Dice.com Job Scraper — U.S. Tech Jobs

What does Dice.com Job Scraper do?

Dice.com Job Scraper extracts structured job data from dice.com — including salary data, contact details, company metadata, full descriptions, location data, and skill tags. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company profiles, and contact information) where the source provides them, incremental monitoring that only returns new or changed results on recurring runs, and a compact output mode for AI-agent and MCP workflows.

What data can you extract from dice.com?

Each result includes Core listing fields (jobId, jobKey, title, location, postalCode, applicantLocationRequirements, salaryText, and salaryMin, and more), detail fields when enrichment is enabled (description, descriptionHtml, descriptionLength, and detailFetched), contact and apply information (easyApply, applyUrl, extractedEmails, and contactName), and company metadata (company, companyUrl, companyProfileId, and companyLogoUrl). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions, company profiles, and contact information where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job search keywords. Use JSON array for multi-query, e.g. ["python", "java"].
• location — City, state, or region. Use JSON array for multi-location, e.g. ["New York", "San Francisco"].
• radius — Distance radius from location in miles. Common values: 10, 25, 50, 75, 100.
• employmentType — Filter by employment type.
• remoteFilter — Filter by workplace type.
• employerType — Filter by employer type.
• easyApply — Only return jobs that support Easy Apply. (default: false)
• postedDate — Only return jobs posted within this time period.
• startUrls — Direct Dice search or job detail URLs. Overrides query/location.
• maxResults — Maximum total job listings to return. 0 = unlimited. (default: 25)
• maxPages — Maximum SERP pages to scrape per search source. (default: 5)
• pageSize — Number of job listings per search page. Higher values mean fewer requests but larger responses. (default: 20)
• ...and 8 more parameters

Input example

{
  "query": "software engineer",
  "location": "New York",
  "easyApply": false,
  "maxResults": 5,
  "maxPages": 5,
  "pageSize": 20,
  "includeDetails": true,
  "includeCompanyProfile": false,
  "descriptionMaxLength": 0,
  "compact": false,
  "incrementalMode": false,
  "emitUnchanged": false,
  "emitExpired": false
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "08ba6bd7abc7641d1b2511e14e97c7d32c2307e8da175e5a3dd15929ae6e2c5b",
  "jobKey": "4e6ccbdd-76a2-4dc4-81e7-acf197a0b692",
  "title": "Sr. Java Software Engineer",
  "company": "Randstad Digital",
  "companyUrl": null,
  "companyProfileId": "ee3855f3-d056-5325-bc31-ad5f53052a28",
  "companyLogoUrl": "https://d3qscgr6xsioh.cloudfront.net/nwd2B9CDT8Oo4K91VMeJ_transformed.png?format=webp",
  "location": "Jersey City, New Jersey, USA",
  "postalCode": "07310",
  "applicantLocationRequirements": "USA",
  "description": "job summary:Ability to understand complex, end-to-end systems and identify performance, scalability, or resilience bottlenecks.Strong analytical, communication, and organizational skills.Ability to ma...",
  "descriptionHtml": "job summary:<br><br><p>Ability to understand complex, end-to-end systems and identify performance, scalability, or resilience bottlenecks.</p><br><p>Strong analytical, communication, and organizationa...",
  "descriptionLength": 2834,
  "salaryText": "USD85 - USD86",
  "salaryMin": 85,
  "salaryMax": 86,
  "salaryCurrency": "USD",
  "salaryType": null,
  "employmentType": "CONTRACTOR",
  "workplaceTypes": [
    "On-Site"
  ],
  "employerType": "Recruiter",
  "skills": [],
  "easyApply": false,
  "postedDate": "2026-03-27T19:04:12.000Z",
  "modifiedDate": "2026-03-28T07:03:42Z",
  "validThrough": "2026-04-28T07:03:42.000Z",
  "canonicalUrl": "https://www.dice.com/job-detail/4e6ccbdd-76a2-4dc4-81e7-acf197a0b692",
  "applyUrl": null,
  "portalUrl": "https://www.dice.com",
  "sourceUrl": "https://www.dice.com/job-detail/4e6ccbdd-76a2-4dc4-81e7-acf197a0b692",
  "sourceCountry": "US",
  "sourceDomain": "www.dice.com",
  "searchQuery": "software engineer",
  "searchUrl": "https://www.dice.com/jobs?q=software+engineer&location=New+York&pageSize=20&language=en&page=1",
  "isSponsored": false,
  "fetchedAt": "2026-03-28T08:58:26.996Z",
  "detailFetched": true,
  "contentQuality": "full",
  "extractedEmails": [],
  "contactName": null,
  "diceJobId": null,
  "positionId": null,
  "companyIndustry": null,
  "companyEmployeeRange": null,
  "companyWebsite": null,
  "companyDescription": null
}

How to scrape dice.com

1. Go to Dice.com Job Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info, or company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from dice.com for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Analyze skill demand across listings using structured skill tags.

How much does it cost to scrape dice.com?

Dice.com Job Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.01 per run
• Per result: $0.002 per job record

Example costs:

• 10 results: $0.03
• 100 results: $0.21
• 500 results: $1.01

Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient.

FAQ

How many results can I get from dice.com?

The number of results depends on the search query and available listings on dice.com. Use the maxResults parameter to control how many results are returned per run.

Does Dice.com Job Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Dice.com Job Scraper with other apps?

Yes. Dice.com Job Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Dice.com Job Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Dice.com Job Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape dice.com?

This actor extracts publicly available data from dice.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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