Ashby Job Board Scraper: Jobs, Salaries, Apply Links avatar

Ashby Job Board Scraper: Jobs, Salaries, Apply Links

Pricing

$1.00 / 1,000 job result exporteds

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Ashby Job Board Scraper: Jobs, Salaries, Apply Links

Ashby Job Board Scraper: Jobs, Salaries, Apply Links

Reads the official Ashby posting-api JSON feed for any company job board and exports every open role with title, department, location, remote flag, employment type, disclosed salary range, and apply/job URLs.

Pricing

$1.00 / 1,000 job result exporteds

Rating

0.0

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Developer

Ahmed

Ahmed

Maintained by Community

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0

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2

Total users

1

Monthly active users

a day ago

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Reads the official Ashby posting-api JSON feed for any company job board and exports every open role with title, department, team, location, remote flag, employment type, disclosed salary range, and apply/job URLs. Built for recruiters sourcing candidates, sales teams tracking company headcount growth, and job boards or newsletters that need structured listings for Ashby-powered career pages.

Why this scraper

  • Reads Ashby's own posting-api JSON endpoint rather than the rendered career page, so the output includes structured compensation tiers (min, max, currency) and full plain-text descriptions instead of whatever a page scraper can parse off the DOM.
  • Priced at $0.001 per job result — lower than other per-result Ashby scrapers, so pulling a 200-role board costs $0.20.
  • No personal or candidate data is collected — only public job posting content, so there's nothing to worry about on the privacy side.

Output fields

FieldTypeDescription
idstringAshby job posting UUID
companySlugstringAshby job board slug parsed from the source URL, e.g. ramp
titlestringJob title
departmentstringDepartment name
teamstringTeam name within the department
employmentTypestringFullTime, PartTime, Contract, Intern, etc.
locationstringPrimary listed location
secondaryLocationsCountintegerNumber of additional listed locations for this role
isRemotebooleanWhether the role is flagged remote
workplaceTypestringRemote, Hybrid, or Onsite
publishedAtstringISO timestamp the posting went live
isListedbooleanWhether the posting is currently publicly listed
jobUrlstringPublic URL of the job posting
applyUrlstringDirect application URL
descriptionPlainstringPlain-text job description
compensationSummarystringAshby's rendered salary/equity summary string, when disclosed
compensationMinnumberMinimum disclosed salary in the posting's currency
compensationMaxnumberMaximum disclosed salary in the posting's currency
compensationCurrencystringCurrency code for compensation figures, e.g. USD

Input

{
"startUrls": [
{ "url": "https://api.ashbyhq.com/posting-api/job-board/ramp?includeCompensation=true" }
],
"maxItems": 50
}

Output

{
"id": "34413f8d-26bf-4bbc-8ade-eb309a0e2245",
"companySlug": "ramp",
"title": "Security Engineer, Cloud",
"department": "Engineering",
"team": "Backend",
"employmentType": "FullTime",
"location": "New York, NY (HQ)",
"secondaryLocationsCount": 3,
"isRemote": true,
"workplaceType": "Hybrid",
"publishedAt": "2026-04-07T17:12:35.753+00:00",
"isListed": true,
"jobUrl": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245",
"applyUrl": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245/application",
"descriptionPlain": "ABOUT RAMP\n\nRamp is building the smart infrastructure for finance teams...",
"compensationSummary": "$211.4K – $290.6K • Offers Equity",
"compensationMin": 211400,
"compensationMax": 290600,
"compensationCurrency": "USD"
}

Pricing

Pay-per-result at $0.001 per job scraped. A board with 200 open roles costs about $0.20 per run; a large 1,000-role board costs about $1.00.

Use cases

  • Recruiter sourcing lists: pull every open engineering role at a target company's Ashby board weekly to build outbound lists with direct apply URLs.
  • Comp benchmarking: aggregate compensationMin/compensationMax across multiple companies' boards to build salary range comparisons for a specific title or department.
  • Headcount growth tracking: track publishedAt and role counts by department over time to spot which teams a company is scaling for sales prospecting or investment research.