We extract bearing dimensions, load ratings, cross-references, and application data from the Schaeffler Medias catalogue. 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 Rolling Bearings objects from schaeffler.com. All fields typed and schema-versioned.
"part_number": "6204-C-2Z", "brand": "FAG", "inner_diameter_mm": 20.0, "outer_diameter_mm": 47.0, "width_mm": 14.0, "dynamic_load_rating_cr_n": 13500, "static_load_rating_cor_n": 6600
| # | part_number | brand | product_category | inner_diameter_mm | outer_diameter_mm | width_mm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Linear Guidance objects from schaeffler.com. All fields typed and schema-versioned.
"part_number": "KWVE25-B", "series": "KUVE", "carriage_type": "Standard", "guideway_width_mm": 25.0, "accuracy_class": "G3", "dynamic_load_c_n": 17900, "max_speed_m_s": 5.0
| # | series | part_number | carriage_type | guideway_width_mm | preload_class | accuracy_class |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Automotive Aftermarket objects from schaeffler.com. All fields typed and schema-versioned.
"article_number": "600 0016 00", "description": "RepSet DMF", "vehicle_manufacturer": "Volkswagen", "model_series": "Golf VII", "transmission_type": "Manual", "diameter_mm": 240
| # | article_number | description | vehicle_manufacturer | model_series | engine_code | production_year_start |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Cross-References objects from schaeffler.com. All fields typed and schema-versioned.
"schaeffler_part_number": "6204-C-2Z", "competitor_brand": "SKF", "competitor_part_number": "6204-2Z", "match_type": "Direct Interchange", "dimensional_equivalence": true, "load_rating_equivalence": true
| # | schaeffler_part_number | competitor_brand | competitor_part_number | match_type | dimensional_equivalence | load_rating_equivalence |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Distributor Data objects from schaeffler.com. All fields typed and schema-versioned.
"part_number": "6204-C-2Z", "region": "Europe", "distributor_name": "Brammer", "stock_status": "In Stock", "lead_time_days": 2, "minimum_order_quantity": 1, "packaging_unit": "Box"
| # | part_number | region | distributor_name | distributor_id | stock_status | lead_time_days |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Schaeffler scraper navigates the complex Medias catalogue structure, parsing nested specification tables and normalising engineering units into strict database schemas.
Extract specifications across all Schaeffler Medias categories, from rolling bearings to linear guidance systems.
Capture deep technical parameters including load ratings, fatigue limits, and reference speeds for industrial components.
Scrape clutch, transmission, and engine component applications mapped to specific vehicle and engine codes.
Map Schaeffler SKUs to competitor equivalents, capturing match types and dimensional equivalence flags.
Extract exact metric dimensions, load ratings, and speed limits, parsed from dynamic HTML tables.
Capture availability flags and format types for 2D and 3D CAD files associated with specific part numbers.
Handle locale-specific part availability and unit differences across global Schaeffler domains.
Extract mounting tolerances, recommended lubrication specifications, and operating temperature ranges.
Detect when new product lines or specification fields are added to the Medias catalogue.
Only push updates to your warehouse when technical specifications or cross-references change.
Brief in. Clean data out.
Provide part number lists, product categories, or competitor SKUs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers to navigate Medias and automotive catalogues.
Schema validation, unit normalisation, and dimensional checks run before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or data warehouse on agreed cadence.
Extracting engineering data requires handling complex tabular layouts, dynamic unit conversions, and regional catalogue variations.
Medias uses heavily nested, dynamic tables for technical specifications. Our extractors flatten these hierarchies into normalised key-value pairs, ensuring dimensional data aligns correctly in your database.
Catalogue regions display different units. We parse the raw strings, identify the unit scale, and output strictly typed numeric fields in standard metric formats for downstream databases.
Schaeffler serves different product availability based on session cookies and locale headers. We maintain strict session states to ensure we scrape the target region's exact catalogue.
Interchange tables often load asynchronously. We use Playwright to intercept the underlying XHR requests, pulling raw cross-reference mappings before they are rendered into the DOM.
Part specifications change rarely, but when they do, engineers need to know. We hash the specification payload and emit diffs when load ratings or dimensional tolerances are revised.
Industrial buyers map internal part numbers to Schaeffler equivalents to consolidate spend and identify alternative suppliers.
Bearing manufacturers scrape Schaeffler specifications to build direct interchange tools for their own sales teams.
PLM and ERP systems are populated with accurate, normalised dimensional and load rating data directly from the manufacturer.
Parts distributors integrate LuK clutch and engine component application data into their e-commerce search engines.
Reliability engineers feed exact fatigue limit loads and reference speeds into digital twin models for machinery.
Distributors track regional catalogue additions and phase-outs to manage their inventory lifecycle.
"Schaeffler's Medias catalogue is the gold standard for bearing engineering data, but extracting it requires parsing thousands of complex, dynamic specification tables."
Industrial data extraction is rarely about bypassing aggressive anti-bot systems. It is about structural complexity. Schaeffler's technical data spans multiple product lines, nested specification grids, and asynchronous cross-reference lookups. DataFlirt normalises this engineering chaos into clean, typed schemas ready for your ERP or PLM systems.
Everything supported by our schaeffler.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.
We deploy custom middleware to parse complex engineering tables, stripping out formatting artifacts and casting strings to strict numeric types with standardised units.
Playwright intercepts XHR requests powering Schaeffler Medias, extracting raw JSON payloads for cross-references rather than parsing the rendered DOM.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About schaeffler.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available technical specifications and catalogue data is generally permissible. DataFlirt extracts only public engineering data and cross-references. We do not bypass authentication walls to access proprietary CAD models or partner pricing.
Yes. Schaeffler displays units dynamically depending on the selected region. Our pipeline parses the raw text, identifies the unit scale, and outputs strictly typed numeric fields in standard metric formats.
Yes. We extract vehicle application mappings, engine codes, and production year ranges for Schaeffler's automotive brands, including LuK, INA, and FAG.
We extract the interchange tables from Schaeffler Medias, mapping competitor SKUs to Schaeffler equivalents, including the match type and dimensional equivalence flags.
Once your pipeline is active, we maintain a changelog of all specification revisions. You receive diffs when load ratings, tolerances, or lifecycle statuses change.
Most industrial clients opt for weekly or monthly catalogue refreshes, as engineering data changes slowly. However, we can configure daily runs if you are tracking specific inventory or lifecycle statuses.
We capture the metadata indicating whether a 2D or 3D CAD model is available for a specific part. However, downloading the actual STEP or IGES files requires an authenticated user session, which we do not support.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off bearing catalogue extract or continuous cross-reference updates for your ERP — we scope, build, and operate the pipeline. Tell us what you need.
