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Monster Scraper API

Pull Monster job listings into JSON: title, employer, location, employment type, and full descriptions from one of the longest-running job boards across North America and Europe.

Job postingsCompany dataSalary signalsGeo & remote
▸ Overview

Monster is a veteran job board with deep coverage of mid-career and professional roles across the US, Canada, and several European markets. The Monster Scraper API converts search pages and individual postings into validated JSON with title, company, location, employment type, and description text.

Workforce-analytics and ATS-integration teams use it to backfill professional and mid-tier listings that newer aggregators under-index. Postings are geo-tagged by market and resolved live so role status reflects the current page.

Monster Scraper API · request
# POST a target — get validated JSON back
curl https://api.crawlzo.com/v4/scrape \
  -H "Authorization: Bearer $CRAWLZO_KEY" \
  -d '{
  "url": "https://www.monster.com/jobs",
  "type": "search",
  "geo": "us"
  }'

// ← response
{
  "status": "ok",
  "data": {
    "title": "...",
    "company": "...",
    "location": "Remote, US",
    "salary": { "min": 120000, "max": 160000, "currency": "USD" },
    "posted": "2026-05-28",
    "work_type": "full_time"
  }
}
"type": "search", "geo": "us"
▸ What you can extract

Every public field, structured for you.

Monster data parsed into clean, validated JSON. Pull any group below on its own, or combine them in a single request.

Job posting details

  • Title, company, location, work type
  • Description, requirements, benefits
  • Seniority, function, employment type
  • Posted date and job ID

Company details

  • Company name, industry, size
  • Rating and review summary
  • Logo, website, headquarters

Search results

  • Ranked roles per query + location
  • Remote / hybrid / on-site filter
  • Date-posted and salary filters
  • Pagination across result pages

Salary & compensation

  • Disclosed or estimated salary range
  • Currency and pay period
  • Equity / bonus signals where shown

Application signals

  • Applicant count and easy-apply flag
  • Repost and freshness signals
  • External application URL
▸ Built on the Crawlzo engine

The hard parts, already solved.

▸ What teams build with it

Common use cases.

[ 01 ]

Mid-career professional role coverage

[ 02 ]

Multi-region workforce analytics

[ 03 ]

ATS and CRM listing enrichment

[ 04 ]

Cross-board posting comparison

▸ FAQ

Monster scraping, answered.

Structured JSON straight from the API, or pushed to your stack natively — S3, BigQuery, Snowflake, Postgres, Kafka, or any HTTPS webhook. Call it from Python, Node, Go, Rust, or any HTTP client. The data lands where your pipeline already lives.

No. You pay for valid, schema-passing rows only. Retries, blocks, CAPTCHAs, and 5xxs are on us. If a run doesn't return data that conforms to the schema, it isn't billed.

Every request routes through the same engine behind our Web Unblocker API: compliant residential IPs, real browser fingerprints, TLS-level evasion, behaviour modelling, and built-in CAPTCHA solving. Hard targets become routine.

Yes. We respect robots policies, rate budgets, and ToS-aware allow/deny lists. We deliver and move on — no row-level retention beyond your replay window. GDPR DPA, PII redaction, and custom data residency available on request.

MONSTER DATA · ON TAP

Start pulling Monster data this week.

Tell us the Monster surface you need and the shape you want it in. We'll come back in 24 hours with a sampled output, a scoped plan, and a price. Pilot in week one.

Pay only for data delivered99.99% uptime SLA99% success rate100M+ proxies