# MercadoLibre Scraper 2026 (`devcake/mercadolibre-scraper`) Actor Extract product data from MercadoLibre search results across Argentina, Mexico, and Brazil. Supports concurrent pages, multiple queries, and detailed product fields. - **URL**: https://apify.com/devcake/mercadolibre-scraper.md - **Developed by:** [devcake](https://apify.com/devcake) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## MercadoLibre Product Scraper Extract MercadoLibre product data — names, prices, sellers, reviews, shipping options — from search results across Argentina, Mexico, and Brazil. ### What It Does Scrapes product listings from MercadoLibre search pages. Extracts product names, prices, seller info, reviews, shipping options, and promotional badges. Supports scraping multiple pages at once and running multiple searches in one batch. ### Who It's For - **Dropshippers** — Source products and compare pricing across LATAM markets - **Price monitoring teams** — Track competitor pricing changes over time - **Market researchers** — Analyze pricing patterns, seller reputation, and product popularity - **E-commerce sellers** — Identify trending products and evaluate supplier credibility ### Data You Get | Field | Description | |-------|-------------| | `name` | Product title as displayed on the listing | | `price` | Current price in local currency | | `currency` | Currency code (ARS, MXN, BRL) | | `ml_id` | MercadoLibre product ID | | `original_price` | Original price before discount (if available) | | `installments` | Installment offer text (e.g., "$190.000 sin interés") | | `free_shipping` | Whether free shipping is available | | `next_day_delivery` | Whether next-day delivery is offered | | `seller` | Seller or store name | | `reviews_count` | Number of product reviews | | `reviews_rating` | Average rating (0 to 5) | | `category_id` | MercadoLibre category ID | | `domain_id` | Domain-specific category ID | | `thumbnail` | Product image ID | | `badge` | Promotional badge (e.g., "Promocionado") | ### Use Cases #### Price Monitoring Track competitor prices across Argentina, Mexico, and Brazil in real time. Export to CSV or connect to a price tracking dashboard. #### Dropshipping Research Find profitable products with good reviews, free shipping, and strong seller ratings. Compare margins across LATAM markets. #### Market Analysis Understand pricing patterns by category, identify popular sellers, and analyze review sentiment for product research. ### Quick Start 1. **Add your search queries** — enter product names or categories to scrape 2. **Select a country** — choose AR (Argentina), MX (Mexico), or BR (Brazil) 3. **Run the scraper** — results are saved as JSONL, one product per line 4. **Download results** — open `products.jsonl` or `output/all_products.jsonl` ### Input Parameters | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `queries` | array | Yes | Search queries to run. Example: `["nike air force", "iphone 15"]` | | `country` | select | No | Country to scrape: `AR` (Argentina), `MX` (Mexico), `BR` (Brazil). Default: `AR` | | `max_pages` | number | No | Maximum pages per query (1-50). Default: `5` | | `max_concurrent` | number | No | Pages to load at once (1-5). Default: `3` | | `delay` | number | No | Wait time between pages in seconds (0.5-10). Default: `1.0` | | `use_apify_proxy` | boolean | No | Use Apify residential proxies. Default: `true` | ### Example #### Input ```json { "queries": ["nike air force 1"], "country": "AR", "max_pages": 5, "max_concurrent": 3, "delay": 1.0, "use_apify_proxy": true } ```` #### Output ```json { "name": "Zapatillas Nike Air Force 1 Degrade Blanco Originales 9us", "price": 175000, "currency": "ARS", "ml_id": "MLA1993753210", "original_price": null, "installments": null, "free_shipping": true, "next_day_delivery": true, "seller": null, "reviews_count": null, "reviews_rating": null, "category_id": "MLA109027", "domain_id": "MLA-SNEAKERS", "thumbnail": "https://http2.mlstatic.com/D_NQ_NP_825600-MLA109781250722_042026-V.webp", "badge": null } ``` # Actor input Schema ## `queries` (type: `array`): Enter MercadoLibre search terms. Each query runs independently. Example: 'nike air force 1', 'iphone 15'. ## `country` (type: `string`): MercadoLibre country to search in ## `maxItems` (type: `integer`): Total items to collect across all pages. Each page returns ~48 items. ## Actor input object example ```json { "queries": [], "country": "AR", "maxItems": 48 } ``` # Actor output Schema ## `results` (type: `string`): Complete scraped product data # 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 = { "queries": [] }; // Run the Actor and wait for it to finish const run = await client.actor("devcake/mercadolibre-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 = { "queries": [] } # Run the Actor and wait for it to finish run = client.actor("devcake/mercadolibre-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 '{ "queries": [] }' | apify call devcake/mercadolibre-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=devcake/mercadolibre-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MercadoLibre Scraper 2026", "description": "Extract product data from MercadoLibre search results across Argentina, Mexico, and Brazil. Supports concurrent pages, multiple queries, and detailed product fields.", "version": "1.0", "x-build-id": "ZVhfxDDNpplvCyKKC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/devcake~mercadolibre-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-devcake-mercadolibre-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/devcake~mercadolibre-scraper/runs": { "post": { "operationId": "runs-sync-devcake-mercadolibre-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/devcake~mercadolibre-scraper/run-sync": { "post": { "operationId": "run-sync-devcake-mercadolibre-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "queries": { "title": "Search Queries", "type": "array", "description": "Enter MercadoLibre search terms. Each query runs independently. Example: 'nike air force 1', 'iphone 15'.", "default": [], "items": { "type": "string" } }, "country": { "title": "Country", "enum": [ "AR", "MX", "BR" ], "type": "string", "description": "MercadoLibre country to search in", "default": "AR" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 2400, "type": "integer", "description": "Total items to collect across all pages. Each page returns ~48 items.", "default": 48 } } }, "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 } } } } } } } } } } ```