SYSTEM all green source schneider-electric.com queue 18,394 pages p99 latency 218ms dataflirt.com · scraper/schneider-electric-com
RUN - 42 active pipelines - schneider-electric.com live

Schneider Electric data,
at warehouse scale.

We extract industrial automation catalogues, TeSys/Acti9 specifications, CAD assets, and Green Premium compliance data from Schneider Electric. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.

SKUs extracted
312K /run
Datasheets parsed
84.5K /24h
CAD models mapped
112K /week
Active pipelines
42
Uptime
99.98%
Data Dictionary

Every field we extract from schneider-electric.com

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

Complete list of extractable fields for Product Specifications objects from schneider-electric.com. All fields typed and schema-versioned.

sku_referenceproduct_rangeproduct_namedescriptionean_codeupc_codeprimary_categorytechnical_attributesvoltage_ratingcurrent_ratingdimensionsweightimage_urlspage_url
product_specifications
● 200 OK
"sku_reference": "LC1D09M7",
"product_range": "TeSys Deca",
"product_name": "TeSys D contactor - 3P(3 NO) - AC-3 - <= 440 V 9 A - 220 V AC coil",
"ean_code": "3389110348827",
"voltage_rating": "690 V AC 25...400 Hz",
"current_rating": "9 A",
"primary_category": "Motor Control & Protection"
# sku_referenceproduct_rangeproduct_namedescriptionean_codeupc_code
1
2
3

Complete list of extractable fields for Lifecycle & Obsolescence objects from schneider-electric.com. All fields typed and schema-versioned.

sku_referencecommercial_statusend_of_commercialisation_dateend_of_service_datereplacement_skureplacement_namereplacement_urlupgrade_pathobsolescence_reason
lifecycle_& obsolescence
● 200 OK
"sku_reference": "GV2ME08",
"commercial_status": "Commercialised",
"end_of_commercialisation_date": "None",
"replacement_sku": "None",
"upgrade_path": "TeSys Deca frame 2",
"obsolescence_reason": "Active product"
# sku_referencecommercial_statusend_of_commercialisation_dateend_of_service_datereplacement_skureplacement_name
1
2
3

Complete list of extractable fields for Green Premium Data objects from schneider-electric.com. All fields typed and schema-versioned.

sku_referencerohs_statusrohs_exemption_inforeach_svhc_statusenvironmental_disclosure_urlcircularity_profile_urlweee_directive_compliancetoxic_heavy_metal_freemercury_free
green_premium data
● 200 OK
"sku_reference": "A9F74106",
"rohs_status": "Compliant",
"reach_svhc_status": "Reference contains SVHC above threshold",
"weee_directive_compliance": "Must be disposed on European Union markets following specific waste collection",
"toxic_heavy_metal_free": true,
"mercury_free": true
# sku_referencerohs_statusrohs_exemption_inforeach_svhc_statusenvironmental_disclosure_urlcircularity_profile_url
1
2
3

Complete list of extractable fields for Documents & CAD objects from schneider-electric.com. All fields typed and schema-versioned.

sku_referencedatasheet_pdf_urlinstruction_sheet_urlcad_2d_dxf_urlcad_3d_step_urlbim_revit_urlcertificate_urlssoftware_firmware_urls
documents_& cad
● 200 OK
"sku_reference": "MTZ2_20_H1_3P",
"datasheet_pdf_url": "https://download.schneider-electric.com/files?p_Doc_Ref=MTZ2_20_H1_3P_DS",
"cad_3d_step_url": "https://download.schneider-electric.com/files?p_Doc_Ref=CAD_3D_MTZ2",
"bim_revit_url": "https://download.schneider-electric.com/files?p_Doc_Ref=BIM_MTZ2",
"certificate_urls": "['https://download.schneider-electric.com/files?p_Doc_Ref=RoHS_MTZ2']"
# sku_referencedatasheet_pdf_urlinstruction_sheet_urlcad_2d_dxf_urlcad_3d_step_urlbim_revit_url
1
2
3

Complete list of extractable fields for Distributor Locator objects from schneider-electric.com. All fields typed and schema-versioned.

sku_referencedistributor_namedistributor_idbranch_locationdistance_kmstock_statusstock_quantitylast_updatedbuy_now_url
distributor_locator
● 200 OK
"sku_reference": "XB4BA31",
"distributor_name": "Rexel",
"branch_location": "Paris Nord",
"distance_km": 12.4,
"stock_status": "In Stock",
"stock_quantity": 45,
"last_updated": "2026-05-12T09:14:00Z"
# sku_referencedistributor_namedistributor_idbranch_locationdistance_kmstock_status
1
2
3

Capabilities

Industrial MRO extraction at scale

Schneider Electric catalogues are deeply nested, highly technical, and region-specific. Our pipeline handles the PIM traversal, PDF parsing, and obsolescence mapping automatically.

Deep PIM Extraction

Extract technical attributes, mounting specifications, and electrical ratings directly from Schneider's Product Information Management system APIs.

Obsolescence Mapping

Track End of Life (EOL) dates and map legacy SKUs to their modern Acti9, TeSys, or MasterPact replacements automatically.

Datasheet & PDF Parsing

Download and parse technical PDFs to extract tabular data, derating curves, and compliance certificates not exposed in the HTML DOM.

CAD & BIM Asset Indexing

Map 2D DXF, 3D STEP, and Revit BIM files to their corresponding SKUs for digital twin and engineering integrations.

Multi-Region Catalogues

Extract region-specific SKUs, local compliance data, and language variations across se.com/uk, se.com/us, and se.com/in.

Green Premium Compliance

Capture RoHS, REACH, and circularity profiles for ESG reporting and sustainable procurement mandates.

Distributor Stock Polling

Query the 'Where to Buy' locator to extract real-time inventory signals from authorised distributors like Rexel and Sonepar.

EcoStruxure Compatibility

Map communication protocols, firmware versions, and system architecture compatibility for IoT-enabled devices.

Change Detection

Monitor millions of SKUs and only emit records when technical attributes, compliance status, or lifecycle phases change.

// engagement pipeline

From product range to warehouse record

Brief in. Clean data out.

Define Scope
d 0

Provide specific product ranges, legacy SKU lists, or regions. We design the extraction schema together.

Pipeline Build
d 2–4

We configure Scrapy / Playwright crawlers to traverse the Schneider catalogue, handle regional routing, and parse PIM endpoints.

Validation & QA
d 4–6

Schema validation, unit normalisation, and missing-asset detection before full launch.

Delivery
ongoing

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

Under the hood

Navigating industrial catalogue complexity

Extracting data from global manufacturers requires more than simple HTTP requests. Here is how we handle the technical hurdles of the Schneider Electric domain.

pipeline-monitor · schneider-electric.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
PIM API Reverse Engineering
Bypassing the HTML DOM

Schneider Electric renders technical specifications dynamically via internal Product Information Management APIs. We intercept these XHR requests to extract clean, nested JSON directly, avoiding brittle HTML scraping.

Regional Routing
Handling geolocation redirects

The se.com domain aggressively redirects users based on IP. We use region-specific residential proxies to pin sessions to the target country, ensuring we extract the correct local catalogue and compliance data.

Asset Extraction
Managing massive file downloads

A single product family can have hundreds of associated CAD files and PDFs. We use distributed Celery workers to asynchronously download, hash, and map these assets to the parent SKU without blocking the main crawl.

Variant Explosion
Traversing complex configurators

Products like MasterPact circuit breakers have thousands of valid configurations. We script Playwright to iterate through the product configurator UI, capturing every valid SKU combination and its resulting technical profile.

Data Normalisation
Standardising engineering units

Technical attributes often mix imperial and metric units depending on the region. Our pipeline includes a normalisation layer that standardises voltages, amperages, and dimensions into a consistent schema for your database.

Applications

Who uses Schneider Electric data

Teams across industries use schneider-electric.com data to build competitive products and smarter operations.

01
MRO Distributors

Enrich local e-commerce catalogues with official descriptions, high-resolution images, and technical attributes directly from the manufacturer.

02
System Integrators

Automate the creation of Bill of Materials (BOM) and import CAD/BIM assets directly into engineering software like AutoCAD or Revit.

03
Procurement Teams

Identify obsolete components in existing infrastructure and automatically map them to the correct modern replacement SKUs.

04
Competitor Benchmarking

Rival manufacturers track Schneider's product launches, technical specifications, and compliance standards to inform their own R&D.

05
ESG & Sustainability Reporting

Extract Green Premium profiles, RoHS, and REACH compliance data to meet corporate sustainability and regulatory reporting requirements.

06
Digital Twin Development

Ingest structured product data and 3D models to build accurate digital representations of industrial control panels and facilities.

Why DataFlirt

"Schneider Electric's catalogue contains the critical technical specifications powering global infrastructure, but extracting it requires navigating complex, gated product trees."

Industrial MRO data extraction involves more than just scraping HTML. You must parse nested JSON from PIM systems, map replacement SKUs for obsolete parts, and extract tabular data from hundreds of thousands of PDF datasheets. DataFlirt handles the engineering complexity so your procurement team gets clean schema.

Technical Spec

Schneider Electric scraper - technical capabilities

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

PIM API interception
Direct extraction of structured JSON from internal product endpoints
Supported
PDF datasheet parsing
Extraction of tabular data and derating curves from technical PDFs
Supported
CAD/BIM asset mapping
Direct download links for STEP, DXF, and Revit files mapped to SKUs
Supported
Multi-region support
se.com/uk, se.com/us, se.com/in, and other localised domains
Supported
Obsolescence tracking
Capture of EOL dates and official replacement SKU mapping
Supported
Distributor stock polling
Extraction of inventory levels from the 'Where to Buy' locator
Supported
Change detection (diffs)
Hash-based diff: only emit records with changed fields since last run
Supported
MySchneider Partner Portal pricing
Gated wholesale pricing requires authenticated partner credentials
Partial
Contract-specific lead times
Custom manufacturing lead times hidden behind authenticated accounts
Partial
Infrastructure

Infrastructure powering the MRO pipeline

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

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheusFastAPICelery
Scrapy + Playwright Stack

Scrapy handles catalogue traversal and API requests. Playwright handles JavaScript-heavy product configurators and regional selector modals.

Regional Proxy Infrastructure

We maintain pools of residential ISP proxies across target regions to prevent aggressive geo-redirects and capture accurate local compliance data.

Cloud-Native Orchestration

Pipelines run on AWS ECS. Airflow handles scheduling, dependency management, and SLA alerting. Distributed Celery workers process heavy PDF and CAD downloads.

Output & Delivery

Your data, your destination

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

JSON
Newline-delimited or nested - schema versioned per run
CSV
Flat file with typed columns - Excel/Sheets compatible
XLS
Excel format for direct procurement team usage
Parquet
Columnar format for BigQuery, Snowflake, Athena
AWS S3
Direct bucket delivery - compatible with any data lake
Webhook
HTTP POST per record for real-time downstream processing
API
REST API access to your dedicated Postgres data store
BigQuery
Streamed directly into your dataset with schema auto-detect
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About schneider-electric.com scraping, legality, and pipeline operations.

Ask us directly →
Is scraping Schneider Electric legal?

Scraping publicly available catalogue information, datasheets, and compliance data from se.com is generally permissible. DataFlirt targets only public, non-authenticated technical data. We do not circumvent MySchneider authentication walls or extract proprietary contract pricing.

How do you handle regional variations in the catalogue?

We use region-specific residential proxies to pin our crawlers to the target country (e.g., UK, US, India). This ensures we extract the correct local SKUs, voltage ratings, and regional compliance certifications without being redirected.

Can you extract data from PDF datasheets?

Yes. While we prefer extracting data from Schneider's PIM APIs, we also deploy PDF parsing engines to extract tabular data, derating curves, and specific technical notes from official datasheets when the data is not available in the DOM.

Do you map obsolete products to their replacements?

Yes. Our schema includes lifecycle status fields. When a product is marked for End of Commercialisation, we extract the official replacement SKU and upgrade path provided by Schneider Electric.

Can you download CAD and BIM files?

Yes. We extract the direct download URLs for 2D DXF, 3D STEP, and Revit BIM files, mapping them to the parent SKU. We can either provide the URLs or download and host the assets in your S3 bucket.

How fresh is the data?

For full catalogue extractions, we typically run weekly or monthly refreshes depending on your requirements. Change-detection logic ensures you only process updated SKUs, reducing downstream ingestion costs.

$ dataflirt scope --new-project --source=schneider-electric.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 extraction of the TeSys range or a continuous feed of the entire global catalogue - we scope, build, and operate the pipeline. Tell us what you need.

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