# SimplyHired Scraper: Full Descriptions & Auto-Sync (`ahmed_jasarevic/simplyhired-scraper`) Actor Extract full job listings from SimplyHired automatically. The fastest tool for lead generation with full job descriptions, salary info, and automated session sync. - **URL**: https://apify.com/ahmed\_jasarevic/simplyhired-scraper.md - **Developed by:** [Ahmed Jasarevic](https://apify.com/ahmed_jasarevic) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## SimplyHired Cursor Sniper: Professional Job Lead Extractor The **SimplyHired Cursor Sniper** is a high-performance web scraping solution designed to extract comprehensive job market data from SimplyHired. Whether you are building a job board, conducting market research, or performing lead generation for recruitment, this tool provides clean, structured data in seconds. ### 🚀 Key Features * **Zero-Config Discovery:** No more manual searching for `buildId`. The scraper automatically syncs with SimplyHired's latest Next.js build. * **Deep Scan Technology:** Extracts full job descriptions, benefits, and qualifications by visiting individual job pages. * **Rich Data Attributes:** Captures salary info, company ratings, remote status, job types, and uncategorized tags. * **SEO & Lead Gen Ready:** Get clean JSON/Excel files ready for your CRM or database. * **Pay-Per-Result Pricing:** Only pay for what you scrape. --- ### 🛠️ How to Use 1. **Keyword:** Enter the job title or skill (e.g., `React Developer`). 2. **Location:** Specify the area (e.g., `Chicago`, `Remote`, `USA`). 3. **Deep Scan:** Toggle this **ON** if you need full job descriptions and benefit lists. 4. **Max Pages:** Choose how many pages you want to scan (1 page ≈ 20 jobs). 5. **Run:** Click the "Run" button and wait for your data. --- ### 📥 Input Example The scraper is designed to be user-friendly. You only need to provide the search criteria: ```json { "keyword": "web developer", "location": "remote", "max_pages": 1, "deepScan": true } ```` *** ### 📤 Output Example You will receive structured data. Here is a sample of a single job entry: ```json { "jobKey": "gplztaYfeAIvnw7B0o0_6GDw6qD8DR2FzwHDJxm7IDaJ8HpSbl9OpQ", "title": "Web/Remote based assistant", "company": "RD Projectone", "location": "Remote", "salaryInfo": "From $15 an hour", "jobTypes": "Part-time, Contract", "remoteAttributes": "Remote", "requirements": "Google Workspace, English, High school diploma or GED", "benefits": "Health insurance, Paid time off, 401(k)", "qualifications": "Experience with Google Docs, Excellent grammar", "uncategorized": "Website management, Google Sheets, Hourly pay", "snippet": "Client interaction, phone calls and emails...", "fullDescription": "Detailed job description text extracted via Deep Scan...", "companyPageUrl": "[https://www.simplyhired.com/browse-jobs/companies/Rd-Projectone](https://www.simplyhired.com/browse-jobs/companies/Rd-Projectone)", "url": "[https://www.simplyhired.com/job/gplztaYfeAIvnw7B0o0](https://www.simplyhired.com/job/gplztaYfeAIvnw7B0o0)...", "dateOnIndeed": 1774154145917, "scraped_at": "2026-04-10T10:00:00.000Z" } ``` *** ### 💎 Pricing & Limits - **Free Tier:** First **20 results** per run are completely free (including Deep Scan). - **Pro Tier:** Paid users get unlimited results based on their Apify budget. - **Unit Price:** $0.005 per result. ### ⚠️ Important Note This scraper uses automated session synchronization. While it is highly robust, we recommend using **Apify Proxies** for large-scale extractions to ensure maximum reliability and speed. *** # Actor input Schema ## `keyword` (type: `string`): Search (npr. web, react, python) ## `location` (type: `string`): Location (npr. remote, USA) ## `deepScan` (type: `boolean`): Include if you want full description for each job (much slower) ## `max_pages` (type: `integer`): How many pages you want to scrape ## Actor input object example ```json { "keyword": "web", "location": "remote", "deepScan": false, "max_pages": 1 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keyword": "web", "location": "remote", "max_pages": 1 }; // Run the Actor and wait for it to finish const run = await client.actor("ahmed_jasarevic/simplyhired-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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": "web", "location": "remote", "max_pages": 1, } # Run the Actor and wait for it to finish run = client.actor("ahmed_jasarevic/simplyhired-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": "web", "location": "remote", "max_pages": 1 }' | apify call ahmed_jasarevic/simplyhired-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ahmed_jasarevic/simplyhired-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SimplyHired Scraper: Full Descriptions & Auto-Sync", "description": "Extract full job listings from SimplyHired automatically. The fastest tool for lead generation with full job descriptions, salary info, and automated session sync.", "version": "0.0", "x-build-id": "V0ijrRNeISk3eq2l5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ahmed_jasarevic~simplyhired-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ahmed_jasarevic-simplyhired-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ahmed_jasarevic~simplyhired-scraper/runs": { "post": { "operationId": "runs-sync-ahmed_jasarevic-simplyhired-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ahmed_jasarevic~simplyhired-scraper/run-sync": { "post": { "operationId": "run-sync-ahmed_jasarevic-simplyhired-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keyword", "location" ], "properties": { "keyword": { "title": "Keyword", "type": "string", "description": "Search (npr. web, react, python)" }, "location": { "title": "Location", "type": "string", "description": "Location (npr. remote, USA)" }, "deepScan": { "title": "Deep Scan (Full Description)", "type": "boolean", "description": "Include if you want full description for each job (much slower)", "default": false }, "max_pages": { "title": "Max Pages", "minimum": 1, "type": "integer", "description": "How many pages you want to scrape" } } }, "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 } } } } } } } } } } ```