Monster.com Job Scraper

Empower Your Talent Intelligence Pipelines – Capture, analyze, and monitor Monster.com job listings at scale with enterprise-grade reliability. Whether you are tracking hiring demand, enriching recruiting platforms, or conducting market research, our scraper delivers fresh, structured job intelligence while minimizing manual effort.

"From newly posted openings to deep-dive job detail pages, we turn Monster's listings into your competitive advantage."

Overview

The Monster.com Job Scraper is your all-in-one utility for extracting hiring data from Monster.com. Ideal for recruiting teams, workforce planners, and market researchers, it tracks search result pages and individual job details worldwide. With straightforward configuration and structured outputs, it's perfect for anyone building job intelligence pipelines or talent analytics.

What does Monster.com Job Scraper do?

The Monster.com Job Scraper is a powerful tool that enables you to:

Comprehensive Data Collection

• Job Search Results
  • Capture structured job cards from Monster.com search result pages
  • Track pagination automatically to cover entire result sets
  • Extract metadata such as job title, company, location, and posting highlights
• Job Detail Pages
  • Scrape full job descriptions and requirements from individual job postings
  • Collect recruiter/company contact information when available
  • Preserve benefits, salary/compensation snippets, and application methods
• Market Insights
  • Monitor hiring demand across geographies, industries, and job families
  • Build time-series datasets to benchmark recruiting trends
  • Feed downstream analytics, enrichment, and ATS/CRM workflows

Advanced Scraping Capabilities

• Pagination Handling: Automatically navigates through Monster search results
• Efficient Processing: Processes only new or updated postings in subsequent runs
• Change Detection: Detects new openings and updates to existing job ads
• Incremental Data Collection: Build comprehensive hiring datasets over time

Flexible Scraping Options

• Job Search Results: Extract job listings by keywords, location, and filters
  • Example: https://www.monster.com/jobs/search?q=developer&where=Boston%2C+MA&page=1&so=m.h.sh
• Individual Job Details: Target specific job postings using direct URLs
  • Example: https://www.monster.com/job-openings/salesforce-developer-financial-services-cloud-boston-ma--a5e6ee28-df6e-4e50-8d2a-8f448178aade?sid=7c845d6c-ea96-4f27-bd4c-3111c939ced1&jvo=m.mco.s-svr.1&so=m.h.sh&hidesmr=1

This tool is ideal for:

• Recruiting intelligence and competitive hiring analysis
• Talent market research across industries and geographies
• Workforce planning and compensation benchmarking
• Building job scraping pipelines for ATS/CRM enrichment
• Monitoring hiring signals for business development & sales

Features

• Comprehensive Data Extraction: Job metadata, descriptions, and employer insights
• Dual Scraping Modes:
  • Search Results: Scrape all jobs from Monster search result pages
  • Individual Job Details: Target specific postings using job detail URLs
• Flexible Input: Supports multiple input formats:
  • Search result URLs (keyword, location, filters)
  • Direct job detail URLs
• Automatic Pagination: Handles multi-page result sets automatically
• Efficient Processing: Concurrent scraping with configurable concurrency settings
• Reliable Performance: Built-in retries, throttling, and proxy support
• Structured Data Export: Download job data in JSON or CSV for analytics

Supported Scenario Types

The Monster.com Job Scraper can extract data from multiple job-hunting flows:

1. Search Result Pages – Keyword/location queries with optional filters

   • Example: https://www.monster.com/jobs/search?q=developer&where=Boston%2C+MA&page=1&so=m.h.sh
   • Fields: job_id, title, company, location, posted_date, apply_type, etc.

2. Individual Job Postings – Full details for a single job

   • Example: https://www.monster.com/job-openings/salesforce-developer-financial-services-cloud-boston-ma--a5e6ee28-df6e-4e50-8d2a-8f448178aade?sid=7c845d6c-ea96-4f27-bd4c-3111c939ced1&jvo=m.mco.s-svr.1&so=m.h.sh&hidesmr=1
   • Fields: job_id, description_html, requirements, benefits, company_details, apply_urls, etc.

3. Filtered Market Research Runs – Jobs narrowed by recency, remote/onsite, or radius filters

   • Example: https://www.monster.com/jobs/search?q=developer&where=Boston%2C+MA&recency=last+2+weeks&rd=50&et=REMOTE
   • Fields: job_id, filter_context, employment_types, activation_recency, radius_miles, etc.

Each scenario returns a structured payload consistent across runs, making it straightforward to pipe into your analytics stack.

Quick Start

1. Sign up for Apify: Create your free account at apify.com.
2. Find the Scraper: Search for "Monster.com Job Scraper" in the Apify Store.
3. Configure Input: Set your search URLs or direct job URLs in the input schema.
4. Run the Scraper: Execute the scraper on Apify or locally with Node.js/TSX.
5. Data Collection: Export raw job data as JSON or CSV for downstream processing.

Input Configuration

Here's an example of how to set up the input for the Monster.com Job Scraper:

{
    "startUrls": [
        "https://www.monster.com/jobs/search?q=developer&where=Boston%2C+MA&page=1&so=m.h.sh",
        "https://www.monster.com/job-openings/salesforce-developer-financial-services-cloud-boston-ma--a5e6ee28-df6e-4e50-8d2a-8f448178aade?sid=7c845d6c-ea96-4f27-bd4c-3111c939ced1&jvo=m.mco.s-svr.1&so=m.h.sh&hidesmr=1"
    ],
    "maxConcurrency": 10,
    "minConcurrency": 1,
    "maxRequestRetries": 100,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
}

Input Fields Explanation

• startUrls: Array of strings containing any of these formats:
  • Search URL: "https://www.monster.com/jobs/search?q=developer&where=Boston%2C+MA&page=1&so=m.h.sh"
  • Job detail URL: "https://www.monster.com/job-openings/..."
• maxItems: Maximum number of results to scrape (default: 1000).
• maxConcurrency: Maximum number of pages processed simultaneously (default: 10).
• minConcurrency: Minimum number of pages processed simultaneously (default: 1).
• maxRequestRetries: Number of retries for failed requests (default: 100).
• proxyConfiguration: Proxy settings for consistent scraping performance.

Output Structure

The scraper provides structured information about Monster job postings. Outputs are normalized for both search results and job detail pages. Key groups include:

{
    "jobId": "a5e6ee28-df6e-4e50-8d2a-8f448178aade",
    "externalIdentifiers": [
        {
            "identifierName": "NOW_POSTING_ID",
            "identifierValue": "01bd061f-bcdf-443c-8ff4-dc7329831be4"
        },
        {
            "identifierName": "POSITION_AD_ID",
            "identifierValue": "292571243"
        }
    ],
    "dateRecency": "10 days ago",
    "status": "ACTIVE",
    "jobType": "DURATION",
    "ingestionMethod": "ADAPTED_NOW",
    "apply": {
        "applyType": "ONSITE",
        "applyUrl": "https://job-openings.monster.com/v2/job/apply?jobid=292571243"
    },
    "jobPosting": {
        "description": "<p><strong>This is a</strong> 12<strong> month contract-to-hire</strong> and needs to meet Client full-time conversion policies. Those dependent on a work permit sponsor now or anytime in the future (i<strong>e H1B, OPT, CPT, etc</strong>) do not meet Client requirements for this opening.</p><p><strong>**MUST BE HYBRID IN Boston or Springfield, MA or New York, NY</strong></p><p><strong>**MUST BE W2; No Corp-to-Corp**</strong></p><p> </p><p>We are seeking a highly skilled <strong>Salesforce Developer</strong> to join our team and contribute to the development and enhancement of Salesforce solutions within the <strong>Financial Services Cloud (FSC)</strong>. The ideal candidate will have hands-on experience building and customizing Salesforce applications for <strong>wealth management</strong>, <strong>insurance</strong>, and <strong>sales distribution</strong> use cases. This role requires strong technical expertise, business acumen, and a passion for delivering high-quality solutions that drive advisor productivity and client engagement.</p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and customize Salesforce applications using <strong>Apex</strong>, <strong>Lightning Web Components</strong>, <strong>Flows</strong>, and <strong>OmniStudio</strong>.</li><li>Implement FSC features to support client onboarding, policy servicing, advisor workflows, and distribution enablement.</li><li>Collaborate with architects, business analysts, and stakeholders to understand requirements and deliver scalable solutions.</li><li>Integrate Salesforce with external systems using REST/SOAP APIs, middleware, and data connectors.</li><li>Participate in code reviews, unit testing, and deployment activities within Agile development cycles.</li><li>Maintain and enhance existing Salesforce applications, ensuring performance, security, and compliance.</li><li>Document technical designs, configurations, and development processes.</li><li>Stay current with Salesforce releases and recommend relevant enhancements.</li></ul><p><strong>Required Qualifications</strong></p><ul><li><strong>5+ years</strong> of Salesforce development experience, including <strong>2+ years</strong> with <strong>Financial Services Cloud</strong>.</li><li>Strong understanding of <strong>wealth management</strong>, <strong>insurance</strong>, and <strong>sales distribution</strong> business processes.</li><li>Proficiency in <strong>Apex</strong>, <strong>SOQL</strong>, <strong>Lightning Web Components</strong>, <strong>Flows</strong>, and <strong>OmniStudio</strong>.</li><li>Experience with <strong>Salesforce integrations</strong>, including APIs and middleware tools (e.g., ).</li><li>Familiarity with Salesforce security models, data architecture, and declarative tools.</li><li>Salesforce certifications such as <strong>Platform Developer I/II</strong>, <strong>FSC Accredited Professional</strong>, or <strong>OmniStudio Developer</strong>.</li></ul><p> </p><p><strong>Preferred Skills</strong></p><ul><li>Experience with <strong>Einstein Analytics</strong>, <strong>Salesforce Shield</strong>, or <strong>Experience Cloud</strong>.</li><li>Knowledge of compliance and regulatory frameworks (e.g., FINRA, SEC, NAIC).</li><li>Exposure to DevOps tools (e.g. Copado) and CI/CD pipelines for Salesforce.</li><li>Strong problem-solving skills and ability to work independently or in cross-functional teams.</li></ul><p> </p>",
        "baseSalary": {
            "currency": "USD",
            "value": {
                "minValue": 70,
                "maxValue": 85,
                "unitText": "Per Hour"
            }
        },
        "datePosted": "2025-09-17T15:46:12.720Z",
        "employmentType": [
            "FULL_TIME",
            "CONTRACTOR",
            "TEMPORARY"
        ],
        "hiringOrganization": {
            "name": "Albano Systems, Inc.",
            "address": {},
            "logo": "https://securemedia.newjobs.com/CompanyJobPostingLogo/473346/733291.jpg"
        },
        "industry": "Computer Software",
        "jobLocation": [
            {
                "address": {
                    "streetAddress": "10 Fan Pier Boulevard,",
                    "addressRegion": "MA",
                    "addressLocality": "Boston",
                    "postalCode": "02210",
                    "addressCountry": "US"
                }
            }
        ],
        "title": "Salesforce Developer Financial Services Cloud"
    },
    "provider": {
        "code": "monster"
    },
    "brandingExt": {},
    "jobViewPreferences": {
        "hiringOrganizationConfidential": false
    },
    "enrichments": {
        "normalizedJobLocations": [
            {
                "postalAddress": {
                    "address": {
                        "addressRegion": "MA",
                        "addressLocality": "Boston",
                        "postalCode": "02210",
                        "addressCountry": "US"
                    },
                    "geo": {
                        "latitude": "42.34656",
                        "longitude": "-71.034458"
                    }
                },
                "locationId": "27381559",
                "countryCode": "US"
            }
        ],
        "normalizedTitles": [
            {
                "title": "Salesforce Developer"
            }
        ],
        "employmentTypes": [
            {
                "name": "TEMPORARY"
            },
            {
                "name": "FULL_TIME"
            },
            {
                "name": "CONTRACTOR"
            }
        ],
        "company_kb": {
            "normalized_company_name": "Albano Systems, Inc.",
            "normalized_company_guid": "ntuvj7mcl5hmlbtvdstbeztbrh"
        },
        "mescos": [
            {
                "id": "1500127001001"
            }
        ],
        "localized_monster_urls": [
            {
                "location_id": "27381559",
                "url": "https://www.monster.com/job-openings/salesforce-developer-financial-services-cloud-boston-ma--a5e6ee28-df6e-4e50-8d2a-8f448178aade"
            }
        ],
        "language": {
            "language_code": "en"
        }
    },
    "now": {
        "job_ad_pricing_type_id": 1,
        "folder_id": 346641915,
        "eeo": {
            "disability": false,
            "ethnicity": true,
            "gender": true,
            "veteran": false
        }
    },
    "field_translations": [
        {
            "field_name": "SalaryBaseType",
            "name": "HOUR",
            "locale": "en-us",
            "translation": "Per Hour"
        },
        {
            "field_name": "EmploymentType",
            "name": "TEMPORARY",
            "locale": "en-us",
            "translation": "Temporary"
        },
        {
            "field_name": "EmploymentType",
            "name": "CONTRACTOR",
            "locale": "en-us",
            "translation": "Contractor"
        },
        {
            "field_name": "EmploymentType",
            "name": "FULL_TIME",
            "locale": "en-us",
            "translation": "Full-time"
        }
    ],
    "derived_properties": {
        "promoted": true,
        "remote": false
    },
    "policy_decisions": {
        "remoteness_source": "CLIENT_SPECIFIED"
    },
    "formatted_date": "2025-09-17T00:00:00"
}

Output Fields Explanation

Core Job Fields

• jobId: Primary Monster GUID for the job posting.
• externalIdentifiers: Array of partner identifiers (e.g., NOW_POSTING_ID, POSITION_AD_ID) that support deduping across feeds.
• dateRecency: Human-readable posting age surfaced in search results.
• status: Current lifecycle state (e.g., ACTIVE, EXPIRED).
• jobType: Monster classification for posting duration or product type.
• ingestionMethod: Indicates how the ad entered Monster (e.g., ADAPTED_NOW).

Application Details

• apply.applyType: How candidates apply (e.g., ONSITE, INTEGRATED).
• apply.applyUrl: Direct link to the Monster-hosted or external application flow.

Job Posting Payload (jobPosting)

• title: Display title of the job.
• description: Raw HTML description including responsibilities and requirements.
• baseSalary: Normalized compensation object with currency, minValue, maxValue, and unitText (hourly, yearly, etc.).
• datePosted: ISO timestamp when the job was first published.
• employmentType: Array of employment categories such as FULL_TIME, CONTRACTOR, TEMPORARY.
• hiringOrganization: Employer metadata including name, address, and optional logo.
• industry: Monster industry/vertical classification.
• jobLocation: Array of location objects with structured address details.

Provider & Branding

• provider.code: Source identifier (monster for native listings).
• brandingExt: Container for enhanced employer branding assets (empty in the sample).
• jobViewPreferences.hiringOrganizationConfidential: Flag for confidential postings.

Enrichments (enrichments)

• normalizedJobLocations: Monster-normalized addresses plus geo-coordinates and locationId values.
• normalizedTitles: Standardized role titles for analytics (e.g., Salesforce Developer).
• employmentTypes: Canonical employment type objects with localized names.
• companyKb: Knowledge base match for the employer (normalizedCompanyName, normalizedCompanyGuid).
• mescos: Monster occupation codes for classification.
• localizedMonsterUrls: Market-specific URLs for the job ad.
• language: Detected language of the posting content.

Pricing & Compliance

• now.jobAdPricingTypeId: Pricing bucket for the posting.
• now.folderId: Internal folder / campaign identifier.
• now.eeo: Equal employment opportunity questionnaire flags (gender, ethnicity, veteran, disability).

Localization Metadata

• fieldTranslations: Mapping from internal enum values (e.g., EmploymentType) to localized, human-readable strings.

Derived & Policy Attributes

• derivedProperties.promoted: Indicates whether the job receives premium visibility.
• derivedProperties.remote: Monster’s determination of remote eligibility.
• policyDecisions.remotenessSource: Explains why a job was marked remote/non-remote (e.g., CLIENT_SPECIFIED).
• formattedDate: Normalized date string for display.

These explanations mirror the example payload so you can map each field directly when integrating the scraper output into downstream systems.

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Support

• For issues or feature requests, please use the Issues section of this actor.
• If you need customization or have questions, feel free to contact the author:
  • Author's website: https://muhamed-didovic.github.io/
  • Email: muhamed.didovic@gmail.com

Additional Services

• Request customization or whole dataset: muhamed.didovic@gmail.com
• If you need anything else scraped, or this actor customized, email: muhamed.didovic@gmail.com
• For API services of this scraper (no Apify fee, just usage fee for the API), contact: muhamed.didovic@gmail.com
• Email: muhamed.didovic@gmail.com