We extract part numbers, ETIM classifications, CAD metadata, wiring diagrams, and compliance certificates from Wago. 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 Core objects from wago.com. All fields typed and schema-versioned.
"part_number": "221-413", "title": "COMPACT Splicing Connector", "product_family": "221 Series", "gtin_ean": "4050821808442", "customs_tariff_number": "85369010000", "country_of_origin": "DE", "rohs_status": "Compliant"
| # | part_number | title | product_family | short_description | gtin_ean | customs_tariff_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from wago.com. All fields typed and schema-versioned.
"part_number": "221-413", "connection_technology": "CAGE CLAMP", "nominal_cross_section": "4 mm²", "solid_conductor": "0.2 ... 4 mm² / 24 ... 12 AWG", "strip_length": "11 mm / 0.43 inch", "rated_voltage": "450 V", "rated_current": "32 A"
| # | part_number | connection_technology | nominal_cross_section | solid_conductor | stranded_conductor | strip_length |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Physical & Material objects from wago.com. All fields typed and schema-versioned.
"part_number": "221-413", "width": "18.7 mm / 0.736 inch", "height": "8.3 mm / 0.327 inch", "depth": "18.6 mm / 0.732 inch", "weight": "2.5 g", "color": "transparent", "flammability_class": "V2"
| # | part_number | width | height | depth | weight | color |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Classifications objects from wago.com. All fields typed and schema-versioned.
"part_number": "221-413", "etim_8_class": "EC000446", "etim_8_description": "Push-in wire connector", "eclass_11": "27141104", "eclass_11_description": "Terminal block", "packaging_type": "Box", "packaging_unit": "500 (50) Stück"
| # | part_number | etim_8_class | etim_8_description | eclass_11 | eclass_11_description | unspsc_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Downloads & Media objects from wago.com. All fields typed and schema-versioned.
"part_number": "221-413", "image_main": "https://wago.com/images/221-413.jpg", "datasheet_pdf": "https://wago.com/pdf/221-413_en.pdf", "cad_step_url": "https://wago.com/cad/221-413.step", "certificate_urls": "['https://wago.com/cert/UL_221.pdf']", "manual_urls": "[]"
| # | part_number | image_main | image_gallery | datasheet_pdf | cad_step_url | cad_iges_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Wago scraper handles complex industrial catalogues: deep category trees, dynamic CAD rendering widgets, tabular technical specifications, and cross-reference maps.
Extract entire product trees from terminal blocks to PLCs, capturing every part number and variant.
Capture industry-standard classification codes and descriptions for PIM integration.
Normalise complex technical tables into flat JSON structures, retaining unit measurements.
Extract direct links to STEP files, IGES models, PDF datasheets, and wiring diagrams.
Capture environmental compliance status, fire load metrics, and material certifications.
Map required accessories, alternate parts, and compatible tools for each primary part number.
Extract descriptions and datasheets across Wago's regional domains and language variants.
Run continuous pipelines with hash-based diffing to track discontinued parts and spec updates.
Run one-off bulk exports or configure continuous pipelines at weekly or monthly cadences.
Brief in. Clean data out.
Provide Wago categories, part number lists, or search terms. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and spec table normalisation rules.
Schema validation, null-rate checks, and attribute mapping verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Industrial MRO scraping requires precise schema mapping and dynamic content execution. Here is how we build resilient pipelines.
We use residential ISP proxies with realistic browser fingerprints to prevent IP bans and rate limiting during deep catalogue crawls.
Wago uses dynamic components for CAD model generation and accessory loading. We run full Playwright browser sessions to trigger and capture these elements.
Technical specifications vary wildly between a terminal block and a PLC. Our selector strategy uses dynamic key-value pairing to normalise inconsistent table structures.
We maintain a hash index of last-seen values per part number. Subsequent runs only push diffs, reducing downstream processing load.
We alert on null-rate spikes, missing CAD links, and schema drift. SLA uptime is contractual.
Distributors and wholesalers populate their Product Information Management systems with accurate technical specs and classifications.
Automate the onboarding of new Wago product lines into B2B eCommerce storefronts with complete imagery and datasheets.
Feed CAD metadata and wiring diagrams into electrical design software and procurement portals.
Manufacturers map Wago specifications against their own product lines to build automated cross-reference tools.
Supply chain teams verify RoHS, REACH, and flammability certifications across their bill of materials.
Track product lifecycle statuses to identify discontinued components and plan inventory replacements.
"Wago's catalogue contains millions of highly structured engineering attributes. Extracting this data requires parsing complex technical tables, not just scraping standard product pages."
Industrial MRO scraping requires precise schema mapping. Wago's technical data spans hundreds of connection types, PLC modules, and ETIM classifications. DataFlirt handles the heavy lifting of normalising these complex nested structures into flat warehouse tables, so your engineering teams can focus on integration rather than pipeline maintenance.
Everything supported by our wago.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 rendering for dynamic product tabs and CAD widgets.
We maintain pools of residential ISP proxies to bypass rate limits during deep catalogue traversal.
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 wago.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available technical specifications and part numbers is generally permissible. DataFlirt targets only public, non-authenticated product data. We do not extract personal data or circumvent authentication walls.
We use Playwright to render the page and intercept the network requests that populate the CAD download links, ensuring we capture the static file URLs without requiring manual interaction.
Yes. We map the classification tables for every part number, capturing both the code and the string description for easy PIM integration.
Catalogue refreshes typically run on a weekly or monthly cadence depending on your requirements. The entire Wago catalogue can be extracted within a 24-hour window.
By default, we extract the direct URLs to the PDFs and CAD files to keep data payloads light. We can configure the pipeline to download and push the actual files to your S3 bucket if required.
Our packages start with a defined product family or category list. For full catalogue extraction, we price based on total part numbers and delivery frequency. Contact us for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous spec-monitoring feed across the entire Wago inventory, we scope, build, and operate the pipeline.
