# Sage Discovery Parser Spider (`getdataforme/sage-discovery-parser-spider`) Actor The Sage Discovery Parser Spider is a web scraping tool designed for extracting detailed information from Sage's website. It supports customizable searches, flexible URL configurations, and scalable data management.... - **URL**: https://apify.com/getdataforme/sage-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, 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 --- ## Sage Discovery Parser Spider ### Introduction The **Sage Discovery Parser Spider** is a powerful web scraping tool designed to extract detailed information from the Sage website. It allows users to search for specific terms and gather comprehensive data on various industry solutions offered by Sage, making it invaluable for market research, competitive analysis, and business intelligence. ### Features - **Customizable Search**: Tailor your searches with specific terms to find relevant data. - **Flexible URL Configuration**: Define multiple URLs to scrape, ensuring comprehensive coverage. - **Scalable Item Limit**: Set a maximum number of items to scrape per run for efficient data management. - **High-Quality Data Extraction**: Extracts detailed summaries and descriptions from web pages. - **User-Friendly Setup**: Easy configuration with intuitive input parameters. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|--------------------------| | SearchTerm | string | No | The search term for the spider. | `"hospitality"` | | Urls | array | Yes | URLs to scrape, must be valid HTTP/HTTPS links. | `["https://www.sage.com"]`| | item_limit | integer | No | Maximum items to scrape per actor run; set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "SearchTerm": "hospitality", "Urls": ["https://www.sage.com"], "item_limit": 10 } ```` #### Output JSON ```json [ { "title": "Hospitality and Hotel Accounting and Management Software ", "live_url": "https://www.sage.com/en-us/industry/hospitality/", "display_url": "https://www.sage.com/en-us/industry/hospitality/", "summary": "Accelerate budgeting and forecasting with data-driven insights. Why leading hospitality businesses choose Sage. ... Can accounting be automated for hospitality businesses? Yes! Automation is crucial for efficiency.", "description": [ "Learn more about Sage accounting, payroll, and HR software for hospitality businesses. Suitable for hotels, restaurants, and more." ], "rank": 1, "score": 1000, "actor_id": "sgDaiAs1ghvGRSU96", "run_id": "qGUnZRixufLQLJzEY" }, { "title": "Sage Business Management Software and Solutions", "live_url": "https://www.sage.com/en-us/", "display_url": "https://www.sage.com/en-us/", "summary": "Hospitality. Professional services.", "description": [ "From startup to enterprise solutions, Sage has innovative software powered by the latest AI and machine learning to manage your accounting, people, payroll, and payments." ], "rank": 2, "score": 523, "actor_id": "sgDaiAs1ghvGRSU96", "run_id": "qGUnZRixufLQLJzEY" }, { "title": "Industry Specific Business Management & Accounting Software ", "live_url": "https://www.sage.com/en-us/industry/", "display_url": "https://www.sage.com/en-us/industry/", "summary": "Hospitality. Satisfy customers, drive revenue, and reduce operational costs.", "description": [ "Increase efficiency by up to 60% with Sage business management & accounting software tailored for your industry." ], "rank": 3, "score": 373, "actor_id": "sgDaiAs1ghvGRSU96", "run_id": "qGUnZRixufLQLJzEY" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather insights into industry trends and solutions. - **Competitive Intelligence**: Monitor competitors' offerings and strategies. - **Price Monitoring**: Track pricing changes for Sage products. - **Content Aggregation**: Compile information for reports or presentations. - **Academic Research**: Support studies on business software solutions. - **Business Automation**: Integrate data into automated workflows. ### Installation and Usage 1. Search for "Sage 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 of objects, each containing: - `title`: The title of the scraped content. - `live_url`: The original URL where the content was found. - `display_url`: A clean version of the URL for display purposes. - `summary`: A brief summary of the content. - `description`: An array with detailed descriptions. - `rank`: The rank order of the item based on relevance or score. - `score`: A numerical value indicating the relevance or importance. - `actor_id`: Identifier for the actor instance. - `run_id`: Identifier for the specific run. ### Error Handling The spider is designed to handle common web scraping errors, such as: - **404 Not Found**: Logs a warning and continues with other URLs. - **Rate Limiting**: Automatically adjusts request frequency if rate limits are encountered. - **Invalid URLs**: Skips invalid URLs and logs an error message. For any persistent issues, contact support for assistance. ### Rate Limiting and Best Practices To ensure optimal performance: - Respect the target website's `robots.txt` file. - Use a reasonable `item_limit` to avoid overwhelming the server. - Monitor the log for rate limiting messages and adjust your configuration accordingly. ### Limitations and Considerations - The spider is tailored for Sage.com; results may vary on other sites. - Ensure compliance with legal and ethical web scraping guidelines. - Performance may be affected by network conditions or website changes. ### 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 ## `SearchTerm` (type: `string`): The search term for the spider. ## `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 { "SearchTerm": "hospitality", "Urls": [ "https://www.sage.com" ], "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/sage-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/sage-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/sage-discovery-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/sage-discovery-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sage Discovery Parser Spider", "description": "The Sage Discovery Parser Spider is a web scraping tool designed for extracting detailed information from Sage's website. It supports customizable searches, flexible URL configurations, and scalable data management....", "version": "0.0", "x-build-id": "GJguWory9ao1BGOAH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~sage-discovery-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-sage-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~sage-discovery-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-sage-discovery-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~sage-discovery-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-sage-discovery-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "SearchTerm": { "title": "Search Term", "type": "string", "description": "The search term for the spider.", "default": "hospitality" }, "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://www.sage.com" ], "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 } } } } } } } } } } ```