Dice.com Job Scraper

Dice.com Job Scraper creates a structured dataset of job listings collected from Dice.com. Each dataset item represents one Dice job and can include identifiers, title, summary, salary, dates, company fields, employment and workplace type, location, and optional job-detail, company-profile, and company-jobs objects. Query the source with keywords, Dice URLs, or a company brand ID, plus location and filter fields. Control the result limit with maxItems, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, XML, or another supported format.

Dataset at a glance

Property	Value
Source	dice.com (technology job listings)
Record unit	One Dice job, with optional nested job details, company profile, and company jobs
Input methods	Keyword search (searchQuery, searchQueries), Dice URLs (startUrls), or company brand ID (clientBrandId)
Main identifiers	guid, detailsPageUrl
Delivery	Apify Dataset and API
Export formats	JSON, CSV, Excel, XML, HTML (Apify dataset exports)
Update model	Fresh records per Actor run
Pricing	$2.00 per 1,000 jobs; +$2.50 per 1,000 job details; +$2.00 per 1,000 company details; +$2.00 per 1,000 company jobs

Coverage and available records

The Actor collects public Dice.com job listings from these entry points. They can be combined in one run.

• Search-based: Set searchQuery (prefill python) and optional extra keywords in searchQueries. Each query is a separate search. Apply location, radius (default 30), radiusUnit (mi or km, default mi), employmentTypes, workplaceTypes, postedDate, employerTypes, easyApply, and isRemote.
• URL-based: Pass Dice jobs search URLs or company job-listing URLs in startUrls. Filters encoded in the URL are used for that search.
• Company-based: Set clientBrandId to collect jobs for one Dice company brand, or pass a Dice company jobs URL in startUrls.

Record types and limits:

• Listing records are always collected: identifiers, title, summary, salary, dates, company name and URLs, employment type, employer type, workplace flags, location, and score.
• Job details are conditional: a jobDetails object is returned only when includeJobDetails is enabled.
• Company details are conditional: a companyDetails object is returned only when includeCompanyDetails is enabled. The profile is collected once per unique companyProfileId and attached to each job from that company.
• Company jobs are conditional: a companyJobs array is returned only when includeCompanyJobs is enabled, capped by maxCompanyJobs (0 means unlimited, the default). Those extra jobs are attached onto the listing row; they are not separate dataset items.
• Result cap: maxItems limits search-result jobs written to the dataset (0 means unlimited; default 10).

Known exclusions: content Dice only shows behind login is not collected; each run captures listing state at run time (no historical snapshots); enrichment objects are omitted when their toggle is off or the source does not return them.

Data dictionary

Field names below match dataset record JSON properties exactly. Fields marked conditional appear only when the corresponding input toggle is enabled. guid is the recommended deduplication key; detailsPageUrl is a reasonable secondary key. Dates are ISO 8601 timestamps as returned by Dice (for example 2026-08-20T20:06:16Z). salary is a formatted string, not a numeric range.

Listing fields

Field	Type	Nullable	Description	Example
id	string	Yes	Dice listing identifier	Source listing value
guid	string	Yes	Dice job GUID; best stable deduplication key	d7c60634-b836-4f3d-acb7-4b6ddf6a6f7b
title	string	Yes	Job title	Senior Python Software Engineer
summary	string	Yes	Search-result summary snippet	Job Number: R0247450 Python Software Engineer, Senior...
salary	string	Yes	Salary text as shown on Dice	USD 112,800.00 - 257,000.00 per year
postedDate	string	Yes	Posted timestamp (ISO 8601)	2026-08-20T20:06:16Z
modifiedDate	string	Yes	Last-modified timestamp (ISO 8601)	Source listing value
detailsPageUrl	string	Yes	Job detail URL; secondary deduplication key	https://www.dice.com/job-detail/d7c60634-b836-4f3d-acb7-4b6ddf6a6f7b
companyPageUrl	string	Yes	Dice company page URL	https://www.dice.com/company/booz
companyLogoUrl	string	Yes	Company logo image URL	Source listing value
companyName	string	Yes	Hiring company name	Booz Allen Hamilton
employmentType	string	Yes	Employment type as shown on Dice	Full-time
employerType	string	Yes	Employer type as shown on Dice	Source listing value
clientBrandId	string	Yes	Dice company brand identifier	Source listing value
companyProfileId	string	Yes	Dice company profile identifier	Source listing value
recruiterId	string	Yes	Recruiter identifier when present	Source listing value
easyApply	boolean	Yes	Whether Dice Easy Apply is available	false
isRemote	boolean	Yes	Whether the listing is marked remote	true
workFromHomeAvailability	string	Yes	Work-from-home availability text	Source listing value
workplaceTypes	string[]	Yes	Workplace labels (Remote, Hybrid, On-Site)	["Remote"]
location	string	Yes	Display location from jobLocation.displayName	Source listing value
jobLocation	object	Yes	Location object as returned by Dice	See location
score	number	Yes	Search relevance score as returned by Dice	Source listing value

Job details (conditional — includeJobDetails)

Field	Type	Nullable	Description
jobDetails	object	Yes	Detail object attached to the job row
jobDetails.jobDescriptionHtml	string	Yes	Full job description (HTML)
jobDetails.jobDescriptionText	string	Yes	Full job description (plain text)
jobDetails.diceId	string	Yes	Dice identifier from the detail page
jobDetails.diceCompanyId	string	Yes	Dice company identifier from the detail page
jobDetails.positionId	string	Yes	Position identifier from the detail page
jobDetails.skills	string	Yes	Skills text when present
jobDetails.experienceLevel	string	Yes	Experience level when present
jobDetails.postedLabel	string	Yes	Posted-age label when present
jobDetails.applyUrl	string	Yes	Apply URL when present
jobDetails.externalApplyUrl	string	Yes	External apply URL when present

Company details (conditional — includeCompanyDetails)

companyDetails is the Dice company profile object, attached once the profile is collected for that companyProfileId. Observed groups include company_info (name, website, founded, employees, locations, social links), general_information (overview), technologies, company_technologies, benefits, and awards_and_accomplishments. Nested keys follow the source profile; fields Dice does not return are omitted or null.

Company jobs (conditional — includeCompanyJobs)

companyJobs is an array of listing-shaped job objects for the same clientBrandId. Each item uses the listing fields above. These jobs are nested on the parent dataset item and are not extra dataset rows. maxCompanyJobs caps the array (0 = unlimited).

Example dataset record

Representative listing-only record from a python search with remote, full-time filters. Conditional objects are omitted because enrichment was off.

{
  "guid": "d7c60634-b836-4f3d-acb7-4b6ddf6a6f7b",
  "title": "Senior Python Software Engineer",
  "companyName": "Booz Allen Hamilton",
  "salary": "USD 112,800.00 - 257,000.00 per year",
  "employmentType": "Full-time",
  "workplaceTypes": ["Remote"],
  "isRemote": true,
  "easyApply": false,
  "postedDate": "2026-08-20T20:06:16Z",
  "detailsPageUrl": "https://www.dice.com/job-detail/d7c60634-b836-4f3d-acb7-4b6ddf6a6f7b",
  "companyPageUrl": "https://www.dice.com/company/booz",
  "summary": "Job Number: R0247450 Python Software Engineer, Senior..."
}

The record above was produced with this input:

{
  "searchQuery": "python",
  "workplaceTypes": ["Remote"],
  "employmentTypes": ["FULLTIME"],
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

jobDetails, companyDetails, and companyJobs appear on the same row when includeJobDetails, includeCompanyDetails, and includeCompanyJobs are enabled.

Query and input reference

Input	Type	Required	Default	Accepted values	Description
searchQuery	string	No*	—	Free text (prefill python)	Primary keyword search
searchQueries	string[]	No*	[]	Job titles, skills, or keywords	Additional keyword searches; each runs separately
startUrls	array (requestListSources)	No*	[]	Dice jobs search or company job-listing URLs	URL-based entry point; filters in the URL are used
location	string	No	""	Free text (e.g. New York, Remote)	Geographic filter for search mode
radius	integer	No	30	1 or greater	Search radius around location
radiusUnit	string	No	mi	mi, km	Unit for radius
employmentTypes	string[]	No	[]	FULLTIME, PARTTIME, CONTRACTS, THIRD_PARTY	Employment-type filter (OR)
workplaceTypes	string[]	No	[]	Remote, Hybrid, On-Site	Workplace-type filter
postedDate	string	No	""	"" (any time), ONE (today), THREE, SEVEN	Posted-recency filter
employerTypes	string[]	No	[]	Direct Hire, Recruiter, Other	Employer-type filter
easyApply	boolean	No	false	true / false	When true, return only Easy Apply jobs
isRemote	boolean	No	false	true / false	When true, return only remote jobs
clientBrandId	string	No*	""	Dice company brand ID	Collect jobs for one company brand
includeJobDetails	boolean	No	false	true / false	Attach jobDetails (charged as job-details)
includeCompanyDetails	boolean	No	false	true / false	Attach companyDetails (charged as company-details, once per unique company)
includeCompanyJobs	boolean	No	false	true / false	Attach companyJobs (charged as jobs-by-company per nested job)
maxCompanyJobs	integer	No	0	0 or any positive integer	Cap nested company jobs; 0 = unlimited
detailConcurrency	integer	No	5	1–20	Parallel enrichment requests when detail toggles are on
maxItems	integer	No	10	0 or any positive integer	Maximum search-result jobs; 0 = unlimited
proxyConfiguration	object	No	Apify proxy, RESIDENTIAL group	Apify proxy groups or custom proxies	Residential proxies are recommended

* Provide at least one of searchQuery, searchQueries, startUrls, or clientBrandId (or equivalent filter-only input).

Minimal request:

{ "searchQuery": "python" }

Advanced request (filters plus enrichment):

{
  "searchQuery": "python",
  "workplaceTypes": ["Remote"],
  "employmentTypes": ["FULLTIME"],
  "includeJobDetails": true,
  "includeCompanyDetails": true,
  "includeCompanyJobs": true,
  "maxCompanyJobs": 10,
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Retrieve the data through the API

The Actor runs on the Apify platform, so there is no server to host and no crawling infrastructure to maintain.

1. Start the Actor with a JSON input (console or API).
2. Wait for the run to finish, or use a synchronous endpoint if you want the response inline.
3. Retrieve items from the run's default dataset.
4. Paginate or export the dataset.

Python example:

from apify_client import ApifyClient

client = ApifyClient("YOUR-APIFY-TOKEN")

run_input = {
    "searchQuery": "python",
    "workplaceTypes": ["Remote"],
    "employmentTypes": ["FULLTIME"],
    "includeJobDetails": True,
    "maxItems": 10,
}

run = client.actor("datascrapers/dice-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["guid"], item["title"], item["companyName"])

Apify generates ready-to-run Python, JavaScript, and cURL examples on the Actor's API tab. Do not put a real API token in shared code or URLs.

Data quality and record handling

• Conditional fields: jobDetails, companyDetails, and companyJobs are present only when their input toggle is enabled and the source returns data. Listing-only runs return a leaner record.
• Source values: salary, dates, workplace labels, and location text are taken from Dice as published. Unreadable fields are returned as null rather than fabricated.
• Attached enrichments: company profile and company jobs nest on the job row. A company with 40 open jobs still produces one dataset item per search-result job.
• Deduplication: each run appends fresh records. Search configurations are de-duplicated within a run; job rows are not de-duplicated across runs. Use guid as the stable key, or detailsPageUrl as a secondary key, and filter repeated runs against previously stored values.
• Enrichment fallback: listing data is returned even when a detail or company request fails; that failed enrichment is not charged.
• Normalization: workplaceTypes is a string array; easyApply and isRemote are booleans; score is a number; location is the display name from jobLocation.

Export and pipeline examples

Destination	Recommended method	Typical use
PostgreSQL / Supabase	Dataset API poll or webhook consumer	Store Dice listings alongside talent tables
Google Sheets	Apify Google Sheets integration	Share role shortlists with recruiting teams
CRM / ATS pipeline	Webhook on run completion	Push new listings into applicant tracking
S3 / cloud storage	Scheduled export via Apify scheduler + integration	Archival of labor-market snapshots

Pricing and cost examples

The Actor uses pay-per-event pricing. A run also incurs an Actor-start charge of $0.00005.

Event	Trigger	Rate
Actor start	Once per run	$0.00005
dataset-item	Every search-result job pushed to the dataset	$0.002 / job ($2.00 per 1,000 jobs)
job-details	includeJobDetails enabled and detail data returned	$0.0025 / job ($2.50 per 1,000 jobs)
company-details	includeCompanyDetails enabled, once per unique company	$0.002 / company ($2.00 per 1,000 companies)
jobs-by-company	includeCompanyJobs enabled, per nested company job	$0.002 / job ($2.00 per 1,000 company jobs)

Example costs at the published event rates (Actor start is $0.00005 per run):

Records	Configuration	Estimated base cost
1,000 jobs	Listing only	$2.00
10,000 jobs	Listing only	$20.00
1,000 jobs	Listing + job details	$4.50
1,000 jobs + 200 unique companies	Listing + company details	$2.40
1,000 jobs + 500 nested company jobs	Listing + company jobs	$3.00
1,000 jobs + details + 200 companies + 500 company jobs	All enrichments	$5.90

Paid Apify plans may apply lower tiered event rates. Compute units consumed by the run are billed by your Apify plan. Estimates depend on the verified pricing model, unique-company count, nested company-job volume, and the options selected for the run.

Limitations and responsible data use

• The Actor collects publicly accessible data from Dice.com pages only.
• Field availability depends on what Dice renders at run time; some values can be null or missing, and site changes can alter fields.
• Company details and company jobs attach onto job rows; they are not standalone dataset items.
• The Actor does not provide historical snapshots unless you store them yourself.
• Residential proxies are recommended; coverage may degrade without them.
• You are responsible for compliance with Dice's terms of service, applicable privacy law, and any contractual obligations before using the data.

Dataset questions

What does one dataset item represent?

One Dice job listing. jobDetails, companyDetails, and companyJobs attach onto that same row when enabled. A job whose company has many open roles still produces a single dataset item.

Which field should I use as a unique identifier?

guid is the Dice job GUID and is the recommended deduplication key. detailsPageUrl is a reasonable secondary key.

Are fields nullable or conditional?

Yes. jobDetails exists only when includeJobDetails is enabled; companyDetails exists only when includeCompanyDetails is enabled; companyJobs exists only when includeCompanyJobs is enabled. Within listing records, fields Dice does not publish for a job are returned as null.

How do I collect jobs for one company?

Set clientBrandId to the Dice brand ID, or pass a Dice company jobs URL in startUrls. Enable includeCompanyJobs to nest that company's listings on each result, and use maxCompanyJobs to cap the array.

Can I retrieve the records as CSV or JSON?

Yes. The dataset can be exported as JSON, CSV, Excel, XML, or HTML from the Apify Console, and queried through the Dataset API.

Does the Actor return historical data?

No. Each run captures the state of the listings at run time. To track posting or salary changes, schedule repeated runs and store the outputs yourself.

What counts as a billable result?

Four pay-per-event charges apply after a $0.00005 Actor-start charge: a dataset-item charge for every search-result job ($2.00 per 1,000), a job-details charge for each enriched job ($2.50 per 1,000), a company-details charge once per unique company ($2.00 per 1,000), and a jobs-by-company charge per nested company job ($2.00 per 1,000). A listing-only run incurs Actor start plus dataset-item charges.

Related datasets from Data Scrapers

• Naukri Job Scraper — India job listings that can be compared with Dice rows by title, company, and skills.
• Glassdoor Jobs Scraper — Job listings with employer ratings that can be joined to Dice jobs by company name and title.
• ZipRecruiter Job Scraper — US job listings for cross-board labor-market comparison against Dice technology roles.
• StepStone Jobs Scraper — European job listings useful for multi-region hiring-volume analysis.
• LinkedIn Company Scraper — Company profiles that can be joined with Dice jobs by company name.

Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.