We extract OEM part numbers, pricing per warehouse, stock availability, and supersession chains from Amayama. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for OEM Parts objects from amayama.com. All fields typed and schema-versioned.
"part_number": "90915-YZZD2", "brand": "Toyota", "name": "Oil Filter", "category": "Engine", "weight_grams": 250, "supersedes": "90915-20001", "page_url": "https://www.amayama.com/en/part/toyota/90915yzzd2"
| # | part_number | brand | name | description | category | weight_grams |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from amayama.com. All fields typed and schema-versioned.
"part_number": "90915-YZZD2", "warehouse_location": "Japan", "price": 12.45, "currency": "USD", "stock_status": "In Stock", "dispatch_days": "1-3", "min_order_qty": 1, "scraped_at": "2026-05-12T09:14:00Z"
| # | part_number | warehouse_location | price | currency | stock_status | dispatch_days |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fitment & Compatibility objects from amayama.com. All fields typed and schema-versioned.
"part_number": "90915-YZZD2", "chassis_code": "JZX100", "engine_code": "1JZ-GTE", "production_dates": "1996.09-2001.06", "model_name": "Chaser", "market_region": "Japan", "notes": "Turbo models only"
| # | part_number | chassis_code | engine_code | production_dates | model_name | market_region |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Supersession Chains objects from amayama.com. All fields typed and schema-versioned.
"old_part_number": "90915-20001", "new_part_number": "90915-YZZD2", "brand": "Toyota", "replacement_type": "Direct", "interchangeability": "Two-way", "date_changed": "2015-04-01", "notes": "Updated filter media"
| # | old_part_number | new_part_number | brand | replacement_type | date_changed | interchangeability |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Diagrams & Schematics objects from amayama.com. All fields typed and schema-versioned.
"diagram_id": "TY-1JZ-004", "model_code": "JZX100", "category": "Engine Block", "image_url": "https://amayama.com/images/diagrams/ty/1jz.png", "part_callouts": "['11401', '11402', '11403']", "resolution": "1024x768", "related_parts": "['90915-YZZD2']"
| # | diagram_id | model_code | category | image_url | part_callouts | resolution |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Amayama scraper navigates complex brand catalogues, chassis codes, and supersession tables to deliver structured automotive data.
Extract precise alphanumeric part numbers, descriptions, and brand associations without truncation or formatting errors.
Capture pricing and availability data across different fulfilment centres (Japan, UAE, etc.) in your target currency.
Track part number replacements, upgrades, and interchangeability chains to maintain accurate inventory cross-references.
Map parts to specific chassis codes, engine types, and production date ranges for exact fitment verification.
Extract exploded view diagrams, schematic URLs, and part callout references for visual catalogue building.
Capture physical part specifications essential for calculating freight costs and warehousing logistics.
Navigate distinct catalogue structures for Toyota, Nissan, Honda, Mitsubishi, Subaru, and Mazda.
Run one-off bulk exports or configure continuous pipelines at weekly or daily cadences with change-detection diffing.
Link OEM parts to aftermarket alternatives where Amayama provides cross-reference data.
Brief in. Clean data out.
Provide part number lists, chassis codes, or brand categories. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management tailored for Amayama's catalogue structure.
Schema validation, null-rate checks, and supersession chain verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket or BigQuery dataset on agreed cadence.
Automotive catalogues require strict data typing. Here is how we maintain accuracy across millions of SKUs.
Amayama's routing relies heavily on specific chassis and frame combinations. Our crawlers normalise these URLs to ensure exhaustive coverage of fitment tables without infinite loops.
Part replacements are often presented in dense HTML tables. We parse these into structured JSON arrays, maintaining the directional relationship between old and new part numbers.
Prices vary depending on whether the part ships from Japan or the UAE. We extract the base currency and warehouse location as distinct fields, preventing downstream pricing errors.
Automotive part numbers often contain leading zeros or specific dash placements. Our extraction logic treats all part numbers as strict strings to prevent spreadsheet software or databases from truncating critical characters.
To prevent IP bans and maintain pipeline stability, we implement strict concurrency limits and request delays tailored to Amayama's server capacity.
Aftermarket retailers monitor OEM pricing to position their own replacement parts competitively.
Parts manufacturers map their SKUs against official OEM numbers and supersession chains to ensure accurate fitment catalogues.
Specialist repair shops and importers track warehouse availability in Japan and the UAE to optimise bulk ordering.
eCommerce storefronts sync Amayama's pricing and stock levels directly to their own inventory systems.
Estimating software providers integrate real-time OEM parts pricing for accurate repair quotes.
Distributors analyse supersession trends to phase out obsolete stock and prioritise updated part numbers.
"Amayama holds the definitive catalogue for JDM OEM parts, but mapping supersessions and warehouse pricing requires precision extraction."
Extracting automotive parts data requires strict schema enforcement. A single truncated character in a chassis code or OEM part number corrupts the entire dataset. DataFlirt builds typed, validated pipelines that handle Amayama's complex catalogue hierarchy, delivering warehouse-ready records.
Everything supported by our amayama.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. We optimise request concurrency for static HTML catalogues.
We maintain pools of datacenter and residential proxies. Rotation happens per-request to ensure consistent access to catalogue pages.
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 amayama.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available catalogue information is generally permissible. DataFlirt targets only public, non-authenticated part numbers, pricing, and fitment data. We do not extract personal data or circumvent authentication walls.
Yes. We extract old and new part numbers, linking them in structured arrays so you can update your internal cross-reference databases accurately.
Yes. Amayama often lists different prices and dispatch times for parts shipping from Japan versus the UAE. We capture these as distinct records.
We extract the URLs for exploded view diagrams and schematics, along with the associated model codes and categories.
Full catalogue refreshes typically run at weekly or monthly cadences. For targeted lists of high-velocity parts, we configure daily pipelines.
Absolutely. We provide a sample run of up to 500 part numbers as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off OEM catalogue dump or continuous price monitoring across thousands of parts — we scope, build, and operate the pipeline. Tell us what you need.
