# Allagash Review Parser Spider (`getdataforme/allagash-review-parser-spider`) Actor The Allagash Review Parser Spider efficiently extracts detailed product reviews from the Allagash website, capturing ratings, author details, and timestamps for market analysis and customer feedback.... - **URL**: https://apify.com/getdataforme/allagash-review-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 --- ## Allagash Review Parser Spider ### Introduction The Allagash Review Parser Spider is a powerful tool designed to extract detailed product reviews from the Allagash website. It efficiently gathers data such as review ratings, author details, and timestamps, providing valuable insights for market analysis and customer feedback. ### Features - **Comprehensive Data Extraction**: Captures all relevant review information including ratings, author names, and timestamps. - **High Reliability**: Ensures accurate and consistent data retrieval with minimal errors. - **Customizable Limits**: Allows users to set a maximum number of items to scrape per run. - **Flexible URL Configuration**: Supports multiple URLs for extensive scraping capabilities. - **User-Friendly Interface**: Easy setup and configuration through the Apify Store. ### Input Parameters | Parameter | Type | Required | Description | Example | |------------|---------|----------|-----------------------------------------------------------------------------|-------------------------------------------------------------------------| | Urls | array | Yes | The URLs for the spider to scrape. Must be valid HTTP/HTTPS links. | `["https://allagash-antlers.com/products/split-moose-antler-base-dog-chew"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "Urls": [ "https://allagash-antlers.com/products/split-moose-antler-base-dog-chew?_pos=2&_sid=47f97fca7&_ss=r&variant=44414531829830" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "review_id": "e9b2008a-8ff8-4856-a298-1df5978863b2", "verified_buyer": true, "product_title": "Split Moose Antler Base Dog Chew", "product_url": "https://allagash-antlers.com/products/split-moose-antler-base-dog-chew", "thumb_up_count": 0, "thumb_down_count": 0, "rating": 5, "timestamp": "2026-05-14 13:16:54 UTC", "author": "Gail Sherwood", "location": null, "title": "Split Moose Antlers a Hit", "body": "My five dogs love the split antlers! The best!", "image_urls": [], "video_urls": [], "actor_id": "FDpyImlFkf8ej7gHi", "run_id": "hmjvQNXgLiC9zMgwR" }, { "review_id": "96809550-982c-4875-bda6-2cb1800ae8ae", "verified_buyer": true, "product_title": "Split Moose Antler Base Dog Chew", "product_url": "https://allagash-antlers.com/products/split-moose-antler-base-dog-chew", "thumb_up_count": 0, "thumb_down_count": 0, "rating": 4, "timestamp": "2026-03-30 14:20:41 UTC", "author": "JRodriguez", "location": null, "title": "Good Chew", "body": "I have a serious chewer and 2 moderate chewers. I was hoping that all 3 would really enjoy these antlers. So far, our serious chewer is the one who keeps going back to it. The other 2 aren't all that interested. I would definitely recommend them to anyone who has a serious chewer.", "image_urls": [], "video_urls": [], "actor_id": "FDpyImlFkf8ej7gHi", "run_id": "hmjvQNXgLiC9zMgwR" } ] ``` ### Use Cases - **Market Research and Analysis**: Gain insights into customer preferences and product performance. - **Competitive Intelligence**: Monitor competitor products and gather comparative data. - **Price Monitoring**: Track pricing trends and changes over time. - **Content Aggregation**: Compile reviews for content creation or analysis. - **Academic Research**: Use review data for studies in consumer behavior or marketing. - **Business Automation**: Integrate with systems to automate data collection processes. ### Installation and Usage 1. Search for "Allagash Review 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 containing objects with fields such as `review_id`, `verified_buyer`, `product_title`, `product_url`, `thumb_up_count`, `thumb_down_count`, `rating`, `timestamp`, `author`, `location`, `title`, `body`, `image_urls`, `video_urls`, `actor_id`, and `run_id`. Each field provides specific details about the reviews extracted. ### Error Handling The spider is designed to handle common errors such as invalid URLs or network issues gracefully. If an error occurs, it will be logged in the Apify console for troubleshooting. Ensure all input URLs are valid and accessible. ### Rate Limiting and Best Practices - **Respect Website Policies**: Adhere to the website's terms of service regarding data scraping. - **Optimize Requests**: Use appropriate intervals between requests to avoid overloading the server. - **Monitor Performance**: Regularly check logs for any rate limiting issues or errors. ### Limitations and Considerations - The spider is specifically designed for Allagash product reviews and may not work with other websites. - Ensure compliance with legal requirements related to data scraping in your jurisdiction. - Be mindful of the website's load and avoid excessive requests that could disrupt service. # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "Urls": [ "https://allagash-antlers.com/products/split-moose-antler-base-dog-chew?_pos=2&_sid=47f97fca7&_ss=r&variant=44414531829830" ], "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/allagash-review-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/allagash-review-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/allagash-review-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/allagash-review-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Allagash Review Parser Spider", "description": "The Allagash Review Parser Spider efficiently extracts detailed product reviews from the Allagash website, capturing ratings, author details, and timestamps for market analysis and customer feedback....", "version": "0.0", "x-build-id": "DT1n4SrSu4Bcpfnvi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~allagash-review-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-allagash-review-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~allagash-review-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-allagash-review-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~allagash-review-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-allagash-review-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://allagash-antlers.com/products/split-moose-antler-base-dog-chew?_pos=2&_sid=47f97fca7&_ss=r&variant=44414531829830" ], "items": { "type": "string" } }, "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 } } } } } } } } } } ```