# Theoutbound ProductInfo Scraper (`getdataforme/theoutbound-productinfo-scraper`) Actor The Theoutbound ProductInfo Scraper extracts detailed data on outdoor adventures from Theoutbound.com, providing descriptions, ratings, and reviews.... - **URL**: https://apify.com/getdataforme/theoutbound-productinfo-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ## Theoutbound ProductInfo Scraper ### Introduction The Theoutbound ProductInfo Scraper is a powerful tool designed to extract detailed information about outdoor adventures from Theoutbound.com. This Actor provides comprehensive data on hiking trails, camping spots, and other outdoor activities, making it invaluable for outdoor enthusiasts, researchers, and businesses. ### Features - **Comprehensive Data Extraction**: Gathers detailed information about outdoor adventures, including descriptions, ratings, and reviews. - **High Data Quality**: Ensures accurate and up-to-date information by scraping directly from Theoutbound.com. - **Efficient Performance**: Quickly processes multiple URLs to deliver results in a timely manner. - **User-Friendly Setup**: Simple input configuration with prefilled example URLs. - **Versatile Output**: Provides structured data suitable for various applications, including JSON, CSV, and Excel formats. - **Reliable Operation**: Built on Apify's robust platform, ensuring consistent performance and uptime. ### Input Parameters | Parameter | Type | Required | Description | Example | |------------|--------|----------|---------------------------|-------------------------------------------------------------------------| | startUrls | array | Yes | URLs to start with. | `["https://www.theoutbound.com/san-francisco/hiking/hike-kirby-cove"]` | ### Example Usage #### Example Input JSON ```json { "startUrls": [ { "url": "https://www.theoutbound.com/san-francisco/hiking/hike-kirby-cove" } ] } ```` #### Example Output JSON ```json [ { "url": "https://www.theoutbound.com/san-francisco/hiking/hike-kirby-cove", "adventureTitle": "Kirby Cove", "location": "Mill Valley, California", "description": "Kirby Cove and Kirby Beach are reached by easy hike with breathtaking views (about 2 miles roundtrip). This destination is close enough to the city of San Francisco, but feels like a world away. Great for sunrises and sunsets with the bridge as a great backdrop!", "rating": { "value": "4.7", "reviewCount": "6" }, "details": { "Distance": "3.01 miles", "Elevation Gain": "774 ft", "Route Type": "Out-and-Back" }, "features": [ "Photography", "Hiking", "Beach", "Easy Parking", "Food Nearby", "Scenic" ], "coordinates": { "latitude": "37.83238949301146", "longitude": "-122.48211386159366" }, "breadcrumb": [ "United States", "California", "Mill Valley" ], "reviews": [ { "author": "Brian Heifferon", "rating": "5.0", "reviewText": "Really enjoyable little adventure. A relatively short hike down to the water where you’ll enjoy amazing views of the city and the Golden Gate Bridge. Great for families.", "date": "10/16/23" } ], "nearby": [ { "name": "Headlands Ride to Point Bonita Lighthouse", "url": "https://theoutbound.com/san-francisco/cycling/headlands-ride-to-point-bonita-lighthouse", "slug": "headlands-ride-to-point-bonita-lighthouse" } ], "modal": { "isVisible": false, "title": null, "body": null, "closeButtonExists": true, "overlayOpacity": "75", "modalWidth": "10/12" } } ] ``` ### Use Cases - **Market Research and Analysis**: Gather insights into popular outdoor activities and locations. - **Competitive Intelligence**: Monitor competitor offerings and user feedback. - **Content Aggregation**: Compile comprehensive guides and articles on outdoor adventures. - **Academic Research**: Analyze trends and patterns in outdoor recreation. - **Business Automation**: Automate data collection for travel agencies and tour operators. ### Installation and Usage 1. Search for "Theoutbound ProductInfo 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 output is a JSON array where each object contains detailed information about an adventure, including: - `url`: The URL of the adventure. - `adventureTitle`: The title of the adventure. - `location`: The geographical location. - `description`: A detailed description of the adventure. - `rating`: An object containing the average rating and review count. - `details`: Specific details like distance, elevation gain, and route type. - `features`: A list of features available at the location. - `coordinates`: Latitude and longitude of the location. - `breadcrumb`: Navigation path to the location. - `reviews`: An array of user reviews. - `nearby`: Nearby adventures with links. ### 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 ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.theoutbound.com/san-francisco/hiking/hike-kirby-cove" } ] } ``` # 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.theoutbound.com/san-francisco/hiking/hike-kirby-cove" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/theoutbound-productinfo-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.theoutbound.com/san-francisco/hiking/hike-kirby-cove" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/theoutbound-productinfo-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.theoutbound.com/san-francisco/hiking/hike-kirby-cove" } ] }' | apify call getdataforme/theoutbound-productinfo-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/theoutbound-productinfo-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Theoutbound ProductInfo Scraper", "description": "The Theoutbound ProductInfo Scraper extracts detailed data on outdoor adventures from Theoutbound.com, providing descriptions, ratings, and reviews....", "version": "0.0", "x-build-id": "cKKdgYcGqgyCsjaxW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~theoutbound-productinfo-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-theoutbound-productinfo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~theoutbound-productinfo-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-theoutbound-productinfo-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~theoutbound-productinfo-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-theoutbound-productinfo-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "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 } } } } } } } } } } ```