# Simplyhired Jobs Search Scraper (`jobsapi/simplyhired-jobs-search-scraper`) Actor Scrape job listings from SimplyHired, a global job search aggregator. Extract job titles, companies, locations, salary estimates, and job types for comprehensive job market analysis and recruitment research. - **URL**: https://apify.com/jobsapi/simplyhired-jobs-search-scraper.md - **Developed by:** [Jobs API](https://apify.com/jobsapi) (community) - **Categories:** Jobs, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Simplyhired Jobs Search Scraper Extract job listings from SimplyHired - a global job search aggregator. Collect job titles, companies, locations, salaries, and descriptions from multiple sources. ### Features - **Keyword search** — find jobs by keyword, search term, or role - **Location filtering** — narrow results to specific cities, regions, or countries ### Use Cases - **Cross-platform job market overview** — aggregate listings from multiple sources in a single dataset - **Global recruitment aggregation analysis** — compare hiring patterns across US and international markets - **Salary benchmarking across sources** — collect salary data from diverse employers and industries - **Multi-region hiring trend tracking** — monitor job volume and role demand across different geographies ### Sample Input ```json { "mode": "search", "keywords": "software engineer", "location": "New York, NY", "jobType": "fulltime", "datePosted": "", "maxJobs": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ```` ### Sample Output ```json { "jobId": "sh-987654", "title": "Senior Software Engineer", "company": "Google", "location": "New York, NY", "salaryRange": "$150,000 - $200,000", "description": "Google is looking for a senior software engineer to work on cloud infrastructure...", "requirements": ["5+ years experience", "BS in Computer Science"], "applyUrl": "https://simplyhired.com/apply/987654", "postedDate": "2026-06-15", "source": "SimplyHired", "jobUrl": "https://simplyhired.com/job/987654", "scrapedAt": "2026-06-20T10:00:00.000Z", "companyRating": 4.5, "jobType": "Full Time", "salaryMin": 150000, "salaryMax": 200000, "salaryPeriod": "yearly" } ``` ### Input | Field | Type | Default | Required | Description | |-------|------|---------|----------|-------------| | `keyword` | string | `software engineer` | | Job search keyword (e.g., 'software engineer', 'data scientist', 'nurse'). | | `location` | string | `New York, NY` | | City, state, or zip code (e.g. 'New York, NY'). Leave empty for remote/all. | | `results_wanted` | integer | `20` | | Maximum number of job listings to collect. | | `proxyConfiguration` | object | `{"useApifyProxy":true,"apifyProxyGroups":["RESIDENTIAL"]}` | | Proxy settings. Residential proxy recommended for reliable access. | | `experienceLevel` | string | — | | Filter by minimum experience level: Entry Level, Mid Level, Senior Level, Executive, Director. | | `salaryMin` | integer | — | | Show only jobs paying at least this annual salary in USD. | | `salaryMax` | integer | — | | Maximum salary filter (in USD). Only show jobs paying at most this amount. | | `remoteFilter` | string | — | | Filter by work location type: Remote, Hybrid, On-site. | | `educationLevel` | string | — | | Filter by minimum education level: High School, Associate Degree, Bachelor's, Master's, Doctorate. | ### Output | Field | Description | |-------|-------------| | `jobId` | Unique job identifier | | `title` | Job title | | `company` | Company name | | `location` | Job location | | `salaryRange` | Salary range | | `description` | Full job description | | `requirements` | Job requirements | | `applyUrl` | Apply URL | | `sponsored` | Whether the listing is sponsored | | `postedDate` | Date the job was posted | | `source` | Source of the job listing | | `jobUrl` | Direct URL to the job listing | | `scrapedAt` | ISO timestamp when the job was scraped | | `companyRating` | Company rating | | `companyPageUrl` | Company page URL | | `jobType` | Type of job | | `salaryMin` | Minimum salary | | `salaryMax` | Maximum salary | | `salaryPeriod` | Salary period (yearly, hourly, etc.) | | `benefits` | List of benefits | | `remoteWork` | Remote work status | | `salary` | Salary information | | `skills` | Required skills | | `description_text` | Plain text description | | `job_type` | Job type | | `date_posted` | Date posted | | `url` | URL | ### Notes - **Proxy**: Residential proxy is highly recommended — set `proxyConfiguration: { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }` - **Rate limits**: Keep result limits reasonable per run to avoid IP bans - **Scheduling**: Use Apify Scheduler to run this actor on a recurring basis for a consistently fresh dataset # Actor input Schema ## `keyword` (type: `string`): Job search keyword (e.g., 'software engineer', 'data scientist', 'nurse'). ## `location` (type: `string`): City, state, or zip code (e.g. 'New York, NY', 'San Francisco, CA', '10001'). Leave empty for remote/all. ## `results_wanted` (type: `integer`): Maximum number of job listings to collect. ## `proxyConfiguration` (type: `object`): Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking. ## `experienceLevel` (type: `string`): Filter by minimum experience level required for the position. ## `salaryMin` (type: `integer`): Show only jobs paying at least this annual salary in USD ## `salaryMax` (type: `integer`): Maximum salary filter (in local currency). Only show jobs paying at most this amount. ## `remoteFilter` (type: `string`): Filter by work location type. ## `educationLevel` (type: `string`): Filter by minimum education level required. ## Actor input object example ```json { "keyword": "software engineer", "location": "New York, NY", "results_wanted": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" }, "experienceLevel": "", "remoteFilter": "", "educationLevel": "" } ``` # Actor output Schema ## `dataset` (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 = { "keyword": "software engineer", "location": "New York, NY", "results_wanted": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }; // Run the Actor and wait for it to finish const run = await client.actor("jobsapi/simplyhired-jobs-search-scraper").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 = { "keyword": "software engineer", "location": "New York, NY", "results_wanted": 20, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", }, } # Run the Actor and wait for it to finish run = client.actor("jobsapi/simplyhired-jobs-search-scraper").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 '{ "keyword": "software engineer", "location": "New York, NY", "results_wanted": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }' | apify call jobsapi/simplyhired-jobs-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jobsapi/simplyhired-jobs-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Simplyhired Jobs Search Scraper", "description": "Scrape job listings from SimplyHired, a global job search aggregator. Extract job titles, companies, locations, salary estimates, and job types for comprehensive job market analysis and recruitment research.", "version": "0.0", "x-build-id": "NhF9Exxzau11zP8Ac" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jobsapi~simplyhired-jobs-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jobsapi-simplyhired-jobs-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jobsapi~simplyhired-jobs-search-scraper/runs": { "post": { "operationId": "runs-sync-jobsapi-simplyhired-jobs-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jobsapi~simplyhired-jobs-search-scraper/run-sync": { "post": { "operationId": "run-sync-jobsapi-simplyhired-jobs-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keyword": { "title": "Keyword", "type": "string", "description": "Job search keyword (e.g., 'software engineer', 'data scientist', 'nurse').", "default": "software engineer" }, "location": { "title": "Location", "type": "string", "description": "City, state, or zip code (e.g. 'New York, NY', 'San Francisco, CA', '10001'). Leave empty for remote/all." }, "results_wanted": { "title": "Maximum jobs to scrape", "type": "integer", "description": "Maximum number of job listings to collect.", "default": 20 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }, "experienceLevel": { "title": "Experience Level", "enum": [ "", "entry", "mid", "senior", "executive", "director" ], "type": "string", "description": "Filter by minimum experience level required for the position.", "default": "" }, "salaryMin": { "title": "Minimum Annual Salary (USD)", "minimum": 0, "type": "integer", "description": "Show only jobs paying at least this annual salary in USD" }, "salaryMax": { "title": "Maximum Salary", "minimum": 0, "type": "integer", "description": "Maximum salary filter (in local currency). Only show jobs paying at most this amount." }, "remoteFilter": { "title": "Remote / On-site / Hybrid", "enum": [ "", "remote", "hybrid", "onsite" ], "type": "string", "description": "Filter by work location type.", "default": "" }, "educationLevel": { "title": "Education Level", "enum": [ "", "high_school", "associate", "bachelor", "master", "doctorate" ], "type": "string", "description": "Filter by minimum education level required.", "default": "" } } }, "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 } } } } } } } } } } ```