# Servicenow Teams Parser Spider (`getdataforme/servicenow-teams-parser-spider`) Actor This Apify actor scrapes ServiceNow's leadership team details from their website, extracting names, titles, images, and URLs in clean JSON format. Ideal for market research, competitive intelligence, and business analysis, featuring robust, scalable performance and ethical scraping. - **URL**: https://apify.com/getdataforme/servicenow-teams-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Other - **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 ### Description This Apify actor scrapes ServiceNow's leadership team details from their website, extracting names, titles, images, and URLs in clean JSON format. Ideal for market research, competitive intelligence, and business analysis, featuring robust, scalable performance and ethical scraping. --- ## Servicenow Teams Parser Spider ### Introduction The Servicenow Teams Parser Spider is a powerful Apify Actor designed to scrape and extract detailed information about ServiceNow's leadership team from their official website. It efficiently parses executive profiles, including names, titles, images, and direct URLs, providing clean, structured data for analysis and integration. This tool is ideal for businesses, researchers, and analysts seeking accurate, up-to-date insights into ServiceNow's organizational structure. ### Features - **Comprehensive Data Extraction**: Scrapes key details from ServiceNow leadership pages, including names, job titles, profile images, and URLs. - **High Reliability**: Built with robust error handling to ensure consistent data retrieval even from dynamic web content. - **Fast and Scalable**: Optimized for performance, capable of processing multiple URLs quickly without overloading servers. - **Structured Output**: Delivers data in clean JSON format, ready for export to CSV, Excel, or databases. - **Customizable Inputs**: Allows users to specify multiple URLs for targeted scraping. - **Apify Integration**: Seamlessly runs on the Apify platform with built-in monitoring and scheduling. - **Ethical Scraping**: Respects website terms and includes rate limiting to avoid disruption. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | No | A list of URLs to scrape for leadership team information. Must be valid HTTP/HTTPS URLs. | ["https://www.servicenow.com/company/leadership.html"] | ### Example Usage #### Input Configuration ```json { "Urls": [ "https://www.servicenow.com/company/leadership.html" ] } ```` #### Output Example ```json [ { "image_url": "https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/images/company-library/employees/bios/executive/bill-mcdermott.sm.jpg", "name": "Bill McDermott", "titles": "Chairman and Chief Executive Officer", "url": "https://www.servicenow.com/company/leadership/bill-mcdermott.html", "actor_id": "FJATNYV4hwJMabXRh", "run_id": "w2S2GFS5Cumhe3RdX" }, { "image_url": "https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/images/company-library/employees/bios/executive/chris-bedi.sm.jpg", "name": "Chris Bedi", "titles": "Chief Customer Officer and AI Enterprise Advisor", "url": "https://www.servicenow.com/company/leadership/chris-bedi.html", "actor_id": "FJATNYV4hwJMabXRh", "run_id": "w2S2GFS5Cumhe3RdX" }, { "image_url": "https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/images/company-library/employees/bios/executive/russ-elmer.sm.jpg", "name": "Russ Elmer", "titles": "Special Counsel", "url": "https://www.servicenow.com/company/leadership/russ-elmer.html", "actor_id": "FJATNYV4hwJMabXRh", "run_id": "w2S2GFS5Cumhe3RdX" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather insights into ServiceNow's leadership to understand company direction and strategy. - **Competitive Intelligence**: Monitor executive changes and roles in the enterprise software industry. - **Content Aggregation**: Build databases of industry leaders for newsletters or reports. - **Academic Research**: Study organizational structures in tech companies for case studies. - **Business Automation**: Integrate scraped data into CRM systems for lead generation. - **HR and Recruitment**: Analyze leadership profiles for talent benchmarking. ### Installation and Usage 1. Search for "Servicenow Teams Parser Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 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 Actor outputs an array of JSON objects, each representing a leadership profile. Key fields include: - `image_url`: URL to the executive's profile image. - `name`: Full name of the leader. - `titles`: Job title or role. - `url`: Direct link to the detailed profile page. - `actor_id` and `run_id`: Metadata from the Apify run for tracking. Data is structured for easy parsing and integration into downstream applications. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://www.servicenow.com/company/leadership.html" ] } ``` # 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/servicenow-teams-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/servicenow-teams-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/servicenow-teams-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/servicenow-teams-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Servicenow Teams Parser Spider", "description": "This Apify actor scrapes ServiceNow's leadership team details from their website, extracting names, titles, images, and URLs in clean JSON format. Ideal for market research, competitive intelligence, and business analysis, featuring robust, scalable performance and ethical scraping.", "version": "0.0", "x-build-id": "JyuIEN2MawWRXjBGZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~servicenow-teams-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-servicenow-teams-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~servicenow-teams-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-servicenow-teams-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~servicenow-teams-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-servicenow-teams-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://www.servicenow.com/company/leadership.html" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```