We extract footwear listings, apparel variants, pricing signals, and brand catalogues from Dafiti. 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 Product Listings objects from dafiti.com. All fields typed and schema-versioned.
"sku": "NI035SH64YXV", "title": "Tênis Nike Revolution 6 Next Nature Masculino", "brand": "Nike", "category": "Calcados", "price": 299.99, "list_price": 399.99, "discount_pct": 25, "available_sizes": "['38', '39', '40', '41', '42', '43']"
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Variant & Sizing objects from dafiti.com. All fields typed and schema-versioned.
"variant_sku": "NI035SH64YXV-42", "parent_sku": "NI035SH64YXV", "size_br": "42", "colour": "Preto/Branco", "stock_status": "in_stock", "price": 299.99, "ean": "195243210987"
| # | variant_sku | parent_sku | size_br | colour | stock_status | stock_quantity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Promos objects from dafiti.com. All fields typed and schema-versioned.
"sku": "NI035SH64YXV", "current_price": 299.99, "original_price": 399.99, "discount_pct": 25, "promo_tag": "Black Friday Antecipada", "flash_sale_active": false, "currency": "BRL", "timestamp": "2026-05-12T10:15:00Z"
| # | sku | current_price | original_price | discount_pct | promo_tag | flash_sale_active |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Brand Catalogues objects from dafiti.com. All fields typed and schema-versioned.
"brand_name": "Nike", "total_products": 3412, "categories_present": "['Calcados', 'Roupas', 'Acessorios']", "max_discount": 50, "top_sellers": "['NI035SH64YXV', 'NI035SH99ABC']", "scraped_at": "2026-05-12T10:20:00Z"
| # | brand_name | brand_id | total_products | categories_present | avg_price | max_discount |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from dafiti.com. All fields typed and schema-versioned.
"review_id": "REV-992817", "sku": "NI035SH64YXV", "rating": 5, "title": "Excelente custo beneficio", "body": "Tenis muito confortavel para corridas leves.", "date": "2026-04-10", "verified_purchase": true, "fit_feedback": "Tamanho exato"
| # | review_id | sku | rating | title | body | date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Dafiti scraper handles the complexities of fashion e-commerce: multi-dimensional variant grids, dynamic pricing, regional storefronts, and brand catalogue pagination.
Title, brand, material composition, care instructions, and high-resolution image URLs scraped at the parent SKU level.
Map every size and colour combination to its specific variant SKU, capturing stock availability and variant-specific pricing.
Capture base price, promotional price, discount percentages, and campaign tags across the entire catalogue.
Extract entire brand assortments to monitor share of shelf, category penetration, and discount strategies.
Extract customer reviews, star ratings, and specific fit feedback (e.g. runs small, runs large) to inform product development.
Support for Dafiti Brazil, Chile, Colombia, and Argentina storefronts with localised currency and sizing formats.
High-frequency polling for limited-time offers and flash sale events across top-tier brands.
Preserve the exact category and sub-category hierarchy for accurate taxonomy reconstruction in your database.
Receive only updated records for price changes, new product launches, and stock-outs to minimise processing overhead.
Brief in. Clean data out.
Provide target brands, categories, or specific SKUs. We design the extraction schema tailored to your fashion data needs.
We configure Scrapy / Playwright crawlers with LATAM residential proxies to bypass regional blocks and render dynamic sizing grids.
Schema validation, null-rate checks on critical fields like price and size, and outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on your specified cadence.
Fashion scraping requires handling complex parent-child relationships and regional bot protection. We manage the infrastructure so you get clean data.
Dafiti employs regional blocking and rate limiting. Our crawlers use residential ISP proxies specific to Brazil, Chile, Colombia, and Argentina to ensure high success rates and accurate localised pricing.
Fashion SKUs often load size availability and variant pricing via asynchronous JavaScript requests. We use Playwright to fully render the DOM and interact with size selectors, capturing data that static HTML parsers miss.
Dafiti frequently updates its front-end framework. We utilise multi-layered fallback selectors targeting structured JSON-LD data and stable data attributes to ensure your pipeline remains operational during site updates.
Monitoring a catalogue of hundreds of thousands of SKUs requires efficiency. We hash product states and only deliver records where price, stock status, or available sizes have changed since the last run.
Our observability stack monitors for sudden drops in SKU counts or missing pricing fields, automatically alerting our engineering team to investigate and patch selectors before your delivery window.
Fashion retailers monitor competitor pricing, discount depths, and promotional calendars to optimise their own pricing strategies.
Apparel brands track their products across Dafiti to ensure Minimum Advertised Price compliance and identify unauthorised marketplace sellers.
Merchandising teams analyse category composition, top-selling colours, and stock depth to forecast upcoming fashion trends.
Brands benchmark their share of shelf, review sentiment, and size availability against key competitors within the LATAM market.
Machine learning teams use structured product descriptions, categorisation data, and high-resolution imagery to train fashion recommendation engines.
International brands analyse Dafiti's regional pricing and category demand to plan market entry strategies for South America.
"Dafiti is the premier fashion destination in Latin America, holding the most comprehensive dataset on regional apparel pricing, sizing availability, and brand assortment."
Extracting fashion data at scale requires mapping complex parent-child variant structures, handling dynamic sizing grids, and maintaining persistent sessions across regional storefronts. DataFlirt manages the proxy rotation, JavaScript execution, and schema maintenance so your data engineering team receives structured, analysis-ready feeds.
Everything supported by our dafiti.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 residential ISP proxies across LATAM regions. 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 dafiti.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Dafiti is generally permissible under applicable laws. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls. Clients should review Dafiti's ToS and consult legal counsel for specific use cases.
We use regional residential ISP proxies tailored to the specific Dafiti storefront (e.g., Brazil IPs for dafiti.com.br), full Playwright browser sessions with realistic fingerprints, and automated CAPTCHA solvers to bypass security challenges without manual intervention.
We support Dafiti Brazil (dafiti.com.br), Dafiti Chile (dafiti.cl), Dafiti Colombia (dafiti.com.co), and Dafiti Argentina (dafiti.com.ar), adapting our schema to handle local currency and sizing conventions.
Yes. Our pipeline maps the parent product to every available child variant, capturing specific size availability, colour options, and variant-level pricing.
We can configure pipelines to run at hourly, daily, or weekly cadences. Delta pipelines ensure that you receive updated pricing and stock status within minutes of the crawl completing.
Our minimum engagement typically starts at a defined list of brands or categories (e.g., 10,000 SKUs) with weekly delivery. We provide custom quotes based on total extraction volume and frequency.
Yes. We capture the stock status for every variant. If a specific size or colour goes out of stock, the delta export will reflect that change, allowing you to monitor competitor inventory depth.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across 500K SKUs, we scope, build, and operate the pipeline. Tell us what you need.
