# Dafiti Brazil Fashion Scraper (`automation-lab/dafiti-brazil-fashion-scraper`) Actor Scrape Dafiti Brazil products, prices, brands, discounts, images, categories, and SKU data from search, category, and product pages. - **URL**: https://apify.com/automation-lab/dafiti-brazil-fashion-scraper.md - **Developed by:** [Stas Persiianenko](https://apify.com/automation-lab) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Dafiti Brazil Fashion Scraper Extract product intelligence from Dafiti Brazil category, search, brand, and product pages. The actor is designed for ecommerce teams that need repeatable product URLs, SKUs, names, brands, prices, discounts, images, categories, and stock signals from `dafiti.com.br`. ### What does Dafiti Brazil Fashion Scraper do? Dafiti Brazil Fashion Scraper crawls Dafiti listing pages and saves one dataset row per product. It uses HTTP requests and HTML parsing instead of a browser, which keeps runs fast and cost-effective for routine price monitoring. ### Who is it for? - 🛒 Ecommerce analysts tracking Dafiti assortment changes - 👟 Fashion brands monitoring visibility and discounting - 📊 Price intelligence teams comparing current and original prices - 🧾 Marketplace operators collecting product catalog references - 🤖 Automation teams feeding BI dashboards or alerts ### Why use this scraper? Dafiti is one of Brazil's large fashion ecommerce sites. Manual checks are slow, and generic ecommerce tools often miss local fields such as Brazilian currency text, Dafiti SKU IDs, Pix/installment labels, and category breadcrumbs. This actor returns a clean dataset ready for export or API consumption. ### Key features - Category, brand, search, and product URL support - Optional keyword search through Dafiti search pages - Pagination controls with a maximum page limit - Product price extraction with numeric values and original text - SKU and product ID extraction - Brand, category, color, image, discount, seller, and installment fields - Optional product detail enrichment for sizes and availability signals - Apify proxy support when needed ### Data you can extract | Field | Description | |---|---| | `url` | Canonical Dafiti product URL | | `productId` | Numeric product ID parsed from the product URL | | `sku` | Dafiti SKU from listing HTML | | `name` | Product title | | `brand` | Product brand | | `category` | Category path when visible | | `currentPrice` | Numeric current price in BRL | | `originalPrice` | Numeric original/list price in BRL | | `discount` | Discount label such as `-28%` | | `color` | Visible color label | | `availableSizes` | Sizes discovered on detail pages when enabled | | `imageUrls` | Product image URLs | | `availability` | Listing/detail availability signal | | `sourceUrl` | Category/search/product URL where the item was found | ### How much does it cost to scrape Dafiti Brazil products? The actor uses pay-per-event pricing: a small run-start charge plus a per-product result charge. Small tests are cheap because the default prefill collects only a limited number of products. For large monitoring jobs, increase `maxItems` and `maxPages` gradually after confirming the output matches your workflow. ### Input options #### `startUrls` Add Dafiti category, brand, search, or product URLs. Examples: ```json [{ "url": "https://www.dafiti.com.br/calcados-masculinos/" }] ```` #### `searchQuery` Enter a keyword such as `nike`, `vestido feminino`, or `tenis masculino`. The actor will build a Dafiti search URL. #### `maxItems` Maximum number of product records to save across all inputs. #### `maxPages` Maximum listing pages to visit per category, brand, or search URL. #### `includeProductDetails` Enable this when you need sizes or detail-page availability. Leave it disabled for faster price monitoring from listing pages. #### `proxyConfiguration` Dafiti is usually readable without proxy for small tests. If you encounter blocking, enable Apify Proxy and choose a Brazil-friendly configuration. ### Example input ```json { "startUrls": [ { "url": "https://www.dafiti.com.br/calcados-masculinos/" } ], "searchQuery": "nike", "maxItems": 20, "maxPages": 2, "includeProductDetails": false, "proxyConfiguration": { "useApifyProxy": false } } ``` ### Example output ```json { "url": "https://www.dafiti.com.br/Tenis-Masculino-Vans-Range-Exp-Preto-15135916.html", "productId": "15135916", "sku": "VA134SCM83EKQ", "name": "Tênis Masculino Vans Range Exp Preto", "brand": "Vans", "category": "Calçados,Calçados Masculinos,Tênis,Tênis Casual", "currentPrice": 429.99, "originalPrice": 599.99, "discount": "-28%", "color": "Preto", "availability": "listed", "sourceUrl": "https://www.dafiti.com.br/calcados-masculinos/", "pageNumber": 1 } ``` ### How to scrape a Dafiti category 1. Open the actor on Apify. 2. Paste a Dafiti category URL into `startUrls`. 3. Set `maxItems` to a small number for the first test. 4. Run the actor. 5. Export the dataset as JSON, CSV, Excel, XML, or HTML. ### How to scrape Dafiti search results 1. Leave `startUrls` empty or keep the default URL. 2. Enter a `searchQuery` such as `nike`. 3. Set `maxPages` to control pagination. 4. Run and review the dataset. ### How to monitor price changes Schedule the actor daily or weekly with the same input. Store exports in your warehouse, compare `currentPrice`, `originalPrice`, and `discount`, then alert when a brand or SKU changes price. ### Tips for best results - Start with `maxItems: 20` and `maxPages: 2`. - Keep `includeProductDetails` off unless you need sizes. - Use category URLs for broad assortment monitoring. - Use product URLs for focused SKU checks. - Enable proxy only if requests start failing. ### Integrations Use this scraper with: - Google Sheets exports for manual category reviews - BigQuery/Snowflake pipelines for price history - Slack alerts for discount changes - CRM enrichment workflows for brand intelligence - Apify webhooks for scheduled monitoring ### API usage #### Node.js ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const run = await client.actor('automation-lab/dafiti-brazil-fashion-scraper').call({ startUrls: [{ url: 'https://www.dafiti.com.br/calcados-masculinos/' }], maxItems: 20, maxPages: 2 }); console.log(run.defaultDatasetId); ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient('MY-APIFY-TOKEN') run = client.actor('automation-lab/dafiti-brazil-fashion-scraper').call(run_input={ 'startUrls': [{'url': 'https://www.dafiti.com.br/calcados-masculinos/'}], 'maxItems': 20, 'maxPages': 2, }) print(run['defaultDatasetId']) ``` #### cURL ```bash curl -X POST 'https://api.apify.com/v2/acts/automation-lab~dafiti-brazil-fashion-scraper/runs?token=MY-APIFY-TOKEN' \ -H 'Content-Type: application/json' \ -d '{"startUrls":[{"url":"https://www.dafiti.com.br/calcados-masculinos/"}],"maxItems":20,"maxPages":2}' ``` ### MCP integration Use the Apify MCP server with Claude Code or Claude Desktop: ```text https://mcp.apify.com/?tools=automation-lab/dafiti-brazil-fashion-scraper ``` Add it in Claude Code with: ```bash claude mcp add apify-dafiti-brazil "https://mcp.apify.com/?tools=automation-lab/dafiti-brazil-fashion-scraper" ``` Claude Desktop JSON configuration: ```json { "mcpServers": { "apify-dafiti-brazil": { "url": "https://mcp.apify.com/?tools=automation-lab/dafiti-brazil-fashion-scraper" } } } ``` Example prompts: - "Scrape the first 20 products from this Dafiti category and summarize the biggest discounts." - "Compare Nike products from Dafiti today with yesterday's dataset." - "Find products with original price above 500 BRL and current discount above 20%." ### Scheduling Create an Apify schedule to run this actor every morning. Use the same category URLs and export the dataset to your storage or webhook receiver. ### Proxy guidance The default configuration does not use proxy. If Dafiti returns blocks or empty pages for your environment, enable Apify Proxy. Try datacenter/shared proxies before residential proxies to keep costs low. ### Limitations - Dafiti can change HTML structure without notice. - Review counts may not be visible on every listing card. - Detail-page enrichment is slower because it makes one extra request per product. - Availability signals are best-effort from public page content. ### Troubleshooting #### Why did I get fewer products than requested? The category may have fewer products, duplicate products may be skipped, or Dafiti may have returned an empty page. Increase `maxPages` or try a broader category URL. #### Why are sizes missing? Enable `includeProductDetails`. Listing pages usually do not show all available sizes. #### Why are prices returned as both text and numbers? The numeric fields are easier for spreadsheets and BI tools. The text fields preserve the original Brazilian currency formatting shown by Dafiti. ### Legality This actor extracts publicly available product information from Dafiti pages. You are responsible for using the data lawfully, respecting Dafiti's terms, and avoiding collection of personal data. ### Related scrapers - https://apify.com/automation-lab/ecommerce-scraping-tool - https://apify.com/automation-lab/shopify-products-scraper - https://apify.com/automation-lab/amazon-product-scraper ### Changelog Initial version: category/search/product support, price extraction, image URLs, SKU/product IDs, and optional detail enrichment. ### Support If a Dafiti layout change breaks extraction, open an Apify issue with your input and run URL so the actor can be updated quickly. ### Field notes The actor stores `sourceUrl` and `pageNumber` so analysts can trace each product back to the exact listing page where it was discovered. ### Performance notes HTTP-only scraping is fast. Detail enrichment trades speed for richer fields; use it only when necessary. ### Data freshness All rows include `scrapedAt` in ISO format. Use this timestamp for history tables and monitoring windows. ### Quality checklist - Product URLs are absolute URLs. - Prices are parsed to BRL numeric values. - Images are absolute Dafiti CDN URLs. - Duplicate product URLs are skipped. - Dataset rows include traceability fields. ### FAQ #### Can I scrape multiple categories at once? Yes. Add multiple Dafiti URLs to `startUrls`. The actor will process them until `maxItems` is reached. #### Can I scrape only one product? Yes. Paste the product URL into `startUrls` and set `maxItems` to 1. #### Does it require login? No. The actor is built for public Dafiti pages only. #### Can I export to Excel? Yes. Apify datasets support Excel, CSV, JSON, XML, HTML, and API exports. # Actor input Schema ## `startUrls` (type: `array`): Dafiti category, brand, search, or product URLs to scrape. Category/search pages will be paginated. ## `searchQuery` (type: `string`): Optional keyword to search on Dafiti, for example nike or vestido feminino. ## `maxItems` (type: `integer`): Maximum number of product records to save across all inputs. ## `maxPages` (type: `integer`): Pagination cap for each category, brand, or search page. ## `includeProductDetails` (type: `boolean`): Open each product page to enrich sizes, availability, and breadcrumbs. Disable for faster price monitoring from listing pages only. ## `maxRequestRetries` (type: `integer`): Retry attempts for transient Dafiti request failures. ## `proxyConfiguration` (type: `object`): Optional Apify proxy settings. Datacenter/shared proxy is usually enough; use Brazil/residential only if Dafiti blocks requests. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.dafiti.com.br/calcados-masculinos/" } ], "searchQuery": "nike", "maxItems": 20, "maxPages": 2, "includeProductDetails": false, "maxRequestRetries": 3, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://www.dafiti.com.br/calcados-masculinos/" } ], "searchQuery": "nike", "maxItems": 20, "maxPages": 2, "includeProductDetails": false, "maxRequestRetries": 3, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("automation-lab/dafiti-brazil-fashion-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [{ "url": "https://www.dafiti.com.br/calcados-masculinos/" }], "searchQuery": "nike", "maxItems": 20, "maxPages": 2, "includeProductDetails": False, "maxRequestRetries": 3, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("automation-lab/dafiti-brazil-fashion-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.dafiti.com.br/calcados-masculinos/" } ], "searchQuery": "nike", "maxItems": 20, "maxPages": 2, "includeProductDetails": false, "maxRequestRetries": 3, "proxyConfiguration": { "useApifyProxy": false } }' | apify call automation-lab/dafiti-brazil-fashion-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=automation-lab/dafiti-brazil-fashion-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dafiti Brazil Fashion Scraper", "description": "Scrape Dafiti Brazil products, prices, brands, discounts, images, categories, and SKU data from search, category, and product pages.", "version": "0.1", "x-build-id": "tpbwDDFBSydE9GXrq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~dafiti-brazil-fashion-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-dafiti-brazil-fashion-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automation-lab~dafiti-brazil-fashion-scraper/runs": { "post": { "operationId": "runs-sync-automation-lab-dafiti-brazil-fashion-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automation-lab~dafiti-brazil-fashion-scraper/run-sync": { "post": { "operationId": "run-sync-automation-lab-dafiti-brazil-fashion-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "startUrls": { "title": "Dafiti URLs", "type": "array", "description": "Dafiti category, brand, search, or product URLs to scrape. Category/search pages will be paginated.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searchQuery": { "title": "Search keyword", "type": "string", "description": "Optional keyword to search on Dafiti, for example nike or vestido feminino." }, "maxItems": { "title": "Maximum products", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of product records to save across all inputs.", "default": 50 }, "maxPages": { "title": "Maximum pages per listing URL", "minimum": 1, "maximum": 500, "type": "integer", "description": "Pagination cap for each category, brand, or search page.", "default": 5 }, "includeProductDetails": { "title": "Visit product detail pages", "type": "boolean", "description": "Open each product page to enrich sizes, availability, and breadcrumbs. Disable for faster price monitoring from listing pages only.", "default": false }, "maxRequestRetries": { "title": "Max request retries", "minimum": 1, "maximum": 10, "type": "integer", "description": "Retry attempts for transient Dafiti request failures.", "default": 3 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify proxy settings. Datacenter/shared proxy is usually enough; use Brazil/residential only if Dafiti blocks requests." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```