💼 Dice Tech Jobs Scraper

🚀 Export tech job listings from Dice.com in seconds. Get title, company, location, salary, skills, employment type, workplace type, and full job description - with filters for remote, contract, and salary ranges.

Dice.com is the leading US tech job board, connecting software engineers, data scientists, DevOps engineers, and other tech professionals with employers. This scraper taps into Dice's server-rendered job search pages, extracting every listing with salary details, skill tags, and full job descriptions.

The dataset covers all Dice job categories across the United States, including full-time, part-time, contract, and third-party postings - with optional filters for remote, hybrid, and on-site positions.

Target Audience / Use Cases

Who	What they use it for
Job seekers	Monitor new postings matching their skills and salary requirements
Recruiters	Track competitors and identify talent demand trends
Salary researchers	Analyze compensation ranges across tech roles and locations
HR teams	Benchmark salaries and understand hiring market conditions
Data scientists	Build ML models for job matching, NLP, or labor market analysis
Market analysts	Track hiring trends across companies, roles, and regions

📋 What the Dice Scraper does

• Search for tech jobs using any keyword (title, skill, company, or technology)
• Filter by location (city, state, or ZIP)
• Filter by employment type: Full-time, Part-time, Contract, or Third Party
• Filter by workplace type: Remote, Hybrid, or On-Site
• Collect full job descriptions from each listing's detail page
• Extract skill tags listed by employers on each job posting
• Export to CSV, Excel, JSON, or XML for analysis

💡 Why it matters: Dice salary data is among the most transparent in tech recruiting - many listings include explicit hourly or annual pay ranges, making this dataset uniquely valuable for compensation research.

📊 Data fields

Each record includes: applyUrl, company, employmentType, jobId, location, postedDate, results, salary, scrapedAt, skills, title, workplaceType. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. Go to the Dice Tech Jobs Scraper page on Apify
2. Click Try for free
3. Enter your search query (e.g., react developer, data engineer)
4. Optionally set location, employment type, and workplace type filters
5. Set maxItems to control how many jobs to collect
6. Click Start and wait for results
7. Download as CSV, Excel, JSON, or XML from the Dataset tab

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💡 Pro Tip: browse the complete ParseForge collection for data scrapers covering jobs, real estate, finance, government data, and more.

This actor is provided for research and personal use. Use responsibly and respect Dice.com's terms of service. Data is scraped from publicly accessible pages and does not include any private or authenticated information.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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