We extract job listings, salary bands, employer profiles, and applicant requirements from Seek.com.au. 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 seek.com.au. All fields typed and schema-versioned.
"job_id": "71392841", "title": "Senior Data Engineer", "advertiser_name": "TechCorp Australia", "location": "Sydney", "classification": "Information & Communication Technology", "work_type": "Full Time", "posted_date": "2026-05-12T04:22:00Z", "url": "https://www.seek.com.au/job/71392841"
| # | job_id | title | advertiser_name | advertiser_id | location | area |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Salary Data objects from seek.com.au. All fields typed and schema-versioned.
"job_id": "71392841", "salary_min": 140000, "salary_max": 160000, "salary_type": "Base + Super", "basis": "Annual", "currency": "AUD", "original_string": "$140k - $160k p.a. + Superannuation", "estimated_band": false
| # | job_id | salary_min | salary_max | salary_type | basis | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Company / Advertiser objects from seek.com.au. All fields typed and schema-versioned.
"advertiser_id": "49281", "name": "TechCorp Australia", "active_jobs_count": 42, "industry": "Technology", "company_size": "500-1000", "rating": 4.2, "reviews_count": 128
| # | advertiser_id | name | profile_url | logo_url | active_jobs_count | industry |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Search Results objects from seek.com.au. All fields typed and schema-versioned.
"keyword": "Data Engineer", "location": "Sydney", "position": 1, "job_id": "71392841", "is_promoted": true, "is_premium": false, "listed_date": "2026-05-12", "teaser_text": "Join our growing data team to build scalable pipelines..."
| # | keyword | location | position | job_id | is_promoted | is_premium |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Requirements & Skills objects from seek.com.au. All fields typed and schema-versioned.
"job_id": "71392841", "required_skills": "['Python', 'SQL', 'AWS', 'Snowflake']", "experience_years": 5, "education_level": "Bachelor Degree", "residency_requirement": "Australian Citizen or PR", "clearance_level": "NV1"
| # | job_id | required_skills | experience_years | education_level | certifications | residency_requirement |
|---|---|---|---|---|---|---|
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Our Seek scraper handles every layer of the platform: job listings, salary bands, advertiser profiles, and category metadata — with GraphQL interception, session management, and anti-bot circumvention built in.
Title, description HTML, advertiser, location, classifications, and work type — scraped at job ID level.
Extract minimum, maximum, and basis types from structured fields and parse unstructured salary text blocks.
Identify StandOut, Premium, and Promoted job ads to understand advertiser spend and urgency.
Navigate Seek's specific classification and sub-classification hierarchy across all Australian states and territories.
Company profiles, active job counts, and advertiser IDs to track which agencies and direct employers are hiring.
Track time-to-fill, listing duration, and reposting frequency across the platform.
Track organic vs promoted search positions for any keyword and location combination.
Unified schema support for both seek.com.au and seek.co.nz.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Brief in. Clean data out.
Provide keywords, locations, classifications, or advertiser IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for seek.com.au.
Schema validation, null-rate checks, salary parsing accuracy, and sample listings before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Seek uses modern frontend frameworks and aggressive bot protection. Here's how we stay resilient — and why teams choose managed infrastructure over DIY.
Seek uses Apollo GraphQL for its frontend. Instead of brittle DOM scraping, our Playwright interceptors capture the raw GraphQL JSON payloads, ensuring 100% data fidelity and immunity to cosmetic UI changes.
Seek employs sophisticated bot mitigation. Our crawlers use Australian residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Seek caps search results at 10,000 listings. For full-market sweeps, our pipeline automatically subdivides queries by granular location, sub-classification, and salary brackets to ensure zero data loss.
For daily market monitoring, we maintain a hash index of last-seen values per job ID. Subsequent runs only push diffs — reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on schema drift in GraphQL queries, null-rate spikes, and coverage drops — responding before you notice.
Economists and researchers track hiring trends, skills demand, and regional job growth across Australia.
HR teams aggregate salary bands by role, seniority, and location to maintain competitive compensation packages.
Agencies identify companies hiring directly to pitch recruitment services and track competitor agency activity.
Enterprises monitor competitor hiring velocity and strategic role openings to infer product roadmaps.
Niche job boards and programmatic advertising platforms sync Seek listings to enrich their own inventory.
Hedge funds and analysts correlate job volume and time-to-fill metrics with macroeconomic indicators.
"Seek.com.au holds the definitive pulse of the Australian labour market — but extracting that data at scale requires bypassing sophisticated bot protection and aggressive pagination limits."
Most teams underestimate the investment required: reliable Seek scraping requires residential proxies, GraphQL payload interception, advanced bot mitigation circumvention, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our seek.com.au 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 GraphQL interception. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across AU/NZ 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 seek.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available job listings is generally permissible. DataFlirt targets only public, non-authenticated job ads, salary bands, and employer profiles. We do not extract personal applicant data, resumes, or circumvent employer authentication walls. Clients should review Seek's ToS and consult legal counsel for specific use cases.
We use AU residential ISP proxies, full Playwright browser sessions, and request timing modelled on human behaviour. By intercepting GraphQL payloads rather than parsing DOM, we reduce the number of required page loads and lower our detection footprint.
Real-time streaming pipelines achieve sub-60-minute latency for new job postings. Full market refreshes across all classifications complete within a 12-hour window depending on volume.
Seek often requires employers to input salary bands for search filtering, even if they aren't displayed in the ad text. Our pipeline iteratively tests search filters to isolate the hidden salary bracket for listings that omit explicit numbers.
Our smallest packages start at a defined set of classifications or keywords with weekly delivery. For full-market daily sweeps, we price based on compute volume and delivery frequency.
Seek restricts search pagination to 10,000 results. Our orchestrator detects when a query hits this limit and automatically subdivides the request by granular location codes and salary brackets until all sub-queries return fewer than 10,000 results.
Absolutely. We provide a sample run of up to 1,000 listings or specific classifications as part of the pre-engagement scoping process — so you can validate schema fit and salary parsing accuracy before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily dump of tech roles or a continuous national market feed — we scope, build, and operate the pipeline. Tell us what you need.
