Contact

If you encounter any issues or need to exchange information, please feel free to contact us through the following link: My profile

Introduction

ZipRecruiter.ie serves as Ireland's gateway to thousands of job opportunities, functioning as a comprehensive job search engine that connects job seekers with employers across various industries. For recruitment agencies, market researchers, HR professionals, and business analysts, manually collecting job data from this platform can be time-consuming and inefficient. The ZipRecruiter.ie Job Scraper addresses this challenge by providing automated extraction of detailed job information, enabling users to gather valuable employment market insights at scale.

The scraper becomes essential when analyzing hiring trends, monitoring competitor job postings, conducting salary research, or building comprehensive job databases. Rather than spending hours manually copying job details, users can extract structured data that supports strategic decision-making in recruitment, business development, and market analysis.

Scraper Overview

The ZipRecruiter.ie Job Scraper is a specialized data extraction tool designed to automatically gather comprehensive job posting information from individual job detail pages. Built with robust retry mechanisms and proxy support, the scraper ensures reliable data collection while maintaining respectful crawling practices.

Key advantages include automated data extraction that eliminates manual copy-paste work, structured output format suitable for analysis and database integration, and built-in error handling with retry logic for improved success rates. The scraper supports proxy configuration to avoid detection and includes residential proxy options for enhanced reliability.

This tool serves recruitment agencies building job databases, HR departments monitoring market trends, researchers analyzing employment patterns, and business intelligence teams tracking industry hiring activities. The scraper transforms raw web data into actionable insights for data-driven recruitment and market analysis.

Input and Output Details

Example url: https://www.ziprecruiter.ie/jobs/403037271-stores-operator-at-panelto-foods

Example Screenshot of jobs information page:

Input Format

The scraper accepts JSON configuration specifying extraction parameters and target URLs. The input structure includes:

{
  "max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided.
  "proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot.
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL" 
    ],
    "apifyProxyCountry": "US" // You should choose an Country that coincides with the Country you want to collect data from
  },
  "urls": [ // Links to jobs list by detail pages.
    "https://www.ziprecruiter.ie/jobs/403037271-stores-operator-at-panelto-foods"
  ]
}

max_retries_per_url sets the maximum retry attempts for each URL if initial extraction fails, ensuring higher success rates for temporary connection issues. proxy configuration enables anonymous scraping using residential proxies, with country selection matching the target job market. urls contains an array of specific job detail page URLs from ZipRecruiter.ie - these must be complete job posting URLs, not search result pages.

Output Format

You get the output from the Ziprecruiter.ie Jobs Details Query Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.

[ // List of jobs information
  {
    "id": "https://www.ziprecruiter.ie/jobs/403037271-stores-operator-at-panelto-foods",
    "url": "https://www.ziprecruiter.ie/jobs/403037271-stores-operator-at-panelto-foods",
    "title": "Stores Operator",
    "description": "About Us<br><br>Established in 2004, Panelto Foods is an Irish food company based in Longford. We produce a range of high-quality, contemporary sandwich breads for the UK and Irish food service markets from our highly automated world-class bakery. Our master bakers have visited every corner of Italy, learning age-old \"Biga\" techniques and gathering traditional recipes from the world's best artisan bakeries.<br><br>Panelto Foods have joined the European Bakery Group, together, we will be able to reach new markets, capitalise further on the growth opportunities within the UK, Ireland and Europe and benefit from the size and scale of the combined platform. There's never been a better time to join us!<br><br>Role<br><br>warehouse duties:<br><br><ul>\n<li>Receiving, checking and receipting deliveries.</li>\n<li>Storing goods, picking and delivering orders around site</li>\n<li>Interfacing directly with customer at all levels.</li>\n<li>Stock checks</li>\n<li>Dispatching finished goods</li>\n<li>Housekeeping within the stores area</li>\n<li>Completing required documentation</li>\n<li>Utilising multiple IT systems to achieve targeted goals.</li>\n</ul><br><br>Qualifications and / or Experience:<br><ul>\n<li>Demonstrable experience in stock management</li>\n<li>Experience in the use of forklifts (Reach and Counter Balance)</li>\n<li>Attention to detail a key attribute of the role</li>\n<li>Self-motivated and ability to work on own initiative</li>\n</ul>",
    "valid_through": "2025-07-11T19:34:11.324Z",
    "date_posted": "2025-06-11",
    "employment_type": "Full Time",
    "direct_apply": false,
    "hiring_organization": {
      "@type": "Organization",
      "name": "Panelto Foods",
      "url": "",
      "same_as": ""
    },
    "job_location": {
      "@type": "Place",
      "geo": {
        "@type": "GeoCoordinates",
        "longitude": -7.7982,
        "latitude": 53.7254
      },
      "address": {
        "@type": "PostalAddress",
        "address_locality": "Longford",
        "address_region": "Leinster",
        "postal_code": "N39",
        "address_country": "Ireland"
      }
    }
  }, // ... Many other jobs details
]

The scraper returns structured job data with the following fields:

• ID: Unique job identifier extracted from ZipRecruiter.ie's system, useful for tracking and deduplication
• URL: Original job posting URL, enabling reference back to the source listing
• Title: Complete job title as posted by employers, essential for role categorization and search functionality
• Description: Full job description including responsibilities, requirements, and company information - the most valuable field for content analysis
• Valid Through: Job posting expiration date, critical for determining listing freshness and urgency
• Date Posted: Original posting date, enabling trend analysis and timing insights
• Employment Type: Classification such as full-time, part-time, contract, or temporary - essential for job market segmentation
• Direct Apply: Boolean indicating whether applications can be submitted directly through ZipRecruiter.ie
• Hiring Organization: Company or employer name, valuable for competitor analysis and employer branding research
• Job Location: Geographic location including city and region, crucial for location-based analysis and candidate matching

Each field provides specific business value: Title and Description enable content analysis and keyword research, Employment Type and Location support market segmentation, while Date Posted and Valid Through facilitate temporal analysis of hiring patterns.

Usage Instructions

Begin by collecting job detail URLs from ZipRecruiter.ie search results - ensure URLs point to specific job postings, not search pages. Configure the input JSON with your target URLs and set appropriate retry limits based on your data quality requirements.

For proxy configuration, select "RESIDENTIAL" proxy type and choose a country matching your target job market (Ireland for Irish positions). This prevents detection and ensures consistent access to job data.

Execute the scraper and monitor progress through provided logging. The tool handles common issues automatically, including temporary page unavailability and rate limiting. If certain URLs consistently fail, verify they remain valid job postings rather than expired listings.

Best practices include processing URLs in batches to manage system resources, implementing appropriate delays between requests, and regularly validating output data quality. Store extracted data in structured formats like CSV or database tables for efficient analysis and reporting.

Benefits and Applications

The scraper delivers significant time savings by automating manual data collection that would otherwise require hours of copying and formatting. Users can process hundreds of job postings in minutes rather than days, enabling real-time market analysis and competitive intelligence.

Practical applications include building comprehensive job databases for recruitment agencies, monitoring hiring trends for business intelligence, tracking competitor job postings and salary offerings, and generating market reports for clients or stakeholders. The structured data format enables direct integration with analytics tools, CRM systems, and reporting dashboards.

Business value includes improved recruitment efficiency through better market understanding, enhanced competitive positioning via salary and benefit benchmarking, and data-driven decision making for HR strategy and resource allocation.

Conclusion

The ZipRecruiter.ie Job Scraper transforms manual job data collection into an automated, scalable process. By providing comprehensive job information in structured format, it enables users to focus on analysis and strategic decision-making rather than time-consuming data gathering. Whether supporting recruitment operations, market research, or business intelligence initiatives, this tool delivers the reliable job market data necessary for informed decision-making in today's competitive employment landscape.

Related Actors

• Ziprecruiter.ie Jobs Search Scraper: Your comprehensive tool for extracting valuable jobs information from Ziprecruiter.ie extensive directory platform.

Your feedback

We are always working to improve Actors' performance. So, if you have any technical feedback about Ziprecruiter.ie Jobs Details Query Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.