We extract job postings, salary bands, location data, company profiles, and skill requirements from Totaljobs. 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 Listings objects from totaljobs.com. All fields typed and schema-versioned.
"job_id": "98471239", "title": "Senior Python Developer", "employer_name": "TechCorp UK", "employer_type": "Direct Employer", "contract_type": "Permanent", "working_hours": "Full-time", "remote_flag": true
| # | job_id | title | url | employer_name | employer_type | contract_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Salary & Benefits objects from totaljobs.com. All fields typed and schema-versioned.
"job_id": "98471239", "salary_min": 75000, "salary_max": 90000, "salary_currency": "GBP", "salary_period": "Annual", "exact_salary_text": "£75,000 - £90,000 per annum + bonus", "bonus_mentioned": true
| # | job_id | salary_min | salary_max | salary_currency | salary_period | benefits_list |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Company Data objects from totaljobs.com. All fields typed and schema-versioned.
"company_id": "EMP-4921", "company_name": "TechCorp UK", "industry": "Information Technology", "totaljobs_profile_url": "https://www.totaljobs.com/employer/techcorp-uk-4921", "active_jobs_count": 34, "logo_url": "https://www.totaljobs.com/logo/techcorp.png", "headquarters_location": "London"
| # | company_id | company_name | industry | company_size | website_url | totaljobs_profile_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location & Commute objects from totaljobs.com. All fields typed and schema-versioned.
"job_id": "98471239", "location_name": "London", "region": "South East", "postal_code_prefix": "EC1A", "wfh_days": 3, "coordinates_lat": 51.5171, "coordinates_lon": -0.0972
| # | job_id | location_name | region | postal_code_prefix | commute_time_mins | transport_modes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from totaljobs.com. All fields typed and schema-versioned.
"keyword": "python developer", "location_query": "London", "position": 4, "job_id": "98471239", "promoted_flag": false, "urgent_flag": true, "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | location_query | position | job_id | title | snippet |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Totaljobs scraper handles every layer of the platform: job search pagination, dynamic salary widgets, employer profiles, and location mapping - with JavaScript rendering and UK IP routing built in.
Title, HTML body, reference numbers, contract types, and working hours extracted directly from the listing page.
Parse raw text like '£40k - 50k pro rata' into structured min, max, currency, and period fields.
Extract employer details, active job counts, and agency vs direct employer classification.
Traverse thousands of search result pages for any keyword or location combination without missing records.
Capture exact location strings, regional data, and remote working flags associated with each role.
Bypass geo-blocks and bot protection using ISP-grade residential IPs located in the United Kingdom.
Identify new, updated, or expired jobs by comparing current crawls against a historical hash index.
Distinguish between organic listings and paid promoted slots in search engine result pages.
Run one-off bulk exports or configure continuous pipelines at daily or real-time cadences.
Brief in. Clean data out.
Provide job titles, locations, or specific employer names. We design the extraction schema together.
We configure Scrapy crawlers, UK proxy rotation, session management, and parsing logic for totaljobs.com.
Schema validation, null-rate checks, salary parsing accuracy, and data completeness verification.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Job boards invest heavily in scraping detection to protect their inventory. Here is how we stay resilient.
Totaljobs uses aggressive rate limiting and geo-blocking. Our crawlers use UK residential ISP proxies with realistic browser fingerprints to blend in with normal applicant traffic.
Salary insights and similar job recommendations load dynamically. We run full browser sessions to capture data that headless HTTP clients miss entirely.
Job board layouts change frequently. Our selector strategy uses multiple fallback chains per field so a layout change does not break your data pipeline overnight.
We maintain a hash index of last-seen jobs. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, missing fields, and coverage drops, responding before you notice.
Track hiring trends, skill demand, and job volume across different UK regions and industries.
Analyse advertised salary bands to ensure competitive compensation packages for new hires.
Monitor rival companies to see which roles they are recruiting for and their expansion plans.
Identify companies hiring directly to pitch recruitment agency services and staffing solutions.
Enrich niche job boards with backfilled listings filtered by specific industries or contract types.
Hedge funds and economists correlate job posting velocity with economic health and company performance.
"Totaljobs contains the highest fidelity signal for UK labour demand, but extracting it requires bypassing aggressive bot protection."
Most teams underestimate the compute required to scrape job boards at scale. Reliable Totaljobs extraction requires UK residential proxies, full JavaScript rendering for dynamic pagination, and strict anomaly monitoring. DataFlirt manages this complexity so your engineers focus on analysis, not infrastructure.
Everything supported by our totaljobs.com 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.
We maintain pools of UK residential ISP proxies. Rotation happens per-request with sticky sessions where required to bypass rate limits.
Pipelines run on AWS Lambda and ECS. 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 totaljobs.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available job postings is generally permissible. DataFlirt targets only public, non-authenticated job and company data. We do not extract personal candidate data or violate GDPR.
We use UK residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to prevent blocking.
Pipelines typically run on a daily cadence, capturing all new jobs and updates within a 4-6 hour window. Streaming pipelines can achieve sub-60-minute latency for specific keywords.
Yes. We apply regex-based parsing to extract minimum salary, maximum salary, currency, and payment period from raw text strings.
Our smallest packages start at 10,000 jobs per week. For full UK market coverage, we price based on volume and delivery frequency.
No. We strictly extract publicly available job postings and employer profiles. We do not extract candidate CVs or personal contact information.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of tech roles or a continuous feed of the entire UK job market, we scope, build, and operate the pipeline. Tell us what you need.
