Pricing

from $1.50 / 1,000 job records

Monster Jobs Scraper | Search, Details, Emails

Extract monster.com job listings with full descriptions, salary, company, location, geo, application, classification, compliance, and public email fields. Supports search URLs and direct job URLs.

Pricing

from $1.50 / 1,000 job records

Rating

0.0

(0)

Developer

AbotAPI

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Monster Jobs Scraper

Extract structured Monster job listings for recruiting intelligence, labor-market research, job-board feeds, and hiring analytics. The actor supports structured search inputs plus direct Monster search and job URLs. It preserves the full upstream job object while adding flat fields that export cleanly to JSON, CSV, Excel, and API clients.

Why This Scraper?

Search by keyword and location
Filter by radius, workplace, date, employment type, and company
Sort by relevance or newest first
Accept multiple Monster search and direct job URLs
Return full HTML descriptions, salary, employer, geo, application, classification, branding, and compliance data
Preserve the complete raw job object for future fields
Produce explicit flat CSV columns, including job ID, title, company, location, salary, dates, URLs, and coordinates
Extract public email addresses found in returned job content

Data You Get

Field	Example
`jobId`	`00000000-0000-0000-0000-000000000000`
`title`	`Sample Software Engineer`
`companyName`	`Sample Company`
`location`	`New York, NY, US`
`datePosted`	`2026-01-01T00:00:00.000Z`
`employmentTypesText`	`FULL_TIME`
`salaryMin`	`100000`
`salaryMax`	`140000`
`salaryCurrency`	`USD`
`remote`	`true`
`applyUrl`	`https://www.monster.com/`
`latitude`	`40.7000`
`longitude`	`-74.0000`
`descriptionHtml`	Full returned HTML
`contactEmail`	`jobs@example.com`
`raw`	Complete source object

How to Use

Search:

{
  "mode": "search",
  "query": "software engineer",
  "location": "New York, NY",
  "maxItems": 20
}

Remote jobs posted recently:

{
  "mode": "search",
  "query": "data engineer",
  "location": "United States",
  "workplace": "remote",
  "datePosted": "week",
  "sortBy": "date",
  "maxItems": 50
}

URL mode:

{
  "mode": "url",
  "startUrls": [
    "https://www.monster.com/jobs/search?q=developer&where=Boston%2C+MA&page=1"
  ],
  "maxItems": 20
}

Input Parameters

Parameter	Default	Description
`mode`	`search`	Structured search or URL mode
`query`	`software engineer`	Search keyword
`location`	`New York, NY`	Search location
`radius`	`30`	Radius in miles
`workplace`	`all`	All workplaces or remote only
`datePosted`	`all`	Posting recency
`employmentType`	`all`	Employment type
`company`	empty	Employer name filter
`sortBy`	`relevance`	Relevance or newest first
`startUrls`	sample URL	Search and direct job URLs
`enrichEmails`	`true`	Extract public emails from returned content
`maxItems`	`20`	Maximum matching rows to save
`maxPages`	`0`	No page limit; Max items remains the cap
`maxConcurrency`	`2`	Maximum parallel pages
`minConcurrency`	`1`	Minimum parallel pages
`maxRequestRetries`	`6`	Fresh-connection retries
`proxy`	Residential	Connection configuration

maxItems is a maximum, not a guaranteed result count. A run can return fewer records when fewer current jobs match the selected source, keyword, location, and filters.

Output Example

Sample shape, values are illustrative placeholders, not from a live job.

{
  "jobId": "00000000-0000-0000-0000-000000000000",
  "title": "Sample Software Engineer",
  "companyName": "Sample Company",
  "location": "New York, NY, US",
  "datePosted": "2026-01-01T00:00:00.000Z",
  "employmentTypes": ["FULL_TIME"],
  "employmentTypesText": "FULL_TIME",
  "salaryMin": 100000,
  "salaryMax": 140000,
  "salaryCurrency": "USD",
  "remote": true,
  "applyUrl": "https://www.monster.com/",
  "jobUrl": "https://www.monster.com/",
  "contactEmail": "jobs@example.com",
  "descriptionText": "Sample job description.",
  "raw": {},
  "scrapedAt": "2026-01-01T00:00:00.000Z"
}

Plan Requirement

Apify Residential proxy is strongly recommended. Datacenter and free-tier connections can have lower reliability. The actor automatically retries incomplete pages with fresh sessions.

CSV exports use the dataset overview view with explicit flat fields. This prevents nested-only records from producing blank CSV files.

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