We extract used and new vehicle listings, dealer inventories, pricing histories, and vehicle specifications from seminuevos.com. 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 seminuevos.com. All fields typed and schema-versioned.
"listing_id": "SMN-8492104", "make": "Volkswagen", "model": "Jetta", "year": 2019, "price": 285000.0, "currency": "MXN", "mileage_km": 42500, "colour": "Silver"
| # | listing_id | url | make | model | year | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Financing objects from seminuevos.com. All fields typed and schema-versioned.
"listing_id": "SMN-8492104", "price": 285000.0, "previous_price": 295000.0, "discount_pct": 3.3, "financing_available": true, "down_payment": 57000.0, "seller_type": "dealer", "scraped_at": "2026-05-12T10:14:00Z"
| # | listing_id | price | previous_price | discount_pct | financing_available | monthly_payment |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Vehicle Specs objects from seminuevos.com. All fields typed and schema-versioned.
"listing_id": "SMN-8492104", "vin": "3VW1K7AJ5KM09XXXX", "engine_size": "1.4L", "cylinders": 4, "doors": 4, "condition": "used", "plate_ending": "7"
| # | listing_id | vin | engine_size | cylinders | doors | drivetrain |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seller & Dealer objects from seminuevos.com. All fields typed and schema-versioned.
"seller_id": "DLR-9921", "seller_name": "Autos del Valle", "seller_type": "dealer", "whatsapp_number": "+525512345678", "location_state": "Ciudad de México", "location_city": "Benito Juárez", "verified_seller": true, "inventory_count": 45
| # | seller_id | seller_name | seller_type | contact_phone | whatsapp_number | location_state |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Market Metrics objects from seminuevos.com. All fields typed and schema-versioned.
"search_query": "volkswagen jetta cdmx", "position": 3, "page_number": 1, "is_promoted": true, "days_on_market": 14, "view_count": 342, "scraped_at": "2026-05-12T10:14:33Z"
| # | search_query | position | page_number | is_promoted | days_on_market | view_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Seminuevos scraper extracts the complete vehicle taxonomy, pricing signals, and seller intelligence. We bypass bot protections and render JavaScript to capture gated contact details and dynamic pricing.
Extract make, model, year, trim, mileage, and condition across the entire seminuevos.com catalogue. Filter by location, price bands, or vehicle type.
Capture current listing prices, historical price drops, and financing estimates. Monitor how long vehicles remain on the market before price adjustments.
Aggregate inventory by dealership. Track stock turnover rates, pricing strategies, and regional market share for commercial sellers.
Execute JavaScript interactions to reveal obfuscated phone numbers and WhatsApp links for both private sellers and dealerships.
Identify sponsored placements and premium listings in search results to analyse dealer marketing spend and visibility.
Extract detailed technical specifications including VINs, engine sizes, transmission types, and equipment feature lists.
Normalise state, municipality, and neighbourhood data to track automotive supply and demand density across Mexico.
Capture high-resolution image URLs for every listing, useful for condition verification and machine learning model training.
Run continuous pipelines at daily or weekly cadences. Receive only incremental diffs for new listings, price changes, and sold vehicles.
Brief in. Clean data out.
Provide target makes, models, geographic regions, or specific dealer URLs. We map the extraction schema to your requirements.
We configure Scrapy and Playwright crawlers, LatAm residential proxy rotation, and interaction scripts for contact reveals.
Schema validation, null-rate checks on critical fields like VIN and price, and data normalisation before full launch.
Structured JSON, CSV, or Parquet pushed directly to your S3 bucket, BigQuery, or Snowflake stage.
Seminuevos employs structural variations and bot protections to protect its inventory data. Here is how we maintain reliable extraction.
Automotive marketplaces block data centre IPs aggressively. We route requests through residential ISP proxies based in Mexico and Latin America, maintaining realistic request patterns and session continuity to avoid rate limits.
Phone numbers and WhatsApp contact links on seminuevos.com require user interaction to reveal. We use headless Playwright sessions to simulate clicks and execute the necessary JavaScript, capturing data that static HTML parsers miss.
Listing layouts vary significantly between private sellers and commercial dealerships. Our extraction logic uses conditional fallback chains to ensure fields like mileage, price, and features are parsed correctly regardless of the template.
We maintain state across pipeline runs. When a listing disappears, it is flagged as sold or removed. When a price changes, we emit a diff record. This provides accurate days-on-market metrics and reduces downstream processing.
Our observability stack monitors null rates for critical fields like price and VIN. If seminuevos.com deploys a frontend update that breaks a selector, our engineers receive an alert and deploy a fix immediately.
Dealerships and aggregators monitor regional pricing trends to accurately price trade-ins and optimise their own inventory margins.
OEMs and large dealer networks track competitor stock levels, turnover velocity, and market share across specific vehicle segments.
B2B service providers extract dealership contact information and inventory size to qualify sales leads for automotive software and services.
Analysts track supply and demand dynamics, average days on market, and depreciation curves for specific makes and models.
Machine learning teams use historical pricing, mileage, year, and condition data to train automated vehicle valuation algorithms.
Financial institutions correlate vehicle market values with regional data to assess loan-to-value ratios and insurance premiums.
"Seminuevos.com holds the definitive pulse of the Mexican automotive market, but querying that inventory at scale requires bypassing stringent bot protections."
Extracting automotive data requires more than simple HTTP requests. Phone numbers and WhatsApp links are gated behind JavaScript interactions, and listing layouts vary wildly between private sellers and commercial dealerships. DataFlirt manages these complexities, delivering structured vehicle data so your engineering team can focus on downstream analytics rather than maintaining scrapers.
Everything supported by our seminuevos.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 manages crawl queues and deduplication. Playwright handles the JavaScript rendering required to expose phone numbers and dynamic pricing data.
We utilise dedicated pools of Mexican and LatAm residential proxies. Rotation happens automatically to distribute request load and bypass IP reputation filters.
Airflow schedules extraction runs across Kubernetes clusters. State and diff histories are maintained in PostgreSQL, ensuring you only receive updated records.
Data delivered to where your team already works — no new tooling required.
About seminuevos.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available vehicle listings and dealership information is generally permissible. DataFlirt extracts only public, non-authenticated data. We do not bypass login walls to access private dealer analytics or personal user accounts.
These elements are typically hidden behind JavaScript click events to deter basic scrapers. We use headless Playwright browsers to render the page, simulate the required user interaction, and extract the revealed contact text.
Yes. By running continuous pipelines and maintaining state in our database, we track the date a listing first appears and the date it is removed, providing accurate days-on-market metrics.
Pipelines can be configured to run daily or multiple times a day depending on your requirements. We use change-detection to push updates rapidly when prices drop or vehicles are sold.
Yes. Where provided by the seller, we extract the VIN, engine specifications, transmission type, and standard features, structuring them into a normalised schema.
We build pipelines for targeted extractions (e.g., specific makes/models) up to full-site daily catalogues. Pricing scales with data volume and extraction frequency. Contact us for a specific quote.
Yes. We offer a sample extraction of up to 500 vehicle listings during the scoping phase, allowing your team to validate field completeness and data structure.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily price tracking for specific models or a complete snapshot of Mexican dealership inventories. We build and manage the infrastructure.
