# Blueland Product Spider (`getdataforme/blueland-product-spider`) Actor Scrape comprehensive product data from Blueland's eco-friendly essentials, extracting names, descriptions, images, prices, ratings, and availability. Delivers structured JSON for seamless integration.... - **URL**: https://apify.com/getdataforme/blueland-product-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Agents, E-commerce - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ## Blueland Product Spider The Blueland Product Spider is an Apify Actor designed to scrape detailed product information from the Blueland website, a popular brand for eco-friendly household essentials. It efficiently extracts key data such as product names, descriptions, images, prices, ratings, and availability, delivering structured JSON output for easy integration into your workflows. This tool empowers businesses and researchers to gather accurate, up-to-date product insights without manual effort. ### Features - **Comprehensive Data Extraction**: Pulls detailed product attributes including names, descriptions, images, SKUs, prices, ratings, and availability. - **Multi-URL Support**: Handles multiple product URLs in a single run for batch processing. - **Structured JSON Output**: Delivers clean, machine-readable data suitable for databases, analytics, or APIs. - **High Reliability**: Built with robust error handling to ensure consistent results from Blueland's dynamic web pages. - **Fast and Scalable**: Optimized for performance, processing URLs quickly while respecting rate limits. - **No Coding Required**: Simple input configuration makes it accessible for non-technical users. - **Eco-Friendly Focus**: Tailored for sustainable product data, aligning with Blueland's mission. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | Yes (min 1 item) | An array of URLs pointing to Blueland product pages to scrape. Each URL must be a valid HTTP/HTTPS link. | ["https://www.blueland.com/products/hand-soap-refill-packs"] | ### Example Usage To run the Actor, provide input in JSON format: ```json { "Urls": [ "https://www.blueland.com/products/hand-soap-refill-packs?Scent=Classic+Variety+Pack&Pack+Size=5+Tablets" ] } ```` Example output: ```json [ { "name": "Hand Soap Tablet Refills", "description": "Keep your hands clean with our eco-friendly and plastic-free foaming hand soap refill tablets. Easy, mess-free, and made sustainably for a better earth.", "brand": "Blueland", "images": [ "https://cdn.shopify.com/s/files/1/0057/9158/0227/files/PDP_Refills_Variety_Pack_Cedar_Fig_2_1.jpg?v=1762198238" ], "sku": "TAB-5P-HS2-MP", "url": "https://www.blueland.com/products/hand-soap-refill-packs?Scent=Classic+Variety+Pack&Pack+Size=5+Tablets", "aggregate_rating": { "@type": "AggregateRating", "ratingValue": "4.8", "reviewCount": 38699 }, "crawled_date": "2026-01-14", "offer_sku": "TAB-5P-HS2-MP", "offer_price": 12.5, "offer_currency": "USD", "offer_url": "https://www.blueland.com/products/hand-soap-refill-packs?Scent=Classic+Variety+Pack&Pack+Size=5+Tablets", "offer_availability": "https://schema.org/InStock", "actor_id": "V59rWMXOdk41j5zEf", "run_id": "ZSDTdyWgs6NGARNps" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data on Blueland's product offerings to analyze trends in sustainable household goods. - **Competitive Intelligence**: Compare Blueland's prices, ratings, and features with competitors in the eco-friendly market. - **Price Monitoring**: Track price changes and availability for automated alerts in e-commerce strategies. - **Content Aggregation**: Collect product descriptions and images for blogs, catalogs, or affiliate marketing sites. - **Academic Research**: Study consumer preferences in green products using structured data from Blueland. - **Business Automation**: Integrate scraped data into inventory systems or recommendation engines for retail platforms. ### Installation and Usage 1. Search for "Blueland Product Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The Actor outputs an array of JSON objects, each representing a scraped product. Key fields include: - `name`: Product title. - `description`: Detailed product info. - `brand`: Always "Blueland". - `images`: Array of image URLs. - `sku`: Unique product identifier. - `url`: Source URL. - `aggregate_rating`: Rating object with value and count. - `crawled_date`: Date of scraping. - `offer_*`: Pricing and availability details (SKU, price, currency, URL, availability). - `actor_id` and `run_id`: Metadata for tracking. Data is enriched with schema.org standards for compatibility. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json {} ``` # 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("getdataforme/blueland-product-spider").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("getdataforme/blueland-product-spider").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 '{}' | apify call getdataforme/blueland-product-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/blueland-product-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Blueland Product Spider", "description": "Scrape comprehensive product data from Blueland's eco-friendly essentials, extracting names, descriptions, images, prices, ratings, and availability. Delivers structured JSON for seamless integration....", "version": "0.0", "x-build-id": "vSrN0p6NGRHzKZYlB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~blueland-product-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-blueland-product-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~blueland-product-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-blueland-product-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~blueland-product-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-blueland-product-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```