We extract job postings, salary bands, company profiles, and recruiter intelligence from Jobsite.co.uk. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Job Postings objects from jobsite.co.uk. All fields typed and schema-versioned.
"job_id": "98451234", "title": "Senior Python Developer", "company_name": "TechCorp UK", "location_raw": "London (Central)", "salary_text": "£75,000 - £90,000 per annum", "job_type": "Permanent", "posted_date": "2026-10-12T08:30:00Z"
| # | job_id | title | company_name | location_raw | salary_text | job_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Company Profiles objects from jobsite.co.uk. All fields typed and schema-versioned.
"company_id": "C-4921", "name": "TechCorp UK", "industry": "Information Technology", "size_category": "501-1000", "active_jobs_count": 42, "website_url": "https://techcorp.co.uk", "profile_url": "https://www.jobsite.co.uk/company/techcorp-uk-4921"
| # | company_id | name | industry | size_category | website_url | logo_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Salary Intelligence objects from jobsite.co.uk. All fields typed and schema-versioned.
"job_id": "98451234", "job_title": "Senior Python Developer", "raw_salary_text": "£75,000 - £90,000 per annum", "parsed_min": 75000, "parsed_max": 90000, "currency": "GBP", "period": "YEARLY"
| # | job_id | job_title | raw_salary_text | parsed_min | parsed_max | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Recruiter Data objects from jobsite.co.uk. All fields typed and schema-versioned.
"recruiter_id": "R-8832", "agency_name": "London Tech Recruitment", "contact_name": "Sarah Jenkins", "active_listings": 156, "average_salary_listed": 65000, "location": "London", "phone_number": "020 7946 0123"
| # | recruiter_id | agency_name | contact_name | phone_number | active_listings | |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from jobsite.co.uk. All fields typed and schema-versioned.
"keyword": "data engineer", "location_query": "Manchester", "page_number": 1, "position": 3, "job_id": "98451999", "is_promoted": true, "scraped_at": "2026-10-12T09:15:22Z"
| # | keyword | location_query | page_number | position | job_id | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Jobsite scraper handles every layer of the platform: job listings, salary bands, company profiles, and recruiter intelligence — with JavaScript rendering, session management, and anti-bot circumvention built in.
Extract job title, company, location, contract type, posted date, and full HTML/text descriptions for every listing.
Convert unstructured salary strings into structured numeric minimums, maximums, currencies, and pay periods.
Identify sponsored and premium job slots to analyse competitor advertising spend and recruitment urgency.
Monitor job lifecycles by tracking exactly when a listing is removed, providing time-to-fill metrics.
Distinguish between direct employer listings and recruitment agency posts, including agency contact details.
Capture raw location text, remote work flags, and hybrid working arrangements specified in the job description.
Extract and normalise contract variations: permanent, contract, temporary, part-time, and freelance.
Identify cross-posted roles within the StepStone/Totaljobs network to prevent duplicate counting in your warehouse.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide job titles, locations, company names, or industry codes. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for jobsite.co.uk.
Schema validation, null-rate checks, salary-parsing accuracy, and duplicate detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Job boards deploy strict rate limits and bot detection to protect their inventory. Here is how we stay resilient.
Jobsite employs strict rate limiting and IP reputation checks. Our crawlers use UK-based residential ISP proxies with realistic browser fingerprints and full cookie session management to blend in with legitimate job seekers.
Search results and application flows rely on JavaScript. We run full Playwright browser sessions to trigger lazy-loaded elements, expand descriptions, and capture data hidden behind dynamic UI components.
Job descriptions are highly unstructured. Our selector strategy uses multiple fallback chains — CSS selectors, XPath, and regex pattern matching — to reliably extract salaries, skills, and contract types regardless of formatting.
We maintain a state index of active job IDs. Subsequent runs only push new listings, updates to existing listings, and flags for jobs that have expired — giving you a perfect time-series view of the labour market.
Every run emits structured logs to our observability stack. We alert on listing volume drops, null-rate spikes in salary fields, and schema drift, ensuring your downstream analytics are never compromised.
Economists and research firms track hiring volume, skill demand, and remote work trends across UK regions and industries.
HR teams and compensation analysts aggregate parsed salary bands to benchmark their own offers against real-time market rates.
Enterprises monitor competitor hiring velocity, strategic role openings, and geographic expansion signals.
B2B sales teams targeting HR departments identify companies actively hiring to time their outreach effectively.
Niche job boards and career portals syndicate listings to backfill their own inventory and improve user retention.
Hedge funds and quantitative analysts use job posting volume as a leading indicator of corporate health and economic growth.
"Jobsite holds a critical segment of the UK labour market, but extracting structured salary and skill data requires parsing unstructured descriptions at scale."
Most teams underestimate the investment required: reliable Jobsite scraping requires residential proxies, full JavaScript rendering, CAPTCHA handling, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our jobsite.co.uk scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About jobsite.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available job listings is generally permissible under UK law, provided it does not extract personal identifiable information (PII) or breach copyright limits. DataFlirt targets only public, non-authenticated job postings, company profiles, and salary data. We do not extract candidate CVs. Clients should review Jobsite's ToS and consult legal counsel for their specific use cases.
We use UK-based residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for CAPTCHA rate spikes in real time and trigger solver queues automatically.
Yes. Job descriptions often contain salaries like '£40k - 50k DOE'. Our pipeline includes a normalisation layer that parses these strings into structured minimum, maximum, currency, and pay period fields.
Jobsite is part of the StepStone group and shares inventory with Totaljobs. We capture the underlying job IDs and can deduplicate records across the network so your warehouse does not overcount active vacancies.
We can configure pipelines to run hourly for high-priority searches, or daily for full-market sweeps. Change-detection logic ensures you receive updates the moment a job status changes.
Yes. By maintaining a state index of active job IDs, we can flag exactly when a listing is removed from the search index, providing accurate time-to-fill metrics.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of London tech roles or a continuous UK-wide salary monitoring feed — we scope, build, and operate the pipeline. Tell us what you need.
