Greenhouse Job Board Listings Scraper

Here is one real result, with every field the actor returns:

{
  "title": "Account Executive, Bridge",
  "company": "Stripe",
  "location": "SF, NYC, SEA, CHI",
  "department": "1642 Product Sales - MaaS",
  "departments": ["1642 Product Sales - MaaS"],
  "offices": ["US"],
  "url": "https://stripe.com/jobs/search?gh_jid=8077887",
  "jobId": "8077887",
  "internalJobId": "3499744",
  "requisitionId": "See Opening ID",
  "boardToken": "stripe",
  "language": "en",
  "salaryMin": null,
  "salaryMax": null,
  "salaryCurrency": null,
  "payRanges": [],
  "updatedAt": "2026-08-06T12:10:17-04:00",
  "firstPublished": "2026-07-22T13:15:53-04:00",
  "applicationDeadline": null,
  "aiJdSummary": "The Account Executive at Bridge is responsible for managing a portfolio of existing accounts to drive revenue growth through upselling, cross-selling, and ensuring customer renewals. Candidates should have 5-8 years of experience in sales or account management, preferably in a high-growth technology or fintech environment.",
  "aiSkills": ["sales cycle experience", "account management", "analytical skills", "business case development", "commercial negotiations", "communication skills"],
  "aiTechnologies": ["CRM tools", "Excel", "SQL"],
  "aiSeniority": "mid",
  "aiSalaryEstimateMin": 90000,
  "aiSalaryEstimateMax": 130000,
  "aiSalaryEstimateCurrency": "USD",
  "aiSalaryEstimateBasis": "annual",
  "aiSalaryEstimateConfidence": "high",
  "content": "<h2><strong>Who we are</strong></h2><h3><strong>About Stripe</strong></h3><p>Stripe is a financial infrastructure platform for businesses ... [trimmed]</p>",
  "descriptionText": "Who we are. About Stripe. Stripe is a financial infrastructure platform for businesses ... [trimmed]",
  "metadata": [],
  "observedAt": "2026-08-14T06:03:47.496Z",
  "error": null
}

content and descriptionText hold the full job description and are trimmed above for readability. Every value shown is real, unedited run data.

The most complete Greenhouse job board scraper available. It returns every field a Greenhouse listing exposes (title, company, location, departments, offices, apply URL, job and requisition IDs, published pay ranges and dates), fetches the full HTML and plain-text description, and adds optional AI add-ons for a summary, skills and seniority, and a market salary estimate, so you get analysis-ready postings.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting

What it does

The actor reads the public Greenhouse job board for each company board token you provide, optionally filters the results by a keyword, and writes one normalized record per open job to the run's dataset. With withDescription on, each job includes the full HTML description, a plain-text version, departments, offices and metadata; with it off, only the lightweight listing fields are collected. Any pay ranges the employer publishes are captured in payRanges. Missing source values are returned as null, never invented.

Three optional AI add-ons plus a contact add-on run only on paid Apify plans and only charge when they produce output: aiJdSummary writes a concise summary, aiSkills/aiSeniority extract structured skills, technologies and a seniority level, and the salary estimate infers a market range for jobs with no published salary.

Quickstart

Open the actor, paste this into the input, and press Run. It returns Stripe jobs with full descriptions and all three AI add-ons.

{
  "boardTokens": ["stripe"],
  "maxJobs": 10,
  "withDescription": true,
  "withJdSummary": true,
  "withSkills": true,
  "withSalaryEstimate": true
}

The board token is the company slug in its careers URL: boards.greenhouse.io/stripe means the token is stripe. Add one token per company, and use searchQuery to keep only matching jobs.

Input reference

Field	Type	Required	Default	Description
boardTokens	string[]	yes	["stripe","airbnb","figma"]	Greenhouse board tokens of the companies to scrape. The token is the company slug in its careers URL.
maxJobs	integer	no	10	Maximum jobs to collect across all board tokens.
withDescription	boolean	no	true	Fetch the full HTML and plain-text description, departments, offices and metadata. Off returns lightweight listing fields only.
searchQuery	string	no	(empty)	Keyword filter applied after fetching. Matches title, department, location and description (case-insensitive). Empty returns every open job.
withJdSummary	boolean	no	false	Paid add-on. Concise 2 to 3 sentence AI summary of the description. Requires a paid plan.
withSkills	boolean	no	false	Paid add-on. AI-extracted skills, technologies and seniority as structured tags. Requires a paid plan.
withSalaryEstimate	boolean	no	false	Paid add-on. AI market salary estimate for jobs with no published salary. Requires a paid plan.
enrichContacts	boolean	no	false	Paid add-on. For each result without an email, try to find a public contact email and name. Charged per attempt, plus extra only when an email is found.
enrichContactsMax	integer	no	50	Cap how many results the contact add-on tries to enrich. Free Apify accounts are capped at 3.

Output reference

One dataset item per job. Types: string, number, boolean, string[], object[], or null when the source value is absent. Description fields require withDescription.

Field	Type	Description
title	string	Job title.
company	string	Company name derived from the board token.
location	string	Job location as posted.
department	string	Primary department name, or null.
departments	string[]	All departments the job belongs to.
offices	string[]	Offices or regions associated with the job.
url	string	Apply or job detail URL.
jobId	string	Greenhouse public job ID (gh_jid).
internalJobId	string	Greenhouse internal job ID.
requisitionId	string	Employer requisition ID, or null.
boardToken	string	Board token the job was read from.
language	string	Language of the listing.
salaryMin	number	Published minimum salary, or null.
salaryMax	number	Published maximum salary, or null.
salaryCurrency	string	Currency of the published salary, or null.
payRanges	object[]	Employer-published pay ranges when present. Empty array when none.
updatedAt	string	Last update timestamp of the listing.
firstPublished	string	First published timestamp of the listing.
applicationDeadline	string	Application deadline, or null.
content	string	Full HTML job description (with withDescription), or null.
descriptionText	string	Plain-text job description (with withDescription), or null.
metadata	object[]	Employer metadata fields when present. Empty array when none.
aiJdSummary	string	AI summary of the description (add-on), else absent.
aiSkills	string[]	AI-extracted required skills (add-on), else absent.
aiTechnologies	string[]	AI-extracted technologies and tools (add-on), else absent.
aiSeniority	string	AI seniority level (add-on), else absent.
aiSalaryEstimateMin	number	AI estimated minimum salary (add-on), else absent.
aiSalaryEstimateMax	number	AI estimated maximum salary (add-on), else absent.
aiSalaryEstimateCurrency	string	Currency of the AI salary estimate (add-on), else absent.
aiSalaryEstimateBasis	string	Basis of the estimate, for example annual (add-on), else absent.
aiSalaryEstimateConfidence	string	Confidence of the estimate (add-on), else absent.
observedAt	string	ISO 8601 timestamp of when the record was collected.
error	string	null on success. On a failed run, a single item with a populated error field is written instead.

Example output record

Real record from a live run (input {"boardTokens":["stripe"],"withDescription":true,"withJdSummary":true,"withSkills":true,"withSalaryEstimate":true,"maxJobs":2}):

{
  "title": "Account Executive, Bridge",
  "company": "Stripe",
  "location": "SF, NYC, SEA, CHI",
  "department": "1642 Product Sales - MaaS",
  "url": "https://stripe.com/jobs/search?gh_jid=8077887",
  "jobId": "8077887",
  "internalJobId": "3499744",
  "boardToken": "stripe",
  "salaryMin": null,
  "salaryMax": null,
  "payRanges": [],
  "updatedAt": "2026-08-06T12:10:17-04:00",
  "firstPublished": "2026-07-22T13:15:53-04:00",
  "aiJdSummary": "The Account Executive at Bridge is responsible for managing a portfolio of existing accounts to drive revenue growth ... 5-8 years of experience in sales or account management preferred.",
  "aiSkills": ["account management", "analytical skills", "commercial negotiations"],
  "aiTechnologies": ["CRM tools", "Excel", "SQL"],
  "aiSeniority": "mid",
  "aiSalaryEstimateMin": 90000,
  "aiSalaryEstimateMax": 130000,
  "aiSalaryEstimateCurrency": "USD",
  "aiSalaryEstimateBasis": "annual",
  "aiSalaryEstimateConfidence": "high",
  "observedAt": "2026-08-14T06:03:47.496Z",
  "error": null
}

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~greenhouse-jobs-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"boardTokens":["stripe"],"searchQuery":"engineer","maxJobs":25,"withDescription":true}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~greenhouse-jobs-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"boardTokens":["stripe","airbnb","figma"],"maxJobs":200}'

Apify CLI:

apify call scrapers_lat/greenhouse-jobs-scraper \
  --input '{"boardTokens":["figma"],"maxJobs":50,"withDescription":true}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.

Billing and limits

• Pay per result. You are charged per job returned. The result event applies to listing-level records and the richer details event when withDescription is on. See the pricing tab for current per-result prices.
• Add-ons. The three AI add-ons and the contact add-on are priced separately and charge only when they produce output.
• No charge on failure. If a run errors, the actor writes a single item with a populated error field and does not charge for it. Empty runs cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results.
• Free Apify plans are capped at 10 jobs per run, and the contact add-on to 3 enrichments. Upgrade for higher maxJobs.

FAQ and troubleshooting

A run returned 0 jobs. Why? The board token was wrong, the company has no open roles, or the searchQuery filtered everything out. Confirm the token from the careers URL and loosen the keyword. Zero-result runs are not charged.

Where do I find the board token? It is the company slug in its Greenhouse URL, for example boards.greenhouse.io/stripe gives the token stripe.

Why are salaryMin and salaryMax null? The employer did not publish a salary. Any published ranges appear in payRanges; when none exist, the withSalaryEstimate add-on can infer a market range.

Why is the description empty? withDescription was off, so only lightweight listing fields were collected. Turn it on to fetch the full HTML and plain-text description.

Why did the AI fields not appear? The AI add-ons require a paid Apify plan and are off by default. Enable withJdSummary, withSkills or withSalaryEstimate on a paid plan. They charge only when output is produced.

Is this an official Greenhouse tool? No. This actor is independent and not affiliated with Greenhouse. It reads only publicly available company job boards.

Related scrapers

• Lever Jobs Scraper: Job listings from Lever boards.
• Ashby Jobs Scraper: Job listings from Ashby boards.
• BambooHR Jobs Scraper: Job listings from BambooHR boards.
• Indeed Jobs Scraper: Job listings from Indeed.
• LinkedIn Jobs Scraper: Job listings from LinkedIn.

More scrapers at scrapers.lat

Built and maintained by scrapers.lat, where we publish scrapers for US and Latin American public platforms: company registries, government data, finance, e-commerce and more. Browse the catalog or request a custom scraper at scrapers.lat.

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Independent tool, not affiliated with Greenhouse. Accesses only publicly available company job boards.