We extract OEM part catalogues, VIN decoding results, exploded diagrams, and cross-reference fitment data from Partsouq. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for VIN Decoding objects from partsouq.com. All fields typed and schema-versioned.
"vin": "JTDKT23491...", "make": "Toyota", "model": "Camry", "year": "2018", "region": "GCC", "engine": "2ARFE", "transmission": "ATM", "frame_code": "ASV50"
| # | vin | make | model | year | region | engine |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for EPC Diagrams objects from partsouq.com. All fields typed and schema-versioned.
"diagram_id": "FIG-1104", "category": "Engine", "sub_category": "Cylinder Head", "image_url": "https://partsouq.com/assets/...", "make": "Toyota", "model": "Camry", "catalog_code": "671420"
| # | diagram_id | category | sub_category | image_url | part_callouts | make |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Part Listings objects from partsouq.com. All fields typed and schema-versioned.
"part_number": "11101-39745", "description": "HEAD SUB-ASSY, CYLINDER", "make": "Toyota", "price_usd": 845.2, "stock_status": "In Stock", "weight_kg": 14.5
| # | part_number | description | make | price_usd | stock_status | weight_kg |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Vehicle Fitment objects from partsouq.com. All fields typed and schema-versioned.
"part_number": "11101-39745", "compatible_makes": "['Toyota', 'Lexus']", "compatible_models": "['Camry', 'ES250']", "year_start": 2012, "year_end": 2018, "engine_types": "['2ARFE']"
| # | part_number | compatible_makes | compatible_models | year_start | year_end | engine_types |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Category Hierarchy objects from partsouq.com. All fields typed and schema-versioned.
"make": "Nissan", "region": "Middle East", "model": "Patrol", "catalog_code": "Y62", "group_name": "Body", "sub_group": "Front Bumper", "diagram_count": 4
| # | make | region | model | catalog_code | group_name | sub_group |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Partsouq scraper handles the complex hierarchy of automotive fitment data: VIN decoding, nested assemblies, coordinate-mapped diagrams, and supersession chains.
Extract entire Electronic Parts Catalogues by Make, Model, and Region down to the individual bolt.
Submit lists of VINs to extract exact production dates, frame codes, engine types, and compatible part lists.
Capture part replacement chains, noting exactly which old part numbers are superseded by new ones.
Extract image URLs alongside the HTML coordinate maps that link specific pixels to part numbers.
Capture real-time USD pricing, stock availability, and estimated delivery days for individual components.
Extract region-specific fitment data across GCC, US, Europe, and Japan market specifications.
Map OEM part numbers across shared platforms and badge-engineered models.
Bypass strict VIN search limits and session expirations using distributed IP pools.
Run continuous pipelines to detect price changes or stock depletion without re-scraping the entire catalogue.
Brief in. Clean data out.
Provide VIN lists, target makes, or specific part numbers. We design the relational schema together.
We configure distributed crawlers, session management, and diagram parsing logic for Partsouq.
Schema validation, null-rate checks, and fitment logic verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Automotive catalogues are deeply nested and heavily rate-limited. Here is how we maintain data integrity.
Partsouq strictly limits the number of VIN searches per IP. We distribute search queries across a pool of residential proxies, ensuring continuous throughput without triggering blocks or CAPTCHAs.
Part diagrams rely on complex HTML image maps to link visual callouts to part numbers. Our parsers extract these coordinate sets, allowing you to recreate interactive diagrams in your own applications.
Automotive data requires recursive spidering through Make > Model > Year > Region > Group > Subgroup. We maintain strict state tracking to ensure no sub-category is dropped during extraction.
Catalogue navigation often relies on session cookies to maintain the selected vehicle context. We manage cookie jars per concurrent worker to prevent cross-contamination of fitment data.
OEM part numbers often appear with or without hyphens depending on the view. We normalise all part numbers to standard formats while retaining the raw string for exact matching.
Aftermarket manufacturers map their products to OEM part numbers and fitment data to ensure accurate compatibility.
SaaS platforms ingest pricing and superseded part chains to generate accurate repair estimates for mechanics.
Parts distributors monitor stock availability and pricing to optimise their own inventory procurement.
Insurers decode VINs to verify exact vehicle specifications and cross-check OEM part prices on repair invoices.
Data science teams train machine learning models on massive sets of vehicle fitment relationships to predict part compatibility.
Wholesale exporters track global OEM pricing fluctuations to adjust their own B2B margins.
"Partsouq holds one of the most comprehensive public Electronic Parts Catalogues globally, but extracting relational fitment data requires a highly resilient pipeline."
Automotive data relies on strict hierarchies. A single missing fitment link invalidates the dataset. DataFlirt handles the recursive catalogue spidering, VIN search throttling, and diagram coordinate mapping so your engineers can focus on product development, not scraper maintenance.
Everything supported by our partsouq.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 recursive catalogue navigation and deduplication. Playwright manages complex session state and renders dynamic diagram components.
Redis-backed priority queues manage bulk VIN decoding requests, ensuring rate limits are respected without stalling the broader pipeline.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About partsouq.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available catalogue information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated OEM part data, diagrams, 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 distribute VIN decoding requests across a large pool of residential ISP proxies and implement strict concurrency limits per IP to avoid triggering rate blocks or CAPTCHA challenges.
We extract data for all makes available on Partsouq, including Toyota, Nissan, Lexus, Mitsubishi, Subaru, Honda, Hyundai, Kia, and more, across all regional catalogues.
Yes. We extract the base image URLs alongside the HTML coordinate maps, allowing you to rebuild the interactive click-to-part functionality in your own applications.
For continuous pipelines, we can run daily or weekly diffs to capture pricing updates and stock availability changes without re-scraping the entire static catalogue.
Our smallest packages start at a defined list of 10,000 VINs or a specific Make/Model subset. For full catalogue extractions, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off OEM catalogue dump or continuous VIN decoding at scale, we scope, build, and operate the pipeline. Tell us what you need.
