchestrate search queues with distributed delays to extract large catalogues without triggering IP bans.
B2B portals change their DOM structure frequently. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline.
For large component catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Procurement teams automate BOM pricing using real-time tier data.
Track lifecycle status and lead times to predict component shortages.
Distributors benchmark their pricing against global market averages.
Engineers identify pin-compatible replacements for out-of-stock parts.
Analysts track category saturation and manufacturer market share.
Populate internal ERP systems with fresh stock and pricing data automatically.
"Sourcengine provides critical visibility into global component supply, but manual BOM costing is too slow for modern hardware procurement."
Most hardware teams underestimate the complexity of automating procurement data: reliable Sourcengine extraction requires residential proxies, full JavaScript rendering, and CAPTCHA handling. DataFlirt absorbs that complexity so your procurement team can focus on sourcing, not infrastructure.
Everything supported by our sourcengine.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. IP score monitoring prevents blacklisted pool contamination.
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 sourcengine.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated component and pricing data. Clients should review Sourcengine terms of service and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for rate spikes in real time and trigger pool rotation automatically.
Real-time streaming pipelines achieve sub-60-minute latency for price and stock signals on a defined MPN set. Full catalogue refreshes complete within a 6-12 hour window depending on size.
Yes. We can take your internal part numbers or manufacturer part numbers and run automated search queries to extract the matching component data and pricing tiers.
Our smallest packages start at a defined MPN list with weekly delivery. For larger catalogues or custom schema requirements, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 MPNs as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off component catalogue dump or a continuous price-monitoring feed across your entire BOM, we scope, build, and operate the pipeline.
