We extract job listings, salary estimates, company metadata, and ATS routing URLs from Simplyhired. 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 Listings objects from simplyhired.com. All fields typed and schema-versioned.
"job_id": "sh_9f8a7b6c5d4", "title": "Senior Backend Engineer", "company_name": "Fintech Solutions Ltd", "location": "London, UK", "remote_flag": true, "job_type": "Full-time", "salary_min": 75000, "salary_max": 95000, "salary_period": "YEARLY", "posted_date": "2023-10-24T08:30:00Z"
| # | job_id | title | company_name | location | remote_flag | job_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Salary Data objects from simplyhired.com. All fields typed and schema-versioned.
"job_id": "sh_9f8a7b6c5d4", "title": "Senior Backend Engineer", "company": "Fintech Solutions Ltd", "estimated_salary_min": 72000, "estimated_salary_max": 98000, "currency": "GBP", "period": "YEARLY", "source_type": "SimplyHired Estimate", "confidence_score": 0.85
| # | job_id | title | company | location | estimated_salary_min | estimated_salary_max |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Company Profiles objects from simplyhired.com. All fields typed and schema-versioned.
"company_name": "Fintech Solutions Ltd", "industry": "Financial Services", "employee_count": "501-1000", "hq_location": "London, UK", "rating": 4.2, "review_count": 342, "active_jobs_count": 14, "website_url": "https://example.com"
| # | company_name | industry | employee_count | hq_location | rating | review_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from simplyhired.com. All fields typed and schema-versioned.
"keyword": "data engineer", "search_location": "Remote", "page_number": 1, "position": 3, "job_id": "sh_1a2b3c4d5e", "sponsored_flag": false, "urgency_badge": "Urgently hiring", "scraped_at": "2023-10-25T14:22:10Z"
| # | keyword | search_location | page_number | position | job_id | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location Analytics objects from simplyhired.com. All fields typed and schema-versioned.
"city": "Austin", "state": "TX", "country": "US", "total_active_jobs": 14205, "remote_job_count": 3150, "avg_salary_estimate": 88500, "top_hiring_companies": "['TechCorp', 'HealthSystems Inc']", "scraped_at": "2023-10-25T00:00:00Z"
| # | city | state | country | total_active_jobs | remote_job_count | avg_salary_estimate |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Simplyhired scraper handles search pagination, dynamic DOM structures, and rate limits to deliver clean, normalised job market datasets.
Extract raw HTML or clean text for the entire job description, including qualifications, responsibilities, and benefits lists.
Simplyhired routes outgoing clicks through internal tracking URLs. We resolve these chains to capture the final applicant tracking system (ATS) URL.
Extract both employer-provided compensation and SimplyHired estimated salaries, normalised into min/max fields with currency and period.
Capture company name, industry, rating, review count, and active job volume directly from the SERP and company profile pages.
Target simplyhired.com, simplyhired.co.uk, simplyhired.ca, and other regional domains with localised search parameters.
Accurately flag remote, hybrid, and strictly on-site roles based on location metadata and description text parsing.
Convert relative timestamps (e.g., '3 days ago') into absolute ISO 8601 timestamps based on the crawl execution time.
Differentiate organic job postings from sponsored placements to analyse employer advertising spend behaviour.
Receive only new, updated, or removed listings. We hash job IDs and content to prevent duplicate records in your warehouse.
Brief in. Clean data out.
Provide keywords, locations, or company names. We map the required fields and set the extraction frequency.
We configure Scrapy crawlers, residential proxy rotation, and DOM parsers specifically tuned for Simplyhired's layout.
We validate data types, check null rates on critical fields like salary, and verify ATS URL resolution.
Clean JSON, CSV, or Parquet files pushed directly to your AWS S3 bucket or data warehouse.
Job aggregators deploy aggressive rate limiting and complex redirect chains. Here is how we maintain extraction stability.
Simplyhired heavily throttles datacenter IPs. We route all search requests through residential ISP proxies, rotating IPs dynamically to maintain high concurrency without triggering blocks.
Job links on Simplyhired are masked by internal tracking redirects. Our pipeline follows these HTTP 301/302 chains to extract the final destination URL (e.g., Workday, Greenhouse, Lever).
Job boards frequently alter CSS classes to break scrapers. We use XPath structural patterns and text-based heuristics to ensure fields like salary and job type are extracted even when class names change.
Because Simplyhired aggregates from multiple sources, identical jobs often appear multiple times. We generate deterministic hashes based on title, company, and location to deduplicate records before delivery.
Simplyhired caps search results at a specific page depth. For broad queries, we automatically partition the search space by location radius and date filters to extract the complete corpus.
Economic researchers and hedge funds track job posting volume by sector and region as a leading indicator of economic health.
HR tech platforms aggregate SimplyHired estimated salaries to build compensation models and advise clients on competitive pay rates.
Sales teams monitor new job postings for specific roles (e.g., 'VP of Engineering') to identify companies with active budgets and immediate needs.
Corporate strategy teams track competitor hiring velocity and role types to infer product roadmaps and expansion plans.
Niche industry job boards backfill their inventory by extracting relevant postings from generalist aggregators like Simplyhired.
Commercial real estate firms analyse remote vs on-site hiring trends to forecast office space demand in specific metropolitan areas.
"Simplyhired aggregates millions of job postings into a single index, but extracting that normalised labour market data requires dedicated infrastructure."
Job boards frequently alter DOM structures and deploy rate limits to prevent automated extraction. DataFlirt handles the proxy rotation, session management, and CSS selector maintenance so your team receives structured labour market signals without managing the underlying collection infrastructure.
Everything supported by our simplyhired.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 manages request concurrency and deduplication. Playwright handles JavaScript execution for dynamic elements and infinite scroll implementations.
Requests are routed through ISP-grade residential proxies to bypass datacenter IP bans and maintain high-volume extraction rates.
Pipelines run on AWS infrastructure with Airflow managing scheduling, retries, and dependency execution. Postgres maintains state for change detection.
Data delivered to where your team already works — no new tooling required.
About simplyhired.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available job postings is generally permissible under applicable law, supported by precedent such as hiQ v. LinkedIn. We extract only public, non-authenticated data and do not bypass login screens or extract personal user information.
Simplyhired aggregates from multiple sources, meaning the same job can appear multiple times. We generate a unique hash based on the job title, company name, and location to filter out duplicates before delivery.
Yes. Simplyhired often masks the destination URL with an internal redirect. Our pipeline follows these HTTP redirects to extract the final ATS URL (e.g., Workday, Greenhouse) where the application is hosted.
We support daily, weekly, or custom schedules. For most labour market analysis use cases, a daily sync provides the optimal balance of freshness and compute efficiency.
Yes. When an employer does not provide a salary, Simplyhired often displays an estimated range. We extract this data and flag the source type so you can differentiate between employer-provided and platform-estimated compensation.
Yes. We can configure the pipeline to target specific regional domains (e.g., simplyhired.co.uk) or apply strict location parameters within the US site to isolate specific metropolitan areas.
Yes. We provide a sample extraction based on your specific keywords and locations during the scoping phase, allowing you to validate the schema and data quality before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily sync of software engineering roles or a continuous feed of the entire UK job market, we build and operate the pipeline. Tell us what you need.
