ZipRecruiter Jobs Scraper

Extract thousands of job listings from ZipRecruiter in minutes. Get structured job data including titles, companies, salaries, locations, and direct application links. Perfect for recruitment agencies, job aggregators, HR analytics, and market research.

What does ZipRecruiter Jobs Scraper do?

ZipRecruiter Jobs Scraper is an automated data extraction tool that collects job posting information from ZipRecruiter.com - one of America's leading job marketplaces with millions of active listings.

This scraper enables you to:

• Collect job listings at scale - Gather hundreds or thousands of job postings in a single run
• Search by keywords and location - Target specific job titles, skills, or geographic areas
• Filter by posting date - Focus on fresh job listings posted within your timeframe
• Export structured data - Download clean, organized data in JSON, CSV, Excel, or other formats
• Automate job monitoring - Schedule regular runs to track new opportunities

Why scrape ZipRecruiter?

ZipRecruiter aggregates job postings from over 100 job boards and company career pages. Extracting this data allows you to:

• Build comprehensive job databases for your platform
• Monitor hiring trends across industries and locations
• Analyze salary ranges and compensation patterns
• Track competitor hiring activities
• Provide fresh job opportunities to candidates
• Research employment markets for business intelligence

How to use ZipRecruiter Jobs Scraper

Step 1: Configure your search

You can search for jobs in two ways:

Option A: Use search parameters

Enter your desired job title/keywords and location:

{
    "searchQuery": "software engineer",
    "location": "New York, NY",
    "maxJobs": 100
}

Option B: Use a direct search URL

Copy a search URL from ZipRecruiter.com:

{
    "searchUrl": "https://www.ziprecruiter.com/jobs-search?search=data+analyst&location=Remote",
    "maxJobs": 200
}

Step 2: Run the scraper

Click Start to begin extracting job listings. The scraper will automatically:

1. Navigate to ZipRecruiter and execute your search
2. Extract all job listings from the search results
3. Paginate through multiple pages to collect more jobs
4. Save structured data to your dataset

Step 3: Export your data

Once complete, download your job data in your preferred format:

• JSON - Structured data for applications and APIs
• CSV - Compatible with Excel and Google Sheets
• Excel - Ready for analysis and reporting
• XML - Enterprise system integration

Input parameters

Parameter	Type	Description
searchUrl	String	Direct ZipRecruiter search URL. Overrides other search parameters if provided.
searchQuery	String	Job title or keywords to search for (e.g., "software engineer", "marketing manager").
location	String	City, state, or "Remote" (e.g., "San Francisco, CA", "Chicago, IL").
maxJobs	Integer	Maximum number of job listings to extract. Default: 50.
radius	String	Search radius in miles: 5, 10, 15, 25, 50, or 100.
daysBack	String	Filter by posting date: any, 1, 3, 7, 14, or 30 days.
proxyConfiguration	Object	Proxy settings. Residential proxies recommended for best results.

Note: Either searchUrl OR searchQuery/location is required.

Output data

Each extracted job listing contains the following information:

{
    "title": "Senior Software Engineer",
    "company": "Tech Solutions Inc",
    "companyUrl": "https://www.ziprecruiter.com/co/tech-solutions",
    "location": "New York, NY (Remote)",
    "salary": "$120,000 - $180,000 per year",
    "jobType": "Full-time",
    "postedDate": "2 days ago",
    "url": "https://www.ziprecruiter.com/jobs/abc123xyz",
    "jobId": "abc123xyz",
    "scrapedAt": "2026-01-15T10:30:00.000Z"
}

Output fields explained

Field	Description
title	Job position title
company	Name of the hiring company
companyUrl	Link to company profile on ZipRecruiter
location	Job location including remote work indicator if applicable
salary	Salary range when provided by employer
jobType	Employment type (Full-time, Part-time, Contract, etc.)
postedDate	When the job was posted (e.g., "3 days ago")
url	Direct link to job posting
jobId	Unique job identifier
scrapedAt	Timestamp when data was extracted

Use cases

For recruitment agencies

Automate candidate sourcing by extracting fresh job listings daily. Match candidates to opportunities faster with automated data collection across multiple locations and industries.

For job aggregation platforms

Build comprehensive job databases by collecting listings from ZipRecruiter. Combine with data from other sources to offer users the most complete job search experience.

For HR and talent analytics

Track hiring trends, analyze salary ranges by location and role, and monitor competitor hiring activities. Make data-driven decisions with comprehensive employment market data.

For career services

Provide job seekers with curated, up-to-date opportunities. Filter by location, salary, and job type to match candidates with their ideal positions.

For market research

Analyze employment markets, identify in-demand skills, and understand industry hiring patterns. Export data for custom analysis and reporting.

Input examples

Remote tech jobs

{
    "searchQuery": "python developer",
    "location": "Remote",
    "maxJobs": 100,
    "daysBack": "7"
}

Healthcare positions in Texas

{
    "searchQuery": "registered nurse",
    "location": "Texas",
    "maxJobs": 200,
    "radius": "50"
}

Recent finance jobs in New York

{
    "searchQuery": "financial analyst",
    "location": "New York, NY",
    "maxJobs": 150,
    "daysBack": "3",
    "radius": "25"
}

Entry-level marketing positions

{
    "searchQuery": "marketing coordinator",
    "location": "Los Angeles, CA",
    "maxJobs": 75,
    "radius": "25"
}

Tips for best results

1. Use specific search terms - More targeted keywords return more relevant results
2. Set appropriate limits - Start with smaller maxJobs values to test your search
3. Filter by date - Use daysBack to focus on fresh listings
4. Use residential proxies - Required for reliable data extraction
5. Schedule regular runs - Set up recurring schedules to monitor new job postings

Integrations

Connect ZipRecruiter Jobs Scraper to your workflow:

• Webhooks - Receive notifications when scraping completes
• API access - Integrate with your applications via Apify API
• Scheduled runs - Automate daily, weekly, or custom schedules
• Dataset exports - Direct links to download extracted data

Frequently asked questions

How many jobs can I extract?

You can extract thousands of job listings in a single run. Set the maxJobs parameter to control the number of listings collected.

How fresh is the data?

Data is extracted in real-time directly from ZipRecruiter. Use the daysBack filter to focus on recently posted jobs.

What proxy should I use?

Residential proxies are recommended for best results. The default configuration uses Apify's residential proxy network.

Can I schedule regular runs?

Yes, you can set up scheduled runs to automatically collect new job listings on a daily, weekly, or custom basis.

What export formats are supported?

Export your data in JSON, CSV, Excel (XLSX), XML, RSS, or HTML format directly from the Apify Console.

Support

If you have questions or need assistance:

• Check the input parameters and examples above
• Review the output data format
• Contact support through Apify Console

Legal and compliance

This scraper collects only publicly available job listing information. Users are responsible for ensuring their use complies with applicable laws and ZipRecruiter's terms of service.