Dice Tech Jobs Scraper

Extract US tech job listings from Dice.com at scale — titles, companies, locations, parsed salaries, full descriptions, employer skill tags, remote and hybrid workplace flags, and direct apply links, for any keyword, location, or pasted Dice search URL. Built for recruiters, sourcers, and labor-market analysts who need Dice's tech-hiring feed as a clean spreadsheet, without paging through listings by hand.

Why This Scraper?

• 28 structured fields on every job — 5 compensation fields, 4 workplace-type fields, employer skill tags, HTML and plain-text descriptions, employer classification, and a direct apply link, all pre-parsed
• Salary broken out into 4 sortable fields — salaryMin, salaryMax, salaryCurrency and salaryPeriod alongside the raw string, and every extracted figure carries its pay period, so a $95/hour contract never lands in the same column as a $190,000 salary
• Full job descriptions on every row — the complete posting text from each job's own detail page, in both HTML and plain text, not the two-line search-results snippet
• The employer's own skill tags — the exact technology tags attached to each posting (Python, Kubernetes, Terraform, PostgreSQL), so you can measure stack-level demand without keyword-matching a wall of description text
• 8 structured filters, zero URL crafting — keyword, location, radius (1-100 miles), posted-within window, employment type, remote-only, easy-apply, and willing-to-sponsor are all proper input fields
• Visa-sponsorship filtering that genuinely narrows — switching willingToSponsor on typically cuts a broad keyword search to under a tenth of its listings, turning manual triage into a single run
• Re-listings never billed twice — Dice re-posts the same role across pages and under fresh IDs; identical copies are filtered out by content, not just by ID, and your result budget keeps going until it holds that many distinct jobs
• Employer type on every row — Direct Hire, Recruiter, or Other, exactly as Dice classifies it, so agency reposts drop out of a sourcing list with one filter

Use Cases

Recruiting & Sourcing

• Build candidate pipelines by tracking which companies are hiring for specific tech stacks in your region
• Identify staffing firms vs direct employers via the employerType field
• Spot easy-apply roles in seconds for high-volume sourcing campaigns

Lead Generation

• Surface companies actively hiring engineers — strong intent signal for B2B SaaS, recruiting tools, dev-tool vendors, and benefits providers
• Switch on the willing-to-sponsor filter to find employers open to international candidates and partner with immigration services
• Generate prospect lists of companies posting frequently in your category

Market & Compensation Research

• Track salary trends across cities, roles, and seniorities using parsed salaryMin/salaryMax
• Analyze remote-vs-hybrid-vs-onsite mix by location or employer
• Map demand for specific technologies (e.g. Rust, Kubernetes, LLMs) by volume and posted date

Job Aggregation & Niche Boards

• Power a tech-only or remote-only job board with fresh Dice listings
• Build niche aggregators (e.g. visa-sponsorship boards, contract-only boards, easy-apply boards) using the filter set
• Enrich existing job-board records with full descriptions and direct apply links

Academic & Labor-Market Research

• Build longitudinal datasets of tech-hiring activity by region and skill
• Study employer behavior around remote work, sponsorship, and contract employment
• Track posting volume against macro hiring trends

Getting Started

Simple Keyword Search

The fastest way to get started — one keyword, sensible defaults:

{
    "searchQueries": ["python developer"],
    "maxResultsPerQuery": 100
}

Filtered Search — Recent Remote Roles

Narrow down to fresh, remote, easy-apply jobs in a specific market:

{
    "searchQueries": ["data engineer", "machine learning engineer"],
    "location": "Austin, TX",
    "radiusMiles": 50,
    "postedWithinDays": "SEVEN",
    "employmentType": "FULLTIME",
    "remoteOnly": true,
    "easyApply": true,
    "maxResultsPerQuery": 200
}

Visa-Sponsorship Search

Surface only roles whose employers are willing to sponsor a work visa:

{
    "searchQueries": ["software engineer", "backend engineer"],
    "location": "New York, NY",
    "willingToSponsor": true,
    "postedWithinDays": "THREE",
    "maxResultsPerQuery": 150
}

Direct Dice URL + Keyword Combo

Already have a search tuned on the Dice website? Paste the URL alongside your own keywords for a mixed batch:

{
    "searchQueries": ["DevOps engineer"],
    "startUrls": [
        "https://www.dice.com/jobs?q=site+reliability+engineer&location=Seattle%2C+WA&filters.employmentType=CONTRACTS&filters.easyApply=true"
    ],
    "maxResultsPerQuery": 250
}

Input Reference

Search

Parameter	Type	Default	Description
searchQueries	string[]	["python developer"]	Job titles or keywords to search for, such as "python developer" or "data scientist". Each keyword runs a separate search.
location	string	""	Where to search for jobs. Enter a city, state, ZIP code, or "Remote". Example: "Austin, TX". Dice is US-only — locations outside the US fall back to nationwide results.
radiusMiles	integer	30	How far from the location to search, in miles (1-100). Ignored when location is empty.
startUrls	string[]	[]	Paste full Dice search result URLs (e.g. https://www.dice.com/jobs?q=...) to scrape them directly. Useful when you already have a search dialed in on the Dice website.

Filters & Limits

Parameter	Type	Default	Description
maxResultsPerQuery	integer	100	Maximum number of job listings to collect per search keyword (1-500). 500 is the most this scraper collects from any one search. Use a tighter location or filters to reach more unique jobs.
postedWithinDays	string	"" (Any time)	Only show jobs posted within this time period. Options: "Any time", "Last 24 hours" (ONE), "Last 3 days" (THREE), "Last 7 days" (SEVEN).
employmentType	string	"" (Any)	Filter by job type. Pick one or leave on "Any" for all types. Options: "Any", "Full-time" (FULLTIME), "Part-time" (PARTTIME), "Contract" (CONTRACTS), "Third-party" (THIRD_PARTY).
remoteOnly	boolean	false	Only show jobs marked remote / work-from-home.
easyApply	boolean	false	Only show jobs that support Dice's easy-apply flow.
willingToSponsor	boolean	false	Only show jobs whose employer is willing to sponsor work visas.

Advanced

Parameter	Type	Default	Description
fetchDescription	boolean	true	Collect the full job description from each listing's detail page. Leave on for the most complete data. Turn it off to make runs about 3x faster, but description, descriptionHtml and skills come back empty, and isExpired can no longer tell you whether a posting is still open. Either way, postings Dice has already closed are still returned and still count toward your result total.

Output

Each record is one job posting with the full set of structured fields:

{
    "jobId": "5b2d4f7c-9a3e-4d12-b7e8-1f0c2a9b8d54",
    "title": "Senior Python Developer",
    "company": "Acme Cloud Systems",
    "companyUrl": "https://www.dice.com/company-profile/97aa1566-053c-49e9-be3c-1ee6499511b5",
    "companyLogoUrl": "https://d3qscgr6xsioh.cloudfront.net/jLZGbw1aTAehDYuxFRDm_transformed.png?format=webp",
    "location": "Austin, Texas, USA",
    "postedDate": "2026-07-22T00:02:43Z",
    "modifiedDate": "2026-08-14T12:07:18Z",
    "salary": "$140,000 - $170,000 per year",
    "salaryMin": 140000,
    "salaryMax": 170000,
    "salaryCurrency": "USD",
    "salaryPeriod": "year",
    "employmentType": "Full-time",
    "employmentTypes": ["Full-time"],
    "isRemote": false,
    "workFromHomeAvailability": "No",
    "workplaceTypes": ["On-Site"],
    "easyApply": true,
    "employerType": "Direct Hire",
    "summary": "Build and scale data pipelines for a fast-growing fintech...",
    "description": "We're looking for a Senior Python Developer to join our platform team...",
    "descriptionHtml": "<p>We're looking for a Senior Python Developer...</p>",
    "skills": ["Python", "AWS", "Kubernetes", "PostgreSQL"],
    "isExpired": false,
    "jobUrl": "https://www.dice.com/job-detail/5b2d4f7c-9a3e-4d12-b7e8-1f0c2a9b8d54",
    "searchQuery": "python developer",
    "searchLocation": "Austin, TX",
    "scrapedAt": "2026-08-14T19:59:02Z"
}

A fully remote posting comes back in the same shape with "location": "Remote", "isRemote": true, "workFromHomeAvailability": "Yes" and "workplaceTypes": ["Remote"].

Job & Employer

Field	Type	Description
jobId	string	Dice's internal job identifier (GUID).
title	string	Job title, exactly as the employer wrote it.
company	string	Employer name.
companyUrl	string	Link to the employer's own Dice company profile page. Empty on the small share of rows where Dice publishes no profile for that employer.
companyLogoUrl	string	Employer logo image URL.
employerType	string | null	How Dice classifies the poster: "Direct Hire", "Recruiter", or "Other".
jobUrl	string	Public Dice detail URL for the job.

Location & Workplace

Field	Type	Description
location	string	City, state and country as Dice lists them, e.g. "Austin, Texas, USA". Fully remote postings carry no city on Dice, so these read "Remote".
isRemote	boolean	true if the job is remote-eligible.
workFromHomeAvailability	string	Work-from-home availability: "Yes" (remote), "Hybrid", or "No" (on-site). Always agrees with isRemote and workplaceTypes.
workplaceTypes	string[]	Workplace tags such as "Remote", "On-Site", "Hybrid".

Compensation

Field	Type	Description
salary	string	Raw salary string exactly as shown on Dice, e.g. "$120k", "$60-80/hour", "Depends on Experience".
salaryMin	number | null	Minimum compensation, when the format is clean enough to read with confidence. Always paired with a salaryPeriod.
salaryMax	number | null	Maximum compensation, on the same pay period as salaryMin.
salaryCurrency	string | null	ISO 4217 currency code, e.g. "USD".
salaryPeriod	string | null	"hour", "day", "week", "month", or "year". Never null when salaryMin has a value, so hourly contract rates always sort apart from annual salaries.

Employment Type & Dates

Field	Type	Description
employmentType	string	Comma-joined employment types as Dice displays them, e.g. "Full-time, Contract".
employmentTypes	string[]	The same data pre-split into an array for easier filtering.
easyApply	boolean	Whether the job supports Dice's easy-apply flow.
postedDate	string	ISO 8601 timestamp of when the posting was first listed.
modifiedDate	string	ISO 8601 timestamp of the last time the posting was updated.

Description & Skills

Field	Type	Description
summary	string	Short summary as shown on the search-results card.
description	string	Full job description with HTML stripped, ideal for plain-text indexing or LLM input.
descriptionHtml	string	Full description with the original HTML preserved.
skills	string[]	The skill tags the employer attached to the posting, e.g. ["Python", "Kubernetes", "Terraform"]. Arrives with the description, so leave fetchDescription on. Empty [] when the employer tagged none, or when fetchDescription is off.
isExpired	boolean	true when the employer has closed the posting. Dice keeps closed jobs in its search results, so a small share of every run is no longer open — between 0% and 1.3% of rows across our test runs. The full description is still collected, so you keep the row for market analysis and can filter it out for applications, and it counts toward your result total like any other row. Shown in the default output table. Only determined when fetchDescription is on; with it off every row reads false.

Run Provenance

Field	Type	Description
searchQuery	string	The keyword that surfaced this row.
searchLocation	string	The location used for the search.
scrapedAt	string	ISO 8601 timestamp of when the record was captured.

Tips for Best Results

• Use specific keywords — "senior react developer" returns far cleaner results than "developer", because Dice ranks broad terms loosely. The keyword also drives how dense the skills column comes back: a specific role phrase like "business development manager" carries employer tags on around 98% of matches, while a broad phrase like "security clearance" thins out the deeper it goes and can land nearer 45%. Tighten the keyword when you need those tags dense, and leave fetchDescription on, since the tags arrive with the description.
• Split broad searches instead of raising the cap — every single search stops at 500 jobs no matter how many matches exist. Splitting a broad query into narrower ones by city, role or seniority, then running them as one batch, reaches far more unique jobs than one wide query ever will.
• Batch related titles in one run — put several variants in searchQueries (e.g. ["backend engineer", "platform engineer", "infrastructure engineer"]) and duplicates are removed across queries automatically, so you are never billed twice for the same posting. A run that finishes under your cap means the search genuinely ran out of unique jobs, and the final message says so explicitly.
• Set postedWithinDays: "ONE" for fresh listings — ideal for daily candidate-sourcing pipelines or new-job alerting.
• Combine remoteOnly with a metro location — Dice returns remote roles whose employers are headquartered in or hiring for that metro, which is what you want for time-zone or compliance-aware searches.
• Check the isExpired column before a list goes to candidates — Dice keeps closed postings in its search results, so a small share of every run is a job that no longer accepts applications: 0% to 1.3% of rows across our test runs. Those rows still arrive with the full description, they show up flagged in the default output table, and they count toward your result total like every other row. Keep them for market analysis, drop them for outreach.
• Group by salaryPeriod before averaging anything — Dice mixes hourly contract rates and annual salaries in one column, and the mix swings hard between searches. salaryPeriod is always filled whenever salaryMin is, so grouping on it is safe. Free-text values like "Depends on Experience" leave the parsed fields null while the raw salary string is always preserved.

Pricing

From $0.80 per 1,000 results — one flat rate per job returned, whatever filters you use. No compute or time-based charges: you pay per result, plus a small fixed start fee each time a run begins. Bronze, Silver, and Gold subscribers pay progressively less, and the table below shows the total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.096	$0.091	$0.085	$0.080
1,000	$0.96	$0.91	$0.85	$0.80
10,000	$9.60	$9.10	$8.50	$8.00
100,000	$96.00	$91.00	$85.00	$80.00

A "result" is one job row in your dataset, including the small share of postings Dice has already closed — those arrive flagged as expired so you can filter them out. Standard Apify platform fees apply on top. No monthly rental, no tiered plans.

Integrations

Export data in JSON, CSV, Excel, or XML. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Get notified when a run completes
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate recruiting, market research, lead generation, and labor-market analysis. Only public job listings are collected — no private employer dashboards, applicant data, or personal contact details. Users are responsible for complying with applicable laws and Dice's Terms of Service. Do not redistribute scraped listings as a substitute for Dice's own product, and do not use collected data for spam, harassment, candidate impersonation, or any unlawful purpose.