We extract ballscrew specifications, linear guideway dimensions, load capacities, and CAD metadata from Hiwin. Delivered as clean JSON, CSV, or Parquet to S3 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 Linear Guideways objects from hiwin.com. All fields typed and schema-versioned.
"part_number": "HGW25CCZA", "series": "HG", "block_type": "Flange", "dynamic_load_c_kn": 26.48, "static_load_c0_kn": 36.49, "precision_class": "C"
| # | part_number | series | block_type | rail_length_mm | dynamic_load_c_kn | static_load_c0_kn |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Ballscrews objects from hiwin.com. All fields typed and schema-versioned.
"part_number": "R1605T3-FSI", "nominal_diameter_mm": 16, "lead_mm": 5, "dynamic_load_kn": 7.8, "static_load_kn": 17.9, "rigidity_n_um": 170
| # | part_number | nominal_diameter_mm | lead_mm | thread_length_mm | total_length_mm | dynamic_load_kn |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for CAD & Manuals objects from hiwin.com. All fields typed and schema-versioned.
"part_number": "HGW25CCZA", "cad_3d_step_url": "https://hiwin.com/assets/cad/HGW25CCZA.step", "cad_3d_iges_url": "https://hiwin.com/assets/cad/HGW25CCZA.igs", "spec_sheet_pdf": "https://hiwin.com/assets/pdf/HG_series.pdf", "assembly_guide_pdf": "https://hiwin.com/assets/pdf/assembly.pdf", "has_cad": true
| # | part_number | cad_2d_dxf_url | cad_3d_step_url | cad_3d_iges_url | user_manual_pdf | spec_sheet_pdf |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Cross-Axis Robots objects from hiwin.com. All fields typed and schema-versioned.
"model_name": "KA-100", "stroke_x_mm": 1000, "payload_kg": 50, "maximum_speed_mm_s": 500, "repeatability_mm": 0.01, "motor_output_w": 400
| # | model_name | stroke_x_mm | stroke_y_mm | maximum_speed_mm_s | repeatability_mm | payload_kg |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Distributors objects from hiwin.com. All fields typed and schema-versioned.
"region": "Europe", "country": "Germany", "company_name": "Hiwin GmbH", "phone": "+49 781 93278-0", "authorized_status": "Direct Subsidiary", "is_active": true
| # | region | country | company_name | address | phone | |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Hiwin scraper targets nested engineering tables, JavaScript configurators, and technical PDFs to extract dimensional data and load ratings into clean relational formats.
Deconstruct complex Hiwin alphanumeric codes into structural dimensions, preload classes, and precision grades.
Convert nested HTML specification tables with complex column spans into flat relational data models.
Extract direct URLs for 2D and 3D CAD files across STEP, IGES, and DXF formats for engineering ingestion.
Capture dynamic and static load ratings, rigidity metrics, and mass properties for precise engineering calculations.
Extract dimensional tolerances and mounting instructions from attached PDF documents using automated OCR.
Scrape global authorized distributor locations, contact details, and precise coverage zones.
Execute JavaScript to capture all possible permutations in the Hiwin dynamic product configurator.
Link equivalent components across different series and legacy part numbers within the Hiwin ecosystem.
Run weekly or monthly diffs to detect new product line introductions or discontinued parts automatically.
Brief in. Clean data out.
Provide target product series, component types, or regional distributor parameters. We map the schema.
We configure Scrapy crawlers, handle Hiwin configurator state, and structure the technical tables.
Schema validation, null-rate checks on critical load ratings, and unit normalisation before launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting engineering data requires more than simple HTTP requests. Here is how we process Hiwin's technical infrastructure.
Hiwin uses JavaScript driven part configurators. We run Playwright to iterate through all valid dimensional permutations, capturing exact specifications for every possible variant.
Engineering tables span multiple column spans and row spans. We use custom parsing logic to flatten these into strict JSON schemas, ensuring load ratings align with the correct part number.
Many legacy parts only feature specifications in PDF format. We deploy text extraction pipelines to digitise these metrics and merge them with web scraped data.
Hiwin serves different catalogues based on IP geolocation. Our proxy infrastructure targets specific regions to capture localized availability and distributor details.
Dimensions appear in metric and imperial across different regional sites. We normalise all outputs to your preferred unit system before warehouse delivery.
Ingest exact part specifications to automate spare parts purchasing and inventory management.
Populate CAD software libraries and simulation tools with accurate physical dimensions and load limits.
Map Hiwin guideways and ballscrews against THK or Bosch Rexroth catalogues for direct replacement analysis.
Track the global footprint of authorized Hiwin distributors to optimise supply chain routing.
Feed load capacity and rigidity metrics into machine learning models for industrial equipment lifecycle prediction.
Supply physical properties and 3D models required for building accurate digital twins of manufacturing lines.
"Hiwin's catalogue contains the critical physical properties that drive global manufacturing, but extracting dimensional data from nested engineering tables requires specialized parsing logic."
Industrial MRO data extraction is rarely a simple scrape. Hiwin product pages rely on complex JavaScript configurators and heavily merged HTML tables to display load ratings and tolerances. DataFlirt handles the DOM traversal, unit normalisation, and configurator state management so your engineering teams receive clean, queryable data.
Everything supported by our hiwin.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.
Playwright scripts automate the Hiwin part selector, capturing every valid combination of preload, precision, and dimension.
Custom Python middleware targets complex engineering tables, resolving merged cells into strict relational schemas.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About hiwin.com scraping, legality, and pipeline operations.
Ask us directly →Linear guideways, ballscrews, linear motors, cross-axis robots, and bearings across all regional catalogues.
We extract the direct download URLs and metadata for 2D and 3D CAD files. We do not host the binary files themselves.
We parse Hiwin's alphanumeric part codes into their constituent components, such as block type, preload class, and precision grade.
Yes, our pipeline includes PDF text extraction to capture dimensional tolerances and load ratings that are not present in the HTML DOM.
For most MRO clients, we run full catalogue diffs on a monthly or quarterly basis to capture new product lines.
Hiwin generally does not list direct B2B pricing on their public catalogue. We extract publicly available specifications and distributor locations.
We flatten multi-dimensional HTML tables into strict key-value pairs, normalising units like millimetres and kilonewtons across the dataset.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually copying specifications from Hiwin PDFs. We build and maintain the extraction infrastructure so you can focus on procurement and engineering.
