SYSTEM all green source s1jobs.com queue 12,491 pages p99 latency 184ms dataflirt.com · scraper/s1jobs-com
RUN · 42 active pipelines · s1jobs.com live

Scottish job data,
at warehouse scale.

We extract job postings, salary bands, recruiter profiles, and regional employment trends from S1Jobs. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.

Jobs extracted
34.2K /day
Salary data points
28.5K /run
Recruiter profiles
1.4K /total
Active pipelines
42
Uptime
99.98%
Data Dictionary

Every field we extract from s1jobs.com

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 s1jobs.com. All fields typed and schema-versioned.

job_idtitlecompany_namelocationsalary_minsalary_maxsalary_typejob_typeposted_datedescriptionurl
job_postings
● 200 OK
"job_id": "893412",
"title": "Senior Python Developer",
"company_name": "TechCorp Scotland",
"location": "Glasgow",
"salary_min": 65000,
"salary_max": 80000,
"job_type": "Permanent",
"posted_date": "2026-05-10"
# job_idtitlecompany_namelocationsalary_minsalary_max
1
2
3

Complete list of extractable fields for Salary Data objects from s1jobs.com. All fields typed and schema-versioned.

job_idtitleindustrysalary_exactsalary_minsalary_maxcurrencyperiodbenefits_text
salary_data
● 200 OK
"job_id": "893412",
"title": "Senior Python Developer",
"salary_min": 65000,
"salary_max": 80000,
"currency": "GBP",
"period": "Annual",
"benefits_text": "Pension, Private Healthcare, Remote options"
# job_idtitleindustrysalary_exactsalary_minsalary_max
1
2
3

Complete list of extractable fields for Company Profiles objects from s1jobs.com. All fields typed and schema-versioned.

company_idnameemployer_typeactive_jobs_countdescriptionwebsite_urllogo_urlhq_location
company_profiles
● 200 OK
"company_id": "C4921",
"name": "TechCorp Scotland",
"employer_type": "Direct Employer",
"active_jobs_count": 14,
"website_url": "https://example.com",
"hq_location": "Glasgow"
# company_idnameemployer_typeactive_jobs_countdescriptionwebsite_url
1
2
3

Complete list of extractable fields for Search Results objects from s1jobs.com. All fields typed and schema-versioned.

keywordlocation_querypage_numberpositionjob_idtitlecompany_nameis_promotedsnippet
search_results
● 200 OK
"keyword": "developer",
"location_query": "Edinburgh",
"page_number": 1,
"position": 3,
"job_id": "893415",
"is_promoted": true,
"snippet": "Looking for an experienced developer to join our core banking team..."
# keywordlocation_querypage_numberpositionjob_idtitle
1
2
3

Complete list of extractable fields for Regional Analytics objects from s1jobs.com. All fields typed and schema-versioned.

regioncitytotal_active_jobsavg_salary_minavg_salary_maxtop_industrytop_employersscraped_at
regional_analytics
● 200 OK
"region": "Central Belt",
"city": "Edinburgh",
"total_active_jobs": 4215,
"avg_salary_min": 35000,
"avg_salary_max": 55000,
"top_industry": "Financial Services",
"scraped_at": "2026-05-12T10:15:00Z"
# regioncitytotal_active_jobsavg_salary_minavg_salary_maxtop_industry
1
2
3

Capabilities

Complete Scottish employment market coverage

Our S1Jobs scraper targets regional job listings, parsing complex salary strings, unmasking recruiter identities, and normalising location data across Scotland.

Job Listing Extraction

Capture full job titles, descriptions, requirements, and metadata directly from the posting page.

Salary Parsing

Convert raw salary strings into structured numeric fields including minimum, maximum, currency, and period.

Employer Classification

Distinguish between direct employers and recruitment agencies based on profile data and posting behaviour.

Location Normalisation

Standardise location strings into specific cities, regions, and remote work flags.

Promoted Listing Detection

Identify paid placements and sponsored jobs within search results to analyse advertising spend.

Historical Tracking

Monitor posting duration and track when jobs are removed or republished to gauge time-to-hire.

Contract Type Mapping

Categorise roles into permanent, contract, temporary, or part-time structures.

Scheduled Delta Updates

Receive only new or modified job postings daily, reducing redundant data processing.

Anti-Bot Circumvention

Maintain access through rate limits using residential proxy rotation and intelligent request delays.

// engagement pipeline

From search query to warehouse record

Brief in. Clean data out.

Define Scope
d 0

Provide target keywords, locations, or industry sectors. We design the extraction schema together.

Pipeline Build
d 2–4

We configure Scrapy crawlers, proxy rotation, and session management for s1jobs.com.

Validation & QA
d 4–6

Schema validation, null-rate checks, and salary parsing verification before full launch.

Delivery
ongoing

JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.

Under the hood

Handling job board scraping complexities

Job boards deploy rate limits and structure changes to protect their listings. We manage the infrastructure so you receive clean records.

pipeline-monitor · s1jobs.com · live ● active
// fingerprinting
Identity rotation
TLS fingerprintrandomised
User-agentrotated
IP poolresidential
Challenges blocked0
// pagination
Page coverage
48,291 pages queued running
// observability
Pipeline health
99.9%
uptime
142ms
p99 lat
0.3%
null rate
2
alerts
Anti-bot layer
Residential proxy rotation

Job boards strictly rate-limit datacenter IPs. We route requests through UK-based residential proxies to maintain consistent access without triggering blocklists.

Data cleaning
Salary string normalisation

Salaries are often entered as free text. Our pipeline uses regex patterns to extract accurate numerical bands, currencies, and pay periods from unstructured descriptions.

State management
Pagination tracking

Deep search results often shift during a crawl as new jobs are posted. We manage state precisely to ensure zero duplicate records and zero missed postings across hundreds of pages.

Efficiency
Change detection

We maintain a state index of all active jobs. Subsequent runs only emit new postings or status changes, keeping your downstream ingestion efficient.

Reliability
Monitoring and alerting

We track null rates on critical fields like salary and location. If a DOM change breaks a selector, our team is alerted and deploys a fix before your next scheduled run.

Applications

Who uses S1Jobs data

Teams across industries use s1jobs.com data to build competitive products and smarter operations.

01
Competitor Benchmarking

Employers monitor salary bands and benefit offerings across specific regions to remain competitive in the Scottish market.

02
Lead Generation

Recruitment agencies identify companies actively hiring directly to pitch their staffing services.

03
Labour Market Analytics

Economic researchers track hiring volume, skill demand, and regional employment trends across Scotland.

04
Job Board Aggregation

Global job aggregators syndicate Scottish listings to provide comprehensive coverage for their users.

05
Salary Guide Production

Consultancies aggregate real-time compensation data to publish accurate, region-specific salary reports.

06
Academic Research

Universities analyse job descriptions to align curriculum development with current industry skill requirements.

Why DataFlirt

"S1Jobs holds the definitive dataset for the Scottish employment market, but extracting structured salary and recruiter data requires continuous pipeline maintenance."

Job boards frequently alter their front-end structures and deploy rate limiting to block aggregators. DataFlirt handles the proxy rotation, session management, and schema maintenance required to keep your warehouse synced with the live market.

Technical Spec

S1Jobs scraper — technical capabilities

Everything supported by our s1jobs.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.

JavaScript rendering
Playwright sessions for dynamic content and delayed rendering
Supported
CAPTCHA bypass
Automated solver integration for challenge pages
Supported
Residential proxy rotation
UK-based ISP proxies to prevent geographical blocking
Supported
Change detection
Delta exports containing only new or modified job postings
Supported
Salary normalisation
Regex extraction of numeric bands from free-text fields
Supported
Promoted job flagging
Boolean flags for sponsored or featured listings
Supported
Pagination traversal
Complete extraction of deep search result pages
Supported
Recruiter contact emails
Hidden behind application walls or obfuscated
Partial
Candidate CV database
Requires authenticated employer login and active subscription
Partial
Application submission
Transactional workflow requiring user authentication
Partial
Infrastructure

Infrastructure powering the S1Jobs pipeline

Open-source tooling on proven cloud infra — no vendor lock-in, full observability.

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheus
Scrapy + Playwright Stack

Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.

Residential Proxy Infrastructure

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.

Cloud-Native Orchestration

Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.

Output & Delivery

Your data, your destination

Data delivered to where your team already works — no new tooling required.

JSON
Newline-delimited or nested objects
CSV
Flat file with typed columns
XLS
Excel compatible format for analyst teams
Parquet
Columnar format for data warehouse ingestion
AWS S3
Direct bucket delivery
Webhook
HTTP POST per record
API
REST endpoint to query historical data
BigQuery
Streamed directly into your dataset
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About s1jobs.com scraping, legality, and pipeline operations.

Ask us directly →
Is scraping S1Jobs legal?

Scraping publicly available job postings is generally permissible. DataFlirt extracts only public, non-authenticated listing and company data. We do not extract personal candidate data or bypass authentication walls. Clients should review terms of service and consult legal counsel for their specific use case.

How do you handle rate limits?

We use UK residential ISP proxies and enforce strict concurrency limits with randomised request delays to mimic standard user traffic patterns.

How fresh is the data?

Pipelines typically run on a daily cadence, ensuring you receive all new postings within 24 hours of publication. More frequent runs can be configured upon request.

Can you parse complex salary strings?

Yes. We deploy custom regex patterns to extract minimum and maximum values, currencies, and pay periods from free-text salary descriptions.

Do you track when a job expires?

Yes. We maintain a state database of active jobs. When a previously seen job is no longer available, it is flagged as expired in the next delta export.

Can I filter by specific Scottish regions?

Yes. Pipelines can be configured to target specific locations like Glasgow, Edinburgh, or Aberdeen, or extract the entire available catalogue.

Can I request a sample dataset?

Yes. We provide a sample run of up to 500 job postings during the scoping phase to validate schema fit and data quality.

$ dataflirt scope --new-project --source=s1jobs.com ready

Tell us what
to extract.
We do the rest.

20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily sync of all Glasgow tech jobs or a complete Scottish market export, we scope, build, and operate the pipeline.

hello@dataflirt.com · Bengaluru · IST · typical reply < 4h
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