# Ffhoney Review Product Parser Spider (`getdataforme/ffhoney-review-product-parser-spider`) Actor The Ffhoney Review Product Parser Spider is an Apify actor designed for extracting and parsing product reviews from the Ffhoney website. It provides comprehensive data extraction, customizable limits, efficient performance, and supports multiple output formats like JSON, CSV, and Excel.... - **URL**: https://apify.com/getdataforme/ffhoney-review-product-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, 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 --- ## Ffhoney Review Product Parser Spider ### Introduction The Ffhoney Review Product Parser Spider is designed to efficiently extract and parse product reviews from the Ffhoney website. This Apify Actor enables users to gather valuable insights into customer feedback, helping businesses make informed decisions based on real user experiences. ### Features - **Comprehensive Data Extraction**: Captures detailed review information including ratings, author details, and review text. - **High-Quality Data**: Ensures accurate and reliable data collection for analysis. - **Customizable Limits**: Allows users to set item limits for tailored data extraction needs. - **Efficient Performance**: Optimized for fast and effective scraping operations. - **Versatile Output Formats**: Supports multiple export formats such as JSON, CSV, and Excel. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|---------| | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "item_limit": 5 } ```` #### Output JSON ```json [ { "product_id": "10674290393248", "review_id": "f341cd2c-6771-569a-8027-38449a5bfcd6", "product_title": "Raw Active Marri Honey TA30+", "product_url": "/products/marri-redgum-ta30", "verified_buyer": "true", "author": "Ahmed", "rating": 5, "timestamp": null, "review_title": "", "review_text": "This honey is absolutely delicious, it has a unique flavor profile that's hard to describe but so good. The texture is smooth and rich, making it perfect for drizzling over toast or stirring into tea. I've tried a lot of different honeys, but this one really stands out. It's definitely a new favorite in my kitchen. You should really give it a try if you're a honey lover!", "images": [], "transparency_badge": "review_written_in_shop_app", "thumb_up": 0, "thumb_down": 0, "actor_id": "3oqcv34UXlBJnvTak", "run_id": "fqxdP54X4gYzjF0lj" }, { "product_id": "10674290393248", "review_id": "df611247-e99f-5abc-9810-e8db53239046", "product_title": "Blackbutt / Yarri Raw Honey TA30+", "product_url": "/products/blackbutt-yarri-ta30", "verified_buyer": "true", "author": "Ahmed", "rating": 5, "timestamp": null, "review_title": "", "review_text": "Amazing tasting honey", "images": [], "transparency_badge": "review_written_in_shop_app", "thumb_up": 0, "thumb_down": 0, "actor_id": "3oqcv34UXlBJnvTak", "run_id": "fqxdP54X4gYzjF0lj" }, { "product_id": "10674290393248", "review_id": "24f04864-6d85-5fb4-8f06-b59722ff3071", "product_title": "Organic TA35+ Jarrah Honey (MGO 2142 equiv)", "product_url": "/products/organic-ta35-jarrah-honey-mgo-2142-equiv", "verified_buyer": "true", "author": "Ahmed", "rating": 5, "timestamp": null, "review_title": "", "review_text": "Amazing pure and raw honey will recommend This honey is truly exceptional, a delightful addition to any pantry. Its rich flavor and smooth texture are simply wonderful. I have found it to be a versatile ingredient, perfect for both sweet and savory dishes. The quality is evident in every spoonful. I highly recommend this delightful honey to all.", "images": [], "transparency_badge": "review_written_in_shop_app", "thumb_up": 0, "thumb_down": 0, "actor_id": "3oqcv34UXlBJnvTak", "run_id": "fqxdP54X4gYzjF0lj" } ] ``` ### Use Cases - **Market Research and Analysis**: Gain insights into customer preferences and trends. - **Competitive Intelligence**: Monitor competitor products and reviews for strategic planning. - **Price Monitoring**: Track pricing changes and customer feedback on product value. - **Content Aggregation**: Collect review data for content creation and marketing strategies. - **Academic Research**: Use review data for studies in consumer behavior or market dynamics. - **Business Automation**: Automate the process of gathering and analyzing customer reviews. ### Installation and Usage 1. Search for "Ffhoney Review Product Parser Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 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 output is a JSON array of review objects, each containing: - `product_id`: Unique identifier for the product. - `review_id`: Unique identifier for the review. - `product_title`: Title of the reviewed product. - `product_url`: URL to the product page. - `verified_buyer`: Indicates if the reviewer is a verified buyer. - `author`: Name of the review author. - `rating`: Rating given by the reviewer. - `timestamp`: Date and time when the review was posted (if available). - `review_title`: Title of the review. - `review_text`: Full text of the review. - `images`: List of image URLs included in the review. - `transparency_badge`: Badge indicating transparency of the review process. - `thumb_up`: Number of thumbs up received by the review. - `thumb_down`: Number of thumbs down received by the review. - `actor_id`: Identifier for the actor instance. - `run_id`: Identifier for the run. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Contact Us](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! # Actor input Schema ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "item_limit": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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/ffhoney-review-product-parser-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/ffhoney-review-product-parser-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/ffhoney-review-product-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/ffhoney-review-product-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ffhoney Review Product Parser Spider", "description": "The Ffhoney Review Product Parser Spider is an Apify actor designed for extracting and parsing product reviews from the Ffhoney website. It provides comprehensive data extraction, customizable limits, efficient performance, and supports multiple output formats like JSON, CSV, and Excel....", "version": "0.0", "x-build-id": "VQd0LtPg5e9vMOqWn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~ffhoney-review-product-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-ffhoney-review-product-parser-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~ffhoney-review-product-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-ffhoney-review-product-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~ffhoney-review-product-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-ffhoney-review-product-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```