We extract sporting goods catalogues, dynamic pricing, SKU-level size availability, and brand performance metrics from Centauro.br. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 Product Listings objects from centauro.com.br. All fields typed and schema-versioned.
"sku": "984712", "title": "Tenis Nike Air Zoom Pegasus 40", "brand": "Nike", "price": 799.99, "list_price": 999.99, "discount_pct": 20, "colour": "Preto/Branco", "gender": "Masculino"
| # | sku | title | brand | category | gender | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Size & Inventory objects from centauro.com.br. All fields typed and schema-versioned.
"sku": "984712", "size": "42", "in_stock": true, "stock_level": "low", "price_for_size": 799.99, "delivery_time_days": 4, "store_pickup_eligible": true
| # | sku | size | in_stock | stock_level | price_for_size | delivery_time_days |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from centauro.com.br. All fields typed and schema-versioned.
"review_id": "REV-847291", "sku": "984712", "rating": 4.5, "title": "Excelente para corrida", "body": "Amortecimento perfeito, mas o tamanho e um pouco justo.", "date": "2023-10-15", "helpful_votes": 12, "verified_buyer": true
| # | review_id | sku | rating | title | body | date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Seller Data objects from centauro.com.br. All fields typed and schema-versioned.
"seller_id": "MKT-392", "seller_name": "Mega Esportes", "sku": "984712", "price": 849.9, "shipping_cost": 25.0, "rating": 4.2, "fulfilled_by": "Centauro", "origin_state": "SP"
| # | seller_id | seller_name | sku | price | shipping_cost | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Search Results objects from centauro.com.br. All fields typed and schema-versioned.
"keyword": "chuteira society", "position": 3, "sku": "837492", "title": "Chuteira Society Puma Future", "brand": "Puma", "price": 299.9, "sponsored": false, "scraped_at": "2023-11-01T14:30:00Z"
| # | keyword | position | sku | title | brand | price |
|---|---|---|---|---|---|---|
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Centauro relies heavily on dynamic JavaScript rendering for sizes, regional pricing via CEP codes, and marketplace seller aggregation. We handle the entire extraction complexity.
Extract inventory status and price variations for every shoe size and clothing dimension. Critical for accurate assortment tracking.
Inject specific Brazilian postal codes (CEP) to extract accurate regional pricing, shipping costs, and delivery estimates.
Track Nike, Adidas, Puma, and Asics catalogues. Monitor new arrivals, stock depth, and category dominance.
Capture list prices, current prices, and promotional badges to calculate real discount percentages across the catalogue.
Identify third-party sellers (3P) on Centauro.br. Track their pricing, shipping fees, and fulfilment methods.
Extract customer ratings, review text, and helpful votes to gauge product sentiment and return rates.
Monitor organic and sponsored positions for high-value keywords like 'tenis de corrida' or 'camisa do flamengo'.
Configure hourly or daily pipelines to catch flash sales, stockouts, and rapid price changes in the sneaker market.
Receive only delta updates. We hash the payload and emit records only when prices, sizes, or stock states change.
Brief in. Clean data out.
Provide specific brands, categories, or keywords on Centauro.br. We agree on the data schema and target CEP codes.
We configure crawlers with Brazilian residential proxies and Playwright to render Centauro's dynamic frontend.
We run sample extractions to ensure size variants and marketplace prices match the live site precisely.
Data flows into your S3 bucket, BigQuery, or via Webhook in JSON, CSV, or Parquet format.
Extracting Brazilian retail data requires local infrastructure and deep DOM understanding. Here is how we maintain pipeline stability.
Centauro loads size availability and size-specific pricing via asynchronous JavaScript. We use Playwright to execute the JS, ensuring we capture the exact stock state for a size 42 shoe, not just the generic product metadata.
Shipping costs and third-party seller availability change based on the user's location. Our pipeline injects specified Brazilian CEP codes into the session to extract accurate, region-specific data.
Requests from foreign data centres are routinely blocked. We route all traffic through ISP-grade residential proxies located in Brazil, maintaining clean IP reputations and human-like request patterns.
Centauro operates a hybrid 1P/3P model. Our schema normalises data across Centauro-fulfilled items and third-party sellers, giving you a clean view of the entire Buy Box.
Retail sites update their frontend frameworks frequently. We use multi-layered selector strategies (CSS, XPath, JSON-LD) to ensure a minor UI update does not break your daily data feed.
Retailers monitor Centauro's pricing and discount strategies to adjust their own pricing algorithms dynamically.
Sports brands track their visibility, stock depth, and size availability against competitors on Brazil's largest sporting goods platform.
Secondary market platforms monitor high-demand sneaker drops, tracking size-specific stockouts and restocks.
Manufacturers audit third-party sellers on Centauro to ensure compliance with Minimum Advertised Price policies.
Supply chain teams use review velocity and out-of-stock indicators to predict regional demand for specific apparel categories.
Emerging sports retailers analyse Centauro's category structure and promotional cadence to optimise their own merchandising.
"Centauro dictates the Brazilian sporting goods market. Tracking SKU-level size availability and marketplace pricing separates the market leaders from the laggards."
Extracting reliable data from Centauro requires managing regional ZIP codes for accurate pricing, rendering heavy React frontends for size availability, and bypassing aggressive bot protection. DataFlirt handles the infrastructure complexity so your engineering team can focus on downstream analytics.
Everything supported by our centauro.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 the broad crawl orchestration while Playwright executes the JavaScript required to load Centauro's size and pricing variants.
We utilise dedicated Brazilian residential proxies to ensure high success rates and avoid the bot-mitigation screens triggered by data centre IPs.
Pipelines are scheduled via Apache Airflow and executed on scalable Kubernetes clusters, ensuring daily deliveries meet strict SLAs.
Data delivered to where your team already works — no new tooling required.
About centauro.com.br scraping, legality, and pipeline operations.
Ask us directly →Yes. Centauro frequently alters pricing based on size availability. Our pipeline renders the size grid and extracts the specific price, list price, and stock status for every available size variant.
We configure the crawler to inject specific Brazilian CEP (postal) codes. This ensures the extracted prices, shipping costs, and delivery estimates reflect the reality for that specific region.
Yes. We extract the full Buy Box details, including the 3P seller's name, their specific price, shipping cost, and whether the item is fulfilled by Centauro or the seller.
For high-priority sneaker drops or volatile categories, we can configure hourly runs. For broad catalogue monitoring, daily or weekly runs are standard.
We use a combination of Brazilian residential proxies, human-like request delays, and full browser fingerprint management via Playwright to ensure consistent access.
We support both. We recommend our change-detection mode, which hashes previous results and only delivers records where the price, stock, or metadata has changed since the last run.
We begin tracking historical data from the moment your pipeline is commissioned. We do not maintain a retroactive database of Centauro prices prior to your engagement.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop wrestling with proxies and dynamic DOMs. Tell us the categories and brands you need, and we will deliver clean, structured data directly to your warehouse.
