We extract job descriptions, salary brackets, employer profiles, and skill taxonomies from Jobsdb. 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 jobsdb.com. All fields typed and schema-versioned.
"job_id": "71349822", "title": "Senior Cloud Infrastructure Engineer", "company_name": "TechLogix Asia", "location": "Hong Kong Island", "employment_type": "Full Time", "salary_min": 45000, "salary_max": 65000, "currency": "HKD"
| # | job_id | title | company_name | location | employment_type | salary_min |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Company Profiles objects from jobsdb.com. All fields typed and schema-versioned.
"company_id": "C99281", "name": "TechLogix Asia", "industry": "Information Technology", "company_size": "101-500 employees", "active_jobs_count": 14, "rating": 4.2, "location": "Quarry Bay, Hong Kong"
| # | company_id | name | industry | website | company_size | overview |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Salary Data objects from jobsdb.com. All fields typed and schema-versioned.
"job_id": "71349822", "role_title": "Senior Cloud Infrastructure Engineer", "salary_min": 45000, "salary_max": 65000, "currency": "HKD", "pay_period": "Monthly", "visible_on_posting": true
| # | job_id | role_title | industry | experience_level | salary_min | salary_max |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Skills & Requirements objects from jobsdb.com. All fields typed and schema-versioned.
"job_id": "71349822", "required_skills": "['AWS', 'Kubernetes', 'Terraform']", "min_experience_years": 5, "education_level": "Bachelor Degree", "languages": "['English', 'Cantonese']", "certifications": "['AWS Certified Solutions Architect']"
| # | job_id | required_skills | preferred_skills | min_experience_years | education_level | languages |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Search Results objects from jobsdb.com. All fields typed and schema-versioned.
"keyword": "Data Engineer", "location": "Singapore", "position": 3, "job_id": "8823190", "title": "Data Engineer (GCP)", "company_name": "DataFlow Systems", "promoted_badge": false
| # | keyword | location | page_number | position | job_id | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Jobsdb scraper handles the complexities of the SEEK group architecture, extracting structured job postings, salary bands, and employer data while bypassing anti-bot measures.
Title, description, responsibilities, and benefits scraped at the individual job level directly from the SEEK GraphQL API.
Extract minimum, maximum, currency, and pay period details, normalising inconsistent text entries into structured integers.
Company size, industry classification, overview text, and active job count extracted for every listing.
Parse unstructured job descriptions into structured skill arrays, education requirements, and experience levels.
Map specific districts, cities, and remote or hybrid work eligibility tags accurately.
Handle Jobsdb's underlying GraphQL API and Next.js hydration states to extract data faster than DOM parsing.
Iterate through thousands of search result pages without hitting rate limits or triggering CAPTCHAs.
Normalise Jobsdb's specific industry and job function categories for easier downstream aggregation.
Track job posting duration, expiry dates, and time-to-fill metrics across historical runs.
Run daily diffs to capture new postings and detect removed listings automatically.
Brief in. Clean data out.
Provide target industries, locations, or keywords. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and GraphQL query interception for jobsdb.com.
Schema validation, null-rate checks, salary outlier detection, and sample payloads before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Job boards aggressively protect their listings. Here is how we ensure reliable data delivery without interruption.
Jobsdb relies heavily on the SEEK group's GraphQL APIs. We intercept these network requests directly, extracting clean JSON payloads rather than parsing complex, frequently changing DOM structures.
Job boards aggressively block datacenter IPs to protect their listings. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management.
Platform updates roll out frequently across SEEK properties. We use multiple fallback chains per field, including GraphQL nodes, CSS selectors, and Next.js state extraction, ensuring pipeline continuity.
For large job catalogues, we maintain a hash index of last-seen values per listing. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, volume drops, and schema drift, responding before you notice.
Economic researchers and government bodies track hiring volume, salary trends, and skill demand across Asian markets.
HR teams monitor rival companies to benchmark salary bands, track hiring velocity, and identify expansion plans.
Job aggregators and niche career portals synchronise Jobsdb listings to enrich their own platforms.
Education providers analyse emerging skill requirements to design relevant curriculum and certification programs.
Sales teams target companies actively hiring for specific roles, indicating new budget or software requirements.
ML teams use structured job descriptions and requirements to train candidate matching and NLP models.
"Jobsdb holds the most comprehensive hiring and salary intent data across Asia, but accessing it systematically requires bypassing complex GraphQL architectures."
Most teams underestimate the investment required: reliable Jobsdb scraping requires intercepting SEEK group APIs, managing residential proxies, handling pagination limits, and daily schema maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our jobsdb.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. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across APAC 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 jobsdb.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available job listings is generally permissible. DataFlirt targets only public, non-authenticated job postings, salary data, and company profiles. We do not extract personal candidate data, circumvent authentication walls, or violate PII regulations.
We distribute requests across a large pool of residential proxies in the APAC region, randomise request timing, and intercept GraphQL payloads directly to minimise the total number of requests required per listing.
We support all Jobsdb domains and their SEEK group counterparts across Hong Kong, Singapore, Thailand, Indonesia, Malaysia, and the Philippines.
Pipelines can be configured for daily or hourly runs depending on your requirements. Change detection ensures that only new, updated, or expired listings are processed and delivered.
We extract all salary data available in the page source or GraphQL response. If a salary is strictly suppressed server-side by the employer, it cannot be extracted, but we capture all minimum, maximum, and currency data that is transmitted to the client.
Our minimum engagements typically start at a defined set of keywords or specific industry categories with daily or weekly delivery. Contact us for a custom quote based on your volume requirements.
Absolutely. 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 sync of tech roles in Hong Kong or a complete historical archive of Asian market salaries, we scope, build, and operate the pipeline. Tell us what you need.
