# Dice Jobs Scraper (`dami_studio/dice-jobs-scraper`) Actor Scrape public Dice jobs without login or cookies. Search keywords and locations, fetch direct job details, filter, paginate, deduplicate, and use residential fallback only after blocking. - **URL**: https://apify.com/dami\_studio/dice-jobs-scraper.md - **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community) - **Categories:** Jobs, Lead generation, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.90 / 1,000 dice 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 ## Dice Jobs Scraper Keyless Apify actor for collecting public Dice job listings and full job details. It supports keyword and location searches, direct Dice job URLs or IDs, filters, pagination, deduplication, and optional detail enrichment. ### Features - No Dice account, cookies, or API key required. - Direct public HTML requests first. - Residential Apify proxy fallback only after a direct `403`, CAPTCHA/access-denied signal, or rate limit. - Search multiple keywords and locations with bounded pagination. - Fetch direct job details by `/job-detail/{id}` URL or UUID. - Filter by posted date, workplace type, employment type, and Easy Apply. - Deduplicate by Dice job ID across queries, locations, and pages. - Empty input returns one labeled sample row and does not charge. - Invalid input, no results, blocks, parse failures, and network errors are explicit uncharged diagnostics. ### Input examples Search: ```json { "searchQueries": ["software engineer", "data scientist"], "locations": ["Remote", "Toronto, ON"], "postedDate": "7d", "maxItems": 100, "maxPagesPerSearch": 3, "includeDetails": true } ```` Direct details: ```json { "jobUrls": ["https://www.dice.com/job-detail/22d98626-8e02-4bf5-9a7e-5aa9729489cb"], "includeDetails": true } ``` ### Output Real rows include `jobId`, `title`, `company`, `location`, `workplaceType`, `employmentType`, `postedAt`, `description`, `url`, and search context. Detail fields are populated when `includeDetails` is enabled. Sample rows have `_sample: true`, `charged: false`. Diagnostics have `_diagnostic: true`, `ok: false`, and `charged: false`. ### Billing and cost controls The actor calls the `job` event only after a valid, real job row is written. Samples, diagnostics, duplicate listings, and no-result searches are not charged. The planned event price is `$0.0008/job`, below the observed `$0.001/job` benchmark for comparable job data. Residential fallback is intentionally opt-in by runtime condition, not used on normal direct traffic. Residential traffic can cost several dollars per GB and a blocked run may make multiple requests, so users should keep `maxProxyRetries`, `maxPagesPerSearch`, and `maxItems` bounded. At the planned price, proxy-heavy runs can become unprofitable when only a small number of jobs are returned; the actor exposes diagnostics rather than silently charging failed rows. ### Endpoint and maintenance risks Dice does not expose a documented public search API for this workflow. The actor parses server-rendered Dice HTML and uses the public `/jobs/q-{query}-jobs` and `/job-detail/{id}` routes. Dice may change selectors, route parameters, anti-bot controls, or response rendering. A selector change produces `PARSE_ERROR` diagnostics and should be caught by automated sample and live smoke tests before publication. CAPTCHA or access changes may require residential proxy traffic and can materially change margins. ### Diagnostic codes `BAD_INPUT`, `NO_RESULTS`, `BLOCKED`, `RATE_LIMITED`, `SERVER_ERROR`, `TIMEOUT`, `NETWORK`, and `PARSE_ERROR` are uncharged. Each diagnostic includes the stage and a short reason where available. ### Local development ```bash npm install npm test npm start ``` The test suite uses deterministic HTML fixtures. The release smoke should also run a real Dice search with a small `maxItems` value and no proxy first. # Actor input Schema ## `searchQueries` (type: `array`): Dice keywords or job titles. ## `locations` (type: `array`): Cities, states, countries, or Remote. ## `jobUrls` (type: `array`): Public Dice job-detail URLs to collect directly. ## `jobIds` (type: `array`): Dice job identifiers to collect directly. ## `postedDate` (type: `string`): Limit search results by their visible posting age. ## `workplaceType` (type: `string`): Limit results to remote, hybrid, or on-site roles. ## `employmentTypes` (type: `array`): Optional employment-type labels to retain. ## `easyApply` (type: `boolean`): Keep only jobs visibly marked for easy application. ## `includeDetails` (type: `boolean`): Open each job page to collect its full public description. ## `maxItems` (type: `integer`): Maximum number of unique jobs to return. ## `maxPagesPerSearch` (type: `integer`): Maximum result pages requested for each search. ## `maxProxyRetries` (type: `integer`): Maximum residential retries after a direct block. ## `requestTimeoutSecs` (type: `integer`): Maximum duration of each network request. ## `countryCode` (type: `string`): Optional ISO country code for residential fallback. ## `proxyConfiguration` (type: `object`): Optional Apify proxy configuration. By default, residential proxy is activated only after a direct block or rate limit. ## Actor input object example ```json { "searchQueries": [], "locations": [], "jobUrls": [], "jobIds": [], "postedDate": "any", "workplaceType": "any", "employmentTypes": [], "easyApply": false, "includeDetails": false, "maxItems": 100, "maxPagesPerSearch": 5, "maxProxyRetries": 2, "requestTimeoutSecs": 20, "countryCode": "" } ``` # Actor output Schema ## `results` (type: `string`): Results in the default dataset. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("dami_studio/dice-jobs-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 = {} # Run the Actor and wait for it to finish run = client.actor("dami_studio/dice-jobs-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 '{}' | apify call dami_studio/dice-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dami_studio/dice-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dice Jobs Scraper", "description": "Scrape public Dice jobs without login or cookies. Search keywords and locations, fetch direct job details, filter, paginate, deduplicate, and use residential fallback only after blocking.", "version": "0.1", "x-build-id": "CGhSLrR4zn3xU5MWQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~dice-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-dice-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dami_studio~dice-jobs-scraper/runs": { "post": { "operationId": "runs-sync-dami_studio-dice-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dami_studio~dice-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-dami_studio-dice-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Dice keywords or job titles.", "default": [], "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "Cities, states, countries, or Remote.", "default": [], "items": { "type": "string" } }, "jobUrls": { "title": "Direct job URLs", "type": "array", "description": "Public Dice job-detail URLs to collect directly.", "default": [], "items": { "type": "string" } }, "jobIds": { "title": "Direct job IDs", "type": "array", "description": "Dice job identifiers to collect directly.", "default": [], "items": { "type": "string" } }, "postedDate": { "title": "Posted date", "enum": [ "any", "today", "3d", "7d", "30d" ], "type": "string", "description": "Limit search results by their visible posting age.", "default": "any" }, "workplaceType": { "title": "Workplace", "enum": [ "any", "remote", "hybrid", "onsite" ], "type": "string", "description": "Limit results to remote, hybrid, or on-site roles.", "default": "any" }, "employmentTypes": { "title": "Employment types", "type": "array", "description": "Optional employment-type labels to retain.", "default": [], "items": { "type": "string" } }, "easyApply": { "title": "Easy Apply only", "type": "boolean", "description": "Keep only jobs visibly marked for easy application.", "default": false }, "includeDetails": { "title": "Fetch full details", "type": "boolean", "description": "Open each job page to collect its full public description.", "default": false }, "maxItems": { "title": "Maximum jobs", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of unique jobs to return.", "default": 100 }, "maxPagesPerSearch": { "title": "Pages per search", "minimum": 1, "maximum": 25, "type": "integer", "description": "Maximum result pages requested for each search.", "default": 5 }, "maxProxyRetries": { "title": "Residential retries", "minimum": 0, "maximum": 5, "type": "integer", "description": "Maximum residential retries after a direct block.", "default": 2 }, "requestTimeoutSecs": { "title": "Request timeout seconds", "minimum": 5, "maximum": 60, "type": "integer", "description": "Maximum duration of each network request.", "default": 20 }, "countryCode": { "title": "Proxy country code", "type": "string", "description": "Optional ISO country code for residential fallback.", "default": "" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify proxy configuration. By default, residential proxy is activated only after a direct block or rate limit." } } }, "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 } } } } } } } } } } ```