# WorkInSports Scraper (`lexis-solutions/workinsports-scraper`) Actor WorkInSports Scraper: collect structured sports job listings from WorkInSports, including titles, companies, locations, salaries, benefits and requirements for recruitment analytics, market research and sports industry hiring insights. - **URL**: https://apify.com/lexis-solutions/workinsports-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** Jobs, AI, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.90 / 1,000 jobs 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## πŸ… WorkInSports Scraper ![WorkInSports Scraper](https://i.ibb.co/jv4H6qKc/Screenshot-2026-05-26-at-11-29-35-PM.png) ### ❓ What is WorkInSports Scraper? The WorkInSports Scraper is a web scraping tool that collects publicly available job listings from **WorkInSports** β€” the leading job board for the sports industry since 2000. It automatically retrieves structured job data including job titles, companies, locations, salaries, benefits, and more. The scraper navigates search results, handles pagination, and extracts detailed information from individual job pages, making it easy to analyze or integrate sports job data into other systems or datasets. It is designed for sports industry job market research, talent acquisition, recruitment analytics, and building structured datasets of sports job listings across the United States. ### 🌍 Why scrape WorkInSports? WorkInSports is the largest sports-specific job board in the US, hosting thousands of job listings across categories like coaching, athletic training, sports medicine, management, and more. Scraping WorkInSports allows you to collect structured job data at scale, making it easier to explore the sports job market comprehensively. Scraping WorkInSports allows you to: - Discover sports job openings across states, cities, and categories - Collect structured job listings with salaries, benefits, and requirements - Analyze hiring trends across the sports industry - Build datasets of sports employers and open positions - Track job postings by career title, experience level, or employment type - Conduct market research and competitive analysis within the sports job ecosystem This is especially useful for recruiters, job seekers, analysts, and sports industry researchers. ### πŸ“₯ Input ```json { "maxItems": 5, "startUrls": [ { "url": "https://www.workinsports.com/search?k=&loc=&d=0&rem=false#/search?c=&loc=&rem=false&hyb=false&inp=false&k=&d=50&o=14&ct=&st=page&p=1" }, ], "proxyConfiguration": { "useApifyProxy": false, } } ```` ### πŸ“€ Output ```json [ { "url": "https://www.workinsports.com/jobs/view/509176611", "title": "Athletic Trainer", "company": "Cleveland Cavaliers", "location": "Cleveland, OH", "postedAgo": "3 days ago", "employmentType": "Full-Time", "description": "The Cleveland Cavaliers are seeking a certified Athletic Trainer...", "yearsExperience": "3-5 Years", "salary": "$55,000 - $70,000", "bonusCommission": null, "benefits": ["Health Insurance", "Dental Insurance", "Paid Time Off"], "companyProfileUrl": "/orgs/cleveland-cavaliers", "companyLogoUrl": "https://www.workinsports.com/images/logos/cavaliers.png", "companyOpenJobs": "4", "jobId": "509176611", "postedDate": "01/15/2026", "applyUrl": "https://www.workinsports.com/apply/contactinfo/509176611", "similarJobs": [ { "title": "Assistant Athletic Trainer", "company": "Indiana Pacers", "location": "Indianapolis, IN", "url": "https://www.workinsports.com/jobs/view/509123456" } ] } ] ``` ### Need to scrape other sites? Check out our other scrapers on Apify: - [Bundesagentur fΓΌr Arbeit (Arbeitsagentur) Scraper](https://apify.com/lexis-solutions/bundesagentur-fur-arbeit-arbeitsagentur-scraper) - [Companies House UK Scraper](https://apify.com/lexis-solutions/companies-house-uk-scraper) - [Jobs.ch Scraper](https://apify.com/lexis-solutions/jobs-ch-scraper) - [vdab.be Scraper](https://apify.com/lexis-solutions/vdab-be-scraper) *** πŸ‘€ p.s. Got feedback or need an extension? Lexis Solutions is a [certified Apify Partner](https://apify.com/partners/find). We can help you with custom solutions or data extraction projects. Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions) ### Support Our Work πŸ’ If you're happy with our work and scrapers, you're welcome to leave us a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to. It will take you less than a minute but it will mean a lot to us! ### Image Credit Image Credits: https://www.workinsports.com # Actor input Schema ## `startUrls` (type: `array`): URLs to scrape ## `maxItems` (type: `integer`): The maximum number of items to fetch ## `proxyConfiguration` (type: `object`): Your proxy configuration from Apify ## Actor input object example ```json { "startUrls": [ { "url": "https://www.workinsports.com/search?k=&loc=&d=0&rem=false#/search?c=&loc=&rem=false&hyb=false&inp=false&k=&d=50&o=14&ct=&st=page&p=1" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "startUrls": [ { "url": "https://www.workinsports.com/search?k=&loc=&d=0&rem=false#/search?c=&loc=&rem=false&hyb=false&inp=false&k=&d=50&o=14&ct=&st=page&p=1" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/workinsports-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "startUrls": [{ "url": "https://www.workinsports.com/search?k=&loc=&d=0&rem=false#/search?c=&loc=&rem=false&hyb=false&inp=false&k=&d=50&o=14&ct=&st=page&p=1" }] } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/workinsports-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.workinsports.com/search?k=&loc=&d=0&rem=false#/search?c=&loc=&rem=false&hyb=false&inp=false&k=&d=50&o=14&ct=&st=page&p=1" } ] }' | apify call lexis-solutions/workinsports-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/workinsports-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "WorkInSports Scraper", "description": "WorkInSports Scraper: collect structured sports job listings from WorkInSports, including titles, companies, locations, salaries, benefits and requirements for recruitment analytics, market research and sports industry hiring insights.", "version": "1.0", "x-build-id": "dwpwxZhHPvOo87NgE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~workinsports-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-workinsports-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~workinsports-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-workinsports-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~workinsports-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-workinsports-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to scrape", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max items", "type": "integer", "description": "The maximum number of items to fetch", "default": 5 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Your proxy configuration from Apify", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```