We extract job postings, salary estimates, company metadata, and location intelligence from Adzuna. 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 adzuna.com. All fields typed and schema-versioned.
"job_id": "149283746", "title": "Senior Data Engineer", "company": "TechCorp Ltd", "location": "London, UK", "salary_min": 75000.0, "salary_max": 95000.0, "contract_type": "Permanent", "remote_flag": true
| # | job_id | title | company | location | salary_min | salary_max |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Salary Data objects from adzuna.com. All fields typed and schema-versioned.
"keyword": "Data Engineer", "location": "London", "average_salary": 82500.0, "lower_percentile": 60000.0, "upper_percentile": 110000.0, "sample_size": 1423, "currency": "GBP", "trend_yoy": 4.2
| # | keyword | location | average_salary | lower_percentile | upper_percentile | sample_size |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Company Intel objects from adzuna.com. All fields typed and schema-versioned.
"company_name": "TechCorp Ltd", "job_count": 42, "avg_salary_offered": 68000.0, "hiring_velocity": "High", "industry": "IT & Telecoms", "active_listings": 42, "historical_listings": 318
| # | company_name | job_count | avg_salary_offered | top_locations | hiring_velocity | industry |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Location Stats objects from adzuna.com. All fields typed and schema-versioned.
"region": "South East", "city": "Reading", "total_jobs": 4192, "avg_salary": 45200.0, "remote_percentage": 22.4, "growth_rate": 1.8, "top_categories": "['IT', 'Engineering']"
| # | region | city | total_jobs | top_categories | avg_salary | remote_percentage |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Search SERP objects from adzuna.com. All fields typed and schema-versioned.
"keyword": "python developer", "location": "Manchester", "page": 1, "position": 3, "job_id": "99882233", "sponsored": false, "extracted_at": "2026-05-12T09:14:33Z"
| # | keyword | location | page | position | job_id | title |
|---|---|---|---|---|---|---|
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Our Adzuna scraper handles the platform's aggregation layer: job normalisation, salary extraction, deduplication, and geolocation mapping with anti-bot circumvention built in.
Extract complete job descriptions, requirements, and benefits text without truncation.
Capture stated salaries, estimated bands, and Adzuna ValueMyCV stats normalised to annual figures.
Extract precise location data, including region, city, and remote work flags.
Adzuna aggregates from multiple sources. We apply hashing to identify and merge duplicate postings.
Monitor job URLs over time to determine exact time-to-fill and listing expiration dates.
Categorise postings into permanent, contract, part-time, or freelance based on metadata and text analysis.
Distinguish between paid placements and organic search results for any given keyword.
Map jobs to Adzuna's internal industry categories for macro-level labour market analysis.
Run continuous pipelines at daily or weekly cadences to maintain an accurate view of the job market.
Brief in. Clean data out.
Provide keywords, locations, or company names. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for adzuna.com.
Schema validation, null-rate checks, and duplicate detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Job aggregators present unique scraping challenges. Here is how we maintain data quality.
Adzuna pulls jobs from thousands of boards. The same job often appears multiple times. We hash the title, company, and location to flag duplicates and deliver a clean dataset.
Location strings vary wildly across postings. We normalise location data into structured fields for city, region, and country, standardising remote work indicators.
Deep search results often truncate after a certain page depth. We use precise date-range filtering and micro-location queries to extract the entire corpus without hitting pagination walls.
Job boards actively block datacenter IPs. Our crawlers use residential proxies with realistic browser fingerprints to maintain access and prevent IP bans.
Adzuna updates its DOM structure and search parameters regularly. We use multi-layer fallback chains for CSS selectors to ensure uninterrupted data flow.
Economists and researchers track job volume and salary trends across regions to gauge economic health.
HR teams monitor competitor hiring velocity and salary bands to optimise their own recruitment strategies.
Compensation platforms ingest Adzuna salary estimates to build accurate, real-time pay scale models.
Sales teams identify companies actively hiring for specific roles as a signal for software or service intent.
Recruitment agencies track sponsored job placements to optimise their own ad spend and placement strategies.
Hedge funds correlate job posting volume by sector with public company performance indicators.
"Adzuna aggregates millions of job signals globally. Querying this raw data is the fastest way to understand labour demand and compensation trends."
Extracting clean data from an aggregator requires more than basic HTTP requests. It requires sophisticated deduplication, salary string normalisation, and residential proxy networks to bypass bot protection. DataFlirt manages this infrastructure so your data science team can focus on modelling labour trends.
Everything supported by our adzuna.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 and retry logic. Playwright handles JavaScript rendering and interaction flows for complex search interfaces.
We maintain pools of residential ISP proxies across target regions. Rotation happens per-request to prevent bot detection and IP bans.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About adzuna.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available job postings is generally permissible under applicable law. DataFlirt targets only public, non-authenticated job and company data. We do not extract personal user data or circumvent authentication walls.
Pipelines can run daily or intra-day depending on your requirements. We use change-detection to push new listings and status updates rapidly.
Adzuna aggregates from multiple sources, leading to duplicates. We apply a hashing algorithm based on title, company, and location to flag and filter redundant listings before delivery.
We support all Adzuna regional domains, including adzuna.co.uk, adzuna.com, adzuna.com.au, and adzuna.ca, using a normalised schema across all regions.
Yes. We maintain a time-series record for each job URL, allowing you to calculate time-to-fill metrics and track salary changes over the listing lifecycle.
We deliver data in JSON, CSV, or Parquet directly to S3, BigQuery, Snowflake, or via Webhook for real-time integration.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily feed of tech jobs in London or a global salary index, we scope, build, and operate the pipeline. Tell us what you need.
