# Notino Scraper - Low-costπŸ’²πŸ”₯πŸ›οΈπŸ’„ (`delectable_incubator/notino-scraper-low-cost`) Actor πŸ›οΈπŸ”Ž Extract product data from Notino with ease. Collect brands, product names, variants, prices, promo prices, ratings, reviews, images, categories, availability and product URLs. Ideal for e-commerce analytics, price monitoring, competitor tracking, catalog management and product intelligenceπŸ’„πŸ“Š - **URL**: https://apify.com/delectable\_incubator/notino-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Automation, E-commerce, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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

Notino Products Scraper

--- ## πŸ›οΈπŸ’„ Notino Products Scraper 🌍 | Bulk Product Scraper | Apify Actor ### πŸš€ Extract Notino Product Data in Seconds (No Code) The **Notino Products Scraper (Apify Actor)** is a powerful, scalable, and SEO-optimized e-commerce scraping tool designed to extract product listings from Notino at scale. Scrape beauty products, perfumes, cosmetics, skincare, makeup, haircare, wellness products, and fragrance collections from Notino search pages and category URLs. Export structured datasets for price monitoring, competitor analysis, market research, AI training datasets, product intelligence, and e-commerce automation. --- ### πŸ”₯ Why This Notino Scraper? βœ” Best Notino scraper on Apify βœ” Supports Bulk URL scraping (multi-page extraction) βœ” Supports Bulk Category scraping βœ” Supports Bulk Product Collection scraping βœ” Fast & scalable extraction engine βœ” Structured JSON / CSV / Excel output βœ” Ideal for e-commerce intelligence βœ” Perfect for brands, agencies & data analysts βœ” No coding required --- ### 🎯 What This Scraper Does (Notino Product Data Extraction) This Apify Actor extracts real-time product listings from Notino category pages, search pages, promotions, and product collections. #### πŸ“Œ Core Features βœ… Scrape Notino product listings βœ… Bulk URL scraping support (SEO BOOST πŸš€) βœ… Bulk category scraping βœ… Automatic pagination handling βœ… Extract product names & brands βœ… Extract prices & discounts βœ… Extract ratings & review counts βœ… Extract product images βœ… Extract product URLs βœ… Extract availability information βœ… Extract categories & subcategories βœ… High-speed extraction engine βœ… Clean structured datasets --- ### ⚑ Input Configuration (Simple & Powerful) #### πŸ”₯ BULK URL MODE (SEO BOOST πŸš€) ```` { "urls": \[ "https://www.notino.co.uk/nivea/?exp=Nivea", "https://www.notino.co.uk/loreal-paris/" ], "max\_items": 500 } ``` --- ### πŸ“Š Extracted Product Data (Structured Output) | Field | Description | | ------------------ | --------------------- | | productName | Product name | | brand | Brand name | | category | Product category | | subCategory | Product subcategory | | price | Current selling price | | originalPrice | Original price | | discountPercentage | Discount percentage | | currency | Currency | | rating | Product rating | | reviewCount | Number of reviews | | availability | Stock availability | | imageUrl | Product image | | productUrl | Product URL | | productId | Product identifier | | description | Product description | --- ### πŸ’‘ Use Cases (High Demand SEO Keywords) This Notino scraper is used for: πŸ›οΈ Beauty product scraping πŸ’„ Cosmetics price monitoring 🌸 Perfume database building πŸ“Š E-commerce market research 🏷️ Competitor price intelligence πŸ“ˆ Discount monitoring πŸ€– AI product datasets 🧴 Skincare product analysis πŸ›’ Product aggregation platforms ⚑ Bulk product data extraction --- ### πŸš€ Key Features (Apify SEO Optimized) ⚑ Bulk URL scraping support ⚑ Bulk category scraping 🌍 Global beauty product coverage πŸ“Œ Smart pagination system 🧠 Clean structured output πŸ“Š High-speed extraction engine πŸ” Auto retry & stability system πŸ’Ύ Export-ready datasets βš™οΈ Scalable cloud execution πŸš€ SEO-optimized marketplace listing --- ### πŸ“€ Output Formats Supported βœ” JSON βœ” CSV βœ” Excel XLSX βœ” XML βœ” HTML βœ” RSS --- ### πŸ“¦ Example Output ``` { "productName": "LancΓ΄me La Vie Est Belle Eau de Parfum", "brand": "LancΓ΄me", "category": "Perfumes", "subCategory": "Women's Fragrances", "price": 89.99, "originalPrice": 109.99, "discountPercentage": 18, "currency": "EUR", "rating": 4.9, "reviewCount": 2543, "availability": "In Stock", "imageUrl": "https://cdn.notino.com/product.jpg", "productUrl": "https://www.notino.com/lancome/la-vie-est-belle/", "productId": "NT123456", "description": "Elegant floral gourmand fragrance for women." } ```` --- ### πŸ”₯ Why This Is the BEST Notino Scraper on Apify? βœ” Optimized for Apify search ranking βœ” High-performance product scraping engine βœ” Bulk URL support βœ” Bulk category support βœ” Clean structured output βœ” Enterprise-ready scalability βœ” Beauty & perfume intelligence ready βœ” Perfect for SEO traffic & marketplace visibility --- ### πŸ’Έ Pricing This scraper runs on a pay-per-result pricing model. You only pay for successfully extracted records. πŸ’³ Price: $4.49 / 1,000 results --- ### ❓ FAQ (SEO BOOST SECTION) #### Can I scrape multiple Notino URLs at once? Yes β€” Bulk URL mode is fully supported. #### Can I scrape multiple categories? Yes β€” Bulk Category mode is supported. #### Is this scraper fast? Yes β€” optimized for high-speed extraction. #### Can I export the data? Yes β€” JSON, CSV, Excel, XML, HTML and RSS formats are supported. #### Is coding required? No β€” 100% no-code Apify Actor. --- ### ⚠️ Disclaimer This tool is not affiliated with Notino. It is an independent data extraction solution built for research, analytics, automation, and business intelligence purposes. --- ### πŸ”— Related Actors (PrimeScrape Ecosystem) We are building a complete Product Intelligence & E-commerce Scraping Suite: πŸ‘‰ More PrimeScrape Actors Coming Soon πŸš€ --- ### 🌍 PrimeScrape Ecosystem Built for large-scale data extraction, automation, AI datasets, and market intelligence. πŸ›οΈ Product intelligence 🏷️ Price monitoring πŸ“ˆ Market research πŸ€– AI training datasets 🧠 Competitive intelligence βš™οΈ Automation pipelines πŸ’„ Beauty & cosmetics analytics --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a review if you like this scraper. πŸ“© Contact us for enterprise scraping solutions, custom actors, API integrations, and large-scale data extraction projects. # Actor input Schema ## `urls` (type: `array`): List of notino.co.uk brand or category URLs to scrape. Examples: β€’ https://www.notino.co.uk/nivea/?exp=Nivea β€’ https://www.notino.co.uk/loreal-paris/ β€’ https://www.notino.co.uk/chanel/ ⚠️ URLs must be from notino.co.uk. ## `maxitems` (type: `integer`): Maximum number of products to collect per URL. ## Actor input object example ```json { "urls": [ "https://www.notino.co.uk/nivea/?exp=Nivea", "https://www.notino.co.uk/loreal-paris/" ], "maxitems": 50 } ```` # 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 = { "urls": [ "https://www.notino.co.uk/nivea/?exp=Nivea", "https://www.notino.co.uk/loreal-paris/" ], "maxitems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/notino-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "urls": [ "https://www.notino.co.uk/nivea/?exp=Nivea", "https://www.notino.co.uk/loreal-paris/", ], "maxitems": 50, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/notino-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://www.notino.co.uk/nivea/?exp=Nivea", "https://www.notino.co.uk/loreal-paris/" ], "maxitems": 50 }' | apify call delectable_incubator/notino-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/notino-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Notino Scraper - Low-costπŸ’²πŸ”₯πŸ›οΈπŸ’„", "description": "πŸ›οΈπŸ”Ž Extract product data from Notino with ease. Collect brands, product names, variants, prices, promo prices, ratings, reviews, images, categories, availability and product URLs. Ideal for e-commerce analytics, price monitoring, competitor tracking, catalog management and product intelligenceπŸ’„πŸ“Š", "version": "0.0", "x-build-id": "U4K3QWhOf6g2rSoBg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~notino-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-notino-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~notino-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-notino-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~notino-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-notino-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "urls", "maxitems" ], "properties": { "urls": { "title": "Notino Brand / Category URLs πŸ›οΈ", "type": "array", "description": "List of notino.co.uk brand or category URLs to scrape.\n\n\n\nExamples:\nβ€’ https://www.notino.co.uk/nivea/?exp=Nivea\nβ€’ https://www.notino.co.uk/loreal-paris/\nβ€’ https://www.notino.co.uk/chanel/\n\n⚠️ URLs must be from notino.co.uk.", "items": { "type": "string" } }, "maxitems": { "title": "Maximum products per URL πŸ“„", "type": "integer", "description": "Maximum number of products to collect per URL.", "default": 50 } } }, "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 } } } } } } } } } } ```