We extract technical specifications, product hierarchies, CAD metadata, and documentation from sick.com. 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 Overview objects from sick.com. All fields typed and schema-versioned.
"part_number": "1019242", "product_name": "WTB4-3P2161", "family_name": "W4-3", "category": "Photoelectric sensors", "sub_category": "Miniature photoelectric sensors", "ean_code": "4047084111417", "product_status": "Active", "successor_part": "None"
| # | part_number | product_name | family_name | category | sub_category | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from sick.com. All fields typed and schema-versioned.
"part_number": "1019242", "sensing_range_max": "4 mm ... 150 mm", "light_source": "PinPoint LED", "supply_voltage_min": "10 V DC", "supply_voltage_max": "30 V DC", "output_type": "PNP", "connection_type": "Connector M8, 3-pin", "ip_rating": "IP67, IP66"
| # | part_number | sensing_range_max | light_source | supply_voltage_min | supply_voltage_max | output_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Documentation objects from sick.com. All fields typed and schema-versioned.
"part_number": "1019242", "datasheet_url": "https://www.sick.com/media/docs/1/11/411/dataSheet_WTB4-3P2161_1019242_en.pdf", "manual_url": "https://www.sick.com/media/docs/2/12/412/operatingInstructions_W4-3_en.pdf", "cad_step_url": "https://www.sick.com/media/cad/1019242.step", "cad_iges_url": "https://www.sick.com/media/cad/1019242.igs", "declaration_conformity_url": "https://www.sick.com/media/docs/3/13/413/DoC_1019242.pdf", "quick_start_guide_url": "None"
| # | part_number | datasheet_url | manual_url | cad_step_url | cad_iges_url | software_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Accessories objects from sick.com. All fields typed and schema-versioned.
"parent_part": "1019242", "accessory_part": "2095884", "accessory_type": "Plug connectors and cables", "accessory_name": "YF8U13-020VA1XLEAX", "compatibility_notes": "Female connector, M8, 3-pin, straight", "currency": "EUR", "order_qty_min": 1
| # | parent_part | accessory_part | accessory_type | accessory_name | compatibility_notes | list_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Application Data objects from sick.com. All fields typed and schema-versioned.
"part_number": "1019242", "industry_focus": "Packaging, Logistics", "application_type": "Object detection", "measuring_principle": "Background suppression", "detection_target": "Solid objects", "standard_compliance": "EN 60947-5-2", "certification_marks": "CE, cULus, UKCA"
| # | part_number | industry_focus | application_type | measuring_principle | detection_target | machine_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our SICK scraper navigates complex product families, standardises dense technical tables, and links accessories to parent sensors. Built for ERP enrichment and digital twin generation.
Traverse the entire SICK product hierarchy from primary categories down to individual part numbers and variants.
Extract and normalise complex HTML tables containing electrical, mechanical, and optical specifications.
Capture direct URLs for datasheets, operating instructions, and declarations of conformity without manual downloading.
Track phase-out products and map them directly to their recommended replacement part numbers.
Maintain parent-child relationships between sensors and their compatible mounts, cables, and reflectors.
Handle locale-specific domains to capture regional availability and compliance certifications.
Extract available 2D and 3D CAD model formats and their respective download links.
Monitor spec updates and product lifecycle changes, delivering only the diffs to your warehouse.
Run continuous pipelines for catalogue monitoring or execute one-off bulk exports for master data updates.
Brief in. Clean data out.
Provide part number lists, category URLs, or search terms. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, handle pagination, and normalise technical table structures.
Schema validation, null-rate checks, and specification unit standardisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting data from sick.com involves deep taxonomies and complex DOM structures. Here is how we maintain data integrity.
SICK product pages feature extensive technical tables with varying row structures depending on the sensor family. Our parsers map these dynamic tables into strict JSON schemas, ensuring electrical and mechanical attributes align perfectly in your database.
Accessory lists, CAD downloads, and successor product widgets often load asynchronously. We run full Playwright browser sessions to trigger lazy-loaded elements and capture the complete product profile.
Industrial catalogues rely on deep breadcrumb structures. We capture the complete path from root category to specific variant, preserving the engineering taxonomy for your ERP system.
When a sensor transitions from 'Active' to 'Phase-out', your procurement team needs to know. We hash records per run and emit diffs, alerting you to status changes and new successor mappings.
Every run emits structured logs to our observability stack. We alert on null-rate spikes in critical fields like part numbers or EAN codes, ensuring your master data remains reliable.
Procurement teams populate internal purchasing systems with accurate part numbers, descriptions, and replacement options.
R&D teams compare sensing ranges, IP ratings, and housing materials against their own automation portfolios.
System integrators extract CAD metadata and mechanical dimensions to build accurate 3D models of factory floors.
Data governance teams standardise existing SAP material masters with current SICK taxonomy and EAN codes.
Maintenance engineers track phase-out components and automatically update bills of materials with successor parts.
Authorised distributors align their ecommerce catalogues with the latest official SICK specifications and documentation.
"Industrial automation relies on precise specification data, but manual entry from SICK datasheets introduces unacceptable error rates into procurement systems."
Extracting sensor data requires navigating deep taxonomies, parsing complex HTML tables, and standardising thousands of unique engineering attributes. DataFlirt handles the extraction and normalisation layer so your procurement and engineering teams receive clean, structured payloads ready for ERP ingestion.
Everything supported by our sick.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 taxonomy traversal and deduplication. Playwright renders SPA product pages to capture complete specification tables and accessory lists.
Custom Python middleware parses varying HTML table structures into a strict, unified JSON schema, standardising units and field names across product families.
Pipelines run on AWS Lambda and ECS. Airflow manages scheduling and dependency execution. All state and diff histories are stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About sick.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available catalogue information is generally permissible under applicable laws. DataFlirt targets only public, non-authenticated technical specifications and documentation. We do not circumvent authentication walls to access gated B2B pricing or proprietary inventory data.
Our parsers use custom key-value mapping logic. We extract the row headers (e.g., 'Supply voltage') and normalise the adjacent values across thousands of product pages, ensuring strict schema adherence regardless of the sensor family.
We extract the direct download URLs for CAD files (STEP, IGES), PDF datasheets, and operating instructions. These URLs are delivered in the dataset payload. We do not host or distribute the binary files directly.
Yes. We capture the 'product status' field and, when available, extract the recommended successor part number, allowing your ERP to maintain accurate replacement mapping.
For industrial catalogues, we typically run weekly or monthly full-site sweeps. Change-detection logic ensures you only receive updates for modified specifications, new product launches, or status changes.
No. Customer-specific contract pricing and real-time inventory levels require a registered SICK portal login. We only extract the publicly visible list prices where available.
Yes. We can target specific locales (e.g., sick.com/de, sick.com/us) to capture region-specific certifications, language documentation, and local availability.
Engagements start at a defined part number list or specific product families. We scope the schema requirements and provide a sample dataset before finalising the contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump for ERP enrichment or continuous monitoring of product lifecycles — we scope, build, and operate the pipeline. Tell us what you need.
