Greenhouse, Lever, Ashby, Workable & More Jobs Scraper
Pricing
from $1.50 / 1,000 job returneds
Get open jobs from any company on Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee or Personio in one clean format: title, location, remote type, pay range and apply link. Filter by keyword, date or pay, or return only jobs added since your last run.
You can access the Greenhouse, Lever, Ashby, Workable & More Jobs Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
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A plain name such as <code>stripe</code> is tried on Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee and Personio. Write the system first, for example <code>workable:huggingface</code>, to pick one.", "items": { "type": "string" } }, "presetLists": { "title": "Starter lists (optional)", "type": "array", "description": "Add a ready-made list of well-known companies on top of the ones above.", "items": { "type": "string", "enum": [ "ai", "fintech", "devtools" ], "enumTitles": [ "AI companies", "Fintech", "Developer tools" ] } }, "titleKeywords": { "title": "Job title contains any of", "type": "array", "description": "Keep a job if its title contains at least one of these words or phrases. Not case sensitive. Leave empty for all jobs.", "items": { "type": "string" } }, "excludeTitleKeywords": { "title": "Skip jobs whose title contains", "type": "array", "description": "Drop any job whose title contains one of these, for example <code>intern</code> or <code>manager</code>.", "items": { "type": "string" } }, "locationKeywords": { "title": "Location contains any of", "type": "array", "description": "For example <code>london</code>, <code>germany</code>, <code>new york</code>. Matches the main location and any extra locations.", "items": { "type": "string" } }, "departmentKeywords": { "title": "Department or team contains any of", "type": "array", "description": "For example <code>engineering</code> or <code>sales</code>.", "items": { "type": "string" } }, "remoteOnly": { "title": "Remote jobs only", "type": "boolean", "description": "Keep only jobs the company marks as remote.", "default": false }, "workplaceTypes": { "title": "Workplace type", "type": "array", "description": "Keep only these workplace types. Jobs where the company does not say are dropped when you pick any.", "items": { "type": "string", "enum": [ "remote", "hybrid", "onsite" ], "enumTitles": [ "Remote", "Hybrid", "On-site" ] } }, "employmentTypes": { "title": "Employment type", "type": "array", "description": "Greenhouse does not publish this, so Greenhouse jobs are dropped when you pick any.", "items": { "type": "string", "enum": [ "full_time", "part_time", "contract", "intern", "temporary" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Intern", "Temporary" ] } }, "postedWithinDays": { "title": "Posted within the last (days)", "minimum": 0, "type": "integer", "description": "Keep only jobs first posted in the last N days. 0 means any date.", "default": 0 }, "onlyWithSalary": { "title": "Only jobs that show a pay range", "type": "boolean", "description": "Keep only jobs where a salary range was found. SmartRecruiters shows pay only on the job page, so with this option every SmartRecruiters job page is read and the run takes longer.", "default": false }, "includeDescription": { "title": "Include the job description", "type": "boolean", "description": "Adds the full description to every job. Makes the output larger. The price per job stays the same. SmartRecruiters jobs need one extra page read each, so those runs take longer.", "default": false }, "descriptionFormat": { "title": "Description format", "enum": [ "text", "html" ], "type": "string", "description": "Used only when the description is included.", "default": "text" }, "onlyNewSinceLastRun": { "title": "Only jobs not seen in earlier runs", "type": "boolean", "description": "The first run returns everything that matches. Later runs with the same name below return only jobs that were not returned before. Good for daily or weekly schedules.", "default": false }, "stateKey": { "title": "Name for this saved search", "type": "string", "description": "Use a different name for each saved search so their memory stays separate. Only used with the option above.", "default": "default" }, "maxItems": { "title": "Maximum jobs to return", "minimum": 1, "type": "integer", "description": "Newest jobs come first. Set this to control your spend.", "default": 1000 }, "maxJobsPerCompany": { "title": "Maximum jobs per company", "minimum": 0, "type": "integer", "description": "0 means no limit per company.", "default": 0 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Greenhouse, Lever, Ashby, Workable & More Jobs Scraper from the options below:
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