We extract industrial components, bearing specs, manufacturer cross-references, and stock levels from Applied. 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 Specs objects from applied.com. All fields typed and schema-versioned.
"sku": "10048291", "mfr_part_number": "6204-2RS", "manufacturer": "SKF", "category": "Bearings", "weight": 0.23, "uom": "EA"
| # | sku | mfr_part_number | manufacturer | category | sub_category | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from applied.com. All fields typed and schema-versioned.
"sku": "10048291", "list_price": 14.5, "currency": "USD", "stock_status": "In Stock", "lead_time": "Ships Today", "min_order_qty": 1
| # | sku | list_price | currency | stock_status | branch_availability | lead_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Documents & CAD objects from applied.com. All fields typed and schema-versioned.
"sku": "10048291", "sds_url": "https://applied.com/docs/sds_10048291.pdf", "tech_sheet_url": "https://applied.com/docs/tech_10048291.pdf", "cad_3d_url": "https://applied.com/cad/3d_10048291.step", "compliance_rohs": true, "manual_url": "None"
| # | sku | sds_url | tech_sheet_url | cad_2d_url | cad_3d_url | manual_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Category Taxonomy objects from applied.com. All fields typed and schema-versioned.
"category_id": "cat1029", "category_name": "Ball Bearings", "parent_category": "Bearings", "level": 2, "total_products": 14829, "updated_at": "2023-10-12T08:00:00Z"
| # | category_id | category_name | parent_category | level | url | total_products |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Cross-Reference objects from applied.com. All fields typed and schema-versioned.
"applied_sku": "10048291", "mfr_sku": "6204-2RS", "alternate_mfr_1": "FAG", "alternate_sku_1": "6204-C-HRS", "interchange_type": "Direct Match", "confidence_score": 0.99
| # | applied_sku | mfr_sku | alternate_mfr_1 | alternate_sku_1 | alternate_mfr_2 | alternate_sku_2 |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Applied scraper handles every layer of the platform: product specifications, manufacturer cross-references, document downloads, and dynamic inventory indicators with JavaScript rendering built in.
Capture every SKU across bearings, fluid power, and power transmission categories with deep specification key-value pairs.
Extract alternative part numbers and direct interchange data to build internal mapping tables.
Automated downloading and indexing of Safety Data Sheets, technical manuals, and warranty PDFs.
Track stock availability across specific Applied Industrial Technologies branch locations using regional session headers.
Reconstruct the exact category tree from root nodes down to sub-component levels with product counts.
Parse 2D and 3D CAD model download links embedded within product detail pages.
Capture public-facing list prices and packaging quantities to track industrial inflation trends.
Execute dynamic frontend frameworks required to load pricing modules and real-time stock indicators.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Bypass perimeter defences using residential proxy rotation and automated CAPTCHA solving.
Brief in. Clean data out.
Provide category URLs, manufacturer lists, or specific MRO search terms. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for applied.com.
Schema validation, null-rate checks, spec-outlier detection, and sample exports before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Industrial catalogues invest in scraping detection to protect their data. Here is how we stay resilient and why teams choose managed infrastructure over DIY.
Applied uses commercial bot protection. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management trained on real user behaviour patterns.
Pricing and inventory data often load asynchronously. We run full Playwright browser sessions to ensure all XHR requests complete before extraction, capturing data that headless HTTP clients miss entirely.
Industrial catalogues change DOM structures frequently. Our selector strategy uses multiple fallback chains per field, so a layout change does not break your data pipeline overnight.
SDS and CAD files require specific download handlers. We stream binary assets directly to your S3 bucket while maintaining relational metadata in the primary dataset.
For large MRO catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Distributors monitor Applied's list prices to adjust their own MRO pricing strategies and protect margins.
Procurement teams enrich internal ERP systems with clean specifications, standardising part descriptions across the enterprise.
Manufacturers extract interchange data to prove their parts are direct drop-in replacements for competitor SKUs.
Monitor stock depths and lead times across bearing and fluid power categories to predict regional shortages.
Health and safety teams automate the retrieval of updated Safety Data Sheets for chemicals and lubricants.
Private equity analysts track product additions and brand representation to gauge manufacturer market penetration.
"Applied Industrial Technologies holds one of the most comprehensive MRO datasets globally. Extracting it cleanly is the bottleneck for modern procurement."
Most teams underestimate the investment required: reliable MRO scraping requires handling complex specification tables, asynchronous inventory lookups, and strict bot perimeters. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our applied.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 US/EU 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 applied.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from applied.com is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, specification, and list pricing data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains to handle DOM changes.
Yes. We identify document URLs embedded in product pages and can either provide the URLs in the dataset or configure the pipeline to download the binary files directly to your storage.
Our schema design normalises technical specifications into structured key-value pairs, ensuring that attributes like bore diameter, dynamic load rating, and seal type are queryable.
No. Contract pricing requires authenticated sessions using your corporate credentials, which falls outside our public-data extraction mandate.
Real-time streaming pipelines achieve sub-60-minute latency for stock signals on a defined SKU set. Full catalogue refreshes at daily cadence complete within a 6-12 hour window.
Yes. We extract both the distributor SKU and the manufacturer's original part number, alongside any cross-reference data presented on the page.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across 500K SKUs, we scope, build, and operate the pipeline. Tell us what you need.
