# Dice Tech Jobs Scraper — IT Jobs, Salary & Remote API (`bovi/dice-jobs-scraper`) Actor Scrape tech job postings from Dice.com via the public search API. Get title, company, location, salary, remote type, seniority, employer type, easy-apply flag and sponsor flag. Multi-query batch, keyword filters, zero auth, zero proxy. - **URL**: https://apify.com/bovi/dice-jobs-scraper.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.90 / 1,000 job 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 ## Dice Tech Jobs Scraper | $0.90/1K — Salary + Visa Sponsor Data For tech recruiters targeting H1B/OPT candidates, data teams benchmarking US tech salaries, and job aggregators building US tech boards. **Pricing: $0.90/1,000 jobs** — flat per-result; salary, remote type and the visa-sponsor flag are all included, with no add-on fees. Dice.com is the #1 US tech job board with 90,000+ live listings. Unlike generic scrapers, you get **structured salary ranges** and a **willing-to-sponsor visa flag** — both rare in job data. **No login, no proxy.** Scrape tech job postings from **Dice.com** using the public search API. Get structured data on 90,000+ live US tech jobs with no auth, no proxy, and no browser required. ### What you get One dataset row per job posting with 22 fields: | Field | Description | |---|---| | `job_id` | Dice internal job hash | | `title` | Job title | | `company` | Company name | | `location` | Full location display name | | `city` / `state` / `country` | Location components | | `remote_type` | `remote` / `hybrid` / `onsite` (inferred from authoritative `workFromHomeAvailability` flag) | | `seniority` | `senior` / `mid` / `lead` / `manager` / etc. (inferred from title) | | `salary` | Salary string (e.g. `USD 120,000 - 150,000 per year`) | | `employment_type` | `Full-time`, `Part-time`, `Contract`, etc. | | `employer_type` | `Direct Hire` or `Recruiter` | | `easy_apply` | One-click Dice Easy Apply available | | `willing_to_sponsor` | Employer willing to sponsor a work visa | | `posted_at` | ISO 8601 posting date | | `url` | Direct link to the Dice job detail page | | `summary` | ~500-char job description teaser | | `global_id` | Stable `dice:` identifier for deduplication | | `parse_confidence` | Quality score 0.0–1.0 (our differentiator — no competitor has this) | | `warnings` | List of data-quality warnings | ### Why this scraper - **Dice-specific**: unlike generic job scrapers, targets the 90k+ Dice US tech job database directly. - **Authoritative remote flag**: Dice provides `workFromHomeAvailability` as a boolean — no guessing from location text. - **Salary data**: Dice consistently populates structured salary ranges (USD min–max format). - **Recruiter vs. Direct Hire**: `employer_type` tells you if you're talking to the hiring company or an agency. - **Visa sponsor flag**: unique to Dice — great for filtering H1B/OPT-eligible roles. - **Easy Apply flag**: know before you scrape whether one-click apply is available. - **parse_confidence**: every row includes a quality score — catch API changes before they break your pipeline. - **Zero cost infra**: public API, no proxy, no auth, $0 COGS. ### Input ```json { "searchQueries": ["python developer", "data engineer"], "location": "San Francisco, CA", "maxItems": 200, "sort": "relevance", "workFromHome": false, "employmentType": "FULLTIME", "postedDate": "ONE_WEEK" } ```` | Parameter | Default | Description | |---|---|---| | `searchQueries` | required | One or more keyword queries | | `location` | blank (US-wide) | Location filter string | | `countryCode` | `US` | 2-letter ISO country code | | `maxItems` | 100 | Total jobs cap (0 = unlimited) | | `sort` | `relevance` | `relevance` or `date` | | `workFromHome` | `false` | API-level remote filter | | `employmentType` | blank | `FULLTIME` / `PARTTIME` / `CONTRACTS` / `THIRD_PARTY` | | `postedDate` | blank | `ONE_DAY` / `THREE_DAYS` / `ONE_WEEK` / `TWO_WEEKS` / `ONE_MONTH` | | `titleKeyword` | blank | Post-fetch title substring filter | | `locationKeyword` | blank | Post-fetch location substring filter | | `remoteOnly` | `false` | Post-fetch: keep only `remote_type=remote` | | `easyApplyOnly` | `false` | Post-fetch: keep only Easy Apply jobs | | `willingToSponsorOnly` | `false` | Post-fetch: keep only sponsor-willing jobs | ### Pricing example | Run | Jobs returned | Cost | |---|---|---| | Trial (1 query, 100-cap default) | 100 | $0.09 | | 1,000 jobs (2 queries) | 1,000 | $0.90 | | 10,000 jobs | 10,000 | $9.00 | Pay per result. You are charged per job pushed to the dataset. ### Use cases - **Tech recruiters**: source candidates from live Dice listings at scale. - **Market intelligence**: salary benchmarks, demand by skill, remote vs. on-site ratios. - **Job aggregators**: pull fresh US tech jobs daily with structured salary + remote data. - **Research**: employer type distribution (direct hire vs recruiter), sponsor rates by company. ### Output sample ```json { "job_id": "abc12345xyz", "title": "Senior Python Developer", "company": "Acme Corp", "location": "San Francisco, CA", "remote_type": "remote", "seniority": "senior", "salary": "USD 140,000 - 175,000 per year", "employment_type": "Full-time", "employer_type": "Direct Hire", "easy_apply": true, "willing_to_sponsor": false, "posted_at": "2026-06-01T14:00:00+00:00", "url": "https://www.dice.com/job-detail/abc12345xyz", "parse_confidence": 1.0, "scraped_at": "2026-06-05T10:00:00+00:00" } ``` ### FAQ **Do I need an API key or proxy?** No. Dice's public search API requires no login or proxy. **What formats can I export?** JSON, CSV, Excel, or JSONL — from the Apify dataset UI or REST API. **Can I filter to visa-sponsor-only jobs?** Yes — set `willingToSponsorOnly: true`. Only rows where Dice marks the employer as willing to sponsor are returned. **What if a query returns 0 results?** The actor logs the query as returning no results and continues — no crash, no charge for that query. ### Notes - Dice.com is a US-focused tech job board; most results are US-based. - The `summary` field is a ~500-char teaser. Full job description HTML requires a logged-in session and is not available without auth. - Skills are not returned as a structured array by the public API; they appear in the title and summary text. - `parse_confidence=1.0` means all mandatory fields (id, title, company, location, url, date) were present and parsed cleanly. ### Use with AI agents (MCP) This actor is available via Apify's MCP server. Connect it to any MCP-compatible agent (Claude, n8n, Make) to pull live Dice tech job data on demand — no code required. ``` https://mcp.apify.com/?tools=bovi/dice-jobs-scraper ``` ### Vs. competitors | Feature | This actor | Indeed scraper | LinkedIn scraper | |---|---|---|---| | Salary (structured range) | Yes | Partial | Rarely | | Visa sponsor flag | Yes (unique to Dice) | No | No | | Recruiter vs Direct Hire | Yes | No | No | | Easy Apply flag | Yes | No | No | | `parse_confidence` | Yes | No | No | | Zero auth | Yes | Yes | No (needs cookie) | | US tech focus | Yes (90K+ jobs) | Generic | Generic | | Price | $0.90/1K | $3–5/1K | $5–10/1K | *This actor is not affiliated with or endorsed by Dice.com or DHI Group, Inc.* ### Integrations Built for tech recruiters and salary-benchmarking teams extracting structured US tech job listings with pay and visa fields — the JSON/dataset output drops into the tools you already run, no glue code: - **n8n / Make / Zapier** — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: [n8n](https://docs.apify.com/platform/integrations/n8n), [Make](https://docs.apify.com/platform/integrations/make), [Zapier](https://docs.apify.com/platform/integrations/zapier). - **Webhooks** — fire your own endpoint the moment a run finishes, to push results straight into your pipeline ([docs](https://docs.apify.com/platform/integrations/webhooks)). - **MCP server** — expose this actor as a tool to Claude, Cursor, or any [MCP client](https://mcp.apify.com) so an AI agent can pull this data mid-conversation ([guide](https://blog.apify.com/how-to-use-mcp/)). - **API & SDKs** — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs. See all [Apify integrations](https://apify.com/integrations). # Actor input Schema ## `searchQueries` (type: `array`): One or more keyword queries to run on Dice.com. Examples: "python developer", "data engineer", "devops aws". Each query runs independently and results are combined. ## `location` (type: `string`): Optional location string to narrow results. Examples: "New York, NY", "San Francisco, CA", "Austin, TX". Leave blank for US-wide results. ## `countryCode` (type: `string`): 2-letter ISO country code. Default "US". Dice is primarily US-focused. ## `maxItems` (type: `integer`): Maximum total jobs to return across all queries. Default 100 keeps trial runs cheap. Set to 0 for unlimited. ## `sort` (type: `string`): "relevance" returns best-match jobs first. "date" returns newest jobs first. ## `workFromHome` (type: `boolean`): When enabled, filter to jobs where Dice marks workFromHomeAvailability=TRUE. ## `employmentType` (type: `string`): Filter by employment type. Leave blank for all types. Options: FULLTIME, PARTTIME, CONTRACTS, THIRD\_PARTY. ## `postedDate` (type: `string`): Filter to jobs posted within this window. Leave blank for all dates. ## `titleKeyword` (type: `string`): Keep only jobs whose title contains this text (case-insensitive). Applied after fetching. Example: "senior". Leave blank to return all titles. ## `locationKeyword` (type: `string`): Keep only jobs whose location contains this text (case-insensitive). Applied after fetching. Example: "Texas". Leave blank for all locations. ## `remoteOnly` (type: `boolean`): Post-fetch filter: keep only jobs where remote\_type='remote'. Use workFromHome for API-level filtering; use this for stricter check after enrichment. ## `easyApplyOnly` (type: `boolean`): Keep only jobs where Dice's Easy Apply is enabled (one-click application). ## `willingToSponsorOnly` (type: `boolean`): Keep only jobs where the employer indicates willingness to sponsor a visa. ## `proxyConfiguration` (type: `object`): Apify proxy used for all requests. Defaults to the Apify RESIDENTIAL group for reliable access from the cloud. Billed to the run owner. ## Actor input object example ```json { "searchQueries": [ "python developer", "data engineer" ], "countryCode": "US", "maxItems": 100, "sort": "relevance", "workFromHome": false, "employmentType": "", "postedDate": "", "remoteOnly": false, "easyApplyOnly": false, "willingToSponsorOnly": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing Dice Jobs Scraper records (title, company, location, remote\_type, seniority, salary, employment\_type, easy\_apply, willing\_to\_sponsor, posted\_at, url, parse\_confidence). # 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 = { "searchQueries": [ "python developer", "data engineer" ] }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/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 = { "searchQueries": [ "python developer", "data engineer", ] } # Run the Actor and wait for it to finish run = client.actor("bovi/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 '{ "searchQueries": [ "python developer", "data engineer" ] }' | apify call bovi/dice-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/dice-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dice Tech Jobs Scraper — IT Jobs, Salary & Remote API", "description": "Scrape tech job postings from Dice.com via the public search API. Get title, company, location, salary, remote type, seniority, employer type, easy-apply flag and sponsor flag. Multi-query batch, keyword filters, zero auth, zero proxy.", "version": "0.1", "x-build-id": "jhVoeZ38Y0dko6kgI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bovi~dice-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bovi-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bovi~dice-jobs-scraper/runs": { "post": { "operationId": "runs-sync-bovi-dice-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bovi~dice-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-bovi-dice-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 / keywords", "type": "array", "description": "One or more keyword queries to run on Dice.com. Examples: \"python developer\", \"data engineer\", \"devops aws\". Each query runs independently and results are combined.", "items": { "type": "string" } }, "location": { "title": "Location filter", "type": "string", "description": "Optional location string to narrow results. Examples: \"New York, NY\", \"San Francisco, CA\", \"Austin, TX\". Leave blank for US-wide results." }, "countryCode": { "title": "Country code", "type": "string", "description": "2-letter ISO country code. Default \"US\". Dice is primarily US-focused.", "default": "US" }, "maxItems": { "title": "Max items total", "minimum": 0, "type": "integer", "description": "Maximum total jobs to return across all queries. Default 100 keeps trial runs cheap. Set to 0 for unlimited.", "default": 100 }, "sort": { "title": "Sort order", "enum": [ "relevance", "date" ], "type": "string", "description": "\"relevance\" returns best-match jobs first. \"date\" returns newest jobs first.", "default": "relevance" }, "workFromHome": { "title": "Remote jobs only", "type": "boolean", "description": "When enabled, filter to jobs where Dice marks workFromHomeAvailability=TRUE.", "default": false }, "employmentType": { "title": "Employment type filter", "enum": [ "", "FULLTIME", "PARTTIME", "CONTRACTS", "THIRD_PARTY" ], "type": "string", "description": "Filter by employment type. Leave blank for all types. Options: FULLTIME, PARTTIME, CONTRACTS, THIRD_PARTY.", "default": "" }, "postedDate": { "title": "Posted date filter", "enum": [ "", "ONE_DAY", "THREE_DAYS", "ONE_WEEK", "TWO_WEEKS", "ONE_MONTH" ], "type": "string", "description": "Filter to jobs posted within this window. Leave blank for all dates.", "default": "" }, "titleKeyword": { "title": "Title keyword filter", "type": "string", "description": "Keep only jobs whose title contains this text (case-insensitive). Applied after fetching. Example: \"senior\". Leave blank to return all titles." }, "locationKeyword": { "title": "Location keyword filter", "type": "string", "description": "Keep only jobs whose location contains this text (case-insensitive). Applied after fetching. Example: \"Texas\". Leave blank for all locations." }, "remoteOnly": { "title": "Remote only (post-fetch filter)", "type": "boolean", "description": "Post-fetch filter: keep only jobs where remote_type='remote'. Use workFromHome for API-level filtering; use this for stricter check after enrichment.", "default": false }, "easyApplyOnly": { "title": "Easy Apply only", "type": "boolean", "description": "Keep only jobs where Dice's Easy Apply is enabled (one-click application).", "default": false }, "willingToSponsorOnly": { "title": "Visa sponsor only", "type": "boolean", "description": "Keep only jobs where the employer indicates willingness to sponsor a visa.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy used for all requests. Defaults to the Apify RESIDENTIAL group for reliable access from the cloud. Billed to the run owner.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```