Greenhouse, Lever & Ashby Jobs Scraper | No Slugs + Salaries

What does Greenhouse, Lever & Ashby Jobs Scraper do?

Greenhouse, Lever & Ashby Jobs Scraper pulls open jobs from company career boards on six applicant-tracking systems: Greenhouse, Lever, Ashby, SmartRecruiters, Personio and Recruitee, all in one shared output. You don't need a single board slug: a built-in directory of 11,000+ live employers lets you search them all at once by job title, location, country, workplace type, department, posting date, or only jobs with a published salary. Every job comes back as a typed record with 63 structured fields, including the employer's official pay range (salaryMin / salaryMax / salaryCurrency / salaryPeriod), the posting split into qualifications, responsibilities and benefits, and a skills list. No code needed: export to JSON, CSV or Excel, use the API, or hand it to an AI agent.

Leave Companies empty to search the whole directory, or list the employers you care about in whatever form you have: a board URL from any of the six systems, a job link, a slug, the company's own careers page, or just its name. The system is detected automatically.

New to Apify? Sign up free and use the included monthly platform credit to try this Actor — no credit card needed.

Why this scraper

• 🧩 Six job-board systems, one schema: Greenhouse, Lever, Ashby, SmartRecruiters, Personio and Recruitee in a single run.
• 🗂️ No slugs needed: search 11,000+ employers by keyword, country, system and salary.
• 💰 Structured official salary and requirements, benefits and skills split out of every posting.
• ♻️ Cheap to monitor: incremental mode returns only new, changed and closed jobs, with alerts to Telegram, Slack, Discord, WhatsApp or any webhook.

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What data can you extract from Greenhouse, Lever & Ashby?

Every record carries 63 fields grouped like this:

Group	What you get
Job & links	Job ID, job-board system, title, company name and slug, board URL, job URL, direct apply URL, requisition ID, internal job ID, language, employer custom fields
Location & workplace	Raw location, city, region, country, ISO country code(s), offices, workplace type (remote / hybrid / on-site), remote flag
Salary	salaryMin, salaryMax, salaryCurrency, salaryPeriod, readable salaryText, every published pay zone in salaryRanges, a hasSalary flag
Team & role	Department, all departments, team, seniority, experience level, employment type, industry, posted and last-updated dates
Requirements & skills	qualifications, responsibilities and benefits as text, plus a skills list (Python, AWS, Salesforce …)
Contacts & application	Emails, phones, URLs and social profiles found in each posting, plus the application form's questions
Description	Full text as plain text, HTML and/or Markdown, with an optional length cap
Change tracking	changeType (NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED), first/last seen, expiry and repost detection

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Key features

• 🧩 Six systems in one run: mix Greenhouse, Lever, Ashby, SmartRecruiters, Personio and Recruitee boards freely; ats tells you where each job came from, and every field means the same thing whichever system it came from.
• 🗂️ Search without board slugs: a bundled directory of 11,000+ live employers across all six systems, indexed by the countries they hire in, so a country filter only reads the boards actually hiring there. Narrow it to one system with Job-board systems.
• 🔗 Any input form: a board or job URL from any system, a slug or lever:spotify, the company's own careers page (it finds the board behind it), or the company's name. EU-hosted Greenhouse and Lever boards work like the rest.
• 💰 Official structured salary: min/max/currency/period from the employer's own published pay ranges, every zone kept in salaryRanges. Nothing is guessed, and Only jobs with a published salary filters to them in one click.
• 🧠 Requirements, benefits and skills: each posting is split into qualifications, responsibilities and benefits, with a skills list mined from the requirements. Experience level and industry come through where the system publishes them.
• 🎚️ Exact filters: whole-word title keywords (engineer OR developer), exclusions (senior also drops "Sr."), description keywords, locations with spelling aliases (NYC/New York, Bangalore/Bengaluru), 35 countries, remote / hybrid / on-site, departments, posted-within-days and salary-only. Only jobs that pass are returned and billed.
• 📇 Contacts & application questions: emails, phones, URLs and social profiles from each description, a requireContact filter for lead lists, and the application form's questions on Greenhouse and Recruitee boards.
• ♻️ Incremental change feed & alerts: only NEW / UPDATED / REAPPEARED jobs, plus EXPIRED records when a role closes and optional repost skipping, pushed to Telegram, Slack, Discord, WhatsApp or a webhook. Compact and drop-empty modes keep payloads lean for LLMs and MCP.

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🚀 How to scrape Greenhouse, Lever & Ashby jobs

1. Open the Actor. Leave Companies empty to search the whole directory, or list the companies you want (board URL, job link, slug, careers page or name).
2. Add Job title keywords (e.g. product manager) and any filters: country, location, workplace type, department, posted within, salary only, job-board system.
3. Set Max results and choose whether to include full job details and application questions.
4. (Optional) Turn on incremental mode and a notification channel, then Schedule it.
5. Click Start. Results stream into the Output tab, ready to download as JSON, CSV or Excel or to pull from the API.

No login, no cookies, no API key: it works as soon as you start it.

Quick-start example input

{
  "searchTerms": ["product manager"],
  "countries": ["US"],
  "requireSalary": true,
  "postedWithinDays": 14,
  "maxResults": 100
}

This searches every company in the directory, on all six systems, for product-manager roles in the United States posted in the last two weeks that publish a salary range, and returns up to 100 jobs spread across many employers: a ready-made pay benchmark without typing a single company name.

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Input

Configure everything in the visual editor, or pass JSON via the API. There are 42 inputs in seven groups.

🏢 Companies

Field	Type	What it does
companies	array	One per line, in any form below. Leave empty to search the whole directory.
searchAllCompanies	boolean	Search the whole directory as well as the companies you listed. Always on when Companies is empty.
platforms	array	Limit a directory search to some systems: greenhouse, lever, ashby, smartrecruiters, personio, recruitee. Empty = all six.
maxCompanies	integer	Limit how many directory companies are searched, biggest employers first. 0 = all.

What you can paste into Companies:

System	Board URL example	Also accepted
Greenhouse	https://job-boards.greenhouse.io/stripe (or job-boards.eu.greenhouse.io/...)	stripe, a job link, an embed link
Lever	https://jobs.lever.co/spotify	lever:spotify, a job link, jobs.eu.lever.co/...
Ashby	https://jobs.ashbyhq.com/ramp	ashby:ramp, a job link
SmartRecruiters	https://jobs.smartrecruiters.com/BoschGroup	smartrecruiters:BoschGroup, a job link
Personio	https://1komma5grad.jobs.personio.de	personio:1komma5grad, a job link
Recruitee	https://channable.recruitee.com	recruitee:channable, a job link

A bare slug is looked up in the directory, then on each system. A careers page (stripe.com/jobs) or a company name (Figma) works too.

🔎 Filters

Every filter is exact. Several values inside one filter widen it (OR); different filters narrow it (AND).

Field	Type	What it does
searchTerms	array	Keep jobs whose title contains any of these words or phrases (whole words, case-insensitive). engineer OR developer in one line works too.
excludeKeywords	array	Drop jobs whose title contains any of these, e.g. senior, intern, manager. senior also drops "Sr." titles.
searchInDescription	boolean	Match keywords against the full description too, not just the title.
locations	array	Keep jobs whose location contains any of these, e.g. London, Berlin, New York, Remote. Spelling aliases match both ways.
countries	array (35 options)	US, GB, CA, DE, IE, FR, NL, ES, IN, AU, SG, JP, BR, MX, PL, PT, SE, CH, IL, AE, IT, DK, NO, FI, BE, AT, CZ, RO, AR, CO, NZ, HK, KR, PH, ZA. Also narrows a directory search to companies hiring there.
workplaceTypes	array	remote, hybrid, onsite.
departments	array	Keep departments or teams whose name contains any of these, e.g. Engineering, Sales, Data.
postedWithinDays	integer	Keep jobs first published in the last N days. 0 = any time.
requireSalary	boolean	Keep only jobs where the employer publishes a pay range.

📏 Limits

Field	Type	What it does
maxResults	integer	Maximum jobs to return (default 50). 0 = every matching job.
maxJobsPerCompany	integer	Cap per company. 0 = no cap for companies you list, and 10 per company in a directory search so results span many employers.
ignoreUrlFailures	boolean	Skip a careers page with no supported job board instead of failing the run (on by default). Unknown slugs and names are always skipped with a warning.

📄 Output

Field	Type	What it does
includeDetails	boolean	Add the description, its qualifications / responsibilities / benefits, skills and contacts (on by default). Salary, location and dates are always included.
includeApplicationQuestions	boolean	Add each job's application form questions (label, required, answer type) on Greenhouse and Recruitee boards.
descriptionFormat	enum	all, text, html or markdown.
descriptionMaxLength	integer	Trim each description to this many characters. 0 = full length.
requireContact	enum	off, email, phone, either or both: keep only jobs whose description carries that contact.
compact	boolean	Core fields only. Ideal for AI agents and MCP clients.
excludeEmptyFields	boolean	Drop null, empty-string and empty-array fields.

♻️ Incremental monitoring

Field	Type	What it does
incrementalMode	boolean	Track jobs between runs and tag each with a changeType. Unchanged jobs are skipped and cost nothing.
stateKey	string	Stable name for the tracked search (auto-derived from your settings if blank).
emitUnchanged	boolean	Also emit jobs that haven't changed since the last run.
emitExpired	boolean	Emit a record for each job that was open last run and is gone now (needs a run that reads every matching job).
skipReposts	boolean	Drop a new job that repeats one already tracked under a new ID.

🔔 Notifications

Credentials are secret inputs: encrypted at rest, masked in the UI and never written to the run log.

Field	Type	What it does
telegramToken + telegramChatId	string	Telegram bot token + chat or channel ID.
slackWebhookUrl / discordWebhookUrl	string	Incoming webhook URL.
whatsappPhoneNumberId + whatsappAccessToken + whatsappTo	string	WhatsApp Cloud API sender, token and recipient.
webhookUrl + webhookHeaders	string / object	POST the run's job count and first jobs as JSON anywhere: n8n, Make, Zapier.
notificationLimit	integer	How many jobs to include in each message (1–20, default 5).
notifyOnlyChanges	boolean	Keep unchanged jobs out of alerts even when they are emitted.

⚙️ Advanced

Field	Type	What it does
maxConcurrency	integer	How many company boards to read at once (default 20, up to 24).
maxRequestRetries	integer	Retries per failed request (default 3).
proxyConfiguration	object	Optional and not needed for normal runs.

More example inputs

Boards from all six systems in one run, five jobs each:

{
  "companies": [
    "https://job-boards.greenhouse.io/stripe",
    "https://jobs.lever.co/spotify",
    "https://jobs.ashbyhq.com/ramp",
    "https://jobs.smartrecruiters.com/BoschGroup",
    "https://1komma5grad.jobs.personio.de",
    "https://channable.recruitee.com"
  ],
  "maxJobsPerCompany": 5,
  "maxResults": 30
}

Remote or hybrid data jobs in the UK and Germany across the directory, seniors excluded:

{
  "searchTerms": ["data engineer", "data scientist", "analytics"],
  "excludeKeywords": ["senior", "staff", "principal"],
  "countries": ["GB", "DE"],
  "workplaceTypes": ["remote", "hybrid"],
  "maxResults": 200
}

A daily change feed for a watch-list of companies, posted to Slack:

{
  "companies": ["stripe", "https://jobs.ashbyhq.com/ramp", "https://jobs.lever.co/zoox"],
  "searchTerms": ["engineer"],
  "incrementalMode": true,
  "emitExpired": true,
  "maxResults": 0,
  "slackWebhookUrl": "https://hooks.slack.com/services/XXX/YYY/ZZZ"
}

---

Output

Each dataset item is one job. Here is a real Ashby record, trimmed for length (descriptions also come as descriptionHtml and descriptionMarkdown):

{
  "id": "ashby:ramp:34413f8d-26bf-4bbc-8ade-eb309a0e2245",
  "jobId": "34413f8d-26bf-4bbc-8ade-eb309a0e2245",
  "ats": "ashby",
  "title": "Security Engineer, Cloud",
  "company": "Ramp",
  "companySlug": "ramp",
  "boardUrl": "https://jobs.ashbyhq.com/ramp",
  "url": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245",
  "applyUrl": "https://jobs.ashbyhq.com/ramp/34413f8d-26bf-4bbc-8ade-eb309a0e2245/application",
  "location": "New York, NY (HQ)",
  "city": "New York City",
  "region": "NY",
  "country": "United States",
  "countryCode": "US",
  "countryCodes": [
    "US",
    "CA"
  ],
  "offices": [
    "New York, NY (HQ)",
    "Remote (Canada)",
    "Remote (US)",
    "Miami, FL"
  ],
  "workplaceType": "hybrid",
  "isRemote": false,
  "department": "Engineering",
  "departments": [
    "Engineering"
  ],
  "team": "Backend",
  "employmentType": "FULL_TIME",
  "postedAt": "2026-04-07T17:12:35.753000+00:00",
  "salaryMin": 211400,
  "salaryMax": 290600,
  "salaryCurrency": "USD",
  "salaryPeriod": "YEAR",
  "salaryText": "211,400 – 290,600 USD per year",
  "salaryRanges": [
    {
      "min": 211400,
      "max": 290600,
      "currency": "USD",
      "period": "YEAR",
      "label": null
    }
  ],
  "hasSalary": true,
  "description": "About Ramp\nRamp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how …",
  "qualifications": "• Minimum 5 years of experience building software\n• Minimum 3 years of experience building in AWS (with Terraform)\n• A strong sense of ownership: you need …",
  "responsibilities": "The Security Engineering team helps make Ramp the most secure place for our customers to collect, manage, and put to work their business’ financial …",
  "benefits": "• Flexible PTO\n• Centralized home-office equipment ordering\n• Health and wellness stipend\n• Budget for intra-office travel\n• Weekly coffee stipend",
  "skills": [
    "AWS",
    "Terraform",
    "Python",
    "Flask",
    "Azure",
    "GCP"
  ],
  "extractedUrls": [
    "https://engineering.ramp.com/",
    "http://Ramp.com",
    "https://ramp.com/legal/applicant-privacy-notice"
  ],
  "source": "ashbyhq.com",
  "scrapedAt": "2026-10-20T11:18:40.862777+00:00",
  "detailFetched": true
}

Data fields

• Core: id, jobId, ats, title, company, companySlug, boardUrl, url, applyUrl, requisitionId, internalJobId, language, customFields.
• Location: location, city, region, country, countryCode, countryCodes, offices, workplaceType, isRemote.
• Salary: salaryMin, salaryMax, salaryCurrency, salaryPeriod, salaryText, salaryRanges, hasSalary.
• Role: department, departments, team, seniority, experienceLevel, employmentType, industry, postedAt, updatedAt.
• Details (with includeDetails): description, descriptionHtml, descriptionMarkdown, qualifications, responsibilities, benefits, skills, plus applicationQuestions when that option is on.
• Contacts & signals (only when the posting has them): extractedEmails, extractedPhones, extractedUrls, socialProfiles.
• Tracking: source, searchKeyword, scrapedAt, detailFetched, contentHash, plus, in incremental mode, changeType, firstSeenAt, lastSeenAt, previousSeenAt, expiredAt, isRepost, repostOfId, repostDetectedAt.

The core, location, salary and role fields are on every record (null when the employer or the system leaves them blank); details, contacts and tracking fields appear when the run's options produce them. Compact mode returns the core fields only, and excludeEmptyFields drops empty values entirely. The Output tab ships two ready-made views: Overview (title, company, job board, location, workplace, salary, department, posted date, link) and Salaries (title, company, location, min, max, currency, period, seniority, link).

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♻️ How to monitor Greenhouse, Lever & Ashby jobs with incremental mode

Schedule the Actor and turn on incremental mode. Each run compares against the previous one and emits only NEW / UPDATED / REAPPEARED jobs, plus EXPIRED records for roles that closed if you ask for them. Unchanged jobs are recognised before their details are fetched, so you skip both the work and the cost.

	First run (baseline)	Next run (nothing changed)
Jobs found	all	all
Job details fetched	all	none
Records emitted & billed	all	none

After the baseline, your cost depends on how much the boards you watch change, not on how many jobs you watch:

Daily churn	of 1,000 tracked	billable records	you save
5 %	1,000	50	95 %
15 %	1,000	150	85 %
30 %	1,000	300	70 %

Setting up scheduled monitoring

1. Configure your companies (or a directory search) and filters, and turn on Incremental mode.
2. For EXPIRED records, set Max results to 0 and turn on Include closed jobs. In a directory search, also raise Max jobs per company so no board is cut short.
3. Run it once to seed the baseline, then open the Schedules tab and set a recurring run (e.g. hourly or daily).
4. Add a notification channel. In incremental mode it only hears about jobs that changed.

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🔔 How to set up Greenhouse, Lever & Ashby job alerts

Get pinged as soon as a matching job goes live on any of the six systems. Fill in only the channels you want:

Channel	What to configure
✈️ Telegram	telegramToken (from @BotFather) + telegramChatId
💬 Slack	slackWebhookUrl (Incoming Webhook URL)
🎮 Discord	discordWebhookUrl (channel webhook URL)
📱 WhatsApp	whatsappPhoneNumberId + whatsappAccessToken + whatsappTo (WhatsApp Cloud API)
🪝 Webhook	webhookUrl receives the job count and the first jobs as JSON, which suits n8n / Make / Zapier

Each message lists up to notificationLimit jobs with title, company, location, salary and link. Every channel fires independently, so a broken channel can't stop the scrape. Pair alerts with incremental mode to hear only about new roles.

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💡 What can you do with job-board data?

Benchmark salaries from official pay ranges

Filter to jobs with a published salary and you get the employer's own min/max per role, currency and period. Group by title, country and seniority to see what companies actually pay, not what a survey estimates.

Catch new roles straight from the employer

A company's job board is its own job list, so nothing is relayed or delayed. Watch your target employers, or every directory company hiring in your country, and get new roles the day they open.

Recruiting, talent and competitive intelligence

See which companies are hiring for which teams, where, and how fast. Departments, teams, skills, remote share and posting dates show where headcount is growing, and closed-job records show which roles have come down.

Sales prospecting and lead generation

A company opening a burst of roles in one department is a buying signal. Build account lists from company, department, location and hiring volume, and add the contacts published in postings.

Feed AI agents and LLM pipelines

Compact JSON, ready-split requirements and skill lists go straight into an LLM context, an MCP tool or a vector store. excludeEmptyFields, compact mode and descriptionMaxLength keep token costs low.

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💰 How much does it cost to scrape Greenhouse, Lever & Ashby?

This Actor uses Apify's pay-per-event model: a small fee when a run starts, plus a fee for each job record. The current numbers are in the Actor's Pricing tab, rendered live so this page never goes stale.

Each board is read in one pass and only matching jobs are enriched, which keeps the fee per job low, and the start fee is small so frequent scheduled runs stay cheap. Two things cut your bill further:

• Filters: jobs your filters reject are never returned and never billed. Narrow by country, title and salary first.
• Incremental mode: after the baseline you pay only for what changed (see the table above).

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🔌 Integrations & export

Export to JSON, CSV, Excel or an HTML table, or pull from the REST API and the JavaScript / Python clients. Runs can go on a schedule, connect to Google Sheets, Slack, Make, Zapier and n8n, and work as an MCP tool for AI agents, where compact mode keeps token usage small.

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🔗 Using the API

Run this Actor from your own code. Example with the Apify Python client:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run_input = {
    "searchTerms": ["software engineer"],
    "countries": ["US", "CA"],
    "workplaceTypes": ["remote"],
    "requireSalary": True,
    "maxResults": 50,
}

run = client.actor("corvuslab/greenhouse-jobs-scraper").call(run_input=run_input)

for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["ats"], job["title"], job["company"], job["salaryMin"], job["salaryMax"], job["url"])

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❓ FAQ

Which job-board systems are covered? Greenhouse (US and EU), Lever (US and EU), Ashby, SmartRecruiters, Personio and Recruitee. Workday, iCIMS and similar enterprise systems are not covered.

Does the directory cover every company on these systems? No. It holds 11,000+ employers with live boards (about 3,000 Ashby, 2,800 Greenhouse, 1,900 Personio, 1,600 Lever, 1,300 SmartRecruiters and 1,100 Recruitee boards), sorted biggest first and refreshed over time. Any company that isn't in it can still be read: paste its board URL, slug or careers page into Companies.

Why is the salary empty on some jobs? Salary comes only from the pay range the employer publishes in a structured field; nothing is estimated from text. Ashby and Recruitee boards carry one most often, Greenhouse and Lever boards when the employer fills it in, SmartRecruiters boards rarely. Turn on Only jobs with a published salary to keep just those.

Why does a directory search return only 10 jobs per company? It's on purpose, so a broad search spans many employers instead of filling up with the biggest board. Set maxJobsPerCompany to change it. Companies you list yourself are uncapped by default.

Why are qualifications, seniority or experience level sometimes null? Sections are only filled when the posting puts them under a recognisable heading (or the system splits them itself), seniority when the title or the employer states it, experience level and industry only where the system publishes them (SmartRecruiters, Personio, Recruitee). A missing value is left null rather than guessed.

How often will I find contact details? About 3 in 10 descriptions include an email address (often recruiting or accommodations contacts). Phone numbers are rare. Use requireContact to keep only jobs that have them; jobs without one are skipped and not billed.

What if a careers page isn't recognised? It finds the board behind most careers pages, including those of every directory employer. A page with no supported board is skipped with a warning, or fails the run if you turn Skip companies that can't be found off. Pasting the board URL always works.

Is a description search slower on some boards? On SmartRecruiters boards, yes: the job list carries no descriptions, so a description keyword search reads each job's posting. Title searches are just as fast as elsewhere.

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⚖️ Is it legal to scrape Greenhouse, Lever & Ashby?

This Actor collects only publicly available job postings that employers publish on their Greenhouse, Lever, Ashby, SmartRecruiters, Personio and Recruitee job boards. You're responsible for how you use the data, in particular any personal information such as recruiter contact details, and for complying with each platform's terms and applicable law (including the GDPR/LGPD where they apply). Not affiliated with, endorsed by or sponsored by Greenhouse Software, Lever, Ashby, SmartRecruiters, Personio, Recruitee or any employer whose jobs it reads.

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