# Dice Jobs Scraper - Low-costπŸ’²πŸ”₯πŸ’ΌπŸ” (`delectable_incubator/dice-jobs-scraper-low-cost`) Actor Scrape Dice job listings across the US πŸ’ΌπŸ” with a powerful tech job scraper. Extract job titles, companies, salaries, locations, posting dates, skills, and more from keyword-based searches. Ideal for recruitment intelligence, hiring trend analysis, salary benchmarking, and job market research πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/dice-jobs-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Lead generation, Jobs, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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

--- ## Dice Jobs Scraper πŸ’ΌπŸ“ŠπŸŒ The Dice Jobs Scraper is a powerful and scalable Apify Actor designed to extract structured job listings directly from Dice search results. It enables job market analysis, recruitment intelligence, salary benchmarking, lead generation, employment trend monitoring, candidate sourcing, and structured job dataset creation from one of the largest technology-focused job marketplaces. --- ### 🎯 What This Scraper Does Simply provide a Dice search configuration and the scraper handles everything automatically. βœ… Extracts job listings directly from Dice βœ… Supports keyword and location-based searches βœ… Filters jobs by publication period βœ… Supports custom search radius βœ… Handles pagination automatically βœ… Extracts company and job details βœ… Captures salary and employment information βœ… Detects remote and work-from-home opportunities βœ… Generates clean and structured datasets βœ… Ready for analytics, recruitment, and automation workflows βœ… Export-ready output format --- ### πŸ“Š Data Extracted #### πŸ’Ό Job Information | Field | Description | | -------------------- | ----------------------- | | πŸ†” `id` | Unique job identifier | | πŸ”‘ `guid` | Job GUID | | πŸ“› `title` | Job title | | 🏒 `companyName` | Company name | | πŸ”— `companyPageUrl` | Company profile URL | | πŸ–ΌοΈ `companyLogoUrl` | Company logo | | πŸ‘” `employmentType` | Employment type | | πŸ’° `salary` | Salary information | | πŸ“ `jobLocation` | Job location | | πŸ“… `postedDate` | Publication date | | 🌐 `detailsPageUrl` | Job details page | | πŸ“ `summary` | Job summary | | πŸš€ `easyApply` | Easy Apply availability | --- ### πŸ›  How to Use #### 1️⃣ Configure Input Provide your search criteria: ```` { "keyword": "Software development", "place": "New York", "published": "Last 3 days", "rayon": "30", "maxitems": 250 } ``` #### 2️⃣ Run the Actor β€’ Searches Dice job listings β€’ Applies keyword and location filters β€’ Processes search result pages automatically β€’ Extracts job and company information β€’ Collects salary and publication data β€’ Applies result limits β€’ Stops automatically when limits are reached #### 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "keyword": "Software development", "place": "New York", "published": "Last 3 days", "rayon": "30", "maxitems": 250 } ``` #### Input Fields | Field | Type | Description | | ----------- | ------- | ------------------------- | | `keyword` | string | Job search keyword | | `place` | string | City, state, or region | | `published` | string | Publication period filter | | `rayon` | integer | Search radius | | `maxitems` | integer | Maximum jobs to collect | --- ### πŸ“€ Output Example ``` { "id": "bc523955c883421ca9ed502383f22980", "guid": "9ad34696-1b9b-42a0-afc8-e58d3640ed7a", "title": "Principal Software Engineer", "companyName": "SQA Group", "companyPageUrl": "https://www.dice.com/company-profile/57a30224-dc96-5551-a6fa-d9f6b16e2d7b", "companyLogoUrl": "https://d3qscgr6xsioh.cloudfront.net/logo.png", "employmentType": "Contract", "salary": "$65 - $75", "jobLocation": "Remote", "postedDate": "Yesterday", "detailsPageUrl": "https://www.dice.com/job-detail/9ad34696-1b9b-42a0-afc8-e58d3640ed7a", "summary": "Principal Software Engineer position focused on React, .NET, GraphQL and Azure technologies.", "easyApply": true } ```` --- ### πŸ“Š Output Explanation | Use Case | Description | | --------------------------- | --------------------------------------- | | πŸ’Ό Recruitment Intelligence | Monitor hiring activity and demand | | πŸ“ˆ Job Market Analysis | Analyze employment trends and skills | | πŸ’° Salary Benchmarking | Compare compensation across roles | | 🎯 Lead Generation | Identify hiring companies | | πŸ€– Automation Pipelines | Feed jobs into dashboards and workflows | --- ### 🌍 Why Use This Scraper? πŸ’Ό Collect job listings at scale πŸ“ˆ Monitor hiring trends in real time 🏒 Analyze company recruitment activity πŸ’° Benchmark salaries and employment types 🌍 Discover remote and hybrid opportunities ⚑ Fast and automated extraction πŸ€– Automation-ready output πŸ“¦ Structured datasets for analytics 🧠 Ideal for recruiters, analysts, researchers, and job platforms πŸš€ Scalable for both small and enterprise workloads --- ### ❓ FAQ #### How does this scraper work? The scraper performs Dice searches based on your keyword and location criteria, then extracts structured job listing information directly from the search results. #### Can I search multiple job categories? Yes. Simply run multiple searches using different keywords. #### Does the scraper collect salary information? Yes. Salary information is extracted whenever it is available in the listing. #### Can I monitor new job postings over time? Yes. You can schedule recurring Apify runs to continuously track new opportunities. #### Does the scraper support remote jobs? Yes. Remote and work-from-home opportunities are captured whenever available. #### Is the data collected live? Yes. Data is extracted directly from Dice during every run. #### What export formats are supported? JSON, CSV, Excel, XML, and HTML. #### Can I use the extracted data commercially? Yes. The extracted data can be used for recruitment, analytics, lead generation, automation, and commercial applications. #### What happens if the scraper fails? The Actor includes retry mechanisms and automated error handling to improve reliability. #### How long does a run take? Most extractions complete within minutes depending on the search criteria and requested number of results. --- ### πŸš€ How to Use 1️⃣ Sign up β€” Create a free Apify account 2️⃣ Find the tool β€” Search for "Dice Jobs Scraper" in the Apify Store 3️⃣ Configure search criteria β€” Add keywords, locations, and filters 4️⃣ Run it β€” Start the Actor and wait for extraction 5️⃣ Export data β€” Download results in JSON, CSV, Excel, XML, or HTML --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Dice. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $0.98 / 1000 results --- ### Related Actors If you're interested in other Jobs, Recruitment, Lead Generation, Company Research, Analytics, or Data Collection scraping solutions, explore more tools: (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation. Contact us for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `keywords` (type: `array`): List of keywords or fields to search for job listings on Dice.com. The scraper will run a separate search for each keyword. Examples: β€’ software β€’ data engineer β€’ product manager β€’ marketing β€’ sales ## `place` (type: `string`): Specify the city where you want to find job listings on Dice.com. ## `maxItemsPerKeyword` (type: `integer`): Set the maximum number of job listings to scrape for EACH keyword. ## `published` (type: `string`): Filter jobs by publication date. ## `rayon` (type: `integer`): Select a value between 5 and 100 for the radius distance from the city. ## Actor input object example ```json { "keywords": [ "software", "data engineer" ], "place": "New York", "maxItemsPerKeyword": 50, "published": "Any date", "rayon": 50 } ```` # 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 = { "keywords": [ "software", "data engineer" ], "place": "New York", "maxItemsPerKeyword": 50, "published": "Any date", "rayon": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/dice-jobs-scraper-low-cost").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 = { "keywords": [ "software", "data engineer", ], "place": "New York", "maxItemsPerKeyword": 50, "published": "Any date", "rayon": 50, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/dice-jobs-scraper-low-cost").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 '{ "keywords": [ "software", "data engineer" ], "place": "New York", "maxItemsPerKeyword": 50, "published": "Any date", "rayon": 50 }' | apify call delectable_incubator/dice-jobs-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/dice-jobs-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dice Jobs Scraper - Low-costπŸ’²πŸ”₯πŸ’ΌπŸ”", "description": "Scrape Dice job listings across the US πŸ’ΌπŸ” with a powerful tech job scraper. Extract job titles, companies, salaries, locations, posting dates, skills, and more from keyword-based searches. Ideal for recruitment intelligence, hiring trend analysis, salary benchmarking, and job market research πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "z9mC9RX9jOpftPZf9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~dice-jobs-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-dice-jobs-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~dice-jobs-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-dice-jobs-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~dice-jobs-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-dice-jobs-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords", "maxItemsPerKeyword" ], "properties": { "keywords": { "title": "Keywords or fields to search for on Dice.com πŸ”πŸ’Ό", "type": "array", "description": "List of keywords or fields to search for job listings on Dice.com. The scraper will run a separate search for each keyword.\n\nExamples:\nβ€’ software\nβ€’ data engineer\nβ€’ product manager\nβ€’ marketing\nβ€’ sales", "default": [ "software", "data engineer" ], "items": { "type": "string" } }, "place": { "title": "City where you want to search for jobs on Dice.com πŸ™οΈπŸ’Ό", "type": "string", "description": "Specify the city where you want to find job listings on Dice.com.", "default": "New York" }, "maxItemsPerKeyword": { "title": "Maximum number of jobs per keyword πŸ“Š", "type": "integer", "description": "Set the maximum number of job listings to scrape for EACH keyword.", "default": 50 }, "published": { "title": "Select a published time option 🌍", "enum": [ "Any date", "Today", "Last 3 days", "Last 7 days" ], "type": "string", "description": "Filter jobs by publication date.", "default": "Any date" }, "rayon": { "title": "Radius distance from the city (miles) πŸŒπŸ“", "type": "integer", "description": "Select a value between 5 and 100 for the radius distance from the city.", "default": 50 } } }, "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 } } } } } } } } } } ```