Jobberman Job Scraper

Extract comprehensive job listings from Jobberman.com, Nigeria's leading job platform. Collect detailed job data including titles, companies, locations, descriptions, salary ranges, experience requirements, education levels, and employment types at scale. Perfect for job market research, recruitment analytics, and talent intelligence.

Features

• Rich Job Data - Extract 20+ data points per listing including descriptions, salary ranges, experience requirements, and education levels
• Smart Search & Filtering - Search by keywords, locations, and posting dates with automatic URL validation
• Automatic Pagination - Collect jobs across multiple search pages to reach your target count
• Full Descriptions - Get complete job descriptions in both HTML and plain text formats
• Structured Data Extraction - Automatically parses schema.org job posting data for maximum accuracy
• Proxy Support - Configurable proxy settings for reliable large-scale collection

Use Cases

Job Market Research

Analyze current hiring trends across Nigerian industries. Understand salary benchmarks, in-demand skills, required experience levels, and geographic distribution of opportunities. Track how job requirements evolve over time.

Recruitment Agency Intelligence

Build comprehensive candidate pipelines by monitoring job openings across companies. Identify high-demand roles, emerging job categories, and competitive salary ranges to better advise clients and candidates.

Career Advisory

Help job seekers understand qualification requirements, salary expectations, and career progression paths. Provide data-driven guidance on education requirements, experience expectations, and industry trends.

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Input Parameters

Parameter	Type	Required	Default	Description
keyword	String	No	"software engineer"	Job title or keywords to search for
location	String	No	"Lagos"	Geographic location to filter results
posted_date	String	No	"anytime"	Filter by posting date: anytime, 24h, 7d, 30d
startUrl	String	No	-	Custom Jobberman search URL to start from
results_wanted	Integer	No	20	Maximum number of jobs to collect
max_pages	Integer	No	3	Maximum number of search pages to visit
proxyConfiguration	Object	No	-	Proxy settings for reliable scraping

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Output Data

Each job in the dataset contains:

Field	Type	Description
url	String	Direct URL to the job listing
title	String	Job position title
company	String	Hiring company name
location	String	Job location
date_posted	String	Date the job was posted
description_html	String	Full job description in HTML format
description_text	String	Plain text version of the description
job_type	String	Employment type (Full Time, Part Time, Contract)
salary_range	String	Salary information with currency
category	String	Job function category
industry	String	Industry sector
listing_id	Number	Internal listing identifier
seniority	String	Experience level (Entry, Mid, Senior, Executive)
salary_visibility	String	Salary display type
valid_through	String	Date until which the listing is valid
direct_apply	Boolean	Whether the listing supports direct application
experience_months	Number	Minimum experience required in months
education_requirement	String	Minimum education qualification required
qualifications	String	Required qualifications or seniority level
schema_id	String	Structured data identifier
employment_types	Array	Additional employment type classifications
_source	String	Source platform identifier

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Usage Examples

Basic Job Search

Search for software engineering jobs in Lagos:

{
    "keyword": "software engineer",
    "location": "Lagos",
    "results_wanted": 20
}

Advanced Filtering

Get recent marketing jobs with specific date filter:

{
    "keyword": "marketing manager",
    "location": "Nigeria",
    "posted_date": "7d",
    "results_wanted": 50,
    "max_pages": 5
}

Custom URL Scraping

Scrape from a specific search results page:

{
    "startUrl": "https://www.jobberman.com/jobs?q=data+scientist",
    "results_wanted": 30,
    "max_pages": 3
}

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Sample Output

{
    "url": "https://www.jobberman.com/listings/senior-software-engineer-abc123",
    "title": "Senior Software Engineer",
    "company": "Tech Innovations Ltd",
    "location": "Lagos, Nigeria",
    "date_posted": "2026-06-15T00:00:00.000000Z",
    "description_html": "<div>We are looking for a skilled software engineer...</div>",
    "description_text": "We are looking for a skilled software engineer to join our team...",
    "job_type": "Full Time",
    "salary_range": "NGN 500,000 - NGN 800,000 / month",
    "category": "Engineering & Technology",
    "industry": "IT & Telecoms",
    "listing_id": 1234567,
    "seniority": "Senior level",
    "salary_visibility": "salary range",
    "valid_through": "2026-09-15T00:00:00.000000Z",
    "direct_apply": true,
    "experience_months": 60,
    "education_requirement": "Bachelor's Degree",
    "qualifications": "Senior level",
    "schema_id": "https://www.jobberman.com/#/schema/JobPosting/listing-1234567",
    "employment_types": ["Full Time"],
    "_source": "jobberman.com"
}

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Tips for Best Results

Optimize Search Terms

Use specific job titles and industry keywords for more targeted results. Combine multiple terms to capture variations. Test different location names to expand geographic coverage.

Configure Proxies

Enable proxy settings when collecting large volumes of data. Residential proxies provide better reliability. Match proxy regions to your target locations for best results.

Manage Collection Size

Start with smaller result counts (20-50) for initial testing. Increase limits for production runs. Use the max_pages parameter to cap search depth and control runtime.

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Integrations

Connect your data with:

• Google Sheets - Export for analysis and reporting
• Airtable - Build searchable job databases
• Slack - Get job alert notifications
• Webhooks - Send to custom endpoints
• Make - Create automated data workflows
• Zapier - Trigger actions based on new jobs

Export Formats

• JSON - For developers and API integration
• CSV - For spreadsheet analysis
• Excel - For business reporting
• XML - For system integrations

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Frequently Asked Questions

How many jobs can I collect?

You can collect up to 500 jobs per run. The results_wanted parameter lets you set your target, and the actor automatically paginates to reach it.

Can I search across multiple locations?

Yes, use the location parameter or startUrl to target different geographic areas. You can also run multiple searches with different location values.

What data fields are available?

The actor extracts 20+ fields including title, company, location, salary range, experience requirements, education level, job type, industry, and full descriptions.

Is proxy configuration required?

Not required but strongly recommended for larger collections. Without a proxy, you may encounter rate limiting on extensive runs.

How often should I run the scraper?

Run as frequently as needed. Job postings on Jobberman are updated daily, so running daily or weekly ensures fresh data.

Can I use a custom search URL?

Yes, provide any Jobberman search URL in the startUrl parameter. This gives you full control over filters, sorting, and search parameters.

What happens if a listing page fails?

The actor handles failures gracefully - it logs the error and continues with remaining listings, ensuring maximum data collection.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• API Reference
• Scheduling Runs

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Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with website terms of service and applicable laws. Use data responsibly and respect rate limits.