We extract vehicle listings, VIN histories, market value ratings, and dealer intelligence from iSeeCars. 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 Vehicle Listings objects from iseecars.com. All fields typed and schema-versioned.
"vin": "1G1RC6E49EU123456", "make": "Chevrolet", "model": "Volt", "year": 2014, "mileage": 84210, "price": 12500.0, "exterior_colour": "Silver Ice Metallic", "transmission": "Automatic"
| # | vin | make | model | year | trim | body_style |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Market Value objects from iseecars.com. All fields typed and schema-versioned.
"vin": "1G1RC6E49EU123456", "listed_price": 12500.0, "iseecars_market_value": 13200.0, "price_difference": -700.0, "price_rating": "Good Deal", "days_on_market": 14, "savings_amount": 700.0, "currency": "USD"
| # | vin | listed_price | iseecars_market_value | price_difference | price_rating | days_on_market |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Dealer Data objects from iseecars.com. All fields typed and schema-versioned.
"dealer_id": "DLR-8492", "name": "Metro Auto Sales", "city": "Chicago", "state": "IL", "zip_code": "60601", "rating": 4.2, "review_count": 342, "inventory_size": 128
| # | dealer_id | name | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Vehicle History objects from iseecars.com. All fields typed and schema-versioned.
"vin": "1G1RC6E49EU123456", "accident_count": 0, "owner_count": 2, "usage_type": "Personal", "title_status": "Clean", "open_recalls": 0, "salvage_record": false, "theft_record": false
| # | vin | accident_count | owner_count | usage_type | title_status | last_service_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Search Results objects from iseecars.com. All fields typed and schema-versioned.
"search_zip_code": "90210", "search_radius": 50, "position": 1, "vin": "1G1RC6E49EU123456", "year": 2014, "make": "Chevrolet", "model": "Volt", "price": 12500.0
| # | search_zip_code | search_radius | keyword | position | vin | year |
|---|---|---|---|---|---|---|
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Our iSeeCars scraper handles geographic search parameters, dynamic pricing widgets, VIN analysis, and dealer inventory mapping — with anti-bot circumvention built in.
Make, model, year, trim, mileage, and VIN level details across specific geographic radii.
Extract iSeeCars proprietary price ratings, market value estimates, and savings calculations.
Capture dealer names, locations, review scores, and total inventory counts.
Parse accident reports, owner counts, usage types, and title statuses linked to listings.
Monitor listing price changes over time and days on market metrics.
Scrape inventory based on specific zip codes and search radii to map local market dynamics.
Retrieve high resolution exterior and interior vehicle image URLs.
Cross reference extracted listing data with standard VIN decoding parameters.
Run continuous pipelines at daily or hourly cadences to track fast moving inventory.
Brief in. Clean data out.
Provide zip codes, makes, models, or specific VIN lists. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for iseecars.com.
Schema validation, null-rate checks, price-outlier detection, and sample data review before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Automotive aggregators deploy strict rate limits and location based rendering. Here is how we maintain stable extraction.
Automotive sites block data center IPs aggressively. Our crawlers use US residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Vehicle availability and pricing depend entirely on user location. We inject specific zip codes and search radii into the browser session state to extract accurate local inventory data.
iSeeCars market value charts and price history graphs are heavily JavaScript rendered. We run full Playwright browser sessions to trigger these visual elements and extract the underlying JSON data.
Used car inventory moves fast. We maintain a hash index of last-seen values per VIN. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, zero-inventory returns, schema drift, and coverage drops.
Dealerships track local market values, price drops, and competitor inventory to optimise their own pricing strategies.
Lenders evaluate vehicle collateral values and depreciation curves to assess loan-to-value ratios.
Insurers cross reference accident histories and vehicle usage types to refine risk models.
Acquisition teams identify undervalued inventory across multiple states for bulk purchasing.
Dealer groups monitor rival inventory velocity and days on market metrics.
Data science teams train depreciation curves and residual value models using historical listing data.
"iSeeCars aggregates millions of data points on vehicle depreciation and market value — but extracting that intelligence requires specialised infrastructure."
Scraping automotive aggregators requires bypassing location based rate limits, rendering heavy JavaScript pricing modules, and managing continuous state across thousands of zip codes. DataFlirt handles the complex proxy rotation and session management so your team can focus on market analysis rather than bot blocks.
Everything supported by our iseecars.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. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of US residential ISP proxies. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 iseecars.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from iSeeCars is generally permissible under applicable law in the US. DataFlirt targets only public, non-authenticated vehicle inventory, pricing, and dealer data. 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 programmatically set the zip code and search radius parameters in the browser session state before executing the search. This ensures we capture accurate local inventory and pricing data identical to a local user.
Yes. We capture the proprietary price rating (e.g., Good Deal, Great Deal), the estimated market value, and the calculated savings amount for each listing.
We can configure pipelines to run daily or hourly depending on your requirements. Change detection ensures you receive updates immediately when a vehicle price drops or status changes.
We extract the publicly visible history summary on the listing page, which includes accident counts, owner counts, usage type, and title status. We do not bypass paywalls for full premium reports.
Our smallest packages start at a defined set of zip codes or specific makes/models with weekly delivery. For national coverage or custom schema requirements, we price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily dump of local dealer inventory or national pricing trends across millions of VINs — we build and operate the pipeline. Tell us what you need.
