We extract industrial automation catalogues, MLFB article numbers, technical specifications, and life cycle statuses from Siemens. 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 Product Master Data objects from siemens.com. All fields typed and schema-versioned.
"article_number": "6ES7516-3AN02-0AB0", "ean": "4047622839215", "product_family": "CPU 1516-3 PN/DP", "description": "SIMATIC S7-1500, CPU 1516-3 PN/DP, central processing unit with 1 MB work memory for program and 5 MB for data", "product_lifecycle_status": "PM300:Active Product", "net_weight": "0.830 Kg"
| # | article_number | ean | product_family | description | product_lifecycle_status | net_weight |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Technical Specifications objects from siemens.com. All fields typed and schema-versioned.
"article_number": "6ES7516-3AN02-0AB0", "operating_voltage": "24 V DC", "power_loss": "7 W", "protection_class": "IP20", "ambient_temperature": "0 °C to 60 °C", "mounting_type": "DIN rail", "hardware_version": "FS01"
| # | article_number | operating_voltage | power_loss | protection_class | ambient_temperature | connection_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Life Cycle & Successors objects from siemens.com. All fields typed and schema-versioned.
"article_number": "6ES7214-1AG40-0XB0", "pm_class": "PM400:Phase Out Started", "phase_out_date": "2023-10-01", "successor_article_number": "6ES7214-1AG40-0XB1", "successor_type": "Direct replacement", "substitution_notes": "Fully compatible firmware upgrade required"
| # | article_number | pm_class | active_since | phase_out_date | discontinuation_date | successor_article_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Documents & CAD objects from siemens.com. All fields typed and schema-versioned.
"article_number": "6ES7516-3AN02-0AB0", "datasheet_url": "https://support.industry.siemens.com/cs/document/109782419", "manual_url": "https://support.industry.siemens.com/cs/document/109752841", "certificate_urls": "['CE', 'UL', 'EAC']", "3d_model_url": "https://mall.industry.siemens.com/mall/en/WW/Catalog/Product/6ES7516-3AN02-0AB0/3d", "eplan_macro_url": "https://mall.industry.siemens.com/mall/en/WW/Catalog/Product/6ES7516-3AN02-0AB0/eplan"
| # | article_number | datasheet_url | manual_url | certificate_urls | eplan_macro_url | 3d_model_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Category & Hierarchy objects from siemens.com. All fields typed and schema-versioned.
"article_number": "6ES7516-3AN02-0AB0", "primary_category": "Automation Technology", "sub_category_1": "Automation Systems", "sub_category_2": "SIMATIC Industrial Automation Systems", "catalog_tree_path": "Automation Technology > Automation Systems > SIMATIC Industrial Automation Systems > Controllers > Advanced Controllers > S7-1500", "product_group": "4504", "discount_group": "215"
| # | article_number | primary_category | sub_category_1 | sub_category_2 | catalog_tree_path | industry_sector |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Siemens scraper processes the Industry Mall and product configurators: capturing complex technical specifications, MLFB hierarchies, and life cycle statuses with JavaScript rendering and session management.
Extract core article numbers (MLFB), EANs, UPCs, and product family identifiers across the entire Siemens Industry Mall.
Capture voltage, amperage, dimensions, mounting requirements, and protocol support from heavily nested technical data tables.
Track PM300 (Active), PM400 (Phase Out), and PM410 (Discontinued) statuses to manage obsolescence risk.
Extract recommended replacement article numbers and compatibility notes for phased-out components.
Resolve URLs for technical datasheets, operating manuals, EPLAN macros, and 3D CAD models tied to specific MLFBs.
Extract territory-specific availability, regulatory compliance, and export control classes based on regional Industry Mall endpoints.
Map products to their exact location in the Siemens catalogue tree, capturing product groups and discount group codes.
Extract mandatory accessories, compatible modules, and recommended software packages for complex automation hardware.
Run one-off bulk exports or configure continuous pipelines at weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide MLFB lists, category URLs, or product families. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for the Siemens Industry Mall.
Schema validation, null-rate checks, and nested-table normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Industrial catalogues use complex dynamic rendering and heavily nested data structures. Here is how we maintain reliable extraction.
Siemens technical specification tables are heavily JavaScript-rendered and often load via asynchronous XHR requests. We run full Playwright browser sessions to ensure all nested technical parameters are fully hydrated before extraction.
Datasheets, manuals, and CAD models are often hosted on separate support subdomains (support.industry.siemens.com). We trace the asset resolution paths to provide direct URLs associated with the parent article number.
High-volume requests to the Industry Mall trigger rate limits and IP blocks. Our crawlers use residential ISP proxies with realistic browser fingerprints and request timing to maintain continuous extraction throughput.
Industrial automation equipment exists in deep, multi-level hierarchies. We extract the full breadcrumb trail and category IDs, allowing you to reconstruct the exact catalogue taxonomy in your own database.
For obsolescence management, knowing when a product shifts from PM300 to PM400 is critical. We maintain a hash index of life cycle statuses and emit diffs when an MLFB changes state, reducing downstream processing load.
Procurement teams normalise Siemens catalogue data against their internal ERP systems to ensure accurate MLFB ordering and specification matching.
Distributors and wholesalers populate their Product Information Management (PIM) systems with accurate weights, dimensions, and technical specs directly from the manufacturer.
Rival industrial automation manufacturers analyse Siemens specifications to build automated cross-reference tools for their own sales teams.
Plant operators monitor the PM (Product Life Cycle) status of their installed base to proactively order spares before parts reach PM410 (Discontinued) status.
Engineering firms extract EPLAN macros, 3D CAD links, and electrical characteristics to populate digital twin models of physical switchgear and control panels.
Automation integrators maintain up-to-date databases of compatible modules and accessories to accelerate project bidding and panel design.
"The Siemens Industry Mall contains the foundational data for modern industrial automation — but extracting complex MLFB specs requires purpose-built infrastructure."
Industrial catalogues present unique scraping challenges: deeply nested configurators, dynamic technical tables, and region-locked product availability. DataFlirt manages the residential proxies, JavaScript rendering, and schema normalisation so your engineering team can focus on data integration, not pipeline maintenance.
Everything supported by our siemens.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 DE/EU 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 siemens.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from the Siemens Industry Mall is generally permissible under applicable law in India, the US, and the UK. DataFlirt targets only public, non-authenticated product specifications, life cycle statuses, and MLFB data. We do not extract personal data or circumvent authentication walls. Clients should review Siemens ToS and consult legal counsel for specific use cases.
We configure the pipeline to target the specific regional endpoint (e.g., mall.industry.siemens.com/mall/en/US vs /de/DE) to ensure the extracted specifications, approvals, and availability statuses match your target territory.
We focus primarily on the web-based Industry Mall and public catalogue endpoints. Complex logic locked inside compiled desktop applications like the TIA Selection Tool is outside our extraction scope, though we capture the resulting component data available on the web.
We extract the URLs pointing to these assets. Direct downloading of CAD files or large PDF manuals often requires an authenticated Siemens account, which we do not automate. You receive the structured metadata and the links to access the files.
We capture the specific PM status (e.g., PM400 Phase Out, PM410 Discontinued) along with any successor article numbers provided by Siemens, allowing you to map legacy installations to current hardware.
Our smallest packages start at a defined MLFB list (typically 5,000-25,000 items) with monthly delivery. For full catalogue extractions or custom schema requirements, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 MLFBs as part of the pre-engagement scoping process — so you can validate schema fit, field completeness, and technical specification parsing before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off MRO catalogue dump or a continuous spec-monitoring feed across 500K MLFBs — we scope, build, and operate the pipeline. Tell us what you need.
