Lever Jobs Scraper · Job Postings, Teams, Locations & Salary
Pricing
from $2.00 / 1,000 job returneds
Scrape open job postings, departments, locations, remote status, compensation and application URLs from any Lever company job board.
You can access the Lever Jobs Scraper · Job Postings, Teams, Locations & Salary 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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Paste the board slug (e.g. \"spotify\") or full URL (e.g. \"https://jobs.lever.co/spotify\"). Example: spotify, palantir, coins, qonto. Leave empty to run sample boards.", "items": { "type": "string" } }, "titleKeywords": { "title": "Job title must contain any of", "type": "array", "description": "Case-insensitive filter. Keeps postings whose title contains at least one of these keywords. Example: engineer, developer.<br><br>Leave this field empty to include every option.", "items": { "type": "string" } }, "excludeTitleKeywords": { "title": "Job title must NOT contain any of", "type": "array", "description": "Case-insensitive exclusion filter. Drops postings whose title contains any of these keywords. Example: intern, contract.<br><br>Leave this field empty to include every option.", "items": { "type": "string" } }, "departmentKeywords": { "title": "Department contains any of", "type": "array", "description": "Matched against department and team names. Example: engineering, sales, product.<br><br>Leave this field empty to include every option.", "items": { "type": "string" } }, "locationKeywords": { "title": "Location contains any of", "type": "array", "description": "Matched against location and allLocations fields. Example: San Francisco, London, Remote.<br><br>Leave this field empty to include every option.", "items": { "type": "string" } }, "descriptionKeywords": { "title": "Description contains any of", "type": "array", "description": "Full-text keyword search inside the job description. Example: Python, Kubernetes, React.<br><br>Leave this field empty to include every option.", "items": { "type": "string" } }, "workplaceTypes": { "title": "Workplace type", "type": "array", "description": "Filter by workplace environment as published by Lever. Example: remote, hybrid, on-site.<br><br>Leave this field empty to include every option.", "items": { "type": "string", "enum": [ "remote", "hybrid", "on-site", "unspecified" ], "enumTitles": [ "Remote", "Hybrid", "On-site", "Unspecified" ] } }, "remoteOnly": { "title": "Remote jobs only", "type": "boolean", "description": "Keep only postings whose workplace type or location indicates remote work. Example: true.", "default": false }, "postedWithinDays": { "title": "Posted within the last N days", "minimum": 1, "maximum": 3650, "type": "integer", "description": "Filter by posting creation date in days. Example: 30 for jobs posted in the past month.<br><br>The higher the number, the longer the run takes and the more you are charged, because you pay per row returned." }, "includeDescription": { "title": "Include full job description (plain text)", "type": "boolean", "description": "Adds descriptionText to every output row. Turn off for a compact feed. Example: true.", "default": true }, "includeDescriptionHtml": { "title": "Include job description as HTML", "type": "boolean", "description": "Adds descriptionHtml with original HTML formatting. Example: false.", "default": false }, "maxItems": { "title": "Max jobs total", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of total job postings returned across all company boards. Example: 200.<br><br>The higher the number, the longer the run takes and the more you are charged, because you pay per row returned.", "default": 200 }, "maxItemsPerCompany": { "title": "Max jobs per company", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Cap the number of postings returned per single company board. 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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 Lever Jobs Scraper · Job Postings, Teams, Locations & Salary from the options below:
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