Visa Sponsorship Jobs Intelligence Feed

Cross-referenced directly with official immigration registries (UK Home Office & US DOL LCA). Filter out noise, avoid unverified listings, and automate daily job tracking with zero duplicate charges.

Stop wasting time on job listings that secretly require existing citizenship or permanent residency. Most job scrapers return thousands of listings that explicitly require work authorization. This Actor cross-references employer names against official government sponsor registers (UK Home Office Skilled Worker Register & US Department of Labor LCA disclosure filings) and verified global tech sponsor programs with atomic Pay-Per-Event (PPE) monetization.

[!NOTE] Data Sources & Limitations Disclaimer: This Actor checks employer eligibility against official government sponsor registries and confirmed corporate sponsorship programs. Registration on a sponsor list signifies legal capacity and license to sponsor, not a guarantee that a specific individual opening will offer visa sponsorship or relocation assistance. Job seekers should always verify specific sponsorship terms directly with the employer.

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⚡ Memory & Execution Sizing

• Standard Runs (Default ATS & Public Boards): 1024 MB memory is recommended.
• Overseas Expansion with Detail Fetching (overseasFetchDetails: true): 2048 MB memory and maxRuntimeSecs ≥ 900 is recommended.

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🎟️ Pay-Per-Event (PPE) Pricing

You only pay for verified, delivered results matching your search criteria:

Event	Description	Price
apify-actor-start	Actor start fee (Configured in Apify Console)	$0.05 / run
job-result	Per normalized job returned	$2.00 / 1,000 jobs
visa-enriched-job	Per job verified against official government registers or known sponsor allowlists	+$1.00 / 1,000 jobs
ai-classified-job	Per job analyzed with AI technical scoring (Requires user-supplied LLM API key)	+$3.00 / 1,000 jobs
overseas-job	Per job from the overseas expansion pack	+$1.50 / 1,000 jobs

Cost Estimation Matrix

Mode / Permutation	Typical Cost (per 1,000 Jobs)	Included Events	Recommended Use Case
Standard Mode	$3.00 – $4.00	job-result	General tech & remote job scraping from ATS platforms.
Visa Verified	$5.00 – $6.50	job-result + visa-enriched-job	Candidates seeking verified UK/US visa sponsorship eligibility.
Global Corridor	$6.50 – $8.00	job-result + visa-enriched-job + overseas-job	International relocations and agency-sponsored corridors.
Full Intelligence	$9.00 – $11.00	job-result + visa-enriched-job + overseas-job + ai-classified-job	High-precision screening with deep AI role relevance scoring.

Filtered-out and duplicate listings are NEVER charged.

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🛡️ Anti-Duplicate & Zero-Liability Guarantees

1. Atomic Charge-Before-Push: Every record is charged before push. If your Apify Actor spending limit is reached, uncharged records are discarded immediately.
2. Cross-Run Deduplication: When deduplicationAcrossRuns: true is enabled, repeat scheduled runs remember previously seen job fingerprints in a persistent Named Key-Value store (visa-jobs-dedup-state). You are never double-billed for identical jobs.
3. Zero Operator LLM Liabilities: AI classification uses a Zero-Liability model requiring a user-supplied API key (llmApiKey). If omitted, AI evaluation gracefully bypasses without error, and 0 ai-classified-job charges occur.

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⚡ Enriched Visa Intelligence Output (camelCase)

Every dataset record delivers clean, normalized camelCase JSON:

{
  "id": "gh-stripe-4921049",
  "title": "Senior Machine Learning Infrastructure Engineer",
  "company": "Stripe",
  "companyNormalized": "stripe",
  "location": "London, United Kingdom",
  "locations": ["London, United Kingdom"],
  "remote": true,
  "remoteType": "region_restricted",
  "employmentType": "full_time",
  "seniority": "senior",
  "salaryMin": 110000,
  "salaryMax": 150000,
  "salaryCurrency": "GBP",
  "postedAt": "2026-08-22T08:30:00Z",
  "applyUrl": "https://boards.greenhouse.io/stripe/jobs/4921049",
  "jobUrl": "https://boards.greenhouse.io/stripe/jobs/4921049",
  "source": "greenhouse",
  "ats": "greenhouse",
  "technologies": ["Python", "PyTorch", "Kubernetes", "Ray", "CUDA"],
  
  "visaSignal": "on_sponsor_list",
  "visaConfidence": 0.85,
  "visaType": "UK Skilled Worker",
  "visaSponsorMeta": {
    "matched_sponsor": "Stripe Payments UK Limited",
    "country": "GB",
    "rating": "A",
    "routes": ["Skilled Worker"]
  },
  "authFit": "sponsor_required_and_plausible",

  "relevanceScore": 0.94,
  "compositeScore": 0.91,
  "opportunityScore": 91,
  "classificationReason": "Core ML platform engineering role managing distributed GPU training clusters.",
  "isAiRole": true
}

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📦 Run Output & Reports

Every run produces a machine-readable Dataset and a set of human-friendly reports, so you get both an API-ready feed and a polished intelligence summary.

Output tab links (defined in the Actor output schema):

Output	What it is
📊 Jobs Dataset	All normalized, visa-enriched jobs. Canonical output for APIs, automation, and CSV/Excel/JSON export. Ordered by opportunityScore in the Console table.
🌐 HTML Report	Beautiful standalone report: key statistics, top opportunities, country / company / visa / source breakdowns, methodology, and disclaimers. Opens directly in the Output tab.
📄 Run Summary (JSON)	Machine-readable run summary — search criteria, statistics, top matches, and aggregations. Useful for downstream agents and pipelines.
📈 Run Statistics	Low-level pipeline execution statistics (fetched, filtered, deduplicated, enriched, duration, source health).

New dataset column — opportunityScore (0–100): a single transparent ranking number (compositeScore × 100) combining visa evidence, relevance, recency, seniority fit, salary, and source trust. Sort the Dataset by it descending to surface the strongest opportunities first.

Top-opportunity cards in the HTML report show, per job: opportunity score, title, company, location + country, visa evidence badge with explanation, seniority/employment, remote/hybrid, salary, technologies, posted date, the data-backed reasons it is recommended, and a direct Apply link.

Empty runs are still useful: if no jobs match, the report explains how many jobs and sources were scanned and gives concrete suggestions to broaden the search.

Reports are generated from the already-produced pipeline results — no extra fetching, no extra billing.

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🛡️ What Makes This Different?

• 🛂 Official Visa Intelligence: Checks company names against confirmed visa sponsor allowlists, official UK Skilled Worker sponsor registers, and US DOL LCA historical filings.
• 📊 7-Tier Signal Model:
  • stated_in_jd (1.00): Job description explicitly mentions visa sponsorship or relocation support.
  • known_sponsor (0.95): Confirmed top employer with large-scale global visa sponsorship programs (Google, Amazon, Meta, Microsoft, Stripe, OpenAI, Anthropic, etc.).
  • on_sponsor_list (0.85): Company is an active licensed sponsor on official government registers.
  • employer_sponsored_region (0.70): Destination uses an employer-sponsored work-permit model (Gulf/EPS/SSW) — overseas pack only, not a registry match.
  • historical_filings (0.65): Company has certified US DOL LCA filings in the past 12 months.
  • unknown (0.25): No explicit signal either way.
  • explicit_no (0.00): Job explicitly states no sponsorship is available (filtered out by default).
• 📡 Multi-ATS Coverage: Public API endpoints for Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Personio, RemoteOK, Remotive, Arbeitnow, Himalayas, HN Who's Hiring, and Jobicy.
• 🤖 Optional AI Classification: Provider-agnostic LLM relevance evaluation (Gemini, Groq, OpenRouter) scoring tech stack match quality.
• ⚡ Fast, HTTP-First Architecture: Lightweight API requests without heavy headless browser overhead.

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⚙️ Input Parameters

Parameter	Type	Default	Description
keywords	array	[]	Job titles, skills, or stack terms (e.g. ["Machine Learning", "Kotlin", "Python"]). Supports permissive synonyms (e.g. SWE ↔ Software Engineer).
countries	array	[]	Country filter (supports 69+ countries across Europe, East Asia, Americas, Arab countries, and more).
visaSponsorshipOnly	boolean	true	When true, returns jobs with confirmed sponsorship signals (known_sponsor, on_sponsor_list, stated_in_jd, historical_filings, employer_sponsored_region).
includeUnknownVisa	boolean	false	When visaSponsorshipOnly is enabled, set to true to also include unknown visa status jobs.
minVisaConfidence	string	"unknown"	Minimum required confidence ("unknown", "historical_filings", "employer_sponsored_region", "on_sponsor_list", "known_sponsor", "stated_in_jd").
sources	array	["greenhouse", "lever", ...]	Target ATS endpoints and job boards to query.
companyUrls	array	[]	Specific ATS career page URLs to auto-extract.
postedWithinDays	integer	60	Maximum posting age in days.
enableAIClassification	boolean	false	Enable LLM technical relevance scoring.
maxResults	integer	500	Maximum jobs to return.

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🔌 Integration Example (Python SDK)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("alireza_nezami/visa-sponsorship-jobs-scraper").call(
    run_input={
        "keywords": ["Machine Learning", "Python"],
        "countries": ["United Kingdom"],
        "visaSponsorshipOnly": True,
        "includeUnknownVisa": False,
        "maxResults": 100
    }
)

for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{job['company']} - {job['title']} (Signal: {job['visaSignal']}, Score: {job['visaConfidence']}) -> {job['applyUrl']}")

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🌍 Overseas Expansion (Optional)

Off by default. Nothing changes unless you set enableOverseasSources: true.

This optional pack adds 248 build-time-verified overseas sources for the India/Pakistan/Bangladesh → Gulf, Europe, East Asia, Canada and Australia migration corridors: government labor portals, licensed manpower agencies, niche job boards, aggregators, and visa-specialist sites. Sources were DNS+HTTP probed before inclusion and are shipped as a curated data file — they are never invented or auto-discovered at runtime. This Actor does not scrape LinkedIn, Indeed, or Glassdoor; those domains (plus ZipRecruiter, Monster, CareerBuilder, SimplyHired, Snagajob, Ladders and Dice) are hard-blacklisted and unfetchable. Overseas sources are public pages fetched with robots.txt respect and per-host rate limits.

Categories (selectable via overseasCategories): government, manpower_agency, aggregator, remote_board, visa_specialist, unknown_board.

An honest visa signal: employer_sponsored_region

Jobs from Gulf and East-Asia destinations can never match the UK/US sponsor registries. The destination-country employment model (UAE/Saudi/Qatar/Kuwait/Oman/Bahrain work permits, Japan SSW, Korea EPS E-9) is employer-sponsored by construction, so these jobs get their own confidence level instead of being dropped:

• employer_sponsored_region (0.70): destination uses an employer-sponsored work-permit model. This is NOT a verified registry match — it records the destination's employment model honestly. If the job description itself mentions sponsorship, the stronger stated_in_jd signal is kept instead; explicit_no always wins and the job is excluded.

Overseas input parameters

Parameter	Type	Default	Description
enableOverseasSources	boolean	false	Include the 248 verified overseas sources. Raise maxRuntimeSecs to ≥ 900 when enabling.
overseasCategories	array	all six	Source categories to include.
overseasDestinationCountries	array	[] (all)	Keep only jobs for these destinations (jobs with unknown destination are kept).
overseasMaxSourcesPerRun	integer	150	Max sources fetched per run (10–573).
overseasConcurrency	integer	20	Concurrent overseas page fetches (5–40).
overseasBudgetSecs	integer	600	Time budget in seconds (60–3000, auto-clamped to 80% of maxRuntimeSecs).
overseasFetchDetails	boolean	false	Fetch job detail pages for richer descriptions and better dedup (slower, more requests).
overseasMaxDetailFetches	integer	300	Max detail-page fetches per run (0–2000).
overseasSimhashDedup	boolean	true	SimHash near-duplicate removal for copy-pasted agency JDs.
respectRobotsTxt	boolean	true	Honor robots.txt on overseas domains.

Sample overseas record

{
  "id": "ov-gulfagency.example-8f2c1a9b3e4d5c67",
  "title": "Mason – Dubai construction vacancy",
  "company": "Al Rashid Manpower",
  "location": "Dubai",
  "country": "UAE",
  "salaryMin": 2500,
  "salaryCurrency": "AED",
  "salaryPeriod": "month",
  "applyUrl": "https://gulfagency.example/vacancies/mason-dubai/",
  "source": "overseas",
  "ats": "gulfagency.example",
  "sourceCategory": "manpower_agency",
  "destinationCountry": "UAE",
  "visaSignal": "employer_sponsored_region",
  "visaConfidence": 0.7,
  "visaType": "UAE Work Permit"
}

When enabling overseas in the Actor UI: set maxRuntimeSecs ≥ 900 and consider raising memory to 2048 MB if also enabling overseasFetchDetails.