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SmartRecruiters Job Scraper — Careers API

For enterprise talent teams and job aggregators scraping Fortune 500 companies that use SmartRecruiters — Visa, Tesla, McDonald's, CEVA Logistics, and thousands more.

Pay per result — $1.50 / 1,000 jobs. Official API. No proxy. No login. No browser. Batch mode for 100+ companies.

Scrape job postings from any SmartRecruiters-powered company careers page. Returns structured job data — title, location, seniority, remote type, department, employment type, descriptions, and parse_confidence — via the official zero-auth SmartRecruiters public API.

What you get

Why this scraper

• Official API, zero proxy — SmartRecruiters public API is open and stable; no browser automation, no residential proxy cost, no bans.
• Seniority enrichment — 11-level title-regex classification with SmartRecruiters native experienceLevel as fallback.
• Authoritative remote_type — reads the structured location.remote and location.hybrid boolean flags, not just text keywords.
• parse_confidence — every record carries a data-quality score so you can filter or alert on drift without manual inspection.
• Batch + filter — scrape 10, 100, or 1000 companies in one run with keyword and remote filters applied server-side.

Input

{
"companies":["Visa","TESLA","McDonaldS"],
"titleKeyword":"engineer",
"locationKeyword":"Austin",
"remoteOnly":false,
"maxJobsPerCompany":50,
"includeDescriptions":false
}

Finding the slug: the slug is the company identifier in the SmartRecruiters URL. For jobs.smartrecruiters.com/Visa the slug is Visa. Slugs are case-sensitive — use the exact casing from the URL.

includeDescriptions: disabled by default because descriptions require one extra API call per job. Enable only when you need full text for AI/NLP pipelines.

Pricing

Pay-per-result: $1.50 / 1,000 jobs ($0.0015 per record). You pay only for jobs returned — nothing for companies that come back empty.

Worked example: 3 companies × 50 jobs = 150 results = $0.23. 20 companies × 100 jobs = 2,000 results = $3.00.

Output sample

{
"title":"Senior Software Engineer",
"company":"Visa",
"location":"Austin, Texas, United States of America",
"remote_type":null,
"seniority":"senior",
"department":"Engineering",
"employment_type":"Full-time",
"posted_at":"2026-05-01T00:00:00+00:00",
"url":"https://jobs.smartrecruiters.com/Visa/12345678-senior-software-engineer",
"job_id":"12345678",
"global_id":"smartrecruiters:Visa:12345678",
"parse_confidence":1.0,
"warnings":[]
}

FAQ

Do I need an API key or proxy? No. SmartRecruiters' public careers API is open — no auth, no proxy cost, no bans.

What output formats are available? JSON, JSONL, CSV, and Excel via the Apify dataset export, plus the Apify REST API.

Can I schedule daily runs? Yes — use Apify Scheduler. Use global_id (smartrecruiters:<company>:<job_id>) as a stable key for deduplication across runs.

What if includeDescriptions is enabled and a job returns no description? The actor still pushes the job — description fields are null and parse_confidence is slightly reduced. The run never crashes on missing optional data.

Vs competitor comparison

parse_confidence (0.0–1.0) and warnings in every record — data quality signal so your pipeline detects schema drift before output breaks.

Note on includeDescriptions: disabled by default because SmartRecruiters descriptions require one extra API call per job (unlike most ATS platforms where descriptions are inline). Enable only when you need full text for AI/NLP pipelines.

Use with AI agents (MCP)

This actor is MCP-compatible. Use it as a data source in n8n, Make, or any LLM agent pipeline.

https://mcp.apify.com/?tools=bovi/smartrecruiters-job-scraper

The flat schema with global_id (smartrecruiters:<company>:<job_id>) is drop-in-ready for vector databases, job-matching LLMs, and automated sourcing workflows. Need Greenhouse, Lever, Ashby, Recruitee and Personio in the same pipeline? Use the flagship Multi-ATS Job Scraper — 6 ATS, one unified schema.

Integrations

Built for enterprise talent teams and job aggregators scraping Fortune 500 hiring pipelines at scale — the JSON/dataset output drops into the tools you already run, no glue code:

• n8n / Make / Zapier — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: n8n, Make, Zapier.
• Webhooks — fire your own endpoint the moment a run finishes, to push results straight into your pipeline (docs).
• MCP server — expose this actor as a tool to Claude, Cursor, or any MCP client so an AI agent can pull this data mid-conversation (guide).
• API & SDKs — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.

See all Apify integrations.

Not affiliated with SmartRecruiters

This actor uses the publicly accessible SmartRecruiters careers API. It is not endorsed by or affiliated with SmartRecruiters Inc.