SYSTEM all green source sonepar.com queue 12,841 pages p99 latency 218ms dataflirt.com · scraper/sonepar-com
RUN · 42 active pipelines · sonepar.com live

Sonepar data,
at warehouse scale.

We extract electrical components, technical specifications, MPNs, and branch inventory from Sonepar. Delivered as clean JSON, CSV, or Parquet to your warehouse.

SKUs extracted
412K /day
Inventory updates
1.2M /24h
Datasheets parsed
85K /run
Active pipelines
42
Uptime
99.94%
Data Dictionary

Every field we extract from sonepar.com

Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.

Complete list of extractable fields for Product Core objects from sonepar.com. All fields typed and schema-versioned.

skutitlebrandmpneancategorysub_categorydescriptionimage_url
product_core
● 200 OK
"sku": "SON-847291",
"title": "Acti9 iC60N Miniature Circuit Breaker",
"brand": "Schneider Electric",
"mpn": "A9F74116",
"ean": "3606480440432",
"category": "Power Distribution",
"description": "Miniature circuit breaker, Acti9 iC60N, 1P, 16 A, C curve, 6000 A (IEC 60898-1), 10 kA (IEC 60947-2)."
# skutitlebrandmpneancategory
1
2
3

Complete list of extractable fields for Technical Specs objects from sonepar.com. All fields typed and schema-versioned.

skuvoltage_ratingcurrent_ratingmounting_typeip_ratingmaterialdimensionsweightoperating_temperature
technical_specs
● 200 OK
"sku": "SON-847291",
"voltage_rating": "230V AC",
"current_rating": "16A",
"mounting_type": "DIN Rail",
"ip_rating": "IP20",
"dimensions": "85 x 18 x 78.5 mm",
"weight": "0.125 kg"
# skuvoltage_ratingcurrent_ratingmounting_typeip_ratingmaterial
1
2
3

Complete list of extractable fields for Inventory & Availability objects from sonepar.com. All fields typed and schema-versioned.

skubranch_idbranch_namestock_levellead_time_daysdelivery_optionsclick_and_collectstock_statuslast_updated
inventory_& availability
● 200 OK
"sku": "SON-847291",
"branch_id": "BR-492",
"branch_name": "Berlin Central",
"stock_level": 145,
"lead_time_days": 1,
"click_and_collect": true,
"stock_status": "In Stock",
"last_updated": "2026-05-12T10:15:00Z"
# skubranch_idbranch_namestock_levellead_time_daysdelivery_options
1
2
3

Complete list of extractable fields for Pricing & Packaging objects from sonepar.com. All fields typed and schema-versioned.

skulist_pricecurrencymoqpackaging_unitprice_per_unitvolume_discount_tiersvat_rateprice_timestamp
pricing_& packaging
● 200 OK
"sku": "SON-847291",
"list_price": 14.5,
"currency": "EUR",
"moq": 1,
"packaging_unit": "Piece",
"price_per_unit": 14.5,
"vat_rate": 19,
"price_timestamp": "2026-05-12T10:15:00Z"
# skulist_pricecurrencymoqpackaging_unitprice_per_unit
1
2
3

Complete list of extractable fields for Compliance & Docs objects from sonepar.com. All fields typed and schema-versioned.

skurohs_statusreach_statusce_markwarranty_monthsmanual_urlcad_model_urldatasheet_urlcertificate_url
compliance_& docs
● 200 OK
"sku": "SON-847291",
"rohs_status": "Compliant",
"reach_status": "Compliant",
"ce_mark": true,
"warranty_months": 18,
"datasheet_url": "https://sonepar.com/docs/A9F74116_datasheet.pdf",
"certificate_url": "https://sonepar.com/docs/A9F74116_ce.pdf"
# skurohs_statusreach_statusce_markwarranty_monthsmanual_url
1
2
3

Capabilities

Extract industrial electrical data with precision

Our Sonepar scraper navigates complex B2B taxonomies, extracts deeply nested technical specifications, and captures branch-specific inventory levels using residential proxies and headless rendering.

MPN & EAN Extraction

Capture Manufacturer Part Numbers and EAN codes to build reliable cross-reference databases across your entire supply chain.

Technical Specification Parsing

Extract and normalise voltage ratings, mounting types, IP ratings, and dimensions into structured key-value pairs.

Branch-Level Inventory

Inject location cookies to capture stock levels, lead times, and click-and-collect availability for specific regional branches.

PDF Datasheet Aggregation

Scrape direct URLs for technical manuals, CAD models, and compliance certificates associated with each SKU.

Cross-Reference Mapping

Extract alternative product suggestions and related accessories to map compatible components.

Category Taxonomy

Maintain the full category path for every product, ensuring accurate placement in your PIM or ERP system.

List Pricing Capture

Extract baseline list prices, minimum order quantities, and packaging units timestamped per crawl.

Compliance Data

Track RoHS, REACH, and CE marking statuses to ensure procurement meets regulatory requirements.

Multi-Region Support

Target specific Sonepar regional domains and language variants to capture localised product catalogues.

// engagement pipeline

From component list to warehouse record

Brief in. Clean data out.

Define Scope
d 0

Provide manufacturer lists, category URLs, or specific MPNs. We design the extraction schema together.

Pipeline Build
d 2–4

We configure Scrapy and Playwright crawlers, proxy rotation, and session management for Sonepar domains.

Validation & QA
d 4–6

Schema validation, null-rate checks, and technical attribute normalisation before full launch.

Delivery
ongoing

JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.

Under the hood

How our Sonepar pipeline handles the hard parts

B2B distribution sites present unique extraction challenges. Here is how we maintain reliable data flow.

pipeline-monitor · sonepar.com · live ● active
// fingerprinting
Identity rotation
TLS fingerprintrandomised
User-agentrotated
IP poolresidential
Challenges blocked0
// pagination
Page coverage
48,291 pages queued running
// observability
Pipeline health
99.9%
uptime
142ms
p99 lat
0.3%
null rate
2
alerts
B2B portal rendering
Playwright for SPA content

Sonepar relies on JavaScript for rendering technical tables and availability data. We use Playwright to execute full browser sessions, ensuring no dynamic content is missed during extraction.

Branch geolocation
Cookie injection for local stock

Inventory levels vary by branch. We inject specific location cookies and headers to simulate regional sessions, capturing accurate stock data for your target distribution centres.

Schema standardisation
Normalising technical attributes

Manufacturers supply data in varying formats. We parse unstructured specification tables and normalise units of measurement, providing a clean, queryable dataset for your engineering teams.

Rate limiting
Residential proxy rotation

To prevent IP bans during deep catalogue crawls, we route requests through residential ISP proxies with realistic timing delays, mimicking standard procurement behaviour.

Change detection
Only re-scrape what has changed

We maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs for price or inventory changes, reducing compute cost and downstream processing load.

Applications

Who uses Sonepar data and how

Teams across industries use sonepar.com data to build competitive products and smarter operations.

01
Competitor Price Benchmarking

Industrial distributors monitor Sonepar list prices to adjust their own pricing strategies and maintain market competitiveness.

02
Procurement Automation

Manufacturing firms ingest stock levels and lead times into their ERP systems to optimise purchasing workflows and prevent line stoppages.

03
PIM Enrichment

Retailers and wholesalers extract technical specifications and datasheet URLs to populate their Product Information Management systems.

04
Supply Chain Visibility

Analysts track branch-level inventory fluctuations across key components to identify regional supply chain bottlenecks.

05
Cross-Reference Building

Data teams use MPNs and alternative product mappings to build comprehensive cross-reference databases for electrical components.

06
Market Share Analysis

Manufacturers monitor brand representation and category placement within Sonepar to evaluate their distribution footprint.

Why DataFlirt

"Sonepar holds the most comprehensive catalogue of electrical components globally, but extracting structured technical attributes requires dedicated infrastructure."

Extracting B2B electrical data involves parsing nested technical specifications, handling branch-specific inventory state, and downloading compliance documents. DataFlirt manages the proxy rotation, JavaScript rendering, and schema normalisation so your engineers receive clean data.

Technical Spec

Sonepar scraper technical capabilities

Everything supported by our sonepar.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.

JavaScript rendering
Full Playwright sessions required for dynamic specification tables and inventory widgets
Supported
Branch-specific inventory
Capture stock levels and lead times for targeted regional distribution centres
Supported
PDF datasheet URLs
Extract direct links to installation manuals, CAD files, and compliance certificates
Supported
Technical attribute normalisation
Parse raw specification text into structured key-value pairs
Supported
Manufacturer cross-referencing
Extract MPNs and alternative component suggestions
Supported
Change detection (diffs)
Hash-based diff to only emit records with changed fields since last run
Supported
Account-specific negotiated pricing
Requires authenticated sessions with specific customer credentials
Partial
Customer order history
Private account data is not extracted by our public data pipelines
Partial
Infrastructure

Infrastructure powering the Sonepar pipeline

Open-source tooling on proven cloud infra — no vendor lock-in, full observability.

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheus
Scrapy + Playwright Stack

Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering and branch location cookie injection.

Residential Proxy Infrastructure

We maintain pools of residential ISP proxies across EU regions. Rotation happens per-request to avoid rate limits during deep catalogue crawls.

Cloud-Native Orchestration

Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.

Output & Delivery

Your data, your destination

Data delivered to where your team already works — no new tooling required.

JSON
Newline-delimited or nested schema
CSV
Flat file with typed columns
XLS
Excel compatible format for procurement teams
Parquet
Columnar format for data warehouses
AWS S3
Direct bucket delivery
Webhook
HTTP POST per record for immediate updates
API
REST endpoint for on-demand querying
PostgreSQL
Upsert into your existing database schema
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About sonepar.com scraping, legality, and pipeline operations.

Ask us directly →
Can you extract inventory levels for specific Sonepar branches?

Yes. We configure the scraper to inject specific location cookies, allowing us to capture stock levels, lead times, and click-and-collect availability for your target distribution centres.

Do you extract PDF datasheets and compliance certificates?

We extract the direct URLs to all associated documentation, including installation manuals, CAD files, RoHS certificates, and CE declarations. These URLs are included in the final dataset.

How do you handle Sonepar's regional domains?

Sonepar operates multiple regional sites with varying architectures. We adapt our extraction schema to target specific country domains, normalising the output into a single consistent format for your warehouse.

Can you capture account-specific pricing?

No. DataFlirt extracts publicly available list prices. We do not process authenticated sessions or extract negotiated customer-specific pricing.

How frequently can you update inventory data?

We can configure pipelines to run daily or hourly for a targeted subset of critical SKUs. Full catalogue refreshes typically run on a weekly cadence due to volume.

Do you extract Manufacturer Part Numbers (MPNs) and EANs?

Yes. MPNs, EANs, and UPCs are primary extraction targets, ensuring you can accurately cross-reference Sonepar data with your internal ERP or PIM systems.

$ dataflirt scope --new-project --source=sonepar.com ready

Tell us what
to extract.
We do the rest.

20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue export or a continuous inventory feed across 500K SKUs, we scope, build, and operate the pipeline. Tell us what you need.

hello@dataflirt.com · Bengaluru · IST · typical reply < 4h
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