We extract vehicle listings, dealer catalogues, FIPE pricing signals, and financing rates from iCarros. 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 icarros.com.br. All fields typed and schema-versioned.
"listing_id": "39481922", "make": "Volkswagen", "model": "Nivus", "trim": "1.0 200 TSI Highline", "year_model": 2023, "price": 128900.0, "fipe_price": 125400.0, "mileage": 14500, "city": "São Paulo", "state": "SP"
| # | listing_id | make | model | trim | year_manufacture | year_model |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dealer Data objects from icarros.com.br. All fields typed and schema-versioned.
"dealer_id": "D-84721", "dealer_name": "Paulista Motors", "rating": 4.7, "review_count": 142, "city": "São Paulo", "state": "SP", "whatsapp_available": true, "active_inventory_count": 84
| # | dealer_id | dealer_name | dealer_url | rating | review_count | address |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for FIPE Pricing objects from icarros.com.br. All fields typed and schema-versioned.
"fipe_code": "005512-3", "make": "Volkswagen", "model": "Nivus Highline", "year": 2023, "reference_month": "2026-05", "fipe_value": 125400.0, "listing_price_avg": 127850.0, "premium_pct": 1.95
| # | fipe_code | make | model | year | reference_month | fipe_value |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Vehicle Features objects from icarros.com.br. All fields typed and schema-versioned.
"listing_id": "39481922", "body_type": "SUV", "armored": false, "ipva_paid": true, "single_owner": true, "dealership_warranty": true, "features_list": "['Air Conditioning', 'Bluetooth', 'Leather Seats', 'Alloy Wheels']"
| # | listing_id | doors | body_type | engine_capacity | armored | ipva_paid |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Financing Options objects from icarros.com.br. All fields typed and schema-versioned.
"listing_id": "39481922", "vehicle_price": 128900.0, "bank_provider": "Itaú", "down_payment_value": 38670.0, "installments_count": 48, "installment_value": 2845.5, "interest_rate_monthly": 1.49, "simulation_timestamp": "2026-05-12T10:30:00Z"
| # | listing_id | vehicle_price | bank_provider | down_payment_value | down_payment_pct | installments_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our iCarros scraper handles the entire platform layer: private listings, dealer catalogues, dynamic FIPE comparisons, and financing widgets, with CAPTCHA circumvention built in.
Make, model, year, trim, mileage, fuel type, and transmission extracted directly from listing metadata.
Capture listed price versus official FIPE valuation to calculate market premiums and depreciation curves.
Map entire dealer catalogues, stock turnover rates, and average pricing across specific regions.
Extract installment plans, down payment requirements, and Itaú financing rates rendered via JavaScript.
Normalise vehicle locations across Brazilian states, cities, and specific CEP codes for regional price analysis.
Distinguish between individual sellers and professional dealerships instantly for targeted acquisition.
Extract documentation status, IPVA payment confirmation, and vehicle armoring details.
Capture full image galleries for computer vision models or listing verification workflows.
Run continuous pipelines at daily cadences to track price drops, sold vehicles, and new inventory.
Brief in. Clean data out.
Provide vehicle makes, geographic regions, or dealer profiles. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for icarros.com.br.
Schema validation, null-rate checks, price-outlier detection, and sample listings before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Brazilian classifieds deploy aggressive rate limiting. Here is how we stay resilient and why teams choose managed infrastructure.
Automated requests are quickly blocked by regional firewalls. Our crawlers use Brazilian residential ISP proxies with realistic browser fingerprints and full cookie session management.
Financing simulators and dynamic image galleries are heavily JavaScript-rendered. We run full Playwright browser sessions to trigger lazy-loads and hydrate dynamic pricing widgets.
iCarros alters visibility and pricing based on the user location. We inject specific CEP codes into the session to ensure accurate data extraction for targeted Brazilian states.
For large vehicle catalogues, we maintain a hash index of last-seen values per field. 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, price outliers, schema drift, and coverage drops before you notice.
Compare real-world asking prices against official Tabela FIPE valuations to identify market premiums and depreciation trends.
Track competitor inventory, pricing strategies, and days on market across specific Brazilian regions.
Identify private sellers for trade-in offers, direct vehicle acquisition, or financing partnerships.
Correlate vehicle models, locations, armoring status, and market values for accurate policy underwriting.
Monitor average vehicle financing terms, down payment trends, and bank interest rates across different vehicle segments.
Identify bulk purchasing opportunities, track depreciation curves, and optimise fleet disposal timing.
"The Brazilian automotive market moves fast. iCarros holds the definitive dataset for vehicle valuations, but extracting it at scale requires serious infrastructure."
Most teams underestimate the investment required. Reliable iCarros scraping requires Brazilian residential proxies, full JavaScript rendering for financing widgets, CAPTCHA handling, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our icarros.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 handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows for financing widgets.
We maintain pools of residential ISP proxies across Brazilian regions. Rotation happens per-request with sticky sessions where required to bypass rate limits.
Pipelines run on AWS Lambda and ECS. 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 icarros.com.br scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available vehicle listings and dealer information is generally permissible. DataFlirt targets only public, non-authenticated data. We do not extract personal data, circumvent authentication walls, or violate LGPD guidelines. Clients should review platform terms and consult legal counsel for specific use cases.
We use Brazilian residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains to handle frequent DOM changes.
Yes. We automate the interaction with the embedded Itaú financing widgets to extract required down payments, installment counts, and monthly interest rates for specific vehicles.
Real-time streaming pipelines achieve sub-60-minute latency for specific models or regions. Full catalogue refreshes at daily cadence complete within a 6-12 hour window depending on target size.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table per listing for asking price, FIPE valuation, and days on market from the date your pipeline starts.
Our smallest packages start at a defined regional scope or specific vehicle makes with weekly delivery. For full national catalogues, we price based on volume and delivery frequency.
We extract the FIPE valuation displayed on the listing at the time of the scrape. Historical time-series comparisons are built incrementally from the first day your pipeline is active.
Absolutely. We provide a sample run of up to 500 vehicle listings or 50 dealer profiles as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily dump of São Paulo listings or continuous national price monitoring, we scope, build, and operate the pipeline. Tell us what you need.
