# Dice Scraper - Tech Jobs, Salaries & Company Data | $3/1K (`santamaria-automations/dice-scraper`) Actor
Extract 50,000+ tech jobs from Dice.com with 68 fields: salary (min/max), skills, full description, company HQ/employees/website/industry/recruiters, employment type, expiry date. Filter by keyword, location, remote. Includes company deduplication.
- **URL**: https://apify.com/santamaria-automations/dice-scraper.md
- **Developed by:** [Ale](https://apify.com/santamaria-automations) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $3.00 / 1,000 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 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 Scraper - US Tech & IT Jobs, Salaries & Descriptions
Extract tech and IT job listings from [Dice.com](https://www.dice.com) — the leading US job board for technology professionals with 50,000+ active listings. Get structured data including salaries, full job descriptions, company logos, employment types, skills, company profiles, and apply URLs. No code needed.
---
### What data can you extract?
Every job listing includes:
**Job details**
- Job title and unique ID
- Full description (plain text + raw HTML) with responsibilities, requirements, and qualifications
- Skills array extracted from job badges (e.g. JavaScript, Python, AWS, Docker)
- Salary: structured min/max + currency + period + display text (e.g. "$175,000 - $275,000/year")
- Employment type (FULL_TIME, CONTRACT, PART_TIME, THIRD_PARTY)
- Posting date, last modified date, and expiration date
- Direct apply URL
**Company details**
- Company name
- Company logo URL
- Company profile URL on Dice
**Company enrichment** (optional, via `includeCompanyInfo`)
- Headquarters location
- Employee count
- Company website
- Industry
- Company description
- Total active jobs on Dice
- Recruiters (name + title) from the company's team section
**Location**
- Full location string (e.g. "New York, NY, USA", "San Francisco, California, USA", "Remote")
**Meta**
- Source URL on Dice
- Which search query or URL found the job
- Scrape timestamp
---
### Pricing
| Event | Cost | Trigger |
|-------|------|---------|
| Actor start | **$0.001** | Once per run |
| Per job result | **$0.003** | Each job added to dataset |
**Examples:**
| Jobs | Cost |
|------|------|
| 10 jobs | $0.03 |
| 100 jobs | $0.30 |
| 1,000 jobs | $3.00 |
| 10,000 jobs | $30.00 |
Every job includes full description, salary, company info, and apply URL. No hidden fees, no monthly subscription.
---
### Use with AI Agents (MCP)
Connect this actor to any MCP-compatible AI client — Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or custom agents.
**Apify MCP server URL:**
````
https://mcp.apify.com?tools=santamaria-automations/dice-scraper
````
**Example prompts:**
> "Use `dice-scraper` to find remote Senior Software Engineer jobs. Return the top 20 as a table with title, company, salary, and location."
> "Use `dice-scraper` to extract all Python developer jobs in New York with salary above $150k."
> "Search Dice for DevOps engineer jobs and compare salaries across different cities."
---
### How to use
#### 1. Search URLs (recommended)
Go to [dice.com/jobs](https://www.dice.com/jobs), set up your filters (keyword, location, remote, date posted), and paste the URL. All filters are preserved automatically.
```json
{
"searchUrls": [
"https://www.dice.com/jobs?q=software+engineer&location=Remote",
"https://www.dice.com/jobs?q=data+engineer&location=New+York%2C+NY"
]
}
````
#### 2. Search Keywords
Enter one or more keywords. The scraper searches Dice and returns matching jobs.
```json
{
"searchQueries": ["python developer", "data engineer", "devops"],
"maxResultsPerQuery": 100
}
```
#### 3. Combining modes
Use both at once — results are deduplicated across all sources.
```json
{
"searchUrls": ["https://www.dice.com/jobs?q=react&location=Remote"],
"searchQueries": ["angular developer"],
"maxResults": 200
}
```
#### 4. With company enrichment
Enable `includeCompanyInfo` to fetch each company's profile page for HQ, employee count, website, industry, and recruiter contacts.
```json
{
"searchQueries": ["software engineer"],
"includeJobDetails": true,
"includeCompanyInfo": true,
"maxResults": 50
}
```
***
### Input reference
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `searchUrls` | string\[] | — | Pre-filtered search URLs from [dice.com/jobs](https://www.dice.com/jobs). |
| `searchQueries` | string\[] | — | One or more search keywords (e.g. "python developer"). |
| `includeJobDetails` | boolean | `true` | Fetch each job's detail page for full description, company name/logo, employment type, skills, and expiry date. |
| `includeCompanyInfo` | boolean | `false` | Fetch each company's profile page for HQ, employees, website, industry, description, total jobs, and recruiters. |
| `maxConcurrency` | integer | `5` | Number of detail pages to fetch in parallel (1-20). |
| `maxResultsPerQuery` | integer | `100` | Max results per search URL or keyword. |
| `maxResults` | integer | `10` | Total cap across all queries (0 = unlimited). |
| `proxyConfiguration` | object | Apify auto | Proxy settings. Datacenter proxies work great. |
***
### Output example
```json
{
"id": "966e4caa72977062b0875b3030b41e0d",
"title": "Senior Software Engineer",
"company": "Zions Bancorporation",
"company_logo_url": "https://d3qscgr6xsioh.cloudfront.net/abc123_transformed.png",
"company_url": "https://www.dice.com/company-profile/212cac11-535d-4978",
"location": "New York, NY, USA",
"salary_min": 175000,
"salary_max": 275000,
"salary_currency": "USD",
"salary_period": "year",
"salary_text": "USD 175,000.00 - 275,000.00 per year",
"skills": ["Java", "Python", "AWS", "Microservices", "Docker", "Kubernetes"],
"employment_type": "FULL_TIME",
"description_full": "About the Role\nWe are looking for a Senior Software Engineer to join our platform team.\n\nResponsibilities\n- Design and build scalable microservices\n- Mentor junior engineers\n- Drive technical architecture decisions\n\nRequirements\n- 5+ years experience with Java or Python\n- Experience with AWS/Azure cloud platforms\n- Strong understanding of distributed systems",
"description_html": "About the Role
We are looking for a Senior Software Engineer...",
"description_snippet": "We are looking for a Senior Software Engineer to join our platform team...",
"posted_at": "2026-05-01T08:00:00Z",
"modified_at": "2026-05-03T12:30:00Z",
"expires_at": "2026-06-05T08:00:00Z",
"source_url": "https://www.dice.com/job-detail/966e4caa-7297-7062-b087-5b3030b41e0d",
"source_platform": "dice.com",
"apply_url": "https://www.dice.com/job-detail/966e4caa-7297-7062-b087-5b3030b41e0d",
"search_query": "software engineer",
"scraped_at": "2026-05-05T14:30:00Z",
"company_hq": "Salt Lake City, UT, USA",
"company_employees": "10,000+",
"company_website": "https://careers.zionsbancorp.com/",
"company_industry": "Banking",
"company_description": "Zions Bancorporation is a leading financial services company...",
"company_total_jobs": 21,
"company_recruiters": [
{"name": "Gwen Trapp", "title": "Recruiter"},
{"name": "John Smith", "title": "Senior Technical Recruiter"}
]
}
```
***
### Use cases
#### Salary benchmarking
Dice publishes salary data for most tech roles. Aggregate salary ranges across titles, locations, and experience levels to build compensation intelligence for engineering teams.
#### Tech hiring monitoring
Track which companies are hiring for specific technologies. Run searches for "kubernetes", "rust", "machine learning" to see demand trends in real time.
#### Skills demand analysis
Use the extracted skills array to analyze which technologies are most in-demand across job listings. Track skill trends over time.
#### Recruitment automation
Feed job listings into your CRM, ATS, or spreadsheet via Apify's API, webhooks, or integrations. Build alerts for new jobs matching your criteria.
#### Competitor intelligence
Monitor competitor hiring activity by searching company names or tech stacks. Track when companies scale teams or open new locations. Use company enrichment to get recruiter contacts.
***
### Speed
| Jobs | ~Time | Memory |
|------|-------|--------|
| 10 | **~3 seconds** | ~16 MB |
| 100 | **~10 seconds** | ~16 MB |
| 1,000 | **~60 seconds** | ~20 MB |
| 10,000 | **~8 minutes** | ~25 MB |
With `includeJobDetails: false`, the actor is ~5x faster (API-only, no detail page fetching).
With `includeCompanyInfo: true`, add ~1-2 seconds per unique company (cached across duplicate companies).
***
### Integrations
This actor works with all Apify integrations:
- **API** — trigger runs and download results programmatically
- **Webhooks** — get notified when a run completes
- **Zapier & Make** — connect to 5,000+ apps
- **Google Sheets** — export directly to a spreadsheet
- **Slack, Email** — get notifications with results
***
### Related actors
- [Indeed Scraper](https://apify.com/santamaria-automations/indeed-scraper) — 60+ countries, salary & company enrichment
- [Built In Scraper](https://apify.com/santamaria-automations/builtin-scraper) — US tech jobs with company tech stack & culture
- [LinkedIn Jobs Scraper](https://apify.com/santamaria-automations/linkedin-jobs-scraper) — LinkedIn job listings
- [RemoteOK Scraper](https://apify.com/santamaria-automations/remoteok-scraper) — Remote-only job listings
***
Something not working? [Create an issue](https://console.apify.com/actors/fTAoCKhpdGP55FVw4/issues) and we'll fix it fast.
# Actor input Schema
## `searchUrls` (type: `array`):
Paste one or more Dice.com search URLs. Go to dice.com/jobs, set your filters (keyword, location, remote), and copy the URL. All filters are preserved automatically.
## `searchQueries` (type: `array`):
One or more search keywords (e.g. 'python developer', 'data engineer'). Each runs as a separate search. Results are deduplicated across queries.
## `includeJobDetails` (type: `boolean`):
Fetch each job's detail page for full description, company info, employment type, and skills. Slightly slower but provides much richer data.
## `includeCompanyInfo` (type: `boolean`):
Fetch each company's profile page for headquarters, employee count, website, industry, description, total jobs, and recruiters. Requires extra requests per unique company.
## `maxConcurrency` (type: `integer`):
Number of detail pages to fetch in parallel. Higher values are faster but use more resources.
## `maxResultsPerQuery` (type: `integer`):
Maximum results per search URL or keyword.
## `maxResults` (type: `integer`):
Total cap across all queries and search URLs. Set to 0 for unlimited.
## `proxyConfiguration` (type: `object`):
Proxy configuration. Default uses Apify datacenter proxies.
## Actor input object example
```json
{
"searchUrls": [
"https://www.dice.com/jobs?q=software+engineer"
],
"includeJobDetails": true,
"includeCompanyInfo": false,
"maxConcurrency": 5,
"maxResultsPerQuery": 100,
"maxResults": 10,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": []
}
}
```
# Actor output Schema
## `jobListings` (type: `string`):
Dataset containing scraped tech job listings. Each record includes: job title, company (name/logo/profile URL/HQ/employees/website/industry/description/total jobs/recruiters), skills array, salary (min/max/currency/period/text), full description (text + HTML), employment type (FULL\_TIME/CONTRACT), posting date, modified date, expiry date, location, apply URL, source URL.
# 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 = {
"searchUrls": [
"https://www.dice.com/jobs?q=software+engineer"
],
"includeJobDetails": true,
"includeCompanyInfo": false,
"maxConcurrency": 5,
"maxResultsPerQuery": 100,
"maxResults": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("santamaria-automations/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 = {
"searchUrls": ["https://www.dice.com/jobs?q=software+engineer"],
"includeJobDetails": True,
"includeCompanyInfo": False,
"maxConcurrency": 5,
"maxResultsPerQuery": 100,
"maxResults": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("santamaria-automations/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 '{
"searchUrls": [
"https://www.dice.com/jobs?q=software+engineer"
],
"includeJobDetails": true,
"includeCompanyInfo": false,
"maxConcurrency": 5,
"maxResultsPerQuery": 100,
"maxResults": 10
}' |
apify call santamaria-automations/dice-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=santamaria-automations/dice-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Dice Scraper - Tech Jobs, Salaries & Company Data | $3/1K",
"description": "Extract 50,000+ tech jobs from Dice.com with 68 fields: salary (min/max), skills, full description, company HQ/employees/website/industry/recruiters, employment type, expiry date. Filter by keyword, location, remote. Includes company deduplication.",
"version": "1.0",
"x-build-id": "sKU0VPwXi7ld5O1tu"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/santamaria-automations~dice-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-santamaria-automations-dice-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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/santamaria-automations~dice-scraper/runs": {
"post": {
"operationId": "runs-sync-santamaria-automations-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/santamaria-automations~dice-scraper/run-sync": {
"post": {
"operationId": "run-sync-santamaria-automations-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",
"properties": {
"searchUrls": {
"title": "Search URLs",
"type": "array",
"description": "Paste one or more Dice.com search URLs. Go to dice.com/jobs, set your filters (keyword, location, remote), and copy the URL. All filters are preserved automatically.",
"items": {
"type": "string"
}
},
"searchQueries": {
"title": "Search Keywords",
"type": "array",
"description": "One or more search keywords (e.g. 'python developer', 'data engineer'). Each runs as a separate search. Results are deduplicated across queries.",
"items": {
"type": "string"
}
},
"includeJobDetails": {
"title": "Include Job Details",
"type": "boolean",
"description": "Fetch each job's detail page for full description, company info, employment type, and skills. Slightly slower but provides much richer data.",
"default": true
},
"includeCompanyInfo": {
"title": "Include Company Info",
"type": "boolean",
"description": "Fetch each company's profile page for headquarters, employee count, website, industry, description, total jobs, and recruiters. Requires extra requests per unique company.",
"default": false
},
"maxConcurrency": {
"title": "Detail Page Concurrency",
"minimum": 1,
"maximum": 20,
"type": "integer",
"description": "Number of detail pages to fetch in parallel. Higher values are faster but use more resources.",
"default": 5
},
"maxResultsPerQuery": {
"title": "Max Results per Query",
"minimum": 1,
"type": "integer",
"description": "Maximum results per search URL or keyword.",
"default": 100
},
"maxResults": {
"title": "Max Total Results",
"minimum": 0,
"type": "integer",
"description": "Total cap across all queries and search URLs. Set to 0 for unlimited.",
"default": 10
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Proxy configuration. Default uses Apify datacenter proxies.",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": []
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```