# Karimtor Discovery Parser Spider (`getdataforme/karimtor-discovery-parser-spider`) Actor The Karimtor Discovery Parser Spider is a web scraping tool for travel websites, extracting detailed tour and cruise information. It offers comprehensive data extraction with customizable limits, ensuring high-quality results in JSON, CSV, or Excel formats.... - **URL**: https://apify.com/getdataforme/karimtor-discovery-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, 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 --- ## Karimtor Discovery Parser Spider ### Introduction The **Karimtor Discovery Parser Spider** is a powerful web scraping tool designed to extract detailed information from travel and tour websites. It efficiently gathers data on various tours, cruises, and experiences, providing valuable insights for businesses and individuals interested in the travel industry. ### Features - **Comprehensive Data Extraction**: Captures essential details such as titles, descriptions, prices, and images. - **High-Quality Data**: Ensures reliable and accurate information retrieval. - **Customizable Item Limits**: Allows users to set specific limits on the number of items scraped per run. - **User-Friendly Interface**: Easy configuration with clear input parameters. - **Versatile Output Formats**: Supports multiple export formats including 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 [ { "title": "Istanbul Bosphorus Tour: 2 Continents in One Day", "duration": "7 hours", "description": "Discover Istanbul, where Europe meets Asia! Visit palaces, modern districts, and cross the Bosphorus in one day. Experience 1,000 years of history. Book your tour!", "price": "\u20ac100", "currency": "EUR", "image_url": "https://bcvtumk79h.ufs.sh/f/7uBQ9XZFPcZH4PoVw7tgFK9lenDUdt0ZERPXN2YV5f3SW6mk?type=image", "image_alt": "Istanbul Bosphorus Tour: 2 Continents in One Day", "button_text": "Book Now", "actor_id": "3FsbtIAnOokm2VQYw", "run_id": "j11Vd8j61npMe0cKr" }, { "title": "Bosphorus Dinner Cruise Istanbul: Night Show & Buffet", "duration": "4", "description": "Experience a magical night in Istanbul! Dinner cruise between Europe and Asia. Enjoy Turkish night shows, belly dance, and stunning city views. Book your seat now!", "price": "\u20ac45", "currency": "EUR", "image_url": "https://bcvtumk79h.ufs.sh/f/7uBQ9XZFPcZHaB92wM4wQjKx7oJcGvF0p19SqYZRuimtV23b?type=image", "image_alt": "Bosphorus Dinner Cruise Istanbul: Night Show & Buffet", "button_text": "Book Now", "actor_id": "3FsbtIAnOokm2VQYw", "run_id": "j11Vd8j61npMe0cKr" }, { "title": "5-Star Nile Cruise: Luxury Journey from Luxor to Aswan", "duration": "4 days", "description": "Sail Ancient Egypt in style! Experience a 5-star luxury cruise from Luxor to Aswan. Includes majestic temples, culture, and premium service. Your dream trip awaits.", "price": "\u20ac460", "currency": "EUR", "image_url": "https://bcvtumk79h.ufs.sh/f/7uBQ9XZFPcZH4PT3vhxgFK9lenDUdt0ZERPXN2YV5f3SW6mk?type=image", "image_alt": "5-Star Nile Cruise: Luxury Journey from Luxor to Aswan", "button_text": "Book Now", "actor_id": "3FsbtIAnOokm2VQYw", "run_id": "j11Vd8j61npMe0cKr" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data on travel trends and offerings. - **Competitive Intelligence**: Monitor competitors' tour packages and pricing strategies. - **Price Monitoring**: Track changes in prices for various tours and experiences. - **Content Aggregation**: Compile information for travel blogs or websites. - **Academic Research**: Collect data for studies related to tourism and economics. - **Business Automation**: Automate the process of gathering travel-related data. ### Installation and Usage 1. Search for "Karimtor Discovery 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 the following fields: - **title**: The name of the tour or experience. - **duration**: Length of the tour. - **description**: Detailed information about the tour. - **price**: Cost of the tour. - **currency**: Currency in which the price is listed. - **image\_url**: URL to an image representing the tour. - **image\_alt**: Alternative text for the image. - **button\_text**: Text on the booking button. - **actor\_id**: Unique identifier for the actor. - **run\_id**: Unique 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/karimtor-discovery-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/karimtor-discovery-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/karimtor-discovery-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/karimtor-discovery-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Karimtor Discovery Parser Spider", "description": "The Karimtor Discovery Parser Spider is a web scraping tool for travel websites, extracting detailed tour and cruise information. It offers comprehensive data extraction with customizable limits, ensuring high-quality results in JSON, CSV, or Excel formats....", "version": "0.0", "x-build-id": "v8sbzYtbT9lZPh5Wx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~karimtor-discovery-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-karimtor-discovery-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~karimtor-discovery-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-karimtor-discovery-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~karimtor-discovery-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-karimtor-discovery-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 } } } } } } } } } } ```