We extract new and used vehicle listings, True Market Value pricing, dealer inventory, consumer reviews, and trim specifications from Edmunds. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Vehicle Inventory objects from edmunds.com. All fields typed and schema-versioned.
"vin": "1G1RC6E49EU123456", "make": "Chevrolet", "model": "Corvette", "year": 2024, "trim": "Stingray 1LT", "price": 68300.0, "mileage": 12, "exterior_colour": "Torch Red", "condition": "New"
| # | vin | make | model | year | trim | price |
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Complete list of extractable fields for True Market Value objects from edmunds.com. All fields typed and schema-versioned.
"make": "Toyota", "model": "Camry", "year": 2023, "trim": "LE", "msrp": 26320.0, "invoice_price": 24850.0, "tmv_retail": 25900.0, "tmv_trade_in": 22100.0
| # | vin | make | model | year | trim | msrp |
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Complete list of extractable fields for Technical Specs objects from edmunds.com. All fields typed and schema-versioned.
"make": "Honda", "model": "Civic", "year": 2024, "trim": "Touring", "engine_type": "1.5L Inline-4 Gas", "transmission": "Continuously Variable", "drivetrain": "Front Wheel Drive", "horsepower": 180, "mpg_city": 31, "mpg_highway": 38
| # | make | model | year | trim | engine_type | transmission |
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Complete list of extractable fields for Consumer Reviews objects from edmunds.com. All fields typed and schema-versioned.
"review_id": "REV-982347", "make": "Ford", "model": "F-150", "year": 2023, "rating": 4.5, "title": "Great truck, poor fuel economy", "author": "TruckGuy88", "date": "2023-11-14", "helpful_votes": 24
| # | review_id | make | model | year | rating | title |
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Complete list of extractable fields for Dealer Data objects from edmunds.com. All fields typed and schema-versioned.
"dealer_id": "DLR-45921", "name": "Downtown Ford", "city": "Austin", "state": "TX", "rating": 4.2, "review_count": 342, "inventory_count": 128, "is_premier": true
| # | dealer_id | name | address | city | state | zip |
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Our Edmunds scraper navigates complex search filters, dynamic inventory loading, and detailed specification pages. We bypass anti-bot systems to deliver structured automotive data at scale.
Extract new, used, and certified pre-owned listings across specific geographic radii or nationwide.
Capture Edmunds TMV pricing, MSRP, invoice prices, and dealer adjustments for precise market valuation.
Extract engine details, transmission, dimensions, fuel economy, and feature lists for every trim level.
Scrape star ratings, text reviews, and sub-category scores for reliability, comfort, and performance.
Track dealer inventory size, pricing strategies, consumer ratings, and contact information.
Extract listing data tied directly to specific Vehicle Identification Numbers for precise matching.
Capture exterior and interior image URLs for inventory listings and stock photography.
Monitor inventory over time to identify price reductions and days on market for specific vehicles.
Configure daily or weekly runs to maintain an up-to-date view of local or national vehicle markets.
Brief in. Clean data out.
Provide target makes, models, ZIP codes, search radii, or dealer IDs. We design the extraction schema.
We configure Scrapy crawlers, Playwright sessions for dynamic content, and proxy rotation for edmunds.com.
Schema validation, null-rate checks, and data normalisation before full production launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Automotive sites use aggressive bot protection and complex dynamic loading. Here is how we maintain reliable data flow.
Edmunds implements strict rate limiting and IP blocking. Our crawlers use US-based residential ISP proxies with realistic browser fingerprints to maintain access without triggering security blocks.
Vehicle search results and infinite scroll features require JavaScript execution. We run Playwright browser sessions to trigger lazy-loading and capture complete inventory lists.
Automotive trim names and specification tables vary wildly between manufacturers. Our extraction logic normalises these fields into consistent, queryable database columns.
We maintain state across pipeline runs to identify newly listed vehicles, price changes, and removed inventory, delivering precise market movement data.
Every run emits structured logs. We alert on extraction failures, schema drift, and coverage drops, ensuring SLA compliance.
Dealerships and automotive groups monitor local competitor pricing and inventory levels.
Analysts track vehicle depreciation curves, days on market, and regional pricing variations.
OEMs monitor franchise dealer compliance with pricing guidelines and track overall dealer performance ratings.
Machine learning teams use vehicle specifications and pricing histories to train valuation models.
Financial institutions use True Market Value data to assess loan-to-value ratios and insurance payouts.
Product teams analyse text reviews to identify common complaints and praise for specific vehicle models.
"Edmunds holds the automotive industry standard for vehicle valuation and inventory data, but accessing it programmatically requires dedicated extraction infrastructure."
Automotive data extraction requires handling complex search parameters, dynamic inventory loading, and persistent bot mitigation. DataFlirt manages the residential proxies, JavaScript rendering, and schema maintenance. Your engineering team receives clean, normalised vehicle records ready for database ingestion.
Everything supported by our edmunds.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 retry logic. Playwright handles JavaScript rendering for dynamic inventory pages.
We maintain pools of US residential ISP proxies. Rotation happens per request to bypass strict automotive site bot protection.
Pipelines run on AWS infrastructure. Airflow handles scheduling and dependency management. All state stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About edmunds.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available vehicle listings and pricing data is generally permissible. DataFlirt extracts only public, non-authenticated data. We do not bypass login walls or extract personal user data. Clients should consult legal counsel regarding their specific use cases.
Vehicle search results on Edmunds use JavaScript for infinite scrolling and lazy loading. We use Playwright to execute JavaScript and simulate user scroll events, ensuring complete data capture.
Yes. We can configure pipelines based on specific ZIP codes and search radii to target local market inventory and pricing.
Pipelines can be scheduled daily or weekly. We track changes between runs to identify new listings, sold vehicles, and price adjustments.
Our extraction logic normalises make, model, and trim data to ensure consistent formatting across the dataset, simplifying downstream analysis.
Our minimum engagements typically cover specific vehicle segments or regional dealer networks. Contact us to scope your precise data requirements.
Yes. We provide sample extractions of specific makes or models during the scoping process to validate schema structure and data accuracy.
20-minute scoping call. Pilot dataset within the week. Production within two. From targeted local dealer inventory to nationwide vehicle pricing analysis. We build and operate the extraction infrastructure. Tell us your requirements.
