Fairquery Company Jobs Feed

Company Jobs Feed: live jobs from Greenhouse, Lever & Ashby (Apify Actor + MCP server)

Live job listings read straight from employers' own applicant-tracking systems through their official public job-board APIs, plus an MCP server so AI agents can use the same data. Every row says when it was verified as currently published on the employer's own hiring system, how old the posting is, whether it has been open a long time, and whether it looks like a repost.

• Apify Actor: fairquery/company-jobs-feed, pay per result: $0.99 per 1,000 jobs + $0.0005 per board scanned (+ $0.00029 per optional per-job re-check, $0.0019 per company found by discovery). Error, closed and merged rows are free.
• MCP server (mcp/): four free tools that run on your machine with no token, and one paid tool that runs the Actor in your Apify account.

Honest scope: "currently published" is not "guaranteed to be hiring". The feed gives age, long-open and repost signals so you can filter likely stale or evergreen listings; it does not claim to be ghost-free.

Sources

ATS	API used	Included
Greenhouse	boards-api.greenhouse.io/v1/boards/{slug}/jobs (Job Board API)	Yes
Lever	api.lever.co/v0/postings/{slug} (Postings API)	Yes
Ashby	api.ashbyhq.com/posting-api/job-board/{slug} (public Job Postings API)	Yes
SmartRecruiters	its API host's robots.txt allows only LinkedIn's crawler	No (never contacted)
Recruitee	Careers Site API needs an employer token	No
Workable	public endpoints are documented only for the account's own careers page	No
Workday	no public job API	No
LinkedIn	not contacted at all	No

Company names, domains and careers URLs can be resolved to boards (careers-page links with robots.txt respected, then at most 6 slug probes against the APIs). 51 verified starter boards ship in src/seed.ts.

MCP server

Install

Requires Node.js 20+. From npm: @fairquery/company-jobs-feed-mcp. Claude Desktop / Cursor / VS Code (mcpServers config):

{
  "mcpServers": {
    "fairquery-jobs-feed": {
      "command": "npx",
      "args": ["-y", "@fairquery/company-jobs-feed-mcp"],
      "env": { "APIFY_TOKEN": "<only needed for jobs_search_companies>" }
    }
  }
}

From source: git clone https://github.com/fairquery/company-jobs-feed && cd company-jobs-feed/mcp && npm ci --ignore-scripts && npm run build && node dist/index.js.

Docker: docker build -t fairquery-jobs-feed-mcp . && docker run -i --rm fairquery-jobs-feed-mcp.

Tools

Tool	Cost	What it does
jobs_get_board	free, local	All jobs currently published on one board (ats + slug), normalized and filtered by title, location, country, remote and posted-within. Returns posted_at, age_days, long_open, verified_open_at, apply URL
jobs_find_board	free, local	Resolve a company name, domain or careers URL to its Greenhouse/Lever/Ashby board, with via and confidence
jobs_check_open	free, local	Re-check one job right now: open or closed (detail endpoint; Ashby via the board listing)
jobs_list_seed_boards	free, offline	The verified starter boards (company, domain, ats, slug, verified_at)
jobs_search_companies	paid (Apify PPE)	Many companies at once with discovery, history (first/last seen, new/updated/closed), repost detection, optional re-checks and descriptions. Needs APIFY_TOKEN

Every tool is read-only (readOnlyHint: true, destructiveHint: false), has an output schema, and describes every parameter. Descriptions follow a WHAT / WHEN / WHEN NOT / BEHAVIOR / COST / RETURNS / PARAMETERS / EXAMPLE layout. Without APIFY_TOKEN, initialize, tools/list and the four free tools work; the paid tool returns APIFY_TOKEN_MISSING.

Use the Actor from code

curl -X POST "https://api.apify.com/v2/acts/fairquery~company-jobs-feed/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \
  -d '{"companies":["stripe.com","ramp.com"],"titleIncludes":["engineer"],"countries":["US"]}'

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fairquery/company-jobs-feed').call({
    companies: ['https://jobs.lever.co/palantir'],
    countries: ['US'], titleIncludes: ['engineer'], postedWithinDays: 180,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Input, output fields, pricing examples, troubleshooting and FAQ: .actor/README.md.

Example job row

Real row from a test run on 2026-10-17 (Ramp, Ashby; abbreviated):

{
  "type": "job", "job_key": "ashby:ramp:34413f8d-26bf-4bbc-8ade-eb309a0e2245", "ats": "ashby", "board": "ramp",
  "company": "Ramp", "title": "Security Engineer, Cloud", "department": "Engineering",
  "locations": ["New York, NY (HQ)", "Remote (Canada)", "Remote (US)", "Miami, FL"], "countries": ["US", "CA"],
  "remote": true, "workplace_type": "hybrid",
  "posted_at": "2026-04-07T17:12:35.753Z", "age_days": 193, "age_basis": "posted_at", "long_open": true,
  "verified_open_at": "2026-10-17T22:54:03.924Z", "first_seen_at": "2026-10-17T22:54:03.924Z", "change": "new", "reposted": false,
  "compensation": { "summary": "$211.4K – $290.6K • Offers Equity", "min": 211400, "max": 290600, "currency": "USD", "interval": "1 YEAR" },
  "apply_url": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245/application", "fingerprint": "646e3148231ba20d"
}

Politeness and security

Only the three documented API hosts are called (HTTPS, no redirects). Careers pages are read only for domains you supply, with robots.txt (RFC 9309), SSRF protection (private IPs refused, DNS pinned) and a 3-page cap. Any 403/429 stops that host for the run. No login, no proxies, no evasion. See SECURITY.md.

Development

See DEVELOPMENT.md. npm test (31 unit tests), npm run mcp:build && npm run mcp:test (MCP build + smoke test).

More from Fairquery

Other Fairquery tools on the Apify Store. Each one returns structured rows with machine-readable error codes, and error rows are never charged:

• Email Validator for Agents (MX, Disposable, Typo): syntax, MX, disposable, role and typo checks without sending mail; $0.79 per 1,000 emails
• Website Contact & Company Enricher: domain in, public business emails, phones, socials and company details out; $3 per 1,000 domains
• Website Tech, SEO & llms.txt Check for Agents: tech stack, SEO score, AI-crawler rules and llms.txt per site; $1.50 per 1,000 sites
• Sanctions & Watchlist Screener (OFAC, EU, UK, UN): fuzzy name screening against official sanctions lists; $3 per 1,000 names + $0.007 per run
• LLM Data Guard: PII & Secret Redactor: redact PII and secrets before text reaches an LLM; $1.50 per 1,000 documents + $0.20 per 1,000 findings
• Dependency Vulnerability Check for Agents: packages and lockfiles against OSV.dev; $0.50 per 1,000 packages + $1.50 per 1,000 vulnerabilities
• EDGAR Company Facts & Filings for Agents: SEC filings and XBRL facts by ticker, CIK or name; from $1.50 per 1,000 companies
• Competitor Change Tracker: Pricing, Terms, Careers & Changelog: watch competitors' public pricing, terms, careers and changelog pages for real changes with plain-English summaries and webhook alerts; $0.00049 per page checked + $0.0049 per change
• AI Exposure Scanner: Public Secrets, Files & AI-Crawler Policy: passive, scored scan of your own domains and public GitHub repos for leaked secrets (masked), exposed files, AI-crawler policy, security headers and SPF/DMARC; $0.039 per domain + $0.0039 per repo + $0.0019 per finding
• MCP server @fairquery/agent-trust-mcp: one MCP server for Claude Desktop, Cursor and VS Code (npx -y @fairquery/agent-trust-mcp). It has 7 free tools that need no token, plus paid tools that call the PII, email, sanctions and OSV Actors with your own Apify token.

All Fairquery Actors: https://apify.com/fairquery

License

MIT © 2026 Fairquery. Job data belongs to the employers. Not affiliated with Greenhouse, Lever, Ashby or LinkedIn.