Monster Jobs Scraper

Scrape job listings from Monster.com — the largest US job board with over 2 million active listings. Extract full job details including description, company, salary, and location without needing an API key or account.

Features

• Full job descriptions — complete HTML, plain text, and Markdown formats
• Company information — name and official website
• Location data — city, state, and remote status
• Employment type — full-time, part-time, contract, temporary
• Salary data — when provided by the employer
• Publication date — extracted from the job index (updated daily)
• Keyword search — filter by job title or skill
• Location filter — by US state, state code, or city+state
• Date filter — only return jobs posted within N days
• Cross-run deduplication — skip jobs already seen in previous runs
• startUrls mode — scrape specific job pages directly

Input

Field	Type	Description
keyword	string	Job title or keyword. All words must appear in the title. Example: software engineer
location	string	US state name, code, or city+state. Examples: New York, NY, California, Austin, TX
maxResults	integer	Maximum results to return (default: 100)
daysOld	integer	Only jobs posted within this many days. 0 = no limit
fetchDetails	boolean	Fetch full description and company info (default: true)
skipReposts	boolean	Skip jobs seen in previous runs (90-day window)
startUrls	array	Specific Monster.com job-openings URLs to scrape

Output

Each result contains:

Field	Type	Notes
id	string	Monster job UUID
url	string	Canonical job URL on monster.com
title	string	Job title
company	string	Employer name
companyWebsite	string	Employer website URL
location	string	City, State
city	string	City only
stateCode	string	2-letter US state code
country	string	Always US
workTypes	array	e.g. ["FULL_TIME"], ["CONTRACT"]
isRemote	boolean	True for fully remote positions
salaryMin	number	Minimum salary (when provided)
salaryMax	number	Maximum salary (when provided)
salaryText	string	Formatted salary range
salaryCurrency	string	Always USD
salaryPeriod	string	YEAR, MONTH, HOUR
publishDate	string	Date in YYYY-MM-DD format
publishDateISO	string	Date in YYYY-MM-DD format
descriptionHtml	string	Full job description as HTML
descriptionText	string	Full job description as plain text
descriptionMarkdown	string	Full job description as Markdown
directApply	boolean	True if application is accepted directly on Monster
expiresDate	string	Date the listing expires
isRepost	boolean	True if seen in a previous run
source	string	Always monster.com
scrapedAt	string	ISO timestamp of when the job was scraped

Examples

Search for software engineers in New York:

{
  "keyword": "software engineer",
  "location": "New York",
  "maxResults": 100,
  "fetchDetails": true
}

Find nurses posted in the last 7 days in Texas:

{
  "keyword": "nurse",
  "location": "Texas",
  "daysOld": 7,
  "maxResults": 50,
  "fetchDetails": true
}

Browse all recent jobs in California:

{
  "location": "CA",
  "daysOld": 1,
  "maxResults": 200,
  "fetchDetails": true
}

Daily feed — only new jobs since yesterday:

{
  "keyword": "marketing manager",
  "daysOld": 1,
  "skipReposts": true,
  "maxResults": 500,
  "fetchDetails": true
}

Performance

Scenario	Time	Items
Common keyword (nurse, manager)	4–10s	10
Sparse keyword + state	10–60s	10
50 items with full details	~11s	50
200 items, no details	~7s	200

Pricing

$0.89 per 1,000 results (Pay Per Event)

Compute cost per run is under $0.001 — revenue is almost entirely margin. No proxy costs.

Notes

• Coverage: United States only (Monster.com US)
• Location matching is state-level — all jobs in a state are returned, not just a city
• Some job listings do not include salary; salaryMin, salaryMax, and salaryText will be null
• Remote jobs typically have no city/stateCode (location will be null or "Remote")
• The fetchDetails: false option returns partial data (title, location, date) without description or company