Dice Jobs Scraper

Extract Dice job listings with structured, analysis-ready output. Collect current openings by keyword, location, posting date, or a direct Dice search URL, then export the results as a clean dataset for recruiting, market research, and hiring intelligence workflows.

Use this actor to gather job titles, companies, locations, salary text, work setting, job descriptions, and source links at scale. It is designed for repeatable data collection, scheduled monitoring, and fast downstream automation.

Features

• Keyword and location search — Collect Dice jobs using targeted role and geography filters.
• Direct search URL support — Start from a Dice search URL when you already have the exact search page you want.
• Fresh posting filters — Narrow results to recent openings such as the last 24 hours, 3 days, 7 days, or 30 days.
• Detailed job records — Capture job titles, employers, locations, salary text, descriptions, and listing URLs.
• Pagination handling — Continue through result pages until your target count is reached or there are no more jobs.
• Structured output — Export clean data for spreadsheets, dashboards, CRMs, and internal tools.
• Flexible run limits — Control the number of jobs collected and optionally cap the number of pages visited.

Use Cases

Recruiting Intelligence

Track live openings for specific roles, skills, and regions. Build current hiring datasets to support sourcing, outreach planning, and talent pipeline decisions.

Job Market Research

Analyze which roles are being advertised most often, where they are concentrated, and how employers describe them. This is useful for trend monitoring, reporting, and competitive benchmarking.

Salary and Role Benchmarking

Collect salary text, employment type, and work setting data when available. Use the results to compare compensation language, remote demand, and role positioning across employers.

Competitive Hiring Monitoring

Follow which companies are actively hiring and for which job families. Re-run the actor on a schedule to monitor changes over time and identify spikes in hiring activity.

Lead Generation for Staffing Teams

Build structured lists of relevant openings and employer details for staffing, recruiting, or B2B outreach workflows. Export the dataset into the tools your team already uses.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	—	Full Dice search URL to use as the starting point. When provided, it overrides keyword and location.
keyword	String	No	python	Keyword or phrase to search for on Dice.
location	String	No	Remote	City, state, region, or remote location filter.
posted_date	String	No	24h	Posting date filter. Supported values: all, 24h, 3d, 7d, 30d.
results_wanted	Integer	No	20	Maximum number of jobs to save to the dataset.
maxPages	Integer	No	Auto	Optional page limit. Leave empty to keep collecting until the target is reached or search results end.
proxyConfiguration	Object	No	—	Optional Apify proxy settings for improved reliability during larger or repeated runs.

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Output Data

Each dataset item contains the main job listing fields plus search metadata. Common fields include:

Field	Type	Description
id	String	Internal listing identifier from the source.
jobId	String	Job ID value when provided by the source.
guid	String	Unique Dice job GUID.
title	String	Job title.
company	String	Normalized company name.
companyName	String	Company name from the original listing data.
location	String	Human-readable location.
jobLocation	Object	Structured location object from the source.
salary	String	Salary text when available.
employmentType	String	Employment type such as full-time or contract.
workSetting	String	Work setting such as Remote, Hybrid, or On-Site.
employerType	String	Employer category when available.
easyApply	Boolean	Whether the listing supports easy apply.
willingToSponsor	Boolean	Sponsorship indicator when available.
summary	String	Short listing summary.
description_html	String	Job description in HTML format.
description_text	String	Plain-text version of the description.
posted	String	Posted date value.
updated	String	Last updated date value.
firstActiveDate	String	First active date value from the listing.
url	String	Final job detail URL.
detailsPageUrl	String	Original job detail page URL from the source.
companyPageUrl	String	Employer profile URL when available.
companyLogoUrl	String	Company logo URL when available.
position_id	String	Position identifier derived from the listing data.
dice_id	String	Dice-specific job identifier.
searchId	String	Search identifier associated with the result set.
searchPage	Integer	Result page where the job was collected.
searchPageSize	Integer	Page size used during the run.
searchSortBy	String	Sort mode applied by the source search.
searchIncludeRemote	Boolean	Indicates whether remote jobs were included in the search.
source	String	Source label for the record.

Some fields may be empty when the original listing does not provide them.

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Usage Examples

Basic Job Search

Collect a small batch of recent remote Python jobs:

{
  "keyword": "python",
  "location": "Remote",
  "posted_date": "24h",
  "results_wanted": 20
}

Regional Hiring Snapshot

Collect more jobs for a specific role and geography:

{
  "keyword": "data engineer",
  "location": "New York, NY",
  "posted_date": "7d",
  "results_wanted": 100,
  "maxPages": 3
}

Direct Search URL Collection

Use a Dice search URL when you already have the exact search page you want:

{
  "startUrl": "https://www.dice.com/jobs?q=java&location=Remote&page=1",
  "posted_date": "3d",
  "results_wanted": 75
}

Large Scheduled Monitoring Run

Collect a larger dataset for recurring hiring analysis:

{
  "keyword": "machine learning engineer",
  "location": "United States",
  "posted_date": "30d",
  "results_wanted": 250,
  "maxPages": 8,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

---

Sample Output

{
  "id": "9f0b440130ec2a87ad06df2631366be8",
  "jobId": "9f0b440130ec2a87ad06df2631366be8",
  "guid": "f147d40f-4328-4fce-bbd4-0d8f880040d4",
  "title": "Sr. Lead of Software Engineering - Back End",
  "company": "Capital One",
  "location": "McLean, Virginia, USA",
  "salary": "USD 229,900.00 - 262,400.00 per year",
  "employmentType": "Full-time",
  "workSetting": "On-Site",
  "summary": "Lead backend engineering initiatives for large-scale systems.",
  "description_text": "Lead backend engineering initiatives for large-scale systems.",
  "url": "https://www.dice.com/job-detail/f147d40f-4328-4fce-bbd4-0d8f880040d4",
  "companyPageUrl": "https://www.dice.com/company-profile/example",
  "dice_id": "f147d40f-4328-4fce-bbd4-0d8f880040d4",
  "position_id": "9f0b440130ec2a87ad06df2631366be8",
  "searchPage": 1,
  "source": "dice.com"
}

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Tips for Best Results

Use Specific Keywords

• Search for exact roles such as java developer, site reliability engineer, or data analyst to reduce noise.
• Broader keywords return more jobs, but they usually need more filtering after export.

Use startUrl for Precision

• Use a Dice search URL when you want to preserve a search you already refined in the browser.
• This is useful for recurring monitoring of the same search configuration.

Start Small, Then Scale

• Begin with results_wanted set to 20 or 50 to validate output quickly.
• Increase collection size once the query is returning the jobs you expect.

Use Recent Posting Filters

• Choose 24h or 3d for fresh hiring signals.
• Use 7d or 30d when building larger research datasets.

Expect Missing Fields Sometimes

• Some Dice listings do not publish salary, sponsorship, or complete company data.
• Treat empty values as source limitations rather than actor failures.

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Proxy Configuration

For larger runs or frequent scheduled monitoring, using Apify Proxy can improve stability:

{
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

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Integrations

Connect your dataset with:

• Google Sheets — Review job data in a spreadsheet and share it with your team.
• Airtable — Build searchable recruiting and market research databases.
• Slack — Send scheduled run updates to a channel.
• Webhooks — Push fresh job data into your own systems.
• Make — Build no-code hiring and reporting workflows.
• Zapier — Trigger actions in CRMs, spreadsheets, and internal tools.

Export Formats

• JSON — Best for APIs, scripts, and custom applications.
• CSV — Best for spreadsheet analysis and quick filtering.
• Excel — Best for reporting and stakeholder sharing.
• XML — Best for systems that require XML feeds.

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Frequently Asked Questions

How many jobs can I collect in one run?

Use results_wanted to control the maximum number of jobs saved. The actor stops when it reaches your target or when no more matching results are available.

Can I use a Dice search URL instead of entering filters manually?

Yes. Set startUrl to a Dice search results URL and the actor will use it as the starting point.

Can I filter by posting date?

Yes. Use posted_date with all, 24h, 3d, 7d, or 30d.

Why do some jobs have missing salary or company fields?

Not every listing exposes the same information. Missing values usually mean the source page did not publish that field.

Does the actor return job descriptions?

Yes. When available, it returns both description_html and description_text.

Can I limit the number of result pages visited?

Yes. Set maxPages to add a hard ceiling on page traversal. Leave it empty if you want the actor to keep collecting until your target is reached.

Can I schedule recurring runs?

Yes. You can schedule the actor on Apify to monitor job searches automatically and feed the results into downstream workflows.

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Support

For issues, feature requests, or actor improvements, use the actor page on Apify to contact support.

Resources

• Apify Documentation
• Apify API Reference
• Apify Schedules

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Legal Notice

This actor is intended for legitimate data collection, research, and automation workflows. You are responsible for complying with applicable laws, regulations, and website terms when collecting and using data.