# MercadoLibre Reviews Scraper 🛍️ (`easyapi/mercadolibre-reviews-scraper`) Actor 🛍️ Extract detailed product reviews from MercadoLibre with comprehensive data including ratings, comments, review dates, and user interactions. Perfect for market research, sentiment analysis, and customer feedback monitoring across Latin America's largest e-commerce platform. - **URL**: https://apify.com/easyapi/mercadolibre-reviews-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** E-commerce, Integrations, Other - **Stats:** 79 total users, 1 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: 2.00 out of 5 stars ## Pricing from $2.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## MercadoLibre Reviews Scraper 🛍️ Extract comprehensive review data from MercadoLibre product pages with this powerful scraper. Get detailed insights into customer feedback, ratings, and engagement metrics to enhance your market research and product analysis. ### Features ✨ - Extract detailed review content including ratings, titles, and full comments - Collect review metadata such as posting dates and user interactions - Support for multiple product URLs in a single run - Automatic pagination handling and infinite scroll support - Built-in stealth and anti-detection mechanisms - Structured JSON output for easy data analysis ### Use Cases 🎯 - Market Research & Analysis - Customer Sentiment Analysis - Product Performance Monitoring - Competitive Intelligence - Customer Feedback Collection - E-commerce Analytics ### Output Data Structure 📊 The actor provides comprehensive review data including: - Review ID and type - Rating score (1-5 stars) - Review title and full comment - Publication date - Helpful votes count - User interaction metrics - Review reporting options #### Input Example A full explanation of an input example in JSON. ```json { "productUrls": [ "https://www.mercadolibre.com.ar/drinkpops-coffee-vaso-blanco-510-ml/p/MLA26800601#polycard_client=search-nordic&searchVariation=MLA26800601&wid=MLA1427988225&position=24&search_layout=stack&type=product&tracking_id=76c139d1-d081-4378-bba9-4145f2f056ae&sid=search" ], "maxItems": 30 } ``` #### Output sample The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ```json [ { "id": 1218026027, "type": "REVIEW", "variant": "", "rating": 4, "title": { "text": "muy bueno", "class_name": "ui-review-view__comments__review-comment__title" }, "comment": { "content": { "text": "Muy bueno relación precio calidad.\nNo es igual a los de marcas más caras pero esta muy bien terminado. Único error q puedo marcar pero a no es un impedimento es q la tapa en los modelos q marcan temperatura se abre hasta la mitad lo q puede molestar en tu nariz, los q no tienen ese medidor si se abren completos.", "class_name": "ui-review-view__comments__review-comment", "see_more": "Leer más", "see_less": "Leer menos" }, "time": { "text": "28 may. 2024", "class_name": "ui-review-view__comments__review-comment__date" }, "date": "28 may. 2024", "country": "", "menu_options": { "track": { "event_data": { "catalog_product_id": "MLA26590797", "review_id": 1218026027 }, "path": "/reviews/points/clic" }, "items": [ { "text": "Denunciar", "url": "/noindex/denounce/?item_id=MLA1778961812&element_id=1218026027&element_type=REV", "track": { "event_data": { "catalog_product_id": "MLA26590797", "review_id": 1218026027, "type": "denounce" }, "path": "/reviews/actions" }, "icon_id": "REPORT", "class_name": "ui-review-view__comments__review-comment" } ] }, "denounce": { "text": "Denunciar", "url": "/noindex/denounce/?item_id=MLA1778961812&element_id=1218026027&element_type=REV", "track": { "event_data": { "catalog_product_id": "MLA26590797", "review_id": 1218026027, "type": "denounce" }, "path": "/reviews/actions" }, "icon_id": "REPORT", "class_name": "ui-review-view__comments__review-comment" } }, "actions": [ { "id": "LIKE", "type": "LIKE", "text": "Es útil", "value": 2, "track": { "event_data": { "catalog_product_id": "MLA26590797", "review_id": 1218026027, "type": "like" }, "path": "/reviews/actions" }, "icon": { "empty_icon": "ThumbUpOutlined", "full_icon": "ThumbUpFillled" }, "selected": false } ], "aria_label": "Calificación 4 de 5", "accessibility_text": "Opinión 1. Calificación 4 de 5." }, ... ] ``` ### Related Actors 🤝 Here are some other useful actors for e-commerce and review analysis: - 🛍️ [Amazon Reviews Scraper](https://apify.com/easyapi/amazon-reviews-scraper) - Extract detailed product reviews from Amazon with comprehensive data - 🌟 [Etsy Reviews Scraper](https://apify.com/easyapi/etsy-reviews-scraper) - Scrape Etsy product reviews effortlessly - 📱 [AppStore Reviews Scraper](https://apify.com/easyapi/app-store-reviews-scraper) - App Store Reviews Scraper for collecting user feedback - 🛒 [Flipkart Review Scraper](https://apify.com/easyapi/flipkart-review-scraper) - Scrape detailed product reviews from Flipkart - 🏨 [Hotels.com Review Scraper](https://apify.com/easyapi/hotels-com-review-scraper) - Extract detailed hotel reviews from Hotels.com - 🛍️ [Myntra Reviews Scraper](https://apify.com/easyapi/myntra-reviews-scraper) - Scrape product reviews from Myntra.com - 🍽️ [Grubhub Restaurant Reviews Scraper](https://apify.com/easyapi/grubhub-restaurant-reviews-scraper) - Extract restaurant reviews from Grubhub - 🏨 [Hostelworld Reviews Scraper](https://apify.com/easyapi/hostelworld-reviews-scraper) - Extract detailed hostel reviews from Hostelworld.com - 📚 [Goodreads Review Scraper](https://apify.com/easyapi/goodreads-review-scraper) - Extract detailed book reviews from Goodreads - 🎓 [Udemy Course Reviews Scraper](https://apify.com/easyapi/udemy-course-reviews-scraper) - Scrape Udemy course reviews effortlessly - 🛍️ [Lidl Reviews Scraper](https://apify.com/easyapi/lidl-reviews-scraper) - Extract product reviews from Lidl's online store - 🎬 [IMDB Reviews Scraper](https://apify.com/easyapi/imdb-reviews-scraper) - Extract detailed user reviews from IMDB - 🍽️ [Zomato Restaurant Reviews Scraper](https://apify.com/easyapi/zomato-restaurant-reviews-scraper) - Scrape restaurant reviews from Zomato - 💅 [Treatwell Reviews Scraper](https://apify.com/easyapi/treatwell-reviews-scraper) - Extract salon & spa reviews from Treatwell - 🏠 [TripAdvisor Reviews Scraper](https://apify.com/easyapi/tripadvisor-reviews-scraper) - Extract detailed TripAdvisor hotel reviews # Actor input Schema ## `productUrls` (type: `array`): List of MercadoLibre product URLs to scrape reviews from ## `maxItems` (type: `integer`): Maximum number of reviews to scrape (0 for unlimited) ## Actor input object example ```json { "productUrls": [ "https://www.mercadolibre.com.ar/drinkpops-coffee-vaso-blanco-510-ml/p/MLA26800601" ], "maxItems": 30 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/mercadolibre-reviews-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 = {} # Run the Actor and wait for it to finish run = client.actor("easyapi/mercadolibre-reviews-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call easyapi/mercadolibre-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/mercadolibre-reviews-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/rG2TlrwzJUN0Qp3zi/builds/7f5SrQ35b70ahJBO4/openapi.json