We extract electronic component listings, tiered pricing, stock availability, and technical attributes from Farnell. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or your ERP 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 Details objects from farnell.com. All fields typed and schema-versioned.
"sku": "3124567", "mpn": "CRCW040210K0FKED", "manufacturer": "Vishay", "description": "SMD Resistor, 10kOhm, 1%, 0.063W, 0402", "category": "Passive Components", "rohs_status": "Compliant"
| # | sku | mpn | manufacturer | description | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Tiers objects from farnell.com. All fields typed and schema-versioned.
"sku": "3124567", "currency": "GBP", "price_qty_1": 0.12, "price_qty_10": 0.08, "price_qty_100": 0.05, "price_qty_1000": 0.02
| # | sku | currency | price_qty_1 | price_qty_10 | price_qty_100 | price_qty_500 |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Stock & Lead Times objects from farnell.com. All fields typed and schema-versioned.
"sku": "3124567", "in_stock": true, "stock_qty": 45000, "lead_time_days": 0, "min_order_qty": 100, "order_multiple": 100
| # | sku | in_stock | stock_qty | awaiting_delivery | lead_time_days | min_order_qty |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Parametric Data objects from farnell.com. All fields typed and schema-versioned.
"sku": "3124567", "resistance": "10kOhm", "tolerance": "1%", "power_rating": "0.063W", "package_type": "0402", "mounting_type": "Surface Mount"
| # | sku | resistance | tolerance | power_rating | voltage_rating | package_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Alternatives objects from farnell.com. All fields typed and schema-versioned.
"sku": "3124567", "replacement_sku": "8765432", "replacement_mpn": "RC0402FR-0710KL", "match_type": "Direct Replacement", "reason": "Original Obsolete", "replacement_stock": 120000
| # | sku | original_mpn | replacement_sku | replacement_mpn | match_type | reason |
|---|---|---|---|---|---|---|
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Our Farnell scraper handles every layer of the catalogue: deep parametric tables, dynamic stock indicators, volume pricing structures, and datasheet links - complete with anti-bot circumvention.
Capture MPNs, order codes, descriptions, and category hierarchies across millions of electronic and industrial parts.
Extract complete pricing matrices, including quantity breaks, base prices, and currency normalisation.
Monitor live inventory counts, awaiting delivery statuses, minimum order quantities, and packaging multiples.
Extract and normalise technical specifications like voltage, resistance, tolerance, and package types into queryable keys.
Collect direct URLs for manufacturer datasheets, CAD models, and compliance certificates for your internal databases.
Track RoHS compliance, SVHC status, and component lifecycle flags (e.g., obsolete, new, no longer manufactured).
Map drop-in replacements and suggested alternatives when primary components face supply chain shortages.
Extract data from Farnell UK, Newark US, and element14 APAC variants using localised session headers.
Run continuous pipelines that only emit records when price or stock levels change, saving storage and compute.
Brief in. Clean data out.
Provide BOM lists, manufacturer names, category URLs, or target MPNs. We design the extraction schema together.
We configure Scrapy crawlers, residential proxy rotation, and Akamai bypass mechanisms for farnell.com.
Schema validation, null-rate checks, and parametric data normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or directly to your ERP via API.
Industrial distributors deploy strict edge protections and complex DOM structures. Here is how we maintain reliable extraction.
Farnell uses Akamai to block automated traffic. Our crawlers use residential ISP proxies with clean TLS fingerprints, realistic browser headers, and session management to ensure uninterrupted access.
Stock levels and certain pricing tiers load asynchronously. We run full Playwright browser sessions to capture the final DOM state, ensuring no critical inventory data is missed.
Farnell displays thousands of unique technical attributes. We map these diverse parametric columns into clean, typed JSON keys, making the output immediately queryable in your database.
The Premier Farnell group operates distinct sites (Newark, element14). We route requests through region-specific proxy pools and handle locale-specific DOM variations automatically.
For massive catalogues, we maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs for price or stock changes, reducing downstream ERP processing load.
Contract manufacturers automate bill of materials costing by matching internal part lists against live Farnell pricing tiers.
Procurement teams monitor live stock levels and lead times across critical components to prevent production line halts.
Other electronic component distributors track Farnell pricing strategies to adjust their own volume discount structures.
Engineering firms populate internal ERPs with accurate MPNs, descriptions, and datasheet URLs directly from the distributor.
Design engineers track component lifecycle flags to identify end-of-life parts before committing them to new PCB designs.
Purchasing systems ingest real-time stock and price APIs to automatically route orders to the cheapest distributor with available inventory.
"Farnell holds critical supply chain data for millions of electronic components, but manual BOM scrubbing destroys procurement margins."
Extracting component data at scale requires bypassing strict edge protections, rendering dynamic stock tables, and normalising thousands of parametric attributes. DataFlirt handles the infrastructure complexity so your procurement team can focus on sourcing strategy and cost reduction.
Everything supported by our farnell.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 across UK/US/APAC regions. 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 farnell.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Farnell 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 Farnell 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 to bypass Akamai edge protections. We monitor for block rate spikes in real time and trigger pool rotation automatically.
We support Farnell UK, Newark US, and element14 APAC sites. Pricing and stock data are extracted using the appropriate regional domains and currency formatting.
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 12-24 hour window depending on scale.
Yes. We capture Farnell suggested alternatives, direct replacements, and upgrade paths, including the reason for substitution and the replacement part MPN.
Our smallest packages start at a defined BOM 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.
Absolutely. We provide a sample run of up to 1,000 MPNs as part of the pre-engagement scoping process, allowing you to validate schema fit and data quality before signing any contract.
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 1M MPNs, we scope, build, and operate the pipeline. Tell us what you need.
