# Bloomsybox Category Scraper (`getdataforme/bloomsybox-category-scraper`) Actor Effortlessly scrape comprehensive product data from Bloomsybox categories, including titles, prices, descriptions, images, and variants. Ideal for e-commerce pros, researchers, and businesses automating data collection.... - **URL**: https://apify.com/getdataforme/bloomsybox-category-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, Lead generation, E-commerce - **Stats:** 2 total users, 1 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 ## Bloomsybox Category Scraper ### Introduction The Bloomsybox Category Scraper is a powerful Apify Actor designed to extract detailed product information from Bloomsybox's website categories. It efficiently scrapes product data such as titles, prices, descriptions, images, and variants, enabling users to gather comprehensive insights into plant and floral products. This tool is ideal for e-commerce professionals, researchers, and businesses looking to automate data collection from online plant retailers, providing high-quality, structured data for analysis and integration. ### Features - **Comprehensive Data Extraction**: Scrapes detailed product attributes including IDs, SKUs, prices, descriptions, images, and tags from Bloomsybox categories. - **Flexible Search**: Supports keyword-based category searches to target specific product types like "green-plants" or custom categories. - **High Performance**: Utilizes CheerioCrawler for fast, efficient scraping with configurable limits to manage request volumes. - **Structured Output**: Delivers clean, JSON-formatted data ready for export to CSV, Excel, or databases. - **Reliability**: Handles dynamic web content and includes error handling for robust operation. - **Scalable**: Suitable for small-scale extractions or larger datasets with adjustable max items. - **No Coding Required**: User-friendly interface for quick setup and execution on the Apify platform. ### Input Parameters | Parameter | Type | Required | Description | Example | |----------------|---------|----------|-----------------------------------------------------------------------------|------------------| | searchKeywords | string | Yes | Enter the search keywords matching the website category to scrape products from. | "green-plants" | | maxItems | integer| No | Maximum number of requests the crawler can make; limits the dataset size. | 100 | ### Example Usage To run the Actor, provide input parameters in JSON format. Here's an example: ```json { "searchKeywords": "green-plants", "maxItems": 50 } ```` This will scrape up to 50 products from the "green-plants" category. Example output (truncated for brevity): ```json [ { "id": "O3tKVVsJQdS77M1ImXN7lg", "slug": "large-ficus-tineke", "sku": "BB1250P", "title": "Large Ficus Tineke", "thirdParty": "7.GREEN CIRCLE", "isSubscription": false, "isSuperGift": false, "isGoogleProduct": false, "isFacebookProduct": false, "hideFromSearchEngines": false, "hasNotBreadcrumb": false, "disableDatePicker": false, "hideDeliveryDateProp": null, "hasSubscribeAndSaveOffer": false, "showSubscribeAndSaveCartOffer": false, "subscribeAndSaveFrecuency": "Monthly", "cardType": "large", "bouquetSize": "-", "includeBouquetSizeOnSlider": false, "includeFreeShippingIconOnSlider": false, "shortDescription": "", "description": "The Ficus Tineke stands at 8 inches, showcasing its variegated leaves in lush greens, is an ideal choice to enliven smaller spaces. Perfect for desks or shelves, this charming plant effortlessly infuses any area with natural allure and colorful grace, adding a touch of elegant beauty to your surroundings.", "shopifyId": "gid://shopify/Product/7352437047411", "shopifyHandle": "large-ficus-tineke", "shopifyTitle": "Large Ficus Tineke", "availableForSale": true, "shopifyTags": ["Plants"], "price": "89.99", "maxPrice": "89.99", "currency": "USD", "compareAtPrice": "0.0", "mainImage": "https://cdn.shopify.com/s/files/1/0084/0617/1763/files/BB1250P_ficus_tineke_square.jpg?v=1703703734", "variants": [ { "id": "gid://shopify/ProductVariant/41336029708403", "title": "Regular Shipping", "sku": "BB1250P", "price": "89.99", "currency": "USD", "availableForSale": true, "nextDayFee": "9.99", "sameDayFee": null, "saturdayFee": null, "saturdayNextDayFee": null, "shipmentFee": null, "sellingPlanId": null, "sellingPlanName": null } ], "subscriptionProducts": [], "productTags": [ { "id": "diuEDwX9TWOcGgf-NMcNTQ", "slug": "green-plants-c", "title": "Big Green Plants | C", "tagMessage": "", "tagType": "Default", "backgroundColor": null, "textColor": null, "imageUrl": null } ], "filterTags": [ { "id": "9546986", "title": "Green Plants | F", "filterType": "", "tagMessage": "", "minPrice": "", "maxPrice": "", "backgroundColor": null }, { "id": "fcBBhjIDS_excAvYXhC1MA", "title": "Large | F", "filterType": "Plant Size", "tagMessage": "Large", "minPrice": "", "maxPrice": "", "backgroundColor": null } ], "galleryImages": [ { "id": "JACMkQHbSp6i3UilcTLchw", "url": "https://www.datocms-assets.com/32926/1703790913-1_bb1250p_ficus_tineke_front_ok.jpg", "alt": "A vibrant variegated rubber plant in a sleek white pot, ideal for home decor.", "format": "jpg" }, { "id": "W2k572pwQ4SNO5nMFvCIJQ", "url": "https://www.datocms-assets.com/32926/1703703766-2_bb1250p_ficus_tineke_closeup.jpg", "alt": "Glossy green and cream foliage of a large houseplant leaf showcasing vibrant patterns.", "format": "jpg" }, { "id": "POcpR42JQr6lugmc012Omw", "url": "https://www.datocms-assets.com/32926/1703790913-3_bb1250p_ficus_tineke_lifestyle.jpg", "alt": "A vibrant variegated rubber plant in a white ceramic pot, adding charm to indoor decor.", "format": "jpg" }, { "id": "GmQ2DMNQQ9eyvUfzx-5_Yw", "url": "https://www.datocms-assets.com/32926/1703703779-4_bb1250p_ficus_tineke_inches.jpg", "alt": "Elegant indoor plant in a modern white ribbed pot, measuring 8 inches in height.", "format": "jpg" } ], "sourceUrl": "https://apify.com", "scrapedAt": "2026-02-25T11:54:42.722Z" } ] ``` ### Use Cases - **Market Research**: Analyze pricing trends and product availability in the plant industry. - **Competitive Intelligence**: Monitor competitors' offerings and pricing strategies. - **Price Monitoring**: Track price changes for specific plant categories to inform purchasing decisions. - **Content Aggregation**: Build databases of plant descriptions and images for blogs or catalogs. - **Academic Research**: Collect data on plant products for studies in botany or e-commerce. - **Business Automation**: Automate inventory checks or integrate with e-commerce platforms for seamless data flow. ### Installation and Usage 1. Search for "Bloomsybox Category Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., searchKeywords and maxItems). 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 product. Key fields include: `id`, `title`, `price`, `description`, `mainImage`, `variants` (with pricing and availability), `productTags`, `filterTags`, `galleryImages`, and `scrapedAt`. This structured format ensures easy parsing and integration into databases or analysis tools. ### 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! *** Extract comprehensive product data from Bloomsybox categories effortlessly! This scraper pulls detailed info like prices, images, and variants for green plants and more. Perfect for market research, price monitoring, and e-commerce automation. Run it now on Apify for instant, structured JSON results. Try free today! (248 characters) # Actor input Schema ## `searchKeywords` (type: `string`): Enter the Search Keywords as in Website Category ## `maxItems` (type: `integer`): Maximum number of requests that can be made by this crawler. ## Actor input object example ```json { "searchKeywords": "green-plants", "maxItems": 100 } ``` # 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 = { "searchKeywords": "green-plants" }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/bloomsybox-category-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 = { "searchKeywords": "green-plants" } # Run the Actor and wait for it to finish run = client.actor("getdataforme/bloomsybox-category-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 '{ "searchKeywords": "green-plants" }' | apify call getdataforme/bloomsybox-category-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/bloomsybox-category-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bloomsybox Category Scraper", "description": "Effortlessly scrape comprehensive product data from Bloomsybox categories, including titles, prices, descriptions, images, and variants. Ideal for e-commerce pros, researchers, and businesses automating data collection....", "version": "0.0", "x-build-id": "ntNeXUz8d1G8pzzU9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~bloomsybox-category-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-bloomsybox-category-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~bloomsybox-category-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-bloomsybox-category-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~bloomsybox-category-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-bloomsybox-category-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchKeywords": { "title": "Enter the Search Keywords as in Website Category", "type": "string", "description": "Enter the Search Keywords as in Website Category" }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of requests that can be made by this crawler.", "default": 100 } } }, "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 } } } } } } } } } } ```