# Gbmp News Detail Nw Spider (`getdataforme/gbmp-news-detail-nw-spider`) Actor The Gbmp News Detail Nw Spider is a web scraping tool for extracting detailed news articles from specified URLs. It captures comprehensive data including title, author, and images in JSON format.... - **URL**: https://apify.com/getdataforme/gbmp-news-detail-nw-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 --- ## Gbmp News Detail Nw Spider ### Introduction The Gbmp News Detail Nw Spider is a powerful web scraping tool designed to extract detailed news articles from specified URLs. It provides high-quality data extraction with customizable settings, making it ideal for various applications such as market research and content aggregation. ### Features - **Comprehensive Data Extraction**: Captures all relevant details including title, author, publication date, reading time, featured images, tags, text content, and related links. - **Customizable Input Parameters**: Allows users to specify URLs and set item limits for tailored data scraping needs. - **High-Quality Output**: Ensures reliable and structured output in JSON format for easy integration with other systems. - **User-Friendly Configuration**: Simple setup process with clear input schema and default values. - **Scalable Performance**: Efficiently handles multiple URLs with adjustable performance settings. ### Input Parameters Table | Parameter | Type | Required | Description | Example | |---------------|---------|----------|-----------------------------------------------------------------------------|----------------------------------------------------------------------------------------------| | ProductUrls | array | Yes | The product URLs for the spider. | `["https://www.gbmp.org/bettereverydayleannews/why-onsite-lean-training-outperforms-classroom/online-only-learning"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "ProductUrls": [ "https://www.gbmp.org/bettereverydayleannews/why-onsite-lean-training-outperforms-classroom/online-only-learning" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "url": "https://www.gbmp.org/bettereverydayleannews/why-onsite-lean-training-outperforms-classroom/online-only-learning", "title": "Why Onsite Lean Training Outperforms Classroom/Online-Only Learning", "author": "GBMP", "published_date": "6/10/26 4:53 PM", "reading_time": "2 min read", "featured_image": "https://www.gbmp.org/hubfs/onshite%20training%20better%20results%20than%20classroom%20only.png", "tags": [ "lean manufacturing facilitator", "hands-on learning", "onsite training", "benefits of tacit learning", "lean tactice training" ], "text": "There is no arguing that lean training...", "content_images": [ "https://www.gbmp.org/hs-fs/hubfs/onshite%20training%20better%20results%20than%20classroom%20only.png?width=563&height=768&name=onshite%20training%20better%20results%20than%20classroom%20only.png" ], "links": [ "https://www.gbmp.org/bettereverydayleannews/the-7-wastes-of-lean-manufacturing-how-to-identify-and-eliminate-them", "https://www.gbmp.org/bettereverydayleannews/heijunka-how-production-leveling-smooths-flow-and-reduces-waste-in-lean-manufacturing-operations" ], "actor_id": "PmBVfLrLTBK0Ax45e", "run_id": "IXYkWQF6c4teoGYC9" } ] ``` ### Use Cases - **Market Research and Analysis**: Extract detailed news articles for competitive analysis. - **Competitive Intelligence**: Monitor industry trends by scraping competitor news. - **Price Monitoring**: Track pricing strategies through related news content. - **Content Aggregation**: Compile news articles for content platforms or newsletters. - **Academic Research**: Gather data for studies on media and communication. - **Business Automation**: Automate the collection of relevant business news. ### Installation and Usage 1. Search for "Gbmp News Detail Nw 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 structured in JSON format with key fields such as `url`, `title`, `author`, `published_date`, `reading_time`, `featured_image`, `tags`, `text`, `content_images`, and `links`. Each field provides specific details about the scraped news article. ### Error Handling Information - **Invalid URLs**: The spider will skip any invalid or unreachable URLs. - **Exceeding Item Limit**: If the item limit is reached, no further items will be processed. - **Network Errors**: Temporary network issues may cause retries; persistent errors will halt processing for that URL. ### Rate Limiting and Best Practices - **Respectful Scraping**: Ensure compliance with website terms of service to avoid being blocked. - **Adjust Item Limits**: Set appropriate item limits to manage load and performance. - **Monitor Logs**: Regularly check logs for any issues or errors during execution. ### Limitations and Considerations - **Website Changes**: The spider may require updates if the target website's structure changes. - **Data Completeness**: Some articles may not have all fields populated, depending on their content. - **Performance Variability**: Scraping speed can vary based on network conditions and server response times. ### 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 ## `ProductUrls` (type: `array`): The product 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 { "ProductUrls": [ "https://www.gbmp.org/bettereverydayleannews/why-onsite-lean-training-outperforms-classroom/online-only-learning" ], "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/gbmp-news-detail-nw-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/gbmp-news-detail-nw-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/gbmp-news-detail-nw-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/gbmp-news-detail-nw-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Gbmp News Detail Nw Spider", "description": "The Gbmp News Detail Nw Spider is a web scraping tool for extracting detailed news articles from specified URLs. It captures comprehensive data including title, author, and images in JSON format....", "version": "0.0", "x-build-id": "ayFXECeFjfAbFJfVL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~gbmp-news-detail-nw-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-gbmp-news-detail-nw-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~gbmp-news-detail-nw-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-gbmp-news-detail-nw-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~gbmp-news-detail-nw-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-gbmp-news-detail-nw-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "ProductUrls": { "title": "Product Urls", "minItems": 1, "type": "array", "description": "The product urls for the spider.", "default": [ "https://www.gbmp.org/bettereverydayleannews/why-onsite-lean-training-outperforms-classroom/online-only-learning" ], "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 } } } } } } } } } } ```