We extract vehicle listings, FIPE comparisons, dealership inventories, and technical specifications from Webmotors. 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 webmotors.com.br. All fields typed and schema-versioned.
"listing_id": "45918273", "make": "Volkswagen", "model": "Polo", "version": "1.0 200 TSI HIGHLINE AUTOMATICO", "year_fabrication": 2022, "year_model": 2023, "price": 105900.0, "mileage": 14500, "location_city": "Sao Paulo", "location_state": "SP"
| # | listing_id | make | model | version | year_fabrication | year_model |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & FIPE objects from webmotors.com.br. All fields typed and schema-versioned.
"listing_id": "45918273", "current_price": 105900.0, "fipe_price": 108500.0, "price_diff_pct": -2.39, "fipe_code": "005494-1", "ipva_paid": true, "licensed": true, "accepts_trade_in": true
| # | listing_id | current_price | fipe_price | price_diff_pct | price_diff_abs | fipe_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Dealership Data objects from webmotors.com.br. All fields typed and schema-versioned.
"dealer_id": "88471", "dealer_name": "Paulista Motors", "inventory_size": 142, "rating": 4.8, "review_count": 314, "location_city": "Campinas", "location_state": "SP", "whatsapp_available": true
| # | dealer_id | dealer_name | inventory_size | rating | review_count | location_address |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from webmotors.com.br. All fields typed and schema-versioned.
"listing_id": "45918273", "engine_capacity": "1.0", "horsepower": 128, "torque": 20.4, "trunk_capacity": 300, "fuel_tank_capacity": 52, "drive_type": "Front-wheel drive", "steering_type": "Electric"
| # | listing_id | engine_capacity | horsepower | torque | top_speed | acceleration_0_100 |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from webmotors.com.br. All fields typed and schema-versioned.
"search_query": "SUV automatico", "location_filter": "SP", "position": 3, "listing_id": "45918273", "promoted_badge": true, "delivery_available": false, "price": 105900.0, "scraped_at": "2026-05-12T14:22:10Z"
| # | search_query | location_filter | position | listing_id | make | model |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Webmotors scraper navigates state-level search grids, dealership inventories, and dynamic React components to extract accurate vehicle data and FIPE table pricing.
Extract make, model, version, year, mileage, and features across the entire Webmotors catalogue, mapped to standard schemas.
Capture the listed price alongside the official FIPE table reference to calculate market premiums or discounts instantly.
Aggregate total inventory sizes, ratings, and location data for registered dealerships operating on the platform.
Extract detailed vehicle specifications including engine displacement, horsepower, torque, and trunk capacity from nested tabs.
Route requests through state-specific Brazilian proxies to capture accurate regional pricing and availability.
Identify sponsored placements versus organic search results to analyse dealership marketing spend and visibility.
Capture high-resolution image URLs for every listing, useful for computer vision models or condition assessment.
Extract simulated down payment and monthly installment estimates displayed on individual vehicle pages.
Run continuous pipelines to detect newly listed vehicles, price drops, and sold inventory with daily or hourly cadences.
Brief in. Clean data out.
Provide target makes, models, geographic regions, or specific dealership IDs. We configure the extraction logic.
We deploy Scrapy crawlers with Brazilian residential proxies and React hydration handling to bypass Webmotors protections.
We validate FIPE price comparisons, null rates on technical specs, and location accuracy before production launch.
Structured data is pushed to your S3 bucket, BigQuery dataset, or via Webhook on your defined schedule.
Webmotors employs strict rate limits and modern bot protection. Here is how we ensure reliable data delivery.
Webmotors uses aggressive bot mitigation. We route traffic through Brazilian residential IP pools and rotate TLS fingerprints to maintain high success rates without triggering blocks.
Listings and FIPE comparisons are rendered dynamically. Our Playwright nodes execute JavaScript to ensure all pricing widgets and technical specification tabs are fully loaded before extraction.
Webmotors caps search results at a hard limit. We bypass this by programmatically splitting broad queries into micro-grids based on price brackets and granular geographic filters to extract the full catalogue.
Automotive marketplaces update their UI frequently. We target underlying Next.js data objects and API responses rather than brittle CSS selectors, ensuring pipeline stability.
We normalise inconsistent user inputs for trim levels, colours, and transmission types into a clean, structured taxonomy ready for immediate database ingestion.
Automotive pricing platforms track listing prices against FIPE benchmarks to build accurate depreciation curves and market valuation models.
Large dealer groups monitor competing inventories, pricing strategies, and days-on-market metrics across different Brazilian states.
Financial institutions analyse listing volume and time-to-sale metrics to gauge macroeconomic trends and automotive market health.
Insurers extract vehicle specifications and regional pricing variations to adjust premium calculations and assess replacement costs.
Rental companies and fleet operators monitor the secondary market to optimise the timing and pricing of their vehicle defleeting processes.
Data science teams train machine learning models on millions of historical listings to predict future vehicle values based on mileage and location.
"Webmotors holds the definitive pulse on the Brazilian automotive market, but querying its vast inventory requires bypassing aggressive anti-scraping layers."
Extracting vehicle data at scale requires Brazilian residential proxies, handling complex React hydration states, and bypassing strict pagination limits. DataFlirt manages this infrastructure entirely, ensuring your data lake receives clean, normalised automotive records daily without engineering overhead.
Everything supported by our webmotors.com.br 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 orchestration and deduplication, while Playwright handles Next.js hydration and dynamic pricing widgets on listing pages.
We utilise Brazilian residential proxies to bypass geolocation blocks and capture accurate regional pricing data without triggering bot mitigations.
Pipelines run on AWS infrastructure managed by Apache Airflow, ensuring daily or hourly data deliveries meet strict SLA requirements.
Data delivered to where your team already works — no new tooling required.
About webmotors.com.br scraping, legality, and pipeline operations.
Ask us directly →Scraping public vehicle listings is generally permissible. DataFlirt extracts only publicly visible data, avoiding authenticated areas, private messaging, or PII. Clients must ensure their specific use case complies with local Brazilian regulations including LGPD.
We deploy a combination of Brazilian residential proxies, realistic browser fingerprinting via Playwright, and human-like request pacing to navigate search grids without triggering blocks.
Yes. We capture the FIPE reference price displayed on the listing page alongside the seller's asking price, allowing you to calculate the market premium or discount immediately.
We support daily full-catalogue refreshes or high-frequency intra-day tracking for specific models or regions to detect rapid price adjustments and sold inventory.
Yes. Webmotors limits the number of visible pages for broad searches. We programmatically segment queries by granular price ranges and micro-regions to ensure 100% extraction of the target inventory.
Yes. We offer a sample extraction of up to 1,000 listings based on your target criteria so you can validate our schema and data quality before committing to a production pipeline.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need daily market pricing updates or a complete extraction of dealership inventories, we build and operate the pipeline. Tell us your requirements.
