# Intervalworld Discovery Spider (`getdataforme/intervalworld-discovery-spider`) Actor Automate resort data extraction from Intervalworld, ideal for market research, competitive analysis, and price monitoring. Features include automated extraction, high-quality output, customizable parameters, efficient performance, and user-friendly configuration on Apify.... - **URL**: https://apify.com/getdataforme/intervalworld-discovery-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 --- ## Intervalworld Discovery Spider ### Introduction The Intervalworld Discovery Spider is a powerful web scraping tool designed to extract detailed information about resorts from the Intervalworld website. This actor automates data collection for market research and competitive analysis, providing reliable and structured output. ### Features - **Automated Data Extraction**: Seamlessly scrape resort details with minimal setup. - **High-Quality Data Output**: Ensures accurate and comprehensive data capture. - **Customizable Input Parameters**: Tailor the scraping process to specific needs. - **Efficient Performance**: Optimized for speed and reliability. - **User-Friendly Interface**: Easy configuration and execution on Apify. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|----------------------------------------------| | Urls | array | Yes | The URLs for the spider to scrape. | `["https://www.intervalworld.com/web/cs?a=1502&areaCode=6&areaName=Mexico%2C+Acapulco"]` | | 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://www.intervalworld.com/web/cs?a=1502&areaCode=6&areaName=Mexico%2C+Acapulco" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "resort_name": "Banyan Tree Cabo MarquΓ©s", "location": "Acapulco, Guerrero, Mexico", "resort_code": "BTC", "image": "https://www.intervalworld.com/images/_resd/jpg/ii_btc1.jpg", "company_logo": "https://www.intervalworld.com/iimedia/images/icons/tier/icon_elite_small.png", "resort_details_url": "https://www.intervalworld.com/web/cs?a=1503&languageCode=en&resortCode=BTC&parentResortCode=BTC", "resort_details_photos_url": "https://www.intervalworld.com/web/cs?a=1503&languageCode=en&resortCode=BTC&parentResortCode=BTC", "actor_id": "yhJZp8jirl3IRu2ze", "run_id": "I9wOE1Ygy0F7A0jHV" }, { "resort_name": "Canadian Resorts - Marparaiso Queen", "location": "Acapulco, Guerrero, Mexico", "resort_code": "MQU", "image": "https://www.intervalworld.com/images/_resd/jpg/ii_mqu1.jpg", "company_logo": null, "resort_details_url": "https://www.intervalworld.com/web/cs?a=1503&languageCode=en&resortCode=MQU&parentResortCode=MQU", "resort_details_photos_url": "https://www.intervalworld.com/web/cs?a=1503&languageCode=en&resortCode=MQU&parentResortCode=MQU", "actor_id": "yhJZp8jirl3IRu2ze", "run_id": "I9wOE1Ygy0F7A0jHV" }, { "resort_name": "Club Mundo Imperial - Palacio", "location": "Acapulco, Guerrero, Mexico", "resort_code": "PMJ", "image": "https://www.intervalworld.com/images/_resd/jpg/ii_pmj1.jpg", "company_logo": "https://www.intervalworld.com/iimedia/images/icons/tier/icon_premier_small.png", "resort_details_url": "https://www.intervalworld.com/web/cs?a=1503&languageCode=en&resortCode=PMJ&parentResortCode=PMJ", "resort_details_photos_url": "https://www.intervalworld.com/web/cs?a=1503&languageCode=en&resortCode=PMJ&parentResortCode=PMJ", "actor_id": "yhJZp8jirl3IRu2ze", "run_id": "I9wOE1Ygy0F7A0jHV" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data for strategic planning. - **Competitive Intelligence**: Monitor competitor offerings and pricing. - **Price Monitoring**: Track changes in resort prices over time. - **Content Aggregation**: Compile information for marketing materials. - **Academic Research**: Support studies on tourism and hospitality trends. - **Business Automation**: Integrate with CRM systems for automated updates. ### Installation and Usage 1. Search for "Intervalworld Discovery 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 the following fields: - `resort_name`: Name of the resort. - `location`: Geographic location of the resort. - `resort_code`: Unique code for the resort. - `image`: URL to an image of the resort. - `company_logo`: URL to the company's logo (if available). - `resort_details_url`: Link to detailed information about the resort. - `resort_details_photos_url`: Link to photos of the resort. - `actor_id`: Identifier for the actor run. - `run_id`: Unique identifier for the run. ### Error Handling The spider includes error handling mechanisms to manage common issues such as network errors, invalid URLs, and data parsing problems. If an error occurs, it will be logged in the Apify console for review. ### Rate Limiting and Best Practices To avoid being blocked by the target website, adhere to rate limiting guidelines: - Use a reasonable delay between requests. - Respect `robots.txt` directives. - Monitor server responses for signs of throttling or blocking. ### Limitations and Considerations - The spider is designed specifically for Intervalworld URLs. - Ensure compliance with legal and ethical standards when scraping data. - Output quality depends on the structure and availability of data on the target website. # 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://www.intervalworld.com/web/cs?a=1502&areaCode=6&areaName=Mexico%2C+Acapulco" ], "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/intervalworld-discovery-spider").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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/intervalworld-discovery-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call getdataforme/intervalworld-discovery-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/intervalworld-discovery-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Intervalworld Discovery Spider", "description": "Automate resort data extraction from Intervalworld, ideal for market research, competitive analysis, and price monitoring. Features include automated extraction, high-quality output, customizable parameters, efficient performance, and user-friendly configuration on Apify....", "version": "0.0", "x-build-id": "Zhr8HYusBmVjVmRz9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~intervalworld-discovery-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-intervalworld-discovery-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~intervalworld-discovery-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-intervalworld-discovery-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~intervalworld-discovery-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-intervalworld-discovery-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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://www.intervalworld.com/web/cs?a=1502&areaCode=6&areaName=Mexico%2C+Acapulco" ], "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 } } } } } } } } } } ```