We extract electronic component listings, tiered pricing, inventory levels, datasheets, and lifecycle compliance from Arrow. 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 Specs objects from arrow.com. All fields typed and schema-versioned.
"mpn": "STM32F405RGT6", "manufacturer": "STMicroelectronics", "description": "MCU 32-bit ARM Cortex M4 RISC 1MB Flash 2.5V/3.3V 64-Pin LQFP Tray", "category": "Integrated Circuits", "lifecycle_status": "Active", "rohs_status": "Compliant", "packaging": "Tray"
| # | mpn | manufacturer | description | category | sub_category | lifecycle_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Inventory objects from arrow.com. All fields typed and schema-versioned.
"mpn": "STM32F405RGT6", "stock_level": 14500, "warehouse_location": "Reno, NV", "moq": 1, "price_tier_1": 8.45, "price_tier_100": 7.12, "currency": "USD"
| # | mpn | stock_level | warehouse_location | lead_time_weeks | moq | price_tier_1 |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Attributes objects from arrow.com. All fields typed and schema-versioned.
"mpn": "GRM188R71H104KA93D", "capacitance": "0.1 uF", "tolerance": "10%", "voltage_rating": "50 V", "package_case": "0603 (1608 Metric)", "operating_temp": "-55 C to 125 C", "temperature_coefficient": "X7R"
| # | mpn | capacitance | tolerance | voltage_rating | package_case | size_dimension |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Datasheets & Media objects from arrow.com. All fields typed and schema-versioned.
"mpn": "STM32F405RGT6", "datasheet_url": "https://www.arrow.com/datasheet/stm32f405.pdf", "image_url": "https://static.arrow.com/images/stm32.jpg", "cad_model_url": "https://www.arrow.com/cad/stm32f405.step", "pcb_footprint_url": "https://www.arrow.com/footprint/stm32f405.bxl", "compliance_doc_url": "https://www.arrow.com/compliance/rohs.pdf"
| # | mpn | datasheet_url | image_url | cad_model_url | pcb_footprint_url | compliance_doc_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Alternatives objects from arrow.com. All fields typed and schema-versioned.
"mpn": "LM358N", "manufacturer": "Texas Instruments", "alternative_mpn": "LM358P", "cross_reference_type": "Drop-In Replacement", "upgrade_available": true, "obsolescence_date": "None"
| # | mpn | manufacturer | suggested_alternatives | drop_in_replacements | upgrade_parts | similar_specs |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Arrow scraper handles complex tabular layouts, deep category pagination, and dynamic pricing updates, delivering structured BOM data directly to your warehouse.
Extract Manufacturer Part Numbers (MPN), descriptions, technical attributes, package types, and physical dimensions.
Scrape dynamic pricing tables across all quantity breaks, minimum order quantities (MOQ), and currency options.
Monitor stock levels across different Arrow warehouses, factory lead times, and availability status.
Extract direct URLs for PDF datasheets, 3D CAD models, PCB footprints, and product training modules.
Track lifecycle status (Active, NRND, Obsolete) and environmental compliance (RoHS, REACH).
Capture suggested alternatives, drop-in replacements, and upgrade paths for obsolete components.
Target specific manufacturers to audit their entire Arrow catalogue, pricing strategy, and stock depth.
Track factory lead time fluctuations to forecast supply chain bottlenecks before they impact production.
Run one-off bulk exports or configure continuous pipelines at daily or real-time cadences with change-detection.
Brief in. Clean data out.
Provide MPN lists, manufacturer names, or category URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for arrow.com.
Schema validation, null-rate checks, and pricing accuracy verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Distributor websites deploy aggressive anti-bot measures to protect pricing data. Here is how we ensure reliable delivery.
Arrow uses strict bot management. Our crawlers use residential ISP proxies with realistic browser fingerprints and automated CAPTCHA solving to maintain access without IP bans.
Pricing tiers and real-time stock levels are loaded dynamically via JavaScript. We use Playwright to execute page scripts and capture the final rendered DOM state.
Component categories contain hundreds of thousands of parts. Our crawlers manage deep pagination state, ensuring zero data loss across extensive catalogue sections.
For large BOM lists, we maintain a hash index of last-seen values. Subsequent runs only push diffs, reducing downstream processing load and storage costs.
We monitor for null-rate spikes, layout changes, and coverage drops. Automated fallback selectors ensure schema stability when Arrow updates their frontend.
Hardware engineering teams track component pricing across tiers to optimise Bill of Materials costs before mass production.
Procurement teams monitor real-time stock levels and factory lead times to mitigate component shortages.
Other electronic distributors track Arrow's pricing strategy to adjust their own margins and promotional offers.
Lifecycle management platforms ingest NRND and Obsolete statuses to alert engineers to redesign requirements.
Analysts track semiconductor availability and pricing trends to gauge broader industry supply chain health.
Aggregators ingest Arrow's catalogue to provide unified search across multiple distributors.
"Arrow Electronics holds critical supply chain metadata — but querying millions of MPNs for real-time stock and pricing requires dedicated infrastructure."
Most teams underestimate the investment required: reliable Arrow scraping requires residential proxies, full JavaScript rendering for dynamic pricing tables, CAPTCHA handling, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our arrow.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. Combined via scrapy-playwright middleware.
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 (burst) and ECS (sustained). 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 arrow.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Arrow is generally permissible under applicable law. DataFlirt targets only public, non-authenticated component, pricing, and stock data. We do not extract personal data or circumvent authentication walls. Clients should review Arrow's ToS and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and automated CAPTCHA solvers. We monitor for rate spikes in real time and trigger pool rotation automatically.
Yes. We capture all quantity breaks, minimum order quantities (MOQ), and unit prices displayed on the component page.
Real-time streaming pipelines achieve sub-60-minute latency for stock and pricing signals on a defined MPN list. Full catalogue refreshes operate on daily or weekly schedules.
Our standard schema provides direct URLs to the PDF datasheets hosted on Arrow. If required, we can configure a pipeline to download and store the actual PDF files in your S3 bucket.
Our smallest packages start at a defined MPN list (typically 1,000-50,000 parts) with weekly delivery. For larger catalogues, we price based on volume and delivery frequency.
Yes. We extract lifecycle statuses such as Active, Not Recommended for New Designs (NRND), and Obsolete, allowing you to manage component end-of-life transitions.
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 500K MPNs — we scope, build, and operate the pipeline. Tell us what you need.
