Dice Tech Jobs Scraper

Scrape Dice.com tech jobs as structured rows rather than raw text. This Dice jobs scraper returns a parsed salary band — minimum, maximum, currency, and period — plus an annualised figure so hourly contract rates compare directly against salaries, the employer type so agency reposts can be dropped, and sponsorship and easy-apply flags.

No Dice API key, no login, and no headless browser. Results land in a structured dataset you can export to JSON, CSV, Excel, or XML, or pull straight from the Apify API.

What is Dice Tech Jobs Scraper?

Dice Tech Jobs Scraper is an Apify Actor that extracts tech job listings with parsed salary bands from Dice and returns them as clean, structured records. Dice is dominated by contract roles quoted hourly. Without annualisation you cannot compare a $85/hour contract against a $150,000 salary, which makes most Dice datasets useless for compensation work.

What data can this Dice jobs scraper extract?

Every run writes one row per job posting. The full schema carries 41 fields; the most-used ones are below.

Field	Type	Description
jobId	string	Dice's identifier for the listing. Stable across runs and usable as a deduplication key. Null only on the...
guid	string	The identifier that appears inside the job URL (dice.com/job-detail/
title	string	Job title exactly as the employer published it.
companyName	string	Hiring company or staffing agency name.
companyId	string	Dice's brand identifier for the employer. Groups every posting from the same company, even when the displayed name...
companyUrl	string	The employer's Dice company page.
companyLogoUrl	string	Employer logo image. Present on about 99.8% of listings.
locationDisplay	string	Location as Dice displays it, for example "Charlotte, North Carolina, USA".
city	string	City for the role. Dice omits it on statewide postings, in which case this is null rather than repeating the state.
state	string	Full state or province name, for example "North Carolina".
stateCode	string	Dice's short region code for the state, for example "NC".
country	string	Country exactly as Dice reports it. Dice is inconsistent here and mixes "USA", "US", "Canada" and "CA" in one...
countryCode	string	Two-letter ISO country code normalised from the field above. Null when Dice reported a country this Actor does not...
salaryText	string	The pay band exactly as the employer typed it, kept verbatim so nothing is lost to parsing. Present on about 83.5%...
salaryMin	number	Bottom of the published band, in the units of salaryPeriod. Null when the employer published no number, including...
salaryMax	number	Top of the published band, in the units of salaryPeriod. Equals salaryMin when a single figure was published.
salaryCurrency	string	Three-letter currency code detected from the published band. Null when the employer gave a bare number with no...
salaryPeriod	string	One of hourly, daily, weekly, monthly or yearly - the unit salaryMin and salaryMax are quoted in.
salaryPeriodIsInferred	boolean	True when the employer gave no explicit period and it was inferred from magnitude (a band topping out under 1000...
salaryAnnualMin	number	salaryMin converted to a yearly figure so hourly contract rates and annual salaries can be compared in one column....
salaryAnnualMax	number	salaryMax converted to a yearly figure on the same basis as the field above.
employmentType	string	Employment type as Dice publishes it. Often several joined by commas, for example "Full-time, Third Party".

See the Output tab in Apify Console for all 41 fields.

How to scrape Dice tech job listings

1. Open Dice Tech Jobs Scraper and click Try for free.
2. Add searchQueries and locations, with radiusMiles to widen the geography.
3. Filter with postedWithinDays, employmentTypes, and workplaceTypes.
4. Set willingToSponsorOnly or easyApplyOnly to narrow further.
5. Bound the run with maxItems.
6. Click Start and watch rows appear live in the Output tab.
7. Export the dataset as JSON, CSV, Excel, or XML — or fetch it from the Apify API once the run finishes.

Dice Tech Jobs Scraper input options

Input	Type	What it does	Default
searchQueries	array	Job titles, skills or keywords to search, one per line. Each keyword is combined with each location, so 3 keywords...	["software engineer"]
locations	array	Where to search, one per line, for example "New York, NY", "Austin, TX" or "Remote". Optional: a keyword with no...	["New York, NY"]
radiusMiles	integer	How far around each location to search. Only applies when a location is given. Dice's own default is 30 miles.	30
postedWithinDays	string	Only return jobs posted this recently. Dice offers exactly these buckets. Note that its 30-day bucket covers almost...	"any"
employmentTypes	array	Only return these employment types. Leave empty for all. Selecting several ORs them together rather than narrowing...
workplaceTypes	array	Only return these workplace arrangements. Leave empty for all. Selecting several ORs them together.
willingToSponsorOnly	boolean	Only return employers who marked the posting as willing to sponsor a work visa. This is a narrow slice, roughly 500...	false
easyApplyOnly	boolean	Only return jobs a candidate can apply to through Dice itself, rather than being redirected to the employer's own...	false
startUrls	array	Paste dice.com search URLs to scrape them directly, for example...
maxItems	integer	Hard cap on jobs returned across all searches, and the cap on what you are charged. Dice serves at most 10,000...	100

Proxy is configured through the standard proxyConfiguration object; the defaults shipped with this Actor are already tuned for the target site.

Example output

{
  "searchQueries": ["python developer", "data engineer"],
  "locations": ["Austin, TX"],
  "radiusMiles": 30,
  "postedWithinDays": "7",
  "employmentTypes": ["full-time"],
  "workplaceTypes": ["remote", "hybrid"],
  "willingToSponsorOnly": false,
  "maxItems": 500
}

How much does it cost to scrape Dice?

This Actor runs on pay per result pricing: $0.0007 per job ($0.7 per 1,000).

Results	Approximate cost
1,000	$0.70
10,000	$7.00
100,000	$70.00

You pay for rows you actually receive, so a search that returns nothing costs nothing beyond the start fee. Every Apify account includes free monthly usage credit, so you can trial Dice Tech Jobs Scraper at no cost.

What can you build with Dice data?

Benchmark contract versus permanent tech pay

Annualised salary figures make hourly and salaried roles directly comparable, which is the whole point of compensation analysis in a contract-heavy market.

Filter out staffing-agency noise

employerType distinguishes direct employers from agencies, letting you drop the duplicate reposts that make Dice data look larger than it is.

Find visa-sponsoring employers

willingToSponsor identifies employers open to sponsorship, which is decisive for international candidates.

Track tech skill demand over time

Posting volume by keyword and location is a genuine leading indicator of which technologies are being hired for.

Build a recruiting lead list

Direct employers posting repeatedly for the same skill are the clearest prospects for a technical recruiting desk.

Dice scraping tips and limits

• salaryPeriodIsInferred flags rows where the period was deduced rather than stated. Exclude them from precise compensation analysis.
• Filtering to direct employers via employerType typically removes a large share of duplicate listings.
• postedWithinDays keeps scheduled runs cheap by pulling only new postings.
• Dice is US-centric and skewed toward contract work. For permanent roles, pair it with Indeed or ATS boards.

Integrations and automation

Run Dice Tech Jobs Scraper on a schedule to keep a Dice dataset fresh, or trigger it from your own stack through the Apify API and the official JavaScript and Python clients. Native integrations push results into Google Sheets, Slack, Airtable, Zapier, Make, GitHub, or any webhook endpoint. The Actor also works as an MCP tool, so an AI agent can call it directly.

Related scrapers

Actor	What it does
Indeed Jobs Scraper	Broader job coverage with parsed salaries.
ATS Job Boards Scraper - Greenhouse, Ashby, Lever	Greenhouse, Ashby, and Lever company boards.
Workday Jobs Scraper - Search Any Workday Career Site	Enterprise Workday career sites.
Glassdoor Company Scraper	Employee reviews and salary reports.

Frequently asked questions

How does the annualised salary work?

Where Dice quotes an hourly or daily rate, the Actor computes salaryAnnualMin and salaryAnnualMax so contract and permanent roles sit on the same scale. The original text stays in salaryText.

Can I exclude staffing agencies?

Yes. Filter on employerType to keep only direct employers, which removes most of the duplicate agency reposts Dice is known for.

Do I need a Dice API key?

No. Dice Tech Jobs Scraper reads publicly available Dice pages and endpoints directly, so there is no key to obtain, no OAuth app to register, and no account to connect.

Can I export Dice data to CSV, Excel, or Google Sheets?

Yes. Every run stores results in an Apify dataset that exports to JSON, JSONL, CSV, Excel, XML, or HTML with one click, and the Google Sheets integration writes rows straight into a spreadsheet.

Can I run Dice Tech Jobs Scraper on a schedule?

Yes. Apify schedules run the Actor hourly, daily, weekly, or on any cron expression, and webhooks can notify your systems the moment a run finishes.

Is it legal to scrape Dice?

Scraping publicly available data is broadly lawful in the US and EU, but the answer depends on what you collect and how you use it. This Actor is built to gather public job posting information Dice publishes publicly. Personal data carries extra obligations under GDPR and CCPA. Read Apify's guide on whether web scraping is legal and take your own legal advice for your use case.

Support and feedback

Found a bug, a missing field, or a Dice page shape this Actor does not handle yet? Open an issue from the Issues tab on the Actor page. Feature requests and custom-scraper enquiries are welcome there too.