Aijobs.net AI & ML Job Listings Scraper
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Pay per event
Aijobs.net AI & ML Job Listings Scraper
Scrape AI, ML, and data science job listings from aijobs.net — the go-to AI/ML job board. Extracts full job details including salary range, seniority, remote policy, tech stack tags, company info, and apply URL. Sitemap-driven for complete coverage.
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Pay per event
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BowTiedRaccoon
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1
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3 days ago
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Scrape AI, ML, data science, and related engineering job listings from aijobs.net — the go-to single-source job board for the AI industry. Extracts complete job records including salary range, seniority, remote policy, tech stack tags, company info, and apply URL. Sitemap-driven for complete, reproducible coverage of the full job inventory.
What data does it extract?
Each record includes:
| Field | Description |
|---|---|
job_id | Numeric job ID |
job_slug | URL slug for the job |
title | Job title |
company_name | Hiring company |
company_profile_url | Company page on aijobs.net |
company_logo_url | Company logo URL |
location_city | City or region |
location_country | Country |
is_remote | Boolean — remote-eligible |
remote_policy | remote / hybrid / onsite |
remote_region_restriction | US-only, EU-only, global, or null |
employment_type | full-time / contract / part-time |
seniority | entry / mid / senior / staff / principal |
salary_min_usd | Minimum salary (USD, annualized) |
salary_max_usd | Maximum salary (USD, annualized) |
salary_currency | Currency code (USD, AUD, GBP, etc.) |
salary_raw | Raw salary string from the page |
equity_offered | yes if equity/stock mentioned |
posted_at | Approximate posting date (ISO date) |
role_category | Inferred: ai-engineer, ml-engineer, data-scientist, research, mlops, data-engineer, other |
tech_tags | Comma-separated tech skills (PyTorch, LangChain, RAG, etc.) |
description_markdown | Full job description text |
apply_url | Direct apply link |
is_featured | Boolean — featured listing |
profile_url | Canonical job page URL |
scraped_at | Scrape timestamp (ISO) |
How does it work?
The actor walks the aijobs.net/jobs-sitemap.xml sitemap (~48,000 job URLs) to discover job detail pages. Each job page is scraped via HTTP (no browser, no CAPTCHA — the site is publicly accessible). Extraction is done via cheerio HTML selectors targeting the site's Bootstrap badge elements, link anchors, and text nodes.
The maxItems input controls how many records to collect. Set to 0 for a full run (all ~48k jobs).
Input
| Parameter | Type | Default | Description |
|---|---|---|---|
maxItems | integer | 10 | Maximum number of job records to collect. Set to 0 for unlimited. |
Use cases
- AI talent market research — track demand across roles (AI engineer, ML engineer, MLOps, research scientist) over time
- Salary benchmarking — compare compensation by role, seniority, and region
- RecOps & ATS enrichment — bulk-import active job listings for sourcing workflows
- Remote work signal monitoring — filter by
remote_policyandremote_region_restrictionfor location-agnostic hiring intelligence - Tech stack trend analysis — aggregate
tech_tagsto identify the fastest-rising skills (LangChain, RAG, Mamba, etc.)
Notes
- Salary values are annualized. Non-USD salaries (AUD, GBP, EUR) preserve the original currency in
salary_currencyand the raw string insalary_raw. USD fields arenullfor non-USD postings. posted_atis estimated from the "Published Xd ago" label on each job page. Accurate to the day for recent posts.- Expired jobs (Apply button shows "Expired") are included in the sitemap and scraped; their
apply_urlwill reflect the job detail URL with an expired state.
