We extract OEM part catalogues, vehicle fitment matrices, exploded diagrams, and warehouse pricing from Megazip. 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 OEM Part Listings objects from megazip.net. All fields typed and schema-versioned.
"part_number": "15400-PLM-A02", "part_name": "Oil Filter", "brand": "Honda", "price_usd": 6.45, "weight_grams": 250, "warehouse_origin": "Japan", "stock_status": "In Stock", "replaced_by": "15400-RTA-003"
| # | part_number | part_name | brand | category | price_jpy | price_usd |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Vehicle Fitment objects from megazip.net. All fields typed and schema-versioned.
"part_number": "15400-PLM-A02", "brand": "Honda", "model": "Civic", "year_start": 2006, "year_end": 2011, "chassis_code": "FD1", "engine_code": "R18A1", "market_region": "JDM"
| # | part_number | brand | model | year_start | year_end | chassis_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Exploded Diagrams objects from megazip.net. All fields typed and schema-versioned.
"diagram_id": "E-14", "diagram_name": "Cylinder Head", "image_url": "https://megazip.net/images/honda/e-14.png", "vehicle_model": "Civic FD1", "system_category": "Engine", "part_list": "['12200-RNA-A00', '12251-RNA-A01']", "resolution": "1200x1600", "format": "PNG"
| # | diagram_id | diagram_name | image_url | vehicle_model | system_category | part_coordinates |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Availability objects from megazip.net. All fields typed and schema-versioned.
"part_number": "15400-PLM-A02", "warehouse_location": "Japan", "list_price": 6.45, "discount_pct": 0, "dispatch_days": 3, "minimum_order_qty": 1, "currency": "USD", "updated_at": "2026-05-12T10:14:00Z"
| # | part_number | warehouse_location | list_price | discount_pct | shipping_weight | dispatch_days |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Category Taxonomy objects from megazip.net. All fields typed and schema-versioned.
"brand": "Toyota", "vehicle_type": "Auto", "model_family": "Land Cruiser", "production_years": "1998-2007", "sub_category": "Engine", "component_group": "Fuel Injection System", "part_count": 142, "scraped_at": "2026-05-12T10:14:33Z"
| # | brand | vehicle_type | model_family | production_years | sub_category | component_group |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Megazip structures data across thousands of chassis codes and exploded diagrams. Our pipeline navigates the entire taxonomy to deliver flat, relational databases of parts, fitment, and pricing.
Extract core part metadata including exact part numbers, descriptions, weights, dimensions, and manufacturer details across all brands.
Download high-resolution assembly diagrams and extract the coordinate maps linking visual callouts to specific OEM part numbers.
Track part number histories. Map older discontinued parts to their current active replacements within the manufacturer catalogue.
Capture dynamic pricing and dispatch times based on warehouse origin, including Japan, UAE, and US distribution centres.
Build relational tables linking a single part number to every compatible year, make, model, chassis code, and engine variant.
Extract market-specific variations by iterating through distinct chassis codes for JDM, USDM, and EUDM vehicle markets.
Beyond automotive, we extract catalogues for Yamaha outboards, Polaris ATVs, and Suzuki motorcycles.
Run continuous pipelines that only emit records when part prices, supersessions, or stock statuses change.
Configure bulk deliveries at weekly or monthly intervals to keep your internal fitment databases synchronised.
Brief in. Clean data out.
Provide target brands, vehicle types, or specific component groups. We design the extraction schema together.
We configure crawlers to navigate the Megazip taxonomy, handling rate limits and diagram coordinate parsing.
Schema validation, null-rate checks on fitment matrices, and diagram image verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Automotive catalogues require deep traversal and relational mapping. Here is how we maintain data integrity across millions of SKUs.
Megazip requires navigating through Brand > Market > Year > Model > Chassis > Component Group > Diagram. Our crawlers maintain state across these 7 levels to ensure every part number is accurately tagged with its full fitment context.
Exploded diagrams use HTML image maps to link visual reference numbers to actual OEM part numbers. We parse these coordinate sets to build interactive diagram datasets for your own applications.
Manufacturers frequently update part numbers. We extract the explicit 'Replaced by' and 'Replaces' fields to build continuous supersession chains, ensuring your database reflects current orderable SKUs.
Pricing and availability change depending on whether a part ships from Japan, the UAE, or the US. We capture the complete matrix of origin-specific pricing and dispatch times for every part.
Extracting millions of pages triggers aggressive rate limiting. We distribute requests across residential IP pools to maintain high concurrency without IP bans, ensuring catalogue refreshes complete on schedule.
Aftermarket manufacturers use OEM fitment data to verify their own parts catalogue compatibility against specific chassis codes.
Auto parts distributors monitor Megazip's global warehouse pricing to optimise their own import and retail margins.
eCommerce retailers ingest our fitment matrices to power the 'Does this fit my car?' search widgets on their storefronts.
Specialist JDM parts retailers use daily stock and price feeds to automate their dropshipping operations.
Importers track supersession chains and discontinued part statuses to identify future supply gaps in the market.
Claims software providers integrate OEM part weights and list prices into their repair estimation algorithms.
"Megazip hosts the most comprehensive OEM parts catalogue and diagram repository for Japanese vehicles on the public web, but extracting relational fitment data requires a dedicated pipeline."
Most teams underestimate the complexity of OEM catalogues. Navigating the deep taxonomy from chassis code to exploded diagram requires careful state management, coordinate parsing, and residential proxies to avoid rate limits. DataFlirt absorbs this infrastructure overhead.
Everything supported by our megazip.net 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 taxonomy traversal and deduplication. Playwright handles JavaScript-heavy diagram rendering and coordinate extraction.
We maintain pools of residential ISP proxies to distribute requests across millions of catalogue pages without triggering IP bans.
Pipelines run on AWS ECS. Airflow handles scheduling, dependency management, and SLA alerting. All fitment state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About megazip.net scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available OEM part numbers, fitment data, and retail pricing is generally permissible under applicable law. DataFlirt targets only public, non-authenticated catalogue data. Clients should review Megazip's ToS and consult legal counsel for specific use cases.
Yes. We download the high-resolution diagram images and extract the HTML image map coordinates, allowing you to recreate interactive diagrams where clicking a part highlights the corresponding OEM part number.
When a manufacturer discontinues a part and replaces it, Megazip lists the replacement. We extract these relationships to build continuous supersession chains, so your database always points to the orderable SKU.
Yes. The pipeline navigates the entire taxonomy, covering cars, motorcycles, ATVs, snowmobiles, marine engines, and generators across all listed brands including Toyota, Honda, Yamaha, and Suzuki.
For targeted SKU lists, we can run daily or hourly pricing updates. Full catalogue refreshes containing millions of parts typically run on a weekly or monthly cadence.
Yes. We capture the matrix of prices and dispatch times for parts shipping from Japan, the UAE, and the US distribution centres.
Absolutely. We provide a sample run of up to 500 part numbers or a specific vehicle chassis code as part of the pre-engagement scoping process to validate schema fit and completeness.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a specific brand catalogue or continuous pricing feeds across millions of OEM parts, we scope, build, and operate the pipeline. Tell us what you need.
