Dice.com Job Scraper — Tech Jobs, Salary, Skills & Companies

Collect Dice.com technology and IT job postings as clean, structured data. Search by keyword and location, filter by posted date or workplace type, or paste job URLs — every matching job comes back with a full record: title, company, location, remote/on‑site, employment type, salary range, required skills, posted date, application deadline and the complete job description.

Built for tech recruiters, staffing agencies, job seekers, salary and market analysts, and data teams who need Dice job data in JSON, CSV or Excel instead of paging through search results by hand.

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✨ Why use this scraper

• Full job records, not just titles — each job includes company, structured location, salary, skills, employment type, posted date, deadline and the complete description.
• Tech‑skill tags — the specific skills each role asks for (Python, AWS, Kubernetes, React …), ready for filtering and matching.
• Structured salary — minimum, maximum and currency where the employer publishes it, plus the raw salary text.
• Powerful targeting — search any keyword, scope to a city, state or Remote, and filter by posted date or workplace type.
• Deep pagination — collect hundreds or thousands of jobs per keyword, not just the first page.
• Direct job lookups — already have a list of Dice job URLs or IDs? Paste them in and get full records back.
• Clean, typed output — numbers as numbers, booleans as booleans, skills as arrays — ready for spreadsheets, databases and BI tools.
• Export anywhere — JSON, CSV, Excel, HTML or via the Apify API and integrations.

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🚀 Quick start

1. Enter one or more search keywords (for example Python Developer, Java, DevOps Engineer).
2. (Optional) Set a location (New York, Texas, Remote).
3. (Optional) Filter by posted date and workplace type.
4. Set Maximum jobs and click Start.

The scraper paginates the search, collects every matching job, and (by default) enriches each one with its full description, skills and salary.

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📥 Input

Field	Type	Description
Search keywords (searchQueries)	array	Job keywords — role, skill, technology or company. Each keyword is searched and paginated.
Location (location)	string	Optional location applied to every keyword — a US city, state, or Remote.
Posted date (postedDate)	select	Keep only jobs posted within Past 24 hours, Past 3 days, Past 7 days, or Any.
Workplace type (workplaceType)	select	Keep only Remote, Hybrid, On-Site, or Any.
Job URLs (jobUrls)	array	Dice job‑detail URLs or GUIDs to scrape directly.
Enrich with full job details (includeJobDetails)	boolean	Add full description, skills, structured salary and deadline. On by default.
Maximum jobs (maxItems)	integer	Maximum number of job records to save. Default 100.
Concurrent detail requests (maxConcurrency)	integer	How many detail pages to fetch in parallel. Recommended 6–10.
Proxy configuration (proxyConfiguration)	object	Apify Proxy is recommended for reliable access.

Example 1 — role in a city

{
  "searchQueries": ["Python Developer"],
  "location": "New York",
  "maxItems": 200
}

Example 2 — remote jobs posted this week

{
  "searchQueries": ["Data Engineer", "Machine Learning"],
  "workplaceType": "Remote",
  "postedDate": "Past 7 days",
  "maxItems": 300
}

Example 3 — fast listing pull (no detail enrichment)

{
  "searchQueries": ["Java", "Golang", "Rust"],
  "includeJobDetails": false,
  "maxItems": 500
}

Example 4 — specific jobs

{
  "jobUrls": [
    "https://www.dice.com/job-detail/209494b1-644d-416f-b9e6-d0c5c1b70bbb"
  ]
}

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📤 Output

Each job is one dataset item. Example (fields trimmed for readability):

{
  "guid": "b93fcb85-0d3f-445b-a611-7ff48a9ecc18",
  "title": "Senior Python Developer",
  "companyName": "Apex Systems",
  "companyProfileId": "a1d7df75-e170-5701-a217-...",
  "location": "Jersey City, New Jersey, USA",
  "city": "Jersey City",
  "state": "NJ",
  "postalCode": "07097",
  "country": "US",
  "isRemote": false,
  "workplaceTypes": ["On-Site"],
  "employmentType": "Full-time",
  "salary": "$68 - $73",
  "salaryMin": 68,
  "salaryMax": 73,
  "salaryCurrency": "USD",
  "skills": ["Python", "SQL", "RESTful", "Microservices", "AngularJS"],
  "postedDate": "2026-08-24T09:43:01Z",
  "modifiedDate": "2026-08-24T09:43:01Z",
  "validThrough": "2026-09-23T21:06:41.000Z",
  "easyApply": true,
  "applyType": "Internal",
  "employerType": "Direct Hire",
  "summary": "Senior Python Developer needed for a capital-markets platform...",
  "description": "Full job description text, cleaned to readable plain text...",
  "companyLogoUrl": "https://d3qscgr6xsioh.cloudfront.net/....png?format=webp",
  "companyProfileUrl": "https://www.dice.com/company-profile/a1d7df75-...",
  "url": "https://www.dice.com/job-detail/b93fcb85-0d3f-445b-a611-7ff48a9ecc18",
  "detailEnriched": true,
  "sourceMode": "search",
  "scrapedAt": "2026-08-24T10:05:44.000Z"
}

Field reference

Job

Field	Description
guid	Unique Dice job identifier.
title	Job title.
summary	Short description snippet from the search results.
description	Full job description (from the detail page, cleaned to plain text). Requires detail enrichment.
skills	Array of skills the role asks for. Requires detail enrichment.
url	Canonical job‑detail URL.

Company

Field	Description
companyName	Hiring company.
companyProfileId	Dice company profile ID.
companyProfileUrl	Link to the company profile on Dice.
companyLogoUrl	Company logo image.
employerType	Employer type (for example Direct Hire, Recruiter).

Location & work model

Field	Description
location	Display location.
city, state, postalCode, country	Structured location (postalCode/country from detail enrichment).
isRemote	Whether the job is remote.
workplaceTypes	Array such as Remote, Hybrid, On-Site.

Compensation & terms

Field	Description
employmentType	Full‑time, Contract, Third Party, etc.
salary	Raw salary text as shown on Dice.
salaryMin, salaryMax, salaryCurrency	Structured salary range when published.
easyApply	Whether Dice Easy Apply is available.
applyType	Application type (Internal / External).

Dates & meta

Field	Description
postedDate, modifiedDate	When the job was posted / last modified.
validThrough	Application deadline when published.
detailEnriched	Whether full detail was fetched for this record.
sourceMode	How the job was found (search, direct).
scrapedAt	ISO timestamp of the scrape.

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💡 Use cases

• Recruiters & staffing agencies — monitor demand for roles and skills, benchmark competitors' postings, and build sourcing lists by company and location.
• Job seekers — track new postings for your stack the moment they appear, with salary and deadline in one place.
• Salary & compensation analysts — aggregate salaryMin/salaryMax by role, skill, city and employment type to build up‑to‑date pay benchmarks.
• Market & talent intelligence — measure hiring trends, remote‑vs‑on‑site mix, and which skills are rising across the tech market.
• Competitive intelligence — see who is hiring, for what, and where — a live signal of a company's roadmap and growth.
• ATS / CRM feeds — pipe structured jobs into applicant‑tracking systems, dashboards and lead tools.
• Researchers & data teams — build clean datasets of the US tech labor market for analysis and modeling.

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🎯 Filters & tips

• Be specific. Senior Python Developer returns more relevant results than Python. Combine role + seniority + stack for tight targeting.
• Use several keywords. Each keyword is paginated independently, so a handful of related terms (React, Vue, Angular) covers a segment quickly.
• Scope by location. Set a city, a state, or Remote. Leave it blank to search nationwide.
• Filter by recency. Use Past 24 hours for a daily fresh‑jobs feed, or Past 7 days for a weekly sweep.
• Turn off enrichment for speed. If you only need titles, companies, locations and the search snippet, set includeJobDetails to false for a faster, lighter run — then re‑run with enrichment on the jobs you care about.
• Filter after export. Pull a wide net, then filter on skills, salaryMin, employmentType, isRemote or state in your spreadsheet or database.

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📈 Getting more results

• Each keyword is paginated deeply, so a single keyword can return hundreds of jobs. Raise Maximum jobs to collect more.
• Add more keywords to widen coverage — by role, by technology, or by company name.
• Combine location and filters to slice the market precisely (for example remote data‑engineering jobs posted this week).

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🔍 Popular searches to try

Use these as starting points in Search keywords — mix roles, stacks and seniority to match exactly what you need.

By role

• Software Engineer, Senior Software Engineer, Full Stack Developer
• Data Engineer, Data Scientist, Machine Learning Engineer
• DevOps Engineer, Site Reliability Engineer, Platform Engineer
• Cloud Architect, Solutions Architect, Security Engineer
• Business Analyst, Project Manager, Scrum Master
• QA Engineer, Automation Engineer, Mobile Developer

By technology / stack

• Languages: Python, Java, JavaScript, TypeScript, Go, Rust, C#, Scala
• Frontend: React, Angular, Vue, Next.js
• Cloud & infra: AWS, Azure, Google Cloud, Kubernetes, Terraform, Docker
• Data & AI: Snowflake, Databricks, Spark, LLM, Generative AI, PyTorch
• Security: Cybersecurity, Penetration Tester, SOC Analyst, IAM

By clearance / arrangement

• Remote (with the Workplace type filter), Contract, Corp to Corp, W2
• Security Clearance, TS/SCI, Public Trust

Tip: combine a role and a stack (Senior Java AWS) for tightly targeted results, and set Posted date to Past 24 hours for a daily fresh‑jobs feed.

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🧩 What you can build with the data

• A live salary benchmark — aggregate salaryMin/salaryMax by role, skill and city, refreshed on a schedule.
• A skills‑demand tracker — count how often each skill appears in skills over time to see what the market is asking for.
• A recruiting pipeline — feed new postings by company and location straight into your CRM or ATS.
• A job‑alert product — run Past 24 hours searches on a schedule and notify users the moment a matching role appears.
• A competitive hiring dashboard — track which companies are posting, for what roles, and where.
• A remote‑work index — measure the share of Remote, Hybrid and On-Site roles across the tech market.

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🔌 Run it your way

• Apify Console — fill in the form and click Start.
• API — start runs and pull the dataset programmatically.
• Scheduler — run hourly or daily to keep a fresh jobs feed.
• Integrations — push results to Google Sheets, Zapier, Make, webhooks, Slack, S3 and more.

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❓ FAQ

How many jobs can I collect? As many as you need. Each keyword is paginated, so you can pull hundreds or thousands of jobs across several keywords in one run.

Do I get the full job description? Yes, when Enrich with full job details is on (the default). Each job's page is opened to add the full description, skills, structured salary and application deadline. Turn it off for a faster, listing‑only run.

Are salaries always included? Only when the employer publishes them. Many tech postings show a range, some show "Depends on Experience", and some show none — the scraper returns whatever is available in salary, salaryMin and salaryMax.

Can I filter by remote or posted date? Yes. Use the Workplace type and Posted date filters. You can also filter the exported dataset on isRemote, workplaceTypes and postedDate.

Which region does Dice cover? Dice focuses on the United States technology job market. Use US proxies for the most complete results.

Can I re‑scrape specific jobs? Yes. Save the url or guid of jobs you follow and pass them back in Job URLs to refresh their status, salary and deadline.

In what format is the data? Structured JSON by default, exportable to CSV, Excel, HTML and more.

Can I run it on a schedule? Yes — use the Apify Scheduler for recurring runs, or start runs through the Apify API and its integrations.

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⚖️ Legal & responsible use

This tool collects publicly available job‑posting information for legitimate business use such as recruitment, market research and salary analysis. You are responsible for how you use the data and for complying with all applicable laws and regulations, the website's terms, and data‑protection rules (including GDPR/CCPA where relevant). Do not use the output to infringe intellectual‑property rights or for any unlawful purpose. This scraper is not affiliated with, endorsed by, or connected to Dice or its parent company; all trademarks belong to their respective owners.

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Tags

dice · dice scraper · dice.com · tech jobs · it jobs · job scraper · job listings · job postings · tech recruiting · salary data · tech skills · remote jobs · staffing · talent intelligence · labor market data