We extract product specifications, article numbers, compliance records, and technical assets from HellermannTyton. 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 objects from hellermanntyton.com. All fields typed and schema-versioned.
"article_number": "111-01919", "uns_number": "111-01919", "product_name": "T50R", "category": "Cable Ties Inside Serrated", "packaging_quantity": 100, "ean_code": "4031026104231"
| # | article_number | uns_number | product_name | category | sub_category | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from hellermanntyton.com. All fields typed and schema-versioned.
"material": "Polyamide 6.6 (PA66)", "operating_temperature": "-40 °C to +85 °C", "flammability": "UL 94 V2", "length_l": "200.0mm", "width_w": "4.6mm", "tensile_strength": "225N"
| # | article_number | material | operating_temperature | flammability | halogen_free | length_l |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Compliance objects from hellermanntyton.com. All fields typed and schema-versioned.
"rohs_compliant": true, "reach_compliant": true, "ul_recognised": true, "dnv_gl_approved": false, "ce_marked": true, "mil_spec": "SAE-AS33671"
| # | article_number | rohs_compliant | reach_compliant | ul_recognised | csa_certified | dnv_gl_approved |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Logistics objects from hellermanntyton.com. All fields typed and schema-versioned.
"pack_cont": "100 pcs.", "minimum_order_quantity": 100, "weight_per_piece": "0.0013 kg", "customs_tariff_number": "39269097", "country_of_origin": "GB", "carton_quantity": 5000
| # | article_number | pack_cont | minimum_order_quantity | weight_per_piece | carton_quantity | pallet_quantity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Digital Assets objects from hellermanntyton.com. All fields typed and schema-versioned.
"article_number": "111-01919", "primary_image_url": "https://www.hellermanntyton.com/images/product.jpg", "datasheet_pdf": "https://www.hellermanntyton.com/pdf/datasheet.pdf", "cad_step_file": "https://www.hellermanntyton.com/cad/model.stp", "certificate_pdf": "None", "video_url": "None"
| # | article_number | primary_image_url | datasheet_pdf | installation_guide_pdf | cad_step_file | cad_iges_file |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our HellermannTyton scraper navigates complex product hierarchies to extract highly structured technical data, compliance statuses, and dimensional specifications.
Map internal article numbers to global UNS numbers, ensuring exact component identification across your ERP.
Extract dimensions, materials, tolerances, and operating temperatures into a strictly typed schema.
Pull RoHS, REACH, and UL certification statuses per part to automate supply chain compliance auditing.
Capture direct URLs for CAD files, PDF datasheets, and installation guides for automated library population.
Crawl complex taxonomy from cable routing to identification systems without missing nested sub-categories.
Extract standard ETIM classes and features for direct integration into industrial MRO platforms.
Scrape regional variants across .com, .co.uk, and .de to capture local compliance and packaging differences.
Extract alternative parts and recommended application tooling associations for complete BOM generation.
Parse complex text strings for operating temperature ranges, flammability ratings, and halogen-free statuses.
Brief in. Clean data out.
Provide category URLs, UNS numbers, or search terms. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for hellermanntyton.com.
Schema validation, null-rate checks, and dimension normalisation checks before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting industrial catalogue data requires handling complex tables, regional variants, and dynamic assets. Here is how we build resilient pipelines.
HellermannTyton uses dynamic product grids. We run Playwright to trigger infinite scroll and pagination events, ensuring complete category capture without missing deeply nested SKUs.
Technical specifications are often stored in inconsistent HTML tables. Our parsers normalise these into flat JSON key-value pairs, converting string dimensions into typed numeric fields.
Industrial sites often force geo-IP redirects. We use region-specific proxy pools to bypass routing logic and scrape the exact country catalogue required for your compliance checks.
CAD and PDF download links can be session-dependent. We extract stable permalinks or generate direct asset URLs before session timeout, ensuring downstream systems can fetch the files.
We preserve breadcrumb hierarchies across up to 8 levels of product categories, maintaining the structural relationship between a parent product family and its individual variants.
Distributors populate ERP and PIM systems with accurate technical specifications and ETIM classifications.
Manufacturers map HellermannTyton parts against equivalent cable management products to build cross-reference databases.
Procurement teams verify RoHS, REACH, and UL status across supplier BOMs to ensure regulatory adherence.
Engineering firms automate the aggregation of 3D models and STEP files for integration into CAD software.
Systems integrators feed structural component data and physical dimensions into industrial digital twins.
Logistics teams extract packaging quantities, weights, and EAN codes to optimise warehouse storage and shipping models.
"HellermannTyton's catalogue contains critical engineering specifications and compliance data — but integrating it into an ERP requires a structured pipeline, not manual data entry."
Extracting industrial MRO data requires precision. Technical specifications, dimensional tolerances, and compliance certifications must be parsed accurately from complex HTML tables. DataFlirt handles the extraction, normalisation, and delivery, ensuring your engineering and procurement teams have reliable, warehouse-ready data without the maintenance overhead.
Everything supported by our hellermanntyton.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 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 hellermanntyton.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available catalogue information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product specifications, compliance data, and part numbers. We do not circumvent authentication walls or extract proprietary distributor pricing.
Yes. We can configure pipelines to target hellermanntyton.com, .co.uk, .de, or any other regional variant to ensure you capture the correct local compliance data and packaging metrics.
No. We extract the direct URLs to the STEP, IGES, and PDF files. Your internal systems can use these URLs to fetch the binaries directly, keeping the pipeline lightweight and focused on structured data.
Industrial catalogues often have sparse data. Our schema enforces strict typing, emitting null values for missing fields rather than breaking the pipeline or inserting placeholder text.
Yes. Both the internal Article number and the global UNS number are captured as primary keys, allowing you to cross-reference parts accurately within your ERP.
For full MRO catalogues, we recommend weekly or monthly refresh cadences. For targeted subsets, daily runs can be configured to track changes in compliance status or document revisions.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of the HellermannTyton catalogue or a continuous feed of technical specifications and compliance updates — we scope, build, and operate the pipeline.
