# eMAG Listings Scraper (`piotrv1001/emag-listings-scraper`) Actor The eMAG Listings Scraper extracts product listings and detailed profiles from eMAG.ro and eMAG.bg, capturing titles, prices, ratings, images, categories, badges, Genius flags, and marketplace seller details — ideal for price tracking, competitor monitoring, and resale market research. - **URL**: https://apify.com/piotrv1001/emag-listings-scraper.md - **Developed by:** [FalconScrape](https://apify.com/piotrv1001) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 66.7% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 product listings 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 ### 🛒 eMAG Listings Scraper Extract product listings from **eMAG.ro** and **eMAG.bg** — the largest online retailer in Romania and one of the biggest in South-East Europe. The **eMAG Listings Scraper** returns clean, structured product data (price, rating, image, category, badges, marketplace seller) for price tracking, competitor monitoring, market research, and resale analysis. ### ✨ Features - 🏷️ **Comprehensive Product Data**: title, PNK, price, currency, old price, discount, rating, review count, Genius (eMAG Prime) flag, badges, category breadcrumbs, thumbnail, and PDP link. - 🔎 **Four Input Modes**: search by keyword, scrape a category page, walk the official sitemap (~1M products), or pass a custom list of listing/PDP URLs. - 🧩 **Optional PDP Enrichment**: opt in to fetch each product detail page for brand, MPN, full description, specs table, image gallery, and marketplace seller name. - 🇷🇴 🇧🇬 **Multi-Country**: works with both `emag.ro` and `emag.bg`. - 🎛️ **Built-in Filters**: brand, price range, Genius-only, exclude sponsored cards. - ⚡ **Fast & Lightweight**: pure HTTP + Cheerio — no headless browser, no proxy required. ~3000 items/minute at 5 concurrent requests. ### 🛠️ How It Works 1. **Pick a mode** – `search`, `category`, `sitemap`, or `urls`. 2. **Set the inputs** – e.g. `searchQuery: "iphone"`, `country: "ro"`, `maxItems: 50`. 3. **Run the Actor** – it paginates eMAG listing pages, dedupes by product ID, and writes structured items to the dataset. 4. **(Optional)** flip `includeDetails: true` to also fetch each PDP and enrich items with brand, specs, and marketplace seller info. ### 📥 Input | Field | Type | Description | |---|---|---| | `mode` | enum | `search` \| `category` \| `sitemap` \| `urls`. Default: `search`. | | `country` | enum | `ro` (emag.ro) or `bg` (emag.bg). Default: `ro`. | | `searchQuery` | string | Keyword to search for. Used when `mode = search`. Prefilled with `"iphone"`. | | `categoryUrl` | string | Full eMAG category URL ending in `/c` or `/sd`. Used when `mode = category`. | | `startUrls` | array | List of listing or PDP URLs. Used when `mode = urls`. PDPs detected automatically. | | `maxItems` | integer | Stop after this many items. `0` = unlimited. Default: `50`. | | `includeDetails` | boolean | Fetch each PDP for brand, specs, marketplace seller, image gallery. Default: `false`. | | `includeSponsored` | boolean | Keep cards with the `Promovat` badge. Default: `true`. | | `brand` | string | Filter — brand slug (e.g. `apple`, `samsung`). | | `priceFrom` | integer | Filter — minimum price (RON / BGN). | | `priceTo` | integer | Filter — maximum price (RON / BGN). | | `geniusOnly` | boolean | Filter — keep only items with the Genius badge. Default: `false`. | | `proxyConfiguration` | object | Apify Proxy settings. eMAG works from datacenter IPs; proxy is optional but recommended for production. | ### 📊 Sample Output Data The scraper produces structured JSON. You can download the dataset in **JSON, CSV, Excel, HTML, XML, or RSS** from the Apify Console. ```json [ { "pnk": "DN99FV3BM", "productId": "102971593", "offerId": "273691815", "url": "https://www.emag.ro/telefon-mobil-apple-iphone-17-pro-256gb-5g-silver-mg8g4zd-a/pd/DN99FV3BM/", "title": "Telefon mobil Apple iPhone 17 Pro, 256GB, 5G, Silver", "price": 6499.99, "currency": "RON", "oldPrice": null, "discount": null, "categoryId": "93", "categoryName": "Telefoane Mobile", "categoryTrail": [ "Laptop, Tablete & Telefoane", "Telefoane mobile & accesorii", "Telefoane Mobile" ], "superCategoryId": 329, "superCategoryName": "Mobile Phones", "image": "https://s13emagst.akamaized.net/products/102972/102971593/images/res_4e2cc632.jpg", "rating": 4.72, "reviewCount": 244, "genius": true, "badges": ["Top Favorite"], "sponsored": false, "hasFamily": true, "availabilityId": "3", "position": 1, "scrapedFrom": "https://www.emag.ro/search/iphone", "scrapedAt": "2026-05-17T14:30:00.000Z" } ] ```` With `includeDetails: true`, each item also includes: ```json { "mpn": "MG8G4ZD/A", "brand": "Apple", "description": "Carcasa monobloc ...", "images": ["https://.../a.jpg", "https://.../b.jpg"], "specs": { "Diagonala (inch)": "6.3", "Memorie interna": "256 GB" }, "vendor": { "id": 1, "name": "eMAG", "rating": null }, "familyId": 6219301, "isFamily": false, "availability": "InStock" } ``` ### 💰 Pricing — Pay Per Event This Actor uses Apify's **Pay Per Event** pricing — you only pay for what you actually extract. There are two events: | Event | Triggered | Price (USD) | |---|---|---| | `product-listing` | Every product extracted from a search / category / sitemap listing (shallow data: title, price, image, rating, category, badges, Genius). Always charged. | **$0.001** per item | | `item-detail` | Charged *in addition* to `product-listing` when `includeDetails: true` — covers fetching the PDP for brand, MPN, full description, specs, image gallery, and marketplace seller. | **$0.005** per item | **Cost examples** | Run | Items | `includeDetails` | Approx. cost | |---|---|---|---| | 1,000 listings only | 1,000 | `false` | $1.00 | | 1,000 listings + details | 1,000 | `true` | $1.00 + $5.00 = **$6.00** | | Full-catalog sitemap walk, 100k items | 100,000 | `false` | $100.00 | Run with `includeDetails: false` for cheap price/availability tracking. Flip it on only when you need brand, specs, or marketplace seller data. Optimize your eMAG data extraction with **eMAG Listings Scraper** today! 🚀 # Actor input Schema ## `mode` (type: `string`): How to discover product listings. 'search' uses searchQuery + filters. 'category' uses categoryUrl. 'sitemap' walks eMAG's offers-available sitemap (~1M products). 'urls' uses startUrls verbatim (listing or PDP URLs). ## `country` (type: `string`): eMAG country domain. 'ro' = emag.ro, 'bg' = emag.bg. eMAG.hu is not supported in this version (WAF challenge). ## `searchQuery` (type: `string`): Keyword(s) to search for. Used when mode = 'search'. ## `categoryUrl` (type: `string`): Full eMAG category URL ending with /c or /sd. Used when mode = 'category'. Example: https://www.emag.ro/telefoane-mobile/c ## `startUrls` (type: `array`): Listing or PDP URLs to scrape. Used when mode = 'urls'. PDP URLs are detected automatically. ## `maxItems` (type: `integer`): Stop after this many product items have been pushed to the dataset. 0 = unlimited. ## `includeDetails` (type: `boolean`): Fetch each product detail page to enrich with brand, MPN, full description, specs table, image gallery, marketplace seller. Doubles request count. ## `includeSponsored` (type: `boolean`): If false, cards with a 'Promovat' badge are filtered out. ## `brand` (type: `string`): Restrict search to a specific brand. Example: 'apple', 'samsung'. Only used when mode = 'search' AND a categoryUrl context is implied — currently applied as URL filter. ## `priceFrom` (type: `integer`): Minimum price (in local currency, RON/BGN). Used with mode = 'search'. ## `priceTo` (type: `integer`): Maximum price (in local currency, RON/BGN). Used with mode = 'search'. ## `geniusOnly` (type: `boolean`): Keep only items with the Genius badge. ## `proxyConfiguration` (type: `object`): Proxy settings. eMAG works fine without proxy from datacenter IPs, but Apify Proxy is recommended for production. ## Actor input object example ```json { "mode": "search", "country": "ro", "searchQuery": "iphone", "categoryUrl": "https://www.emag.ro/telefoane-mobile/c", "startUrls": [], "maxItems": 50, "includeDetails": false, "includeSponsored": true, "geniusOnly": false, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (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 = { "searchQuery": "iphone" }; // Run the Actor and wait for it to finish const run = await client.actor("piotrv1001/emag-listings-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 = { "searchQuery": "iphone" } # Run the Actor and wait for it to finish run = client.actor("piotrv1001/emag-listings-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 '{ "searchQuery": "iphone" }' | apify call piotrv1001/emag-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=piotrv1001/emag-listings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "eMAG Listings Scraper", "description": "The eMAG Listings Scraper extracts product listings and detailed profiles from eMAG.ro and eMAG.bg, capturing titles, prices, ratings, images, categories, badges, Genius flags, and marketplace seller details — ideal for price tracking, competitor monitoring, and resale market research.", "version": "0.0", "x-build-id": "0cn773k9F8oRlkSiP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/piotrv1001~emag-listings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-piotrv1001-emag-listings-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/piotrv1001~emag-listings-scraper/runs": { "post": { "operationId": "runs-sync-piotrv1001-emag-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/piotrv1001~emag-listings-scraper/run-sync": { "post": { "operationId": "run-sync-piotrv1001-emag-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Mode", "enum": [ "search", "category", "sitemap", "urls" ], "type": "string", "description": "How to discover product listings. 'search' uses searchQuery + filters. 'category' uses categoryUrl. 'sitemap' walks eMAG's offers-available sitemap (~1M products). 'urls' uses startUrls verbatim (listing or PDP URLs).", "default": "search" }, "country": { "title": "Country / domain", "enum": [ "ro", "bg" ], "type": "string", "description": "eMAG country domain. 'ro' = emag.ro, 'bg' = emag.bg. eMAG.hu is not supported in this version (WAF challenge).", "default": "ro" }, "searchQuery": { "title": "Search query", "type": "string", "description": "Keyword(s) to search for. Used when mode = 'search'." }, "categoryUrl": { "title": "Category URL", "type": "string", "description": "Full eMAG category URL ending with /c or /sd. Used when mode = 'category'. Example: https://www.emag.ro/telefoane-mobile/c" }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Listing or PDP URLs to scrape. Used when mode = 'urls'. PDP URLs are detected automatically.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Stop after this many product items have been pushed to the dataset. 0 = unlimited.", "default": 50 }, "includeDetails": { "title": "Include product details (visit PDP)", "type": "boolean", "description": "Fetch each product detail page to enrich with brand, MPN, full description, specs table, image gallery, marketplace seller. Doubles request count.", "default": false }, "includeSponsored": { "title": "Include sponsored cards", "type": "boolean", "description": "If false, cards with a 'Promovat' badge are filtered out.", "default": true }, "brand": { "title": "Filter — brand slug", "type": "string", "description": "Restrict search to a specific brand. Example: 'apple', 'samsung'. Only used when mode = 'search' AND a categoryUrl context is implied — currently applied as URL filter." }, "priceFrom": { "title": "Filter — minimum price", "minimum": 0, "type": "integer", "description": "Minimum price (in local currency, RON/BGN). Used with mode = 'search'." }, "priceTo": { "title": "Filter — maximum price", "minimum": 0, "type": "integer", "description": "Maximum price (in local currency, RON/BGN). Used with mode = 'search'." }, "geniusOnly": { "title": "Filter — Genius (eMAG Prime) only", "type": "boolean", "description": "Keep only items with the Genius badge.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. eMAG works fine without proxy from datacenter IPs, but Apify Proxy is recommended for production.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```