We extract machining parameters, DIN specifications, stock availability, and tier pricing from Hoffmann Group. 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 Tool Specifications objects from hoffmann-group.com. All fields typed and schema-versioned.
"article_number": "202285 10", "brand": "GARANT", "din_iso_standard": "DIN 6527", "coating": "TiAlN", "shank_type": "HB", "diameter_mm": 10.0, "cutting_edges": 4, "tolerance_class": "h10"
| # | article_number | brand | product_family | din_iso_standard | material | coating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from hoffmann-group.com. All fields typed and schema-versioned.
"article_number": "202285 10", "list_price": 42.5, "currency": "EUR", "tier_10_price": 39.1, "stock_status": "In stock", "delivery_days": "1-2 days", "moq": 1, "packaging_unit": "Piece"
| # | article_number | list_price | currency | tier_10_price | tier_50_price | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Machining Parameters objects from hoffmann-group.com. All fields typed and schema-versioned.
"article_number": "202285 10", "vc_steel_m_min": 120, "vc_inox_m_min": 70, "feed_rate_fz": 0.05, "cutting_depth_ap": "1xD", "coolant_recommended": "Emulsion", "material_suitability_primary": "['Steel < 900 N', 'Steel < 1100 N']", "material_suitability_secondary": "['INOX']"
| # | article_number | vc_steel_m_min | vc_alu_m_min | vc_inox_m_min | feed_rate_fz | cutting_depth_ap |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Related Items objects from hoffmann-group.com. All fields typed and schema-versioned.
"article_number": "202285 10", "accessories": "['302560 10', '302565 10']", "matching_holders": "['300000 SK40', '300100 HSK63']", "alternative_items": "['202290 10']", "assembly_tools": "['620100 4']", "consumables": "[]"
| # | article_number | spare_parts | accessories | matching_holders | alternative_items | assembly_tools |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Media & Documents objects from hoffmann-group.com. All fields typed and schema-versioned.
"article_number": "202285 10", "main_image_url": "https://www.hoffmann-group.com/images/202285_10.jpg", "data_sheet_pdf_url": "https://www.hoffmann-group.com/docs/ds_202285.pdf", "cad_step_url": "https://www.hoffmann-group.com/cad/202285_10.step", "safety_data_sheet_url": "None", "gallery_image_urls": "['img1.jpg', 'img2.jpg']"
| # | article_number | main_image_url | gallery_image_urls | data_sheet_pdf_url | safety_data_sheet_url | cad_step_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Hoffmann Group scraper navigates complex B2B category trees, extracts deep technical matrices, and normalises tooling specifications across thousands of product families.
Extract DIN/ISO norms, material grades, tolerances, and geometric dimensions from structured tables into flat warehouse columns.
Resolve complex multi-dimensional variants (e.g., end mills by diameter, flute length, and coating) into individual article records.
Capture recommended cutting speeds (Vc), feed rates (fz), and material suitability matrices for GARANT and HOLEX cutting tools.
Extract public list prices, volume discount tiers, packaging units, and minimum order quantities (MOQ) across regional domains.
Monitor regional stock statuses, estimated delivery windows, and warehouse dispatch times for critical MRO supplies.
Extract relational links between main articles, recommended tool holders, mandatory accessories, and replacement parts.
Capture URLs for PDF data sheets, instruction manuals, safety data sheets (SDS), and high-resolution product imagery.
Locate and extract download links for 3D STEP files and 2D DXF drawings for digital twin and CAM integration.
Target hoffmann-group.com across multiple country locales (DE, EN, FR, IT) to capture region-specific pricing and availability.
Identify and emit only records with changed prices, modified stock levels, or updated technical specifications since the last run.
Brief in. Clean data out.
Provide categories, search terms, or specific article number lists. We map the required technical fields.
We configure Scrapy crawlers, implement table-parsing logic for technical specs, and set up proxy rotation.
Schema validation ensures dimensional data (mm, inches) and cutting parameters are correctly typed and normalised.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting MRO data requires more than basic HTML parsing. We handle the structural normalisation of engineering data.
Hoffmann presents critical engineering data in dynamic HTML tables that vary wildly between product families (e.g., solid carbide drills vs. workstations). Our pipeline uses schema-aware parsers to map these varying tables into consistent, typed columns in your data warehouse.
A single product page may contain 50+ variations based on diameter, thread size, or coating. We recursively expand these variant matrices, ensuring every unique article number (e.g., 202285 10) gets its own distinct, fully-populated record.
Real-time stock levels, customer-specific pricing tiers, and CAD model generation rely on asynchronous JavaScript requests. We utilise Playwright to execute these flows, ensuring complete data capture where static HTTP clients return empty fields.
Engineering teams require data sheets and STEP files. We systematically locate, resolve, and validate asset URLs hidden behind dynamic download buttons or external asset management systems.
Hoffmann operates multiple regional distribution centres. We route requests through geographically appropriate residential proxies (e.g., German IPs for the DE catalogue) to capture accurate, region-specific stock availability and EUR pricing.
Industrial distributors track GARANT and HOLEX pricing against their own private label tooling to optimise market positioning.
Manufacturing facilities ingest catalogue data into their ERPs to automate tool crib replenishment and monitor price inflation.
Engineering teams bulk-extract 3D STEP file URLs and tool dimensions to populate CAM software libraries for CNC simulation.
Authorised resellers maintain accurate product listings, technical descriptions, and imagery by syncing directly with the master catalogue.
Supply chain teams enrich sparse internal material masters with complete DIN norms, tolerances, and material suitability data.
Procurement analysts track stock availability trends across critical tooling categories to anticipate regional supply chain bottlenecks.
"Hoffmann Group holds the definitive European industrial catalogue, but extracting normalised DIN specifications and machining parameters requires deep structural parsing."
MRO data extraction fails on variant complexity. A single end mill might have 40 combinations of diameter, flute length, and coating. DataFlirt models these multi-dimensional matrices into flat, relational warehouse records, handling the structural normalisation so your procurement engineers do not have to.
Everything supported by our hoffmann-group.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 and deduplication. Playwright handles JavaScript execution for dynamic stock queries and variant expansion.
We maintain pools of European residential proxies to access localised domains (e.g., .de, .fr) without triggering rate limits or geo-blocks.
Pipelines run on AWS Lambda and ECS. 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 hoffmann-group.com scraping, legality, and pipeline operations.
Ask us directly →No. DataFlirt extracts publicly available list prices and standard volume tiers visible without authentication. We do not use client credentials to scrape gated, customer-specific contract pricing.
Our parsers recursively expand variant matrices. If a drill is available in 50 diameters, our pipeline generates 50 distinct records, each mapped to its specific article number, price, and technical specifications.
By default, we extract and deliver the direct download URLs for these assets. If your use case requires the actual files, we can configure a secondary pipeline to download and sync these files directly to your S3 bucket.
Yes. We target the structured technical tables on GARANT and HOLEX product pages to extract Vc, fz, and material suitability matrices, mapping them to standard numerical columns.
Full catalogue refreshes typically run weekly or monthly due to the volume of data. For specific high-priority categories or stock monitoring, we can configure daily differential runs.
Engagements start at a defined category scope (e.g., all solid carbide milling cutters) or a specific list of article numbers provided by your procurement team.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need to enrich your ERP master data or monitor MRO pricing across Europe — we scope, build, and operate the pipeline. Tell us what you need.
