# Juegosdigitales Discovery Parser Spider (`getdataforme/juegosdigitales-discovery-parser-spider`) Actor Extract detailed video game data from JuegosDigitales using keyword searches. Ideal for market research, price monitoring, and competitive analysis. Features include customizable search parameters, flexible item limits, and high-quality output with seamless integration into Apify's ecosystem.... - **URL**: https://apify.com/getdataforme/juegosdigitales-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 --- ## Juegosdigitales Discovery Parser Spider ### Introduction The Juegosdigitales Discovery Parser Spider is a powerful web scraping tool designed to extract detailed information about video games from the JuegosDigitales website. It allows users to search for specific game titles using keywords and retrieve comprehensive data, including pricing, discounts, and product details. This Actor is ideal for market research, competitive analysis, and price monitoring. ### Features - **Keyword-Based Search**: Customize searches with specific game-related keywords. - **Flexible Item Limit**: Set a maximum number of items to scrape per run or allow unlimited scraping. - **Comprehensive Data Extraction**: Retrieve detailed information such as game name, platform, pricing, and discount details. - **High-Quality Output**: Ensures data accuracy and reliability for informed decision-making. - **Easy Integration**: Seamlessly integrates with Apify's ecosystem for further processing and analysis. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|--------------------------| | Keywords | array | No | The keywords for the spider. | `["resident", "god of war"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "Keywords": ["resident", "god of war"], "item_limit": 10 } ```` #### Output JSON ```json [ { "game_name": "Resident Evil 4 Remake + Separate Ways Ps4", "platform": "PS4", "image_url": "https://www.juegosdigitalescolombia.com.co/wp-content/uploads/2026/04/resident-evil-4-remake-separate-ways-ps4-600x750.jpg.webp", "product_url": "https://www.juegosdigitalescolombia.com.co/producto/resident-evil-4-remake-separate-ways-ps4/", "current_price": "39.900", "current_price_raw": "39.900", "original_price": "99.900", "original_price_raw": "99.900", "savings": "60.000", "savings_raw": "60.000", "on_sale": true, "discount_percent": "-60%", "discount_label": "En oferta", "search_keyword": "resident", "page": 1, "total_results": 22, "actor_id": "ULW2rLgcJd2drqxsZ", "run_id": "SehCOo4RFuXEC72X7" }, { "game_name": "Resident Evil 4 Remake + Separate Ways Ps5", "platform": "PS5", "image_url": "https://www.juegosdigitalescolombia.com.co/wp-content/uploads/2026/04/resident-evil-4-remake-separate-ways-ps5-600x750.jpg.webp", "product_url": "https://www.juegosdigitalescolombia.com.co/producto/resident-evil-4-remake-separate-ways-ps5/", "current_price": "39.900", "current_price_raw": "39.900", "original_price": "89.900", "original_price_raw": "89.900", "savings": "50.000", "savings_raw": "50.000", "on_sale": true, "discount_percent": "-56%", "discount_label": "En oferta", "search_keyword": "resident", "page": 1, "total_results": 22, "actor_id": "ULW2rLgcJd2drqxsZ", "run_id": "SehCOo4RFuXEC72X7" }, { "game_name": "Resident Evil Requiem Ps5", "platform": "PS5", "image_url": "https://www.juegosdigitalescolombia.com.co/wp-content/uploads/2026/02/resident-evil-requiem-ps5-survival-horror-600x750.jpg.webp", "product_url": "https://www.juegosdigitalescolombia.com.co/producto/resident-evil-requiem-ps5/", "current_price": "104.900", "current_price_raw": "104.900", "original_price": "129.900", "original_price_raw": "129.900", "savings": "25.000", "savings_raw": "25.000", "on_sale": true, "discount_percent": "-19%", "discount_label": "En oferta", "search_keyword": "resident", "page": 1, "total_results": 22, "actor_id": "ULW2rLgcJd2drqxsZ", "run_id": "SehCOo4RFuXEC72X7" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data on game prices, discounts, and availability. - **Competitive Intelligence**: Monitor competitor pricing strategies and product offerings. - **Price Monitoring**: Track price changes over time to identify trends or opportunities. - **Content Aggregation**: Compile comprehensive lists of games for content creation. - **Academic Research**: Use the data for studies on consumer behavior in gaming markets. - **Business Automation**: Integrate with business processes for automated reporting and decision-making. ### Installation and Usage 1. Search for "Juegosdigitales 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: - `game_name`: The name of the game. - `platform`: The platform for which the game is available. - `image_url`: URL to the game's image. - `product_url`: Direct link to the product page. - `current_price` and `current_price_raw`: Current price in formatted and raw formats. - `original_price` and `original_price_raw`: Original price in formatted and raw formats. - `savings` and `savings_raw`: Savings amount in formatted and raw formats. - `on_sale`: Boolean indicating if the game is on sale. - `discount_percent`: Discount percentage. - `discount_label`: Label for discount status (e.g., "En oferta"). - `search_keyword`: Keyword used for the search. - `page`: Page number of results. - `total_results`: Total number of results found. - `actor_id` and `run_id`: Unique identifiers for the actor 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 ## `Keywords` (type: `array`): The keywords 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 { "Keywords": [ "resident", "god of war" ], "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/juegosdigitales-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/juegosdigitales-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/juegosdigitales-discovery-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/juegosdigitales-discovery-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Juegosdigitales Discovery Parser Spider", "description": "Extract detailed video game data from JuegosDigitales using keyword searches. Ideal for market research, price monitoring, and competitive analysis. Features include customizable search parameters, flexible item limits, and high-quality output with seamless integration into Apify's ecosystem....", "version": "0.0", "x-build-id": "khNV0Q8Kr3nL5hD3E" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~juegosdigitales-discovery-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-juegosdigitales-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~juegosdigitales-discovery-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-juegosdigitales-discovery-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~juegosdigitales-discovery-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-juegosdigitales-discovery-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Keywords": { "title": "Keywords", "type": "array", "description": "The keywords for the spider.", "default": [ "resident", "god of war" ], "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 } } } } } } } } } } ```