We extract IT job listings, salary bands, tech stack requirements, and company profiles from CWJobs. 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 cwjobs.co.uk. All fields typed and schema-versioned.
"job_id": "98472103", "title": "Senior Python Backend Engineer", "company_name": "FinTech Solutions Ltd", "location": "London", "salary_min": 75000.0, "salary_max": 90000.0, "job_type": "Permanent", "remote_status": "Hybrid", "posted_date": "2026-10-14T08:30:00Z"
| # | job_id | title | company_name | location | salary_min | salary_max |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Company Profiles objects from cwjobs.co.uk. All fields typed and schema-versioned.
"company_id": "C74829", "name": "FinTech Solutions Ltd", "industry": "Financial Services", "size": "501-1000", "active_jobs_count": 14, "rating": 4.2, "location": "London"
| # | company_id | name | industry | size | website | active_jobs_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Salary Data objects from cwjobs.co.uk. All fields typed and schema-versioned.
"job_id": "98472103", "salary_raw": "£75,000 - £90,000 per annum + bonus", "salary_min": 75000.0, "salary_max": 90000.0, "currency": "GBP", "period": "annual", "bonus_included": true
| # | job_id | title | salary_raw | salary_min | salary_max | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Recruiter Details objects from cwjobs.co.uk. All fields typed and schema-versioned.
"job_id": "98472103", "agency_name": "Tech Talent Partners", "consultant_name": "Sarah Jenkins", "total_active_listings": 142, "is_direct_employer": false, "agency_url": "https://www.cwjobs.co.uk/jobs-at/tech-talent-partners"
| # | job_id | agency_name | consultant_name | contact_email | contact_phone | total_active_listings |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from cwjobs.co.uk. All fields typed and schema-versioned.
"keyword": "python developer", "location_search": "London", "page_num": 1, "position": 3, "job_id": "98472103", "sponsored": false, "scraped_at": "2026-10-14T09:15:22Z"
| # | keyword | location_search | page_num | position | job_id | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our CWJobs scraper handles every layer of the platform: job listings, dynamic salary bands, recruiter profiles, and search results. We manage the JavaScript rendering, session state, and anti-bot circumvention.
Extract title, full description, skills, location, and contract type directly from the listing page.
Parse raw salary strings into structured minimum, maximum, currency, and period fields.
Identify specific programming languages, frameworks, and tools from unstructured job descriptions.
Categorise roles into permanent, contract, temporary, or part time arrangements.
Classify positions as fully remote, hybrid, or office based using location metadata.
Flag whether a job is posted by a recruitment agency or a direct employer.
Deep scraping of search results for any keyword or location combination.
Detect when jobs are closed or removed to calculate time to hire metrics.
Configure continuous pipelines at hourly or daily cadences with change detection.
Brief in. Clean data out.
Provide keywords, locations, or company URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for cwjobs.co.uk.
Schema validation, null-rate checks, and sample data review before full launch.
JSON / CSV / 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.
CWJobs is part of the StepStone group and uses strict bot mitigation. Our crawlers use UK residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass Cloudflare and PerimeterX.
Many job details and apply buttons load dynamically. We run full Playwright browser sessions with JavaScript execution to capture data that headless HTTP clients miss entirely.
Job descriptions are often unstructured HTML. We use a combination of CSS selectors, XPath, and regex pattern matching to reliably extract salary bands, tech stacks, and contract types regardless of formatting.
We maintain a hash index of active job IDs. Subsequent runs only push new jobs or status changes, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, missing fields, and coverage drops. We respond before you notice.
HR teams and recruiters track salary bands across specific tech stacks to ensure competitive compensation.
Monitor hiring velocity and role types at competing firms to deduce their product roadmaps.
Identify companies actively hiring direct and pitch agency services for hard to fill roles.
Track the rise and fall of demand for specific frameworks or programming languages over time.
Niche job boards sync relevant IT listings to their own platforms to increase inventory.
Financial analysts use IT hiring volume and salary trends as a macro indicator for the UK tech sector.
"CWJobs holds the most concentrated dataset of UK IT hiring demand, but extracting clean salary bands and tech stacks requires a managed pipeline."
Most teams underestimate the investment required: reliable CWJobs 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 cwjobs.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 and deduplication. Playwright handles JavaScript rendering, cookie sessions, and interaction flows to bypass bot protection.
We maintain pools of UK residential ISP proxies. Rotation happens per request with sticky sessions where required to maintain access.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. State is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About cwjobs.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available job listings is generally permissible under applicable law. DataFlirt targets only public, non authenticated job and company data. We do not extract personal candidate data or circumvent authentication walls.
We use UK residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for CAPTCHA rate spikes and trigger solver queues automatically.
Yes. We use regex and NLP parsing to extract minimum, maximum, currency, and pay period from unstructured salary strings.
We can configure pipelines to run hourly for high priority searches, or daily for full category sweeps. You define the cadence.
Yes. By maintaining a state table of active job IDs, we can flag when a job URL returns a 404 or is marked closed, allowing you to calculate time to hire.
Our packages start at defined keyword or category sweeps with weekly delivery. For full site extraction, we price based on volume and frequency. Contact us for a quote.
Yes. We provide a sample run of up to 500 job listings as part of the pre engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily feed of new React developer roles or a complete historical archive of UK tech salaries, we build and operate the pipeline. Tell us what you need.
