# Dice Jobs Scraper (`jungle_synthesizer/dice-scraper`) Actor Scrape job listings from Dice.com — the tech-focused job board. Search by keyword, location, employment type, and date posted. Extracts structured data including job title, company, salary, location, skills, description, and apply links for tech recruiting and market analysis. - **URL**: https://apify.com/jungle\_synthesizer/dice-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Jobs, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Dice Jobs Scraper Scrape job listings from [Dice.com](https://www.dice.com) — the leading tech job board in the US. Search by keyword, location, employment type, and posting date. Returns structured job data for tech recruiting, market analysis, and job research. ### What data does this scraper extract? Each job listing record includes: | Field | Description | |-------|-------------| | `job_id` | Dice job GUID | | `job_url` | Link to the job detail page | | `title` | Job title | | `company_name` | Hiring company | | `company_logo_url` | Company logo image URL | | `employment_type` | Full-time, Contract, etc. | | `employer_type` | Direct Hire, Recruiter, etc. | | `location_city` | City | | `location_state` | State | | `location_country` | Country | | `location_display` | Human-readable location | | `is_remote` | Remote work available | | `workplace_types` | Remote, On-Site, Hybrid | | `salary` | Salary range as listed | | `summary` | Job excerpt from listing page | | `description_html` | Full job description HTML (when `scrapeDetails` is enabled) | | `posted_date` | ISO 8601 date posted | | `modified_date` | ISO 8601 date last modified | | `easy_apply` | One-click apply available | | `scraped_at` | Scrape timestamp | ### How to use 1. Set your **Search Query** (e.g. `software engineer`, `python developer`, `data scientist`) 2. Set your **Location** (e.g. `New York`, `United States`, `Remote`) 3. Optionally filter by **Employment Type** and **Posted Date** 4. Set **Max Items** to control how many listings to return 5. Toggle **Scrape Full Job Description** to fetch the complete job description HTML ### Input parameters - **query** — Search keyword(s). Default: `software engineer` - **location** — Location filter. Default: `United States` - **employmentType** — Optional: `FULLTIME`, `PARTTIME`, `CONTRACT`, `THIRD_PARTY` - **postedDate** — Optional: `ONE_DAY`, `THREE_DAYS`, `SEVEN_DAYS`, `THIRTY_DAYS` - **scrapeDetails** — Whether to visit each job's detail page for the full description. Default: `true` - **maxItems** — Maximum number of job records to return ### Notes - Dice.com lists technology jobs in the US market. The search can return tens of thousands of results for common queries. - When `scrapeDetails: true`, the actor visits each job's detail page to fetch the full `description_html`. This adds one HTTP request per job but returns significantly richer data. - Set `scrapeDetails: false` for listing-only runs that only need summary data — faster and lower cost. - Salary data is only available when the employer discloses it on Dice. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `query` (type: `string`): Job search keyword(s) (e.g. "software engineer", "python developer") ## `location` (type: `string`): Location to search (city, state, or "United States" for nationwide) ## `employmentType` (type: `string`): Filter by employment type (FULLTIME, PARTTIME, CONTRACT, THIRD_PARTY, or leave blank for all) ## `postedDate` (type: `string`): Filter by how recently the job was posted ## `scrapeDetails` (type: `boolean`): When enabled, visits each job's detail page to fetch the full description HTML. Adds one request per job. Disable for faster listing-only runs. ## `maxItems` (type: `integer`): Maximum number of job listings to return ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "query": "software engineer", "location": "United States", "scrapeDetails": true, "maxItems": 10 } ```` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "query": "software engineer", "location": "United States", "employmentType": "", "postedDate": "", "scrapeDetails": true, "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/dice-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "query": "software engineer", "location": "United States", "employmentType": "", "postedDate": "", "scrapeDetails": True, "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/dice-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "query": "software engineer", "location": "United States", "employmentType": "", "postedDate": "", "scrapeDetails": true, "maxItems": 10 }' | apify call jungle_synthesizer/dice-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/dice-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dice Jobs Scraper", "description": "Scrape job listings from Dice.com — the tech-focused job board. Search by keyword, location, employment type, and date posted. Extracts structured data including job title, company, salary, location, skills, description, and apply links for tech recruiting and market analysis.", "version": "0.1", "x-build-id": "yptzgA6SRB1O9hSoi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~dice-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-dice-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/jungle_synthesizer~dice-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-dice-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/jungle_synthesizer~dice-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-dice-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": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "query": { "title": "Search Query", "type": "string", "description": "Job search keyword(s) (e.g. \"software engineer\", \"python developer\")" }, "location": { "title": "Location", "type": "string", "description": "Location to search (city, state, or \"United States\" for nationwide)" }, "employmentType": { "title": "Employment Type", "enum": [ "", "FULLTIME", "PARTTIME", "CONTRACT", "THIRD_PARTY" ], "type": "string", "description": "Filter by employment type (FULLTIME, PARTTIME, CONTRACT, THIRD_PARTY, or leave blank for all)" }, "postedDate": { "title": "Posted Date Filter", "enum": [ "", "ONE_DAY", "THREE_DAYS", "SEVEN_DAYS", "THIRTY_DAYS" ], "type": "string", "description": "Filter by how recently the job was posted" }, "scrapeDetails": { "title": "Scrape Full Job Description", "type": "boolean", "description": "When enabled, visits each job's detail page to fetch the full description HTML. Adds one request per job. Disable for faster listing-only runs." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of job listings to return", "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 } } } } } } } } } } ```