We extract parametric data, pricing tiers, stock availability, lifecycle status, and datasheets from Avnet. 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 avnet.com. All fields typed and schema-versioned.
"mpn": "STM32F405RGT6", "manufacturer": "STMicroelectronics", "description": "MCU 32-bit ARM Cortex M4 RISC 1MB Flash 3.3V 64-Pin LQFP Tray", "category": "Integrated Circuits", "lifecycle_status": "Active", "rohs_status": "RoHS Compliant", "package_type": "LQFP-64"
| # | mpn | manufacturer | description | category | sub_category | lifecycle_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Stock objects from avnet.com. All fields typed and schema-versioned.
"mpn": "STM32F405RGT6", "stock_available": 14250, "factory_lead_time_weeks": 24, "min_order_qty": 160, "currency": "USD", "pricing_tiers": "['1: 12.45', '10: 11.20', '100: 9.85', '1000: 8.40']", "price_timestamp": "2026-05-12T09:14:00Z"
| # | mpn | stock_available | factory_lead_time_weeks | min_order_qty | pricing_tiers | currency |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Parametric Data objects from avnet.com. All fields typed and schema-versioned.
"mpn": "STM32F405RGT6", "core_processor": "ARM Cortex-M4", "core_size": "32-Bit", "speed": "168MHz", "program_memory_size": "1MB", "ram_size": "192K x 8", "voltage_supply": "1.8V ~ 3.6V", "operating_temperature": "-40C ~ 85C"
| # | mpn | core_processor | core_size | speed | connectivity | peripherals |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Compliance Data objects from avnet.com. All fields typed and schema-versioned.
"mpn": "STM32F405RGT6", "rohs_compliant": true, "reach_compliant": true, "eccn_code": "3A991A2", "htsus_code": "8542.31.0001", "country_of_origin": "PH", "moisture_sensitivity_level": "3 (168 Hours)"
| # | mpn | rohs_compliant | reach_compliant | eccn_code | htsus_code | taric_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Search Results objects from avnet.com. All fields typed and schema-versioned.
"keyword": "32-bit microcontroller", "position": 1, "mpn": "STM32F405RGT6", "manufacturer": "STMicroelectronics", "stock_status": "In Stock", "base_price": 12.45, "category_path": "Semiconductors > Microcontrollers", "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | position | mpn | manufacturer | stock_status | base_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Avnet scraper navigates complex parametric hierarchies, dynamic stock indicators, and tiered pricing tables with JavaScript rendering and anti-bot circumvention built in.
Extract core manufacturer part numbers, descriptions, and package types across millions of active and obsolete components.
Capture exact price breaks at 1, 10, 100, 1000, and reel quantities. Monitor pricing shifts dynamically across regions.
Monitor exact inventory counts across Avnet warehouses globally. Track factory lead times in weeks and minimum order quantities.
Extract detailed technical attributes like voltage, tolerance, operating temperature, and pin counts for precise filtering.
Capture RoHS status, REACH compliance, ECCN, HTSUS codes, and moisture sensitivity levels for procurement auditing.
Monitor part lifecycle status, EOL warnings, and identify direct drop-in replacements for obsolete components.
Map MPNs directly to manufacturer PDF datasheets and technical reference manuals for automated library population.
Extract pricing and availability data normalised across Americas, EMEA, and APAC regional storefronts.
Configure continuous pipelines at daily or sub-daily cadences with hash-based diffing to track stock and price volatility.
Brief in. Clean data out.
Provide MPN lists, manufacturer targets, or parametric categories. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and anti-bot handling for avnet.com.
Schema validation, null-rate checks, price-tier anomaly detection, and sample payloads before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Avnet uses aggressive bot mitigation and complex dynamic rendering for pricing. Here is how we maintain extraction stability.
Avnet employs strict Akamai bot mitigation based on TLS fingerprinting and request heuristics. Our infrastructure utilises residential ISP proxies with full browser fingerprint spoofing, mimicking legitimate procurement engineers navigating the site.
Pricing tiers and real-time stock indicators on Avnet are loaded asynchronously via JavaScript. We execute full Playwright browser sessions to hydrate these dynamic elements, capturing precise volume break data that static parsers miss.
Extracting category-wide data requires traversing complex multi-select parametric filters. Our crawlers systematically map and iterate through these search facets, ensuring comprehensive coverage of the component catalogue without missing paginated results.
For large BOM monitoring, we maintain a state file of last-seen stock levels and prices. Subsequent runs only emit records when inventory drops or pricing tiers shift, providing a clean signal for automated purchasing systems.
Aggressive scraping triggers immediate IP bans. We distribute request loads across vast proxy pools with randomised delays, adhering to strict concurrency limits to maintain continuous, uninterrupted data flow.
Hardware manufacturers track stock depth and factory lead times across their BOM to prevent line-down situations and production delays.
Independent distributors and brokers monitor Avnet pricing tiers to adjust their own margins and identify arbitrage opportunities.
Engineering teams calculate aggregate build costs across different volume tiers dynamically during the prototyping phase.
Procurement teams identify EOL components early by tracking lifecycle status flags and source cross-reference alternatives before stock depletes.
EDA tool providers and engineering platforms build internal component libraries populated with full technical specifications and datasheet links.
Global sourcing teams identify regional price discrepancies and stock imbalances across Avnet's geographic storefronts.
"Avnet holds critical supply chain telemetry - but extracting tiered pricing and real-time stock depth requires infrastructure that can outsmart enterprise bot protection."
Most teams fail at scraping electronic component distributors due to aggressive Akamai protection, complex JavaScript pricing tables, and deep parametric search trees. DataFlirt absorbs that complexity, providing clean MPN-level data so your procurement engineers can focus on sourcing strategy rather than pipeline maintenance.
Everything supported by our avnet.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 executes JavaScript to render dynamic pricing tiers and stock levels. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required to navigate Akamai bot mitigation without triggering blocks.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. State and change-detection hashes are stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About avnet.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Avnet is generally permissible under applicable law. DataFlirt targets only public, non-authenticated component specifications, public pricing tiers, and stock levels. We do not extract personal data or circumvent authentication walls to access gated contract pricing. Clients should review Avnet's ToS and consult legal counsel for specific use cases.
Avnet uses enterprise-grade edge protection. We navigate this using residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and strict concurrency limits to mimic normal human browsing behaviour.
Yes. Our pipeline captures the complete pricing matrix displayed on the public product page, including breaks at 1, 10, 100, 1000, and full reel quantities.
For a targeted list of critical MPNs (e.g., 10,000 parts), we can run hourly pipelines. For larger catalogue sweeps, daily or weekly cadences are recommended to respect rate limits and reduce compute costs.
We extract the direct URLs to the manufacturer datasheets provided on the Avnet listing. We can also configure the pipeline to download these PDFs directly to your S3 bucket if required.
Yes. We can scope the extraction based on a provided list of MPNs, specific manufacturer pages, or entire parametric categories (e.g., all 32-bit microcontrollers).
Our smallest packages start at a defined MPN list (typically 5,000-50,000 MPNs) with weekly delivery. For larger catalogues or custom schema requirements, we price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off parametric database dump or continuous stock monitoring across 500K MPNs - we scope, build, and operate the pipeline. Tell us what you need.
