# Avasflowers Profile Scraper (`getdataforme/avasflowers-profile-scraper`) Actor Extract detailed floral product data from Avasflowers.net with ease. Features include comprehensive extraction of names, codes, reviews, descriptions, delivery, care tips, and pricing; fast, reliable scraping via CheerioCrawler; flexible URL inputs; and clean JSON output.... - **URL**: https://apify.com/getdataforme/avasflowers-profile-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Lead generation - **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 ## Avasflowers Profile Scraper ### Introduction The Avasflowers Profile Scraper is a powerful Apify Actor designed to extract detailed product information from Avasflowers.net, a popular online florist. It scrapes essential data such as flower names, product codes, reviews, descriptions, delivery details, care instructions, and pricing options from product pages. This tool empowers businesses, researchers, and developers to gather accurate floral product data efficiently for market analysis, competitive insights, and automation needs. ### Features - **Comprehensive Data Extraction**: Captures key product details including names, codes, reviews, descriptions, delivery info, care tips, and multiple price tiers. - **High Reliability**: Built on CheerioCrawler for fast, reliable scraping with robust error handling to ensure data integrity. - **Flexible Input**: Accepts multiple start URLs to scrape multiple products in a single run. - **Structured Output**: Delivers clean, JSON-formatted data ready for integration into databases, spreadsheets, or analytics tools. - **Performance Optimized**: Processes pages quickly with minimal resource usage, supporting batch scraping for large datasets. - **User-Friendly**: Easy to configure and run via the Apify platform, with clear logging for monitoring progress. - **Scalable**: Handles varying product page structures and updates to maintain accuracy over time. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | startUrls | array | Yes | An array of URLs pointing to Avasflowers product pages to scrape. Each URL should be a valid product page from avasflowers.net. | [{"url": "https://www.avasflowers.net/product/rose-and-carnation-mixed-bouquet"}] | ### Example Usage #### Input JSON ```json { "startUrls": [ { "url": "https://www.avasflowers.net/product/rose-and-carnation-mixed-bouquet" } ] } ```` #### Output JSON ```json [ { "flower_name": "Floral Harmony Bouquet", "product_code": "HS6-X", "reviews": "(260)", "description": "Our Floral Harmony Bouquet contains warm, rich shades of red, pink, and purple creating a stunning visual. This beautiful arrangement will provide joy for a birthday, anniversary, get well or just because. \n \n \n Item pictured is a depiction of an\n arrangement that we will make as similar\n as possible with the same look and feel.\n \n Read more...\n \n \n \n \n The bouquet depicted in the image is a representation of this floral style. We will do our best to make sure your bouquet is crafted with the same design concept, but flowers are a product of nature and will be subject to quality and freshness standards. Some flowers may be substituted with the freshest blooms that are locally available. Vases and containers may also vary, but talented designers will always take the utmost care to craft a beautiful bouquet.\n \n \n \n For more information on our substitution\n policy click\n (HERE)", "delivery": "When available this item is hand delivered by your top ranked\n local florist. We will do our best to accommodate requests.\n However, we do not guarantee delivery for specific times.\n \n Our Standard Delivery Charge is $9.99. We\n often run specials waiving the Delivery\n Charge and you may find a coupon on our\n website. Service Fees are separate from\n Delivery charges. For more information on\n Service Fees, click\n (here).", "care": "Add water daily to ensure your floral arrangement stays fresh and display the flowers in a cool location away from direct sunlight.", "prices": { "SMALL": "39.99", "AS SHOWN": "52.99", "LARGE": "62.99", "LUXURY GRADE": "82.99" } } ] ``` ### Use Cases - **Market Research**: Analyze floral product trends, pricing strategies, and customer reviews to inform business decisions. - **Competitive Intelligence**: Compare Avasflowers offerings with competitors by extracting detailed product specs and prices. - **Price Monitoring**: Track price changes across different sizes and tiers for dynamic pricing alerts. - **Content Aggregation**: Build databases of floral descriptions and care tips for e-commerce platforms or blogs. - **Academic Research**: Study consumer preferences in the floral industry through review and description data. - **Business Automation**: Integrate scraped data into inventory management or marketing automation tools. ### Installation and Usage 1. Search for "Avasflowers Profile Scraper" 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: - `flower_name`: The name of the floral product. - `product_code`: Unique identifier for the product. - `reviews`: Number of reviews in parentheses. - `description`: Detailed product description, including substitution policies. - `delivery`: Information on delivery options, charges, and guarantees. - `care`: Instructions for maintaining the flowers. - `prices`: An object with size options (e.g., SMALL, LARGE) and their corresponding prices. Data is extracted directly from product pages and may include HTML remnants; clean as needed for your use case. ### 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 floral data from Avasflowers.net effortlessly. Key features: fast scraping, detailed product info (names, prices, reviews), flexible URL inputs, and JSON output. Ideal for market research, price monitoring, and competitive analysis. Start scraping today on Apify! (248 characters) # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.avasflowers.net/product/rose-and-carnation-mixed-bouquet" } ] } ``` # 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 = { "startUrls": [ { "url": "https://www.avasflowers.net/product/rose-and-carnation-mixed-bouquet" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/avasflowers-profile-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 = { "startUrls": [{ "url": "https://www.avasflowers.net/product/rose-and-carnation-mixed-bouquet" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/avasflowers-profile-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 '{ "startUrls": [ { "url": "https://www.avasflowers.net/product/rose-and-carnation-mixed-bouquet" } ] }' | apify call getdataforme/avasflowers-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/avasflowers-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Avasflowers Profile Scraper", "description": "Extract detailed floral product data from Avasflowers.net with ease. Features include comprehensive extraction of names, codes, reviews, descriptions, delivery, care tips, and pricing; fast, reliable scraping via CheerioCrawler; flexible URL inputs; and clean JSON output....", "version": "0.0", "x-build-id": "ZBeGNZvbiMBpZ6Is8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~avasflowers-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-avasflowers-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~avasflowers-profile-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-avasflowers-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~avasflowers-profile-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-avasflowers-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```