Dice Jobs Scraper

Extract US tech job listings from Dice.com, titles, companies, full descriptions, salaries, skills, locations, and direct apply URLs. Search by keyword and location, or scrape specific job pages.

✨ Why use this scraper?

• 🔍 Flexible search: Query by keyword, location, workplace type, employment type, and more
• 📄 Full job descriptions: Get complete HTML job descriptions, not just summaries
• 💵 Salary data: Parsed salary ranges with min, max, and currency
• 🛠️ Skills extraction: Structured list of required skills per job
• 🌐 Apply URLs: Direct links to application forms, not just Dice redirect pages
• 📍 Precise location: City, state, postal code, latitude, and longitude

🎯 Use cases

Industry	Application
Recruiting & Staffing	Source qualified tech candidates by skill, location, and experience level
Job Aggregators	Build or enrich job boards with fresh Dice listings
Market Research	Analyze tech job demand, salary trends, and in-demand skills
Compensation Benchmarking	Compare salary ranges across roles, companies, and locations
Competitive Intelligence	Monitor which companies are hiring and at what volume
Data Science	Build datasets for NLP models, labor market analysis, or career tools

📥 Input parameters

URL Scraping

Parameter	Type	Description
startUrls	array	List of Dice.com URLs to scrape, job search result pages or individual job detail pages

Search

Parameter	Type	Description
query	string	Job title, skill, or keyword (e.g. software engineer, Python, DevOps)
location	string	City, state, or area to filter by (e.g. New York, NY, Austin, TX)

Sorting & Filtering

Parameter	Type	Default	Description
sort	string	relevance	Sort results by relevance or datePosted
workplaceTypes	array	-	Filter by Remote, On-Site, or Hybrid
employmentType	array	-	Filter by FULLTIME, PARTTIME, CONTRACTS, or THIRD_PARTY
employerType	array	-	Filter by Direct Hire or Recruiter
postedDate	string	any	Only jobs posted within ONE (24h), THREE (3 days), or SEVEN (7 days)
easyApply	boolean	false	Only return jobs with one-click Easy Apply
willingToSponsor	boolean	false	Only return jobs from visa-sponsoring employers

Limits

Parameter	Type	Default	Description
maxItems	integer	50	Maximum number of jobs to return

Advanced

Parameter	Type	Default	Description
requestTimeout	integer	30	Timeout in seconds for each request
debugMode	boolean	false	Enable verbose logging

📊 Output data

Job example

{
  "id": "0dbac690-adc5-4e5d-bbaa-013ae7bb5899",
  "url": "https://www.dice.com/job-detail/0dbac690-adc5-4e5d-bbaa-013ae7bb5899",
  "title": "Specialty Software Engineer",
  "companyName": "Randstad Digital",
  "companyLogo": "https://media.dice.com/logos/randstad-digital.png",
  "descriptionHtml": "<p>job summary:</p><p>We are looking for an experienced Software Engineer...</p>",
  "skills": ["Java", "Spring Boot", "Microservices", "AWS"],
  "employmentType": "CONTRACTS",
  "employerType": "Recruiter",
  "workplaceTypes": ["On-Site"],
  "location": "New York, NY",
  "city": "New York",
  "state": "NY",
  "country": "US",
  "postalCode": "10001",
  "latitude": "40.75205",
  "longitude": "-73.994514",
  "remote": false,
  "onsite": true,
  "hybrid": false,
  "salaryRaw": "USD89 - USD94",
  "salaryMin": 89,
  "salaryMax": 94,
  "salaryCurrency": "USD",
  "easyApply": false,
  "willingToSponsor": false,
  "applyUrl": "https://www.randstadusa.com/jobs/4/1324598/specialty-software-engineer",
  "applyType": "ExternalApply",
  "datePosted": "2026-02-28T18:00:49.000Z",
  "dateUpdated": "2026-02-28T18:00:49.000Z",
  "dateDeactivated": "2026-04-03T18:00:49.000Z",
  "summary": "We are looking for an experienced Software Engineer to join our team...",
  "scrapedAt": "2026-03-03T21:59:55Z"
}

🗂️ Data fields

Category	Fields
Identity	id, url
Job	title, summary, descriptionHtml, skills
Company	companyName, companyLogo
Employment	employmentType, employerType, workplaceTypes
Location	location, city, state, country, postalCode, latitude, longitude
Work mode	remote, onsite, hybrid
Salary	salaryRaw, salaryMin, salaryMax, salaryCurrency
Application	applyUrl, applyType, easyApply, willingToSponsor
Dates	datePosted, dateUpdated, dateDeactivated
Meta	scrapedAt

🚀 Examples

Search for remote Python jobs

{
  "query": "Python developer",
  "workplaceTypes": ["Remote"],
  "employmentType": ["FULLTIME"],
  "maxItems": 100
}

Find recently posted contract roles in Austin

{
  "query": "DevOps engineer",
  "location": "Austin, TX",
  "employmentType": ["CONTRACTS"],
  "postedDate": "SEVEN",
  "sort": "datePosted",
  "maxItems": 50
}

Scrape jobs from a specific search URL

{
  "startUrls": [
    { "url": "https://www.dice.com/jobs?q=machine+learning&location=San+Francisco" }
  ],
  "maxItems": 200
}

Get a single job by URL

{
  "startUrls": [
    { "url": "https://www.dice.com/job-detail/0dbac690-adc5-4e5d-bbaa-013ae7bb5899" }
  ]
}

💻 Integrations

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run_input = {
    "query": "software engineer",
    "location": "New York",
    "workplaceTypes": ["Remote", "Hybrid"],
    "employmentType": ["FULLTIME"],
    "maxItems": 100,
}

run = client.actor("YOUR_USERNAME/dice-scraper-ppe").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], "-", item["companyName"], "-", item.get("salaryRaw", "N/A"))

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('YOUR_USERNAME/dice-scraper-ppe').call({
    query: 'software engineer',
    location: 'New York',
    workplaceTypes: ['Remote', 'Hybrid'],
    employmentType: ['FULLTIME'],
    maxItems: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(job => {
    console.log(`${job.title} @ ${job.companyName}, ${job.salaryRaw || 'salary N/A'}`);
});

📈 Performance & limits

Metric	Value
Jobs per page	20
Typical speed	~5 jobs / 6 seconds
Max results per search	~10,000 (Dice.com limit)
Login required	No
Rate limits	None observed

💡 Tips for best results

1. Use filters to narrow results: Dice.com can return thousands of jobs, combine query, location, workplaceTypes, and postedDate filters to get the most relevant listings.
2. Sort by date for freshness: Set sort: "datePosted" and postedDate: "SEVEN" to always get the latest postings.
3. Skills are per-job: Each job includes its own skills array extracted from the job detail, great for building candidate matching tools.
4. Apply URLs are direct: The applyUrl field links directly to the employer's application page, bypassing Dice's redirect layer.
5. Use startUrls for precise control: Paste any Dice search URL directly to scrape exactly the results you filtered in the browser.
6. dateDeactivated shows posting expiry: Use this to detect when a job will no longer be active and clean your dataset accordingly.

❓ FAQ

Q: Does this scraper require a Dice.com account? A: No. All data is publicly accessible without login.

Q: Can I scrape remote-only jobs? A: Yes, set workplaceTypes: ["Remote"] to filter for remote positions only.

Q: How fresh is the data? A: The scraper fetches live data directly from Dice.com on every run. Results reflect what's currently published on the site.

Q: What is dateDeactivated? A: This is the date Dice.com will stop showing the job posting. It helps you track how long each listing will remain active.

Q: Can I scrape a specific company's jobs? A: Yes, search for the company name in the query field, or paste a Dice search URL filtered by company into startUrls.

Q: What does applyType mean? A: It indicates how to apply, ExternalApply links to the employer's site, EasyApply uses Dice's one-click system, and Email provides an email address.

📬 Support

We're building this scraper for you, your feedback makes it better for everyone!

• 🐛 Found a bug? Open an issue directly on this actor's page, we'll fix it fast
• 💡 Need a feature? Tell us what's missing and we'll prioritize it
• ⚙️ Custom solutions: Contact us for enterprise integrations or high-volume needs

We respond to every issue, usually within 24 hours. Don't hesitate, even small suggestions help!