We extract OEM part numbers, pricing signals, stock availability, equipment manuals, and interactive schematics from Parts Town. 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 Part Details objects from partstown.com. All fields typed and schema-versioned.
"part_number": "00-410041-00001", "manufacturer": "Hobart", "description": "Contactor 3 Pole 40 Amp", "price": 142.5, "stock_status": "In Stock", "weight": "1.2 lbs", "category": "Electrical Components"
| # | part_number | manufacturer | description | price | stock_status | weight |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Cross-Reference objects from partstown.com. All fields typed and schema-versioned.
"part_number": "00-410041-00001", "equipment_model": "LXeH", "equipment_manufacturer": "Hobart", "equipment_type": "Undercounter Dishwasher", "diagram_id": "D-78219", "diagram_position": "42", "scraped_at": "2023-10-14T08:12:00Z"
| # | part_number | equipment_model | equipment_manufacturer | equipment_type | diagram_id | diagram_position |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from partstown.com. All fields typed and schema-versioned.
"part_number": "00-410041-00001", "list_price": 142.5, "discount_price": "None", "currency": "USD", "stock_quantity": 48, "same_day_shipping_eligible": true, "price_timestamp": "2023-10-14T08:12:05Z"
| # | part_number | list_price | discount_price | currency | stock_quantity | lead_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Manuals & Documents objects from partstown.com. All fields typed and schema-versioned.
"part_number": "00-410041-00001", "document_title": "LXe Series Service Manual", "document_type": "Service Manual", "pdf_url": "https://pt-docs.com/hobart/lxe_service.pdf", "language": "EN", "page_count": 124, "file_size": "4.2MB"
| # | part_number | document_title | document_type | pdf_url | language | page_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Schematics objects from partstown.com. All fields typed and schema-versioned.
"diagram_id": "D-78219", "equipment_model": "LXeH", "manufacturer": "Hobart", "image_url": "https://pt-images.com/diagrams/lxeh_base.svg", "associated_parts": "['00-410041-00001', '00-118291-00004']", "diagram_category": "Control Panel Assembly", "revision_date": "2022-04-11"
| # | diagram_id | equipment_model | manufacturer | image_url | hotspot_coordinates | associated_parts |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Parts Town scraper navigates the complex web of OEM manufacturers, extracts embedded schematic data, and normalises cross-reference tables into relational formats.
Manufacturer, part number, technical specifications, weight, and dimensions extracted directly from product description pages.
Map individual parts to every compatible commercial oven, fryer, or refrigerator model across the catalogue.
Capture list price, stock availability flags, and same-day shipping eligibility with exact timestamps.
Extract SVG hotspots and coordinate data from exploded diagrams, linking visual positions to exact part numbers.
Locate and extract direct URLs to service manuals, installation guides, and spec sheets associated with parts and equipment.
Identify superseded part numbers and official OEM replacements to maintain accurate inventory mapping.
Extract high-resolution asset URLs, including multi-angle and interactive 360-degree spin images.
Maintain the exact taxonomy of Parts Town, mapping parts through multi-level category trees.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide manufacturer lists, equipment models, or specific part categories. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management to navigate Parts Town's catalogue.
Schema validation, null-rate checks, and cross-reference verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Parts Town features deep relational data and strict anti-bot measures. Here is how we maintain reliable extraction.
Parts Town uses aggressive CDN-level bot mitigation. Our crawlers utilize residential ISP proxies with realistic TLS fingerprints and automated solving mechanisms to maintain high success rates without IP bans.
A single OEM part can fit hundreds of equipment models. We extract these relationships from paginated tables and normalise them into a relational schema, ensuring no compatibility link is dropped.
Exploded diagrams rely on embedded SVG coordinates. We parse the DOM to map visual hotspots directly to part numbers, allowing you to recreate interactive diagrams in your own applications.
Service manuals are frequently hosted on external CDN subdomains. We capture the direct asset links and document metadata without downloading massive PDF files during the primary crawl phase.
For massive part catalogues, we maintain a hash index of last-seen values. Subsequent runs only push diffs for pricing or stock changes, reducing compute cost and downstream processing load.
Foodservice distributors track Parts Town pricing to optimise their own margins and identify competitive pricing opportunities.
Facility management platforms use cross-reference data and manual access to predict part failure rates and service schedules.
Repair networks monitor stock availability signals to guide their own procurement and warehousing strategies.
eCommerce retailers ingest technical specifications, substitute part data, and high-res images to populate their own storefronts.
Manufacturers track the availability of their own OEM parts across distributor networks to identify supply chain bottlenecks.
Engineers analyse OEM specifications and cross-reference volume to identify high-demand parts for aftermarket production.
"Parts Town holds the definitive catalogue of commercial kitchen equipment data, but extracting interactive schematics and cross-reference matrices requires specialised infrastructure."
Most teams underestimate the complexity of scraping Parts Town. Extracting SVG diagram hotspots, mapping deep manufacturer hierarchies, and bypassing Akamai bot protection requires residential proxies and full browser rendering. DataFlirt manages this pipeline so your engineers focus on data modelling.
Everything supported by our partstown.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 for complex schematic pages.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions to bypass Akamai bot mitigation.
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 partstown.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and schematic data. We do not circumvent authentication walls to access proprietary B2B pricing.
We extract the direct CDN URLs, document titles, and metadata (page count, language). We do not download the physical PDF files into the structured data payload, keeping your delivery sizes manageable.
Yes. We parse the underlying SVG coordinate data embedded in the DOM, allowing you to map specific part numbers to exact X/Y coordinates on the exploded diagram images.
Full catalogue refreshes at daily cadence complete within a 12-hour window. For specific high-priority part lists, we can configure hourly streaming pipelines to monitor stock status changes.
No. DataFlirt focuses strictly on publicly accessible list pricing and stock data. We do not manage authenticated sessions for customer-specific contracted pricing.
Our smallest packages start at a defined manufacturer list or category subset with weekly delivery. For full-site extraction, we price based on volume and delivery frequency.
Yes. We provide a sample run of up to 500 part numbers as part of the pre-engagement scoping process to validate schema fit and field completeness.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off cross-reference dump or a continuous inventory feed across 1M parts, we scope, build, and operate the pipeline. Tell us what you need.
