Jobsite.co.uk Jobs Scraper: Extract UK Job Listings at Scale

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What Is Jobsite.co.uk?

Jobsite.co.uk is one of the United Kingdom's largest online job boards, hosting hundreds of thousands of active vacancies across all industries and career levels. From entry-level positions to executive roles, Jobsite connects employers with job seekers nationwide. Extracting structured data from Jobsite listings manually is labour-intensive and error-prone — the Jobsite Jobs Scraper automates this process, delivering clean, standardised records ready for analysis or integration.

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Overview

The Jobsite Jobs Scraper extracts comprehensive job listings from Jobsite.co.uk search pages and detail pages, converting unstructured HTML into structured JSON records. It is designed for:

• Job aggregators building multi-source job feeds and comparison platforms
• Recruiters and HR teams monitoring market trends and competitor activity
• Labour market researchers studying UK employment demand and salary patterns
• Career coaches and advisors tracking industry-specific job growth
• Data analysts building dashboards on hiring volume, skills demand, and regional opportunities

Key strengths include configurable item limits, robust error handling with optional URL failure tolerance, and comprehensive output covering job details, company info, salary data, skills, and posting metadata.

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Input Format

The scraper accepts a straightforward JSON configuration:

{
  "urls": [
    "https://www.jobsite.co.uk/jobs/admin",
    "https://www.jobsite.co.uk/jobs/marketing"
  ],
  "max_items_per_url": 200,
  "ignore_url_failures": true
}

Input Parameters

Field	Type	Description	Example
urls	Array	URLs of Jobsite job listing pages to scrape. Supports category pages (e.g., /jobs/admin), search result pages, or filtered lists.	["https://www.jobsite.co.uk/jobs/admin"]
max_items_per_url	Integer	Maximum number of job listings to extract per URL. Useful for controlling data volume and scraper runtime.	200
ignore_url_failures	Boolean	If true, the scraper continues running if some URLs fail; if false, stops on first error. Recommended true for bulk runs.	true

Best practice: Start with max_items_per_url: 50-100 for testing, then increase for production runs. Use category or filtered URLs (not the homepage) to target specific job types.

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Output Format

Example Output Record

{
  "id": 107707362,
  "title": "Admin",
  "labels": [],
  "url": "/tp-out?urlfragment=%2Fjob%2Fadmin%2Fjob-talent-job107707362%3FsearchCriteria%3DAdmin%26src%3Dsearch%26position%3D1%26source%3Djobsite%26WT.mc_id%3DA_PT_CrossBrand_Jobsite%26page%3D1",
  "company_id": 236510,
  "company_name": "Job&Talent",
  "company_url": "https://www.jobsite.co.uk/jobs/jobtalent?cmpId=236510&q=Job%26Talent&cmp=1",
  "company_logo_url": "https://www.totaljobs.com/CompanyLogos/68d5d7065d9743f687c6e38ba0d15a87.png",
  "date_posted": "2026-07-17T12:53:54.483Z",
  "location": "Roestock, Hatfield (AL10), AL10 9TQ",
  "is_anonymous": false,
  "salary": "Up to £14.45 per hour",
  "post_code": "AL10 9TQ",
  "partnership": {
    "is_partnership_job": false,
    "show_partnership_label": false,
    "is_backfilled": true,
    "source_site_friendly_name": "Totaljobs.com",
    "is_cross_posted": false
  },
  "unified_salary": null,
  "work_from_home": "",
  "meta_data": {
    "position_on_page": 1,
    "position_absolute": 1
  },
  "harmonised_id": "8a6e7ccf-5c65-481e-9792-fbce97285f43",
  "job_posting_sequence": 1,
  "period_posted_date": "2026-07-17T12:53:54.483Z",
  "publish_from_date": "2026-07-17T12:53:54.483Z",
  "publish_to_date": "2026-08-14T12:53:54.483Z",
  "has_future_posting": false,
  "fingerprint_count": 1,
  "section": "main",
  "top_labels": [
    {
      "label": "NEW",
      "type": "NEW"
    }
  ],
  "skills": [],
  "text_snippet": "At Job&Talent, we are recruiting for an Admin Transport to work with a leading company in the food production sector in Hatfield. This role is responsible for overseeing day-to-day transportation logistics and ensuring the smooth coordination of all transport activities. * 4 IN 4 OFF * Variable shifts from 36 to 48 hours per week * 14.45 GBP hourly * 6 months of experience in an administrative role * Proficiency in Excel * Good level of English * Positive attitude * Team player with strong communication skills * Punctual and reliable * Proactive attitude * Coordinate daily transportation logistics and schedules * Maintain accurate administrative records and documentation * Communicate effectively with transport teams and warehouse staff * Ensure the smooth and efficient flow of all transport activities * Opportunity to work in a fast-paced logistics environment",
  "cv_to_job_score": null,
  "is_highlighted": false,
  "is_sponsored": false,
  "travel_time": null,
  "unified_travel_time": null,
  "is_top_job": false,
  "is_traffic_from_partner": false,
  "from_url": "https://www.jobsite.co.uk/jobs/admin"
}

Each scraped job listing returns a rich record with 32+ fields, organised below by category:

Identification & URLs

Field	Meaning
id	Unique Jobsite identifier for the listing
url	Direct link to the full job posting page
harmonised_id	Standardised ID for cross-platform job matching
fingerprint_count	Count of duplicate/similar listings detected

Job Title & Classification

Field	Meaning
title	Job title as displayed on the listing
labels	Categorical tags (e.g., "Full-time", "Permanent")
top_labels	Priority labels highlighted on search results
section	Jobsite section or category (e.g., IT, Finance)
skills	Array of required or preferred skills extracted from job description

Company Information

Field	Meaning
company_name	Employer name or hiring organisation
company_id	Unique Jobsite company identifier
company_url	Direct link to company's profile or website
company_logo_url	URL of company logo image
is_anonymous	true if the employer name is hidden from candidates
partnership	Flag indicating if the listing is from a recruitment partner or agency
is_traffic_from_partner	true if traffic to this listing originates from a partner integration

Location & Salary

Field	Meaning
location	Job location description (e.g., "London, Greater London")
post_code	UK postcode or postcode district of the role
work_from_home	Flexibility flag: true if remote or hybrid work is available
travel_time	Estimated commute time from a reference point (if calculated)
unified_travel_time	Standardised travel time across Jobsite's platform
salary	Salary information as displayed (may include ranges or "Competitive")
unified_salary	Normalised salary figure for comparison across listings

Posting Timeline & Status

Field	Meaning
date_posted	When the listing was originally posted
period_posted_date	Bucket/period of the posting date (e.g., "Today", "This week")
publish_from_date	Date when the listing became visible
publish_to_date	Date when the listing expires or was removed
has_future_posting	true if the posting has a scheduled future publish date
job_posting_sequence	Order of posting within a batch or campaign

Visibility & Promotion

Field	Meaning
is_highlighted	true if the listing has paid highlighting (e.g., bold, colour)
is_sponsored	true if the listing is a sponsored/featured placement
is_top_job	true if marked as a top or featured job on Jobsite

Content & Matching

Field	Meaning
text_snippet	Short text excerpt from the job description (preview text)
meta_data	Additional structured metadata (JSON object)
cv_to_job_score	Relevance score comparing job requirements to candidate CVs (if available)

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How to Use

1. Identify target URLs — Browse Jobsite.co.uk and find job listing pages you want to scrape (e.g., category pages like /jobs/admin, or filtered search results).
2. Prepare configuration — Add URLs to the urls array. Set max_items_per_url based on how many listings you need (start with 50-100 for testing).
3. Enable error tolerance — Set ignore_url_failures: true to allow the scraper to skip problematic URLs without stopping the entire run.
4. Run the scraper — Start the actor and monitor progress in the log. The scraper will traverse listings and extract structured data.
5. Export results — Download the output as JSON, CSV, or Excel for analysis, import into databases, or feed into pipelines.

Common tips:

• Use category-specific URLs (e.g., /jobs/marketing) rather than broad search pages for cleaner, more targeted results.
• If scraping multiple pages, stagger runs to avoid overloading the server; set reasonable max_items_per_url limits.
• Check salary and unified_salary fields together — salary may vary in format, but unified_salary provides a numeric value for analysis.

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Use Cases & Business Value

• Job market intelligence: Track hiring volume, salary trends, and skills demand by industry and region
• Competitive recruitment: Monitor competitor job postings, benefits, and compensation packages
• Job aggregation: Build multi-source job boards combining Jobsite with other platforms
• Labour research: Analyse UK employment trends, emerging skills, and industry growth patterns
• Recruiter tools: Automate lead generation by identifying hiring companies and roles
• Career analytics: Study wage progression, role availability, and job market health

By automating data extraction, the Jobsite Jobs Scraper converts Jobsite's vast job database into actionable insights, eliminating hours of manual work and enabling data-driven hiring and market research decisions.

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Conclusion

The Jobsite.co.uk Jobs Scraper is a powerful tool for anyone needing large-scale, structured UK job data. With 32+ output fields covering job details, company information, salary, skills, and posting metadata, it delivers everything needed to build job aggregators, conduct labour market research, or power recruitment analytics. Start scraping today and unlock insights into the UK job market.