We extract job postings, salary ranges, company metadata, and source aggregator URLs from Jooble across 70+ countries. 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 jooble.org. All fields typed and schema-versioned.
"job_id": "847291047", "title": "Senior Data Engineer", "company": "TechCorp Solutions", "location": "London, UK", "salary_min": 75000, "salary_max": 95000, "currency": "GBP", "job_type": "Full-time", "source_site": "linkedin.com"
| # | job_id | title | company | location | salary_min | salary_max |
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Complete list of extractable fields for Salary Data objects from jooble.org. All fields typed and schema-versioned.
"job_id": "847291047", "title": "Senior Data Engineer", "company": "TechCorp Solutions", "salary_text": "£75,000 - £95,000 a year", "parsed_min": 75000, "parsed_max": 95000, "currency": "GBP", "pay_period": "YEARLY"
| # | job_id | title | company | location | salary_text | parsed_min |
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Complete list of extractable fields for Company Data objects from jooble.org. All fields typed and schema-versioned.
"company_name": "TechCorp Solutions", "job_count": 42, "locations_active": "['London', 'Manchester', 'Remote']", "average_salary_offered": 68500, "top_job_titles": "['Software Engineer', 'Data Analyst', 'Product Manager']", "hiring_velocity": "High", "last_seen": "2026-05-12T08:14:00Z"
| # | company_name | job_count | industry | locations_active | average_salary_offered | top_job_titles |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Search Results objects from jooble.org. All fields typed and schema-versioned.
"keyword": "python developer", "location_query": "Berlin", "page_number": 1, "position": 3, "job_id": "992837162", "title": "Python Backend Developer", "company": "Fintech GmbH", "is_promoted": true, "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | location_query | page_number | position | job_id | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Location Metrics objects from jooble.org. All fields typed and schema-versioned.
"country": "Germany", "city": "Berlin", "total_active_jobs": 14290, "top_companies": "['Fintech GmbH', 'AutoGroup', 'HealthTech AG']", "top_categories": "['IT', 'Sales', 'Engineering']", "remote_percentage": 24.5, "scraped_at": "2026-05-12T10:00:00Z"
| # | country | region | city | total_active_jobs | top_companies | top_categories |
|---|---|---|---|---|---|---|
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Our Jooble scraper handles geographic routing, keyword pagination, and multi-language aggregation across 70+ country domains - with proxy rotation and anti-bot circumvention built in.
Title, company, location, full description, and job type parsed directly from the search results and job detail pages.
Extract raw salary strings and normalise them into minimum, maximum, currency, and pay period structures.
Scrape jooble.org, uk.jooble.org, de.jooble.org and 70+ other regional subdomains with localised proxy routing.
Capture the original source board or corporate career site URL where the job was initially posted.
Run massive combinatorial keyword and location searches to map entire industry hiring landscapes.
Filter and flag remote, hybrid, and on-site roles based on Jooble's metadata and description parsing.
Distinguish between sponsored job placements and organic search results to analyse employer ad spend.
Track when jobs are added, modified, or removed. We emit diffs to keep your warehouse state accurate.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences.
Brief in. Clean data out.
Provide keywords, locations, or specific regional domains. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for Jooble.
Schema validation, null-rate checks, salary parsing accuracy, and location normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Jooble employs rate limiting and geographic blocking to protect its aggregated database. Here is how we maintain extraction stability.
Jooble heavily restricts cross-border traffic. Querying de.jooble.org from a US IP triggers CAPTCHAs or returns empty sets. We route requests through residential proxies matching the target country to ensure accurate, unblocked results.
Broad search queries yield thousands of pages. We implement cursor management and search-space chunking (by date or micro-location) to extract the full corpus without hitting Jooble's hard pagination limits.
Job types, salary periods, and location formats vary wildly across Jooble's regional sites. Our pipeline maps localised metadata into a single unified schema, so a job in Japan looks structurally identical to a job in Brazil.
For large labour market monitors, we maintain a hash index of last-seen jobs. Subsequent runs only push new postings or closed roles - 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 layout changes - and respond before you notice.
Economists and research firms track job volume, remote work trends, and hiring velocity across regions.
HR teams monitor rival companies to see which roles they are expanding and in which geographic markets.
Compensation analysts aggregate salary ranges for specific titles to ensure their offers remain competitive.
Sales teams identify companies hiring for specific technologies or roles as a signal for software or service needs.
Niche job boards enrich their own platforms by backfilling relevant listings from Jooble's massive index.
Hedge funds use real-time job posting volumes by sector as a leading indicator of corporate growth or contraction.
"Jooble aggregates the global labour market into a single interface, but querying that data at scale requires a dedicated, geographically distributed extraction pipeline."
Most teams underestimate the investment required: reliable Jooble scraping requires localised residential proxies, deep pagination handling, and daily selector maintenance across 70+ regional subdomains. DataFlirt absorbs that complexity so your engineers can focus on the analysis - not the infrastructure.
Everything supported by our jooble.org 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 mapped to Jooble's 70+ operational countries. Rotation happens per-request to prevent geographic blocking.
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 jooble.org scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available job postings is generally permissible under applicable law, targeting public, non-authenticated data. We do not extract personal candidate data, circumvent authentication walls, or violate GDPR. Clients should consult legal counsel for specific use cases.
We use country-specific residential ISP proxies, randomised request timing, and concurrent connection limits. Our crawlers distribute load across thousands of IPs to remain well below threshold triggers.
We support all 70+ regional subdomains, including uk.jooble.org, de.jooble.org, fr.jooble.org, and in.jooble.org. The schema is unified regardless of the source language.
Pipelines can be configured for daily, hourly, or near real-time execution based on your target keyword and location set.
Yes. Jooble acts as an aggregator. We extract the destination URL that points to the original corporate career site or primary job board where the role was posted.
Our smallest packages start at a defined set of keywords or locations with weekly delivery. For global tracking, we price based on data volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 job postings for your specific search criteria to validate schema fit and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off regional extraction or a continuous global labour market feed - we scope, build, and operate the pipeline. Tell us what you need.
