Dice Jobs Scraper — Dice.com Job Listings Extractor
Pricing
from $3.00 / 1,000 scraped job listings
Dice Jobs Scraper — Dice.com Job Listings Extractor
Scrape Dice.com tech job listings by keyword, location, radius, employment type, and work setting. Get salary, visa sponsorship, easy apply flags, and job summaries. Checkpoint resume on abort. No login. *Scraped Job Result** | **$3.00 / 1,000 job
Pricing
from $3.00 / 1,000 scraped job listings
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🎯 Dice Jobs Scraper — Live Tech & IT Career Data
Extract Tech Job Listings, Verified Salaries, Visa Sponsorship, Remote Flags & Direct Links from Dice.com
The ultimate Dice.com Job Scraper on Apify. Extract high-paying tech and IT job listings from Dice.com with zero effort. Filter by keyword, location, search radius, employment type, remote/hybrid status, salary range, and posting date — and receive clean, structured data ready for analysis or recruitment pipelines.
💡 Why Choose Pay-Per-Result Over Fixed Subscriptions?
Most job board scrapers force you into $29 to $49 recurring monthly subscriptions, charging you the full monthly fee even if you only need a few hundred job listings.
With our Pay-As-You-Go model, you get maximum flexibility, transparent pricing, and zero waste:
| Feature | Standard Monthly Scrapers | Dice Jobs Scraper |
|---|---|---|
| Pricing Model | $29 – $49 / month (recurring) | Only $3.00 per 1,000 jobs ($0.003 / job) |
| Start Cost | Full monthly charge | Only $0.02 setup per run |
| Commitment | Forced monthly subscription | Zero subscription — Pay only for what you scrape |
| Small Tasks | Pay full $30–$50 even for 50 jobs | Scrape 100 jobs? Pay only ~$0.32! |
| Specialized Data | Generic job fields only | Tech specialty, salary ranges, visa sponsorship & easy apply flags |
| Budget Safety | Unpredictable credit waste | Built-in budget protection (maxTotalChargeUsd) |
💰 Transparent Pay-As-You-Go Pricing
Enjoy fair, result-based pricing with no hidden charges and zero monthly commitments:
| Service | Price | Details |
|---|---|---|
| Run Initialization | $0.02 | Flat setup fee charged once per run. |
| Scraped Job Result | $3.00 / 1,000 jobs (Only $0.003 per job) | Charged only when a job listing is successfully extracted and saved. |
🛡️ Guaranteed Budget Protection: You can specify your maximum spending limit (
maxTotalChargeUsd) directly in the Apify task settings. The scraper automatically monitors your usage and stops gracefully before exceeding your limit.
📊 What Data You Get
Every job listing scraped from Dice.com returns a rich, structured dataset:
💼 Career & Compensation Details
- Role Title & Employer: Full job title, company name, direct company page link, and company logo URL.
- Salary & Compensation: Exact salary range, hourly rate, or compensation terms when disclosed by employers (e.g.,
$149,000 - $186,000 per yearor$75/hr). - Workplace Type:
Remote,Hybrid, orOn-Sitestatus with full work-from-home availability flags. - Job Identifiers: Direct Dice.com job detail URLs, internal job IDs, and client brand identifiers.
🎯 Key Hiring & Candidate Filters
- Visa Sponsorship Flag (
willing_to_sponsor): Instantly identify companies willing to sponsor work visas (H-1B, etc.). - Easy Apply Flag (
easy_apply): Filter jobs allowing 1-click applications. - Employer Classification:
Direct Hire,Recruiter,Staffing, orOther. - Full Job Description (
summary): Clean, formatted job summary up to 3,000 characters. - Posting Timestamps: Exact
posted_dateandmodified_datein ISO 8601 UTC.
🌟 Real Scraped Output Examples
Here is the exact data structure extracted from real live runs:
Example 1: High-Compensation Enterprise Role (FanDuel)
{"title": "Data Science Manager","company": "FanDuel","company_page_url": "https://www.dice.com/company/10490201","company_logo_url": "https://prod-file-upload-store.s3.amazonaws.com/Monograms/F.png","location": "Jersey City, New Jersey, USA","posted_date": "2026-07-27T21:04:51Z","modified_date": "2026-09-22T10:05:14Z","details_page_url": "https://www.dice.com/job-detail/29aa86a4-0833-4165-acdb-98f83da113a6","salary": "USD 149,000.00 - 186,000.00 per year","employment_type": null,"clientBrandId": "10490201","summary": "THE POSITION Our roster has an opening with your name on it. We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems...","job_id": "aa6b33318937db87fc1b9031a4a3d8ba","score": 12190.635,"easy_apply": false,"willing_to_sponsor": false,"employer_type": "Direct Hire","work_from_home_availability": "FALSE","is_remote": false,"guid": "29aa86a4-0833-4165-acdb-98f83da113a6","workplace_types": ["On-Site"],"scraped_at": "2026-09-22T15:15:32.381857Z"}
Example 2: Remote AI Contractor Role (Dice Talent & Staffing)
{"title": "AI Training Expert Data Science - (Contract - Remote)","company": "Dice Talent & Staffing Solutions","company_page_url": "https://www.dice.com/company/dicects","company_logo_url": "https://d3qscgr6xsioh.cloudfront.net/rLEQwrbLSoCE0XVshA8y_transformed.png?format=webp","location": "USA","posted_date": "2026-07-31T17:25:11Z","modified_date": "2026-09-17T17:31:34Z","details_page_url": "https://www.dice.com/job-detail/d5593fd2-692f-47c1-aa8d-e20e9ae9594d","salary": "$75 - $75","employment_type": null,"clientBrandId": "dicects","summary": "Data Science, AI Trainer AI Training Expert Data Science (Contract, Remote) About the Role: Dice.com is seeking experienced data science professionals to join a 12-week AI training sprint...","job_id": "5346716a28c5bf4cf43cf6ee82d0ecba","score": 8963.553,"easy_apply": true,"willing_to_sponsor": false,"employer_type": "Other","work_from_home_availability": "FALSE","is_remote": true,"guid": "d5593fd2-692f-47c1-aa8d-e20e9ae9594d","workplace_types": ["Remote"],"scraped_at": "2026-09-22T15:15:32.580007Z"}
Example 3: Top Fintech Engineering Role (Plaid)
{"title": "Data Science Manager - Fraud","company": "Plaid","company_page_url": "https://www.dice.com/company/91134212","company_logo_url": null,"location": "New York, New York, USA","posted_date": "2026-09-14T10:02:09Z","modified_date": "2026-09-22T09:52:05Z","details_page_url": "https://www.dice.com/job-detail/47557d71-bd4b-4f78-ab21-193257be5dde","salary": "USD 216,000.00 - 329,400.00 per year","employment_type": null,"clientBrandId": "91134212","summary": "We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use...","job_id": "45df5280568ed1db3a53d9bb7c23e16f","score": 5987.75,"easy_apply": false,"willing_to_sponsor": false,"employer_type": "Direct Hire","work_from_home_availability": "FALSE","is_remote": false,"guid": "47557d71-bd4b-4f78-ab21-193257be5dde","workplace_types": ["On-Site"],"scraped_at": "2026-09-22T15:15:32.885463Z"}
📋 Output Fields Description
| Field | Type | Description |
|---|---|---|
title | string | Official job title. |
company | string | Hiring organization or agency name. |
company_page_url | string | Full URL to company profile on Dice.com. |
company_logo_url | string | Direct link to company logo image. |
location | string | Job location (City, State, Country). |
posted_date | string | Original posting date (ISO 8601 UTC). |
modified_date | string | Last modification/refresh date. |
details_page_url | string | Direct link to view and apply for the job on Dice.com. |
salary | string | Disclosed salary or hourly compensation range. |
employment_type | string | Full-time, Part-time, Contract, or Third Party. |
clientBrandId | string | Dice employer brand identifier. |
summary | string | Full job overview and requirements. |
job_id | string | Unique internal job identifier. |
score | float | Search relevance score from Dice. |
easy_apply | boolean | true if Easy Apply is supported. |
willing_to_sponsor | boolean | true if employer offers visa sponsorship. |
employer_type | string | Direct Hire, Recruiter, or Staffing. |
is_remote | boolean | true if role is 100% remote. |
workplace_types | array | ["Remote"], ["Hybrid"], or ["On-Site"]. |
scraped_at | string | Timestamp of extraction. |
🚀 How It Works in 3 Simple Steps
[1. Set Search Query] ➔ [2. Fast Extraction] ➔ [3. Export to CSV/JSON]Keyword: "Python" Scrapes real-time Download clean CSVLocation: "Remote" listings, salaries & or sync to ATS/CRMRadius: 30 miles sponsorship data automatically
- Configure Your Search: Enter target keywords (e.g.
Data Scientist,DevOps Engineer,React Developer), location, and optional filters (remote, easy apply, visa sponsorship). - Start Run: The scraper connects directly to Dice's real-time feed, extracting structured listings page-by-page.
- Export Your Data: Download your results in CSV, Excel, or JSON format with a single click from the Apify Dataset tab.
⚙️ Input Parameters
{"keyword": "data science","location": "New York, NY, USA","radius": 30,"unit": "mi","employment_type": ["FULLTIME", "CONTRACT"],"work_settings": ["Remote", "Hybrid"],"posted_date": "LAST_7_DAYS","easy_apply": false,"willing_to_sponsor": false,"job_entries": 100,"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}}
| Parameter | Type | Default | Description |
|---|---|---|---|
keyword | string | "" | Search query — e.g. "software engineer", "python developer", "cloud architect" |
location | string | "" | Target city or state — e.g. "New York, NY, USA", "Austin, TX", "Remote" |
radius | integer | 30 | Distance radius from location center |
unit | string | "mi" | Radius unit ("mi" for miles, "km" for kilometers) |
employment_type | array | [] | Filter: ["FULLTIME"], ["CONTRACT"], ["PARTTIME"], ["THIRD_PARTY"] |
work_settings | array | [] | Filter: ["Remote"], ["Hybrid"], ["On-site"] |
posted_date | string | "ANY" | Date range: "TODAY", "LAST_3_DAYS", "LAST_7_DAYS", "LAST_14_DAYS", "LAST_30_DAYS", "ANY" |
easy_apply | boolean | false | When true, returns only 1-click Easy Apply listings |
willing_to_sponsor | boolean | false | When true, returns only visa sponsorship eligible jobs |
job_entries | integer | 100 | Maximum number of job listings to extract per run |
proxyConfiguration | object | Residential | Proxy settings (US residential proxy recommended for high volume) |
🎯 Target Use Cases
- Recruitment & Staffing Agencies: Build immediate candidate matching pipelines and discover companies actively hiring.
- Tech Salary & Market Benchmarking: Analyze real market compensation and demand across skills and US locations.
- Job Aggregators & Career Platforms: Populate your niche career site or alert community with verified Dice tech listings.
- Visa Sponsorship Seekers: Instantly identify tech employers offering H-1B or international visa sponsorship.
- Competitor Hiring Intelligence: Track tech stack adoptions and expansion plans of top enterprises.
❓ Frequently Asked Questions
How does Pay-Per-Result pricing work?
You only pay for successful results: $3.00 per 1,000 scraped jobs ($0.003 per job) plus a $0.02 setup fee per run. No monthly subscriptions, no wasted credits.
How do I keep my runs within budget?
Set your maximum spending limit in the Apify task settings using maxTotalChargeUsd (e.g., $3.00 for 1,000 jobs). The scraper automatically monitors charges in real-time and gracefully halts when the limit is reached.
Can I export results to Excel or Google Sheets?
Yes! Once the run finishes, click Export on the Apify Dataset tab to download your results in CSV, Excel, or JSON format.
Can I run this on an automated schedule?
Yes. You can schedule runs daily, weekly, or hourly using Apify's built-in scheduler (e.g., collecting new listings posted in "TODAY").
Does it require a Dice.com account or login?
No account or login is required. The scraper collects publicly accessible listing data seamlessly.
🏷️ Tags & Keywords
dice jobs scraper dice.com scraper tech jobs scraper it jobs scraper dice job listings remote tech jobs software engineer salaries visa sponsorship jobs dice salary data job board scraper recruitment scraper us tech jobs
⚡ Ready to Supercharge Your Tech Job Sourcing?
Stop paying high monthly subscriptions for job scrapers. Start extracting fresh, structured tech job listings on demand for just $0.003 per job!