We extract aftermarket part catalogues, YMME fitment tables, OEM cross-references, and pricing signals from 1aauto. 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 Listings objects from 1aauto.com. All fields typed and schema-versioned.
"sku": "1AEEK00012", "title": "Front Driver and Passenger Side Lower Control Arm Set", "brand": "TRQ", "category": "Suspension", "rating": 4.8, "review_count": 142, "in_stock": true
| # | sku | title | brand | category | sub_category | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fitment (YMME) objects from 1aauto.com. All fields typed and schema-versioned.
"sku": "1AEEK00012", "year": 2015, "make": "Honda", "model": "Civic", "submodel": "EX", "engine": "1.8L L4", "fitment_type": "Direct Replacement"
| # | sku | year | make | model | submodel | engine |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Stock objects from 1aauto.com. All fields typed and schema-versioned.
"sku": "1AEEK00012", "price": 124.95, "list_price": 149.95, "discount_pct": 16, "currency": "USD", "in_stock": true, "shipping_type": "Free Ground Shipping"
| # | sku | price | list_price | discount_pct | currency | in_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for OEM Cross-Reference objects from 1aauto.com. All fields typed and schema-versioned.
"sku": "1AEEK00012", "oem_part_number": "51350TR0A01", "manufacturer": "Honda", "interchange_part_number": "CMS601114", "verification_status": "Verified", "scraped_at": "2026-05-12T09:14:00Z"
| # | sku | oem_part_number | manufacturer | interchange_part_number | replacement_for | notes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Specifications objects from 1aauto.com. All fields typed and schema-versioned.
"sku": "1AEEK00012", "part_type": "Control Arm", "material": "Stamped Steel", "finish": "Corrosion Resistant", "placement_on_vehicle": "Front Lower", "included_hardware": "Bushings, Ball Joints"
| # | sku | part_type | material | finish | dimensions | weight |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our 1Aauto scraper handles every layer of the automotive catalogue: part listings, YMME fitment tables, OEM cross-references, and pricing data - with JavaScript rendering and session management built in.
Title, brand, description, specifications, images, and kit components - scraped at SKU level with complete metadata.
Programmatic extraction of Year, Make, Model, and Engine compatibility tables for every part in the catalogue.
Extract OEM part numbers, interchange numbers, and replacement mappings to link aftermarket parts to original equipment.
Capture current price, list price, discount percentage, and stock status - timestamped per crawl.
Extract embedded instructional video URLs and repair guides associated with specific auto parts.
Map the full category tree from primary systems (e.g., Engine, Suspension) down to specific part types.
Extract aggregate star ratings and review counts for quality analysis and competitor benchmarking.
Identify and extract individual part numbers and quantities included within bundled repair kits.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Brief in. Clean data out.
Provide category URLs, SKU lists, or YMME parameters. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for 1aauto.com.
Schema validation, null-rate checks, price-outlier detection, and fitment mapping checks before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Automotive eCommerce sites rely on complex state machines for fitment data. Here is how we extract it reliably at scale.
Extracting accurate fitment data requires sequential interaction with Year, Make, Model, and Engine dropdowns. Our Playwright scripts maintain cookie sessions and execute the exact JavaScript required to hydrate fitment tables.
A single universal part can have thousands of compatible vehicles. Our crawlers handle deep pagination and dynamic table loading to ensure zero truncated fitment records.
We route requests through US-based residential ISP proxies with realistic browser fingerprints and request timing to avoid IP bans and CAPTCHA walls.
Our selector strategy uses multiple fallback chains per field - CSS selectors, XPath, and JSON-LD extraction - so a layout change does not break your data pipeline.
For large part catalogues, we maintain a hash index of last-seen values. Subsequent runs only push diffs - reducing compute cost and downstream processing load.
Aftermarket retailers track pricing and discount strategies across thousands of SKUs to optimise their own pricing engines.
Auto parts distributors use OEM cross-reference data to identify gaps in their catalogue and source new replacement parts.
Manufacturers map their YMME coverage against 1Aauto to identify vehicle applications they currently do not support.
Shop management platforms ingest part specifications, pricing, and video links to enrich their estimating tools.
Data science teams train entity resolution models using titles, descriptions, and OEM numbers to match parts across different suppliers.
Supply chain analysts correlate stock status changes and review velocity to estimate demand for specific part categories.
"Automotive aftermarket eCommerce relies entirely on accurate YMME fitment mappings - without structural extraction, the raw part data is useless."
Extracting data from 1Aauto requires programmatic traversal of complex Year-Make-Model-Engine state machines. DataFlirt manages the JavaScript execution and proxy rotation required to pull complete fitment tables, OEM cross-references, and pricing signals without triggering bot mitigations.
Everything supported by our 1aauto.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, YMME state management, and interaction flows.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions where required for fitment traversal.
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 1aauto.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from 1aauto.com is generally permissible under applicable law. DataFlirt targets only public, non-authenticated part data, fitment tables, and pricing. We do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
We use Playwright to programmatically interact with the Year, Make, Model, and Engine dropdowns, managing the required cookie state and JavaScript execution to render the complete fitment tables for extraction.
Yes. We extract all listed OEM part numbers, interchange numbers, and replacement mappings associated with each aftermarket SKU.
Full catalogue refreshes typically run at a weekly or daily cadence depending on volume. Targeted pipelines monitoring specific SKUs for price changes can run at hourly intervals.
Our smallest packages start at a defined category or SKU list (typically 10,000 parts) with weekly delivery. For full catalogue extraction, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 SKUs as part of the pre-engagement scoping process - so you can validate schema fit, field completeness, and data quality before signing.
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 180K parts - we scope, build, and operate the pipeline. Tell us what you need.
