# Lever Jobs Scraper (`crawlerbros/lever-jobs-scraper`) Actor Scrape job postings from Lever.co company boards. Get all postings from one or more companies, or fetch specific postings by ID - with location, team, salary range, requirements, and apply links. - **URL**: https://apify.com/crawlerbros/lever-jobs-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Jobs, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Lever Jobs Scraper Extract job postings from any [Lever.co](https://www.lever.co/) company board. Get all open positions for one or more companies, or fetch specific postings by ID — all via the Lever public REST API with no authentication required. ### What Does Lever Jobs Scraper Do? Lever is a popular applicant tracking system used by companies like Netflix, Shopify, Duolingo, Coinbase, and many more. This actor lets you: - **Scrape all open postings** from one or more Lever company boards in a single run - **Fetch specific postings** by company slug and posting UUID for targeted lookups - **Filter by team, location, or commitment type** (Full-time, Part-time, Contract, Internship) - Collect **rich job metadata**: title, location, team/department, salary range, requirements, responsibilities, and apply links ### Output Data Each posting record contains: | Field | Description | |-------|-------------| | `id` | Lever posting UUID | | `text` | Job title | | `state` | Posting state (e.g., `published`) | | `companySlug` | Lever company board slug | | `categories` | Object with `commitment`, `location`, `team`, `department` | | `descriptionPlain` | Plain-text job description | | `lists` | Structured lists (requirements, responsibilities) | | `additional` | Additional information text | | `salaryRange` | Salary object with `min`, `max`, `currency`, `interval` | | `applyUrl` | Direct application URL | | `hostedUrl` | Full Lever job listing URL | | `sourceUrl` | Constructed Lever board URL | | `createdAt` | ISO 8601 UTC timestamp when the posting was created | | `recordType` | Always `"job"` | | `scrapedAt` | ISO 8601 UTC timestamp of scrape | #### Sample Output ```json { "id": "abc123-def456-ghi789", "text": "Senior Software Engineer", "state": "published", "companySlug": "stripe", "categories": { "commitment": "Full-time", "location": "San Francisco, CA", "team": "Engineering", "department": "Product Engineering" }, "descriptionPlain": "We are looking for a Senior Software Engineer...", "salaryRange": { "min": 150000, "max": 200000, "currency": "USD", "interval": "per year" }, "applyUrl": "https://jobs.lever.co/stripe/abc123-def456-ghi789/apply", "hostedUrl": "https://jobs.lever.co/stripe/abc123-def456-ghi789", "sourceUrl": "https://jobs.lever.co/stripe/abc123-def456-ghi789", "createdAt": "2024-06-01T08:00:00+00:00", "recordType": "job", "scrapedAt": "2026-05-30T12:00:00+00:00" } ```` ### Input Configuration | Field | Type | Required | Description | |-------|------|----------|-------------| | `mode` | select | Yes | `getJobs` — all postings from boards; `getJob` — specific posting by ID | | `companySlugs` | array | For getJobs | Lever company slugs (e.g. `["netflix", "stripe"]`) | | `companySlug` | string | For getJob | Single company slug | | `postingIds` | array | For getJob | List of Lever posting UUIDs | | `team` | string | No | Filter by team name (e.g. `"Engineering"`) | | `location` | string | No | Filter by location (e.g. `"San Francisco"`, `"Remote"`) | | `commitment` | select | No | Filter by job type: Full-time, Part-time, Contract, Internship | | `maxItems` | integer | No | Max records to return (1–10,000, default: 500) | #### How to Find a Company Slug The company slug appears in the Lever job board URL. For example: - `https://jobs.lever.co/stripe` → slug is `stripe` - `https://jobs.lever.co/netflix` → slug is `netflix` ### Usage Examples #### Get all jobs from multiple companies ```json { "mode": "getJobs", "companySlugs": ["stripe", "netflix", "figma"], "maxItems": 1000 } ``` #### Get only engineering roles ```json { "mode": "getJobs", "companySlugs": ["coinbase", "duolingo"], "team": "Engineering", "commitment": "Full-time" } ``` #### Fetch specific postings by ID ```json { "mode": "getJob", "companySlug": "stripe", "postingIds": ["abc123-def456-ghi789", "xyz987-uvw654"] } ``` #### Get remote jobs only ```json { "mode": "getJobs", "companySlugs": ["remote-company"], "location": "Remote", "maxItems": 200 } ``` ### Use Cases - **Job market research** — track hiring trends across high-growth tech companies - **Competitive intelligence** — monitor which teams and roles competitors are building - **Job aggregation** — power job boards or career sites with real-time Lever data - **Recruitment analytics** — analyze salary ranges, team growth, and location trends - **HR benchmarking** — compare job requirements and compensation across companies ### Frequently Asked Questions **Is authentication required?** No. The Lever public posting API is completely open — no API key or account needed. **How do I find a company's Lever slug?** Visit the company's job listings page. If hosted on Lever, the URL will contain `lever.co`. The slug is the part after `jobs.lever.co/`. **Does the API support filtering?** Yes — Lever's API supports server-side filtering by `team`, `location`, and `commitment`. This actor passes those filters directly to the API and also applies client-side validation. **What is a posting UUID?** Each Lever job posting has a unique UUID identifier (e.g., `abc123-def456-ghi789`). You can find it in the posting's URL on the company's Lever board. **Is salary data always available?** No — salary range is only included when the company provides it in the Lever posting. Many postings omit salary. **How many postings can I scrape?** Up to 10,000 postings per run. The Lever API returns all matching postings in a single request. **How fresh is the data?** Postings are fetched in real-time from the Lever API. Each record includes a `createdAt` timestamp from Lever. ### Data Source Data is sourced directly from the [Lever.co public posting API](https://api.lever.co/v0/postings/) — the same API that powers company career pages built on Lever. No scraping of rendered HTML is performed. # Actor input Schema ## `mode` (type: `string`): What to fetch: all postings from company boards, or a specific posting by ID. ## `companySlugs` (type: `array`): List of Lever company board slugs to scrape (e.g. \["netflix", "stripe"]). Find the slug in the Lever URL: jobs.lever.co/{slug} ## `companySlug` (type: `string`): Single company slug for fetching a specific posting (e.g. "stripe"). ## `postingIds` (type: `array`): List of Lever posting UUIDs to fetch (e.g. \["abc123-..."]). ## `team` (type: `string`): Filter postings by team name (e.g. "Engineering", "Sales"). ## `location` (type: `string`): Filter postings by location string (e.g. "San Francisco", "Remote"). ## `commitment` (type: `string`): Filter postings by employment commitment type. ## `maxItems` (type: `integer`): Maximum number of posting records to emit. ## Actor input object example ```json { "mode": "getJobs", "companySlugs": [ "wealthfront" ], "commitment": "", "maxItems": 500 } ``` # Actor output Schema ## `jobs` (type: `string`): Dataset containing all scraped Lever job postings. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "mode": "getJobs", "companySlugs": [ "wealthfront" ], "commitment": "", "maxItems": 500 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/lever-jobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "mode": "getJobs", "companySlugs": ["wealthfront"], "commitment": "", "maxItems": 500, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/lever-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "mode": "getJobs", "companySlugs": [ "wealthfront" ], "commitment": "", "maxItems": 500 }' | apify call crawlerbros/lever-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/lever-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Lever Jobs Scraper", "description": "Scrape job postings from Lever.co company boards. Get all postings from one or more companies, or fetch specific postings by ID - with location, team, salary range, requirements, and apply links.", "version": "1.0", "x-build-id": "9DVv5891pXmq25hqo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~lever-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-lever-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~lever-jobs-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-lever-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~lever-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-lever-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "getJobs", "getJob" ], "type": "string", "description": "What to fetch: all postings from company boards, or a specific posting by ID.", "default": "getJobs" }, "companySlugs": { "title": "Company slugs (mode=getJobs)", "type": "array", "description": "List of Lever company board slugs to scrape (e.g. [\"netflix\", \"stripe\"]). Find the slug in the Lever URL: jobs.lever.co/{slug}", "items": { "type": "string" } }, "companySlug": { "title": "Company slug (mode=getJob)", "type": "string", "description": "Single company slug for fetching a specific posting (e.g. \"stripe\")." }, "postingIds": { "title": "Posting IDs (mode=getJob)", "type": "array", "description": "List of Lever posting UUIDs to fetch (e.g. [\"abc123-...\"]).", "items": { "type": "string" } }, "team": { "title": "Filter by team", "type": "string", "description": "Filter postings by team name (e.g. \"Engineering\", \"Sales\")." }, "location": { "title": "Filter by location", "type": "string", "description": "Filter postings by location string (e.g. \"San Francisco\", \"Remote\")." }, "commitment": { "title": "Filter by commitment / job type", "enum": [ "", "Full-time", "Part-time", "Contract", "Internship" ], "type": "string", "description": "Filter postings by employment commitment type.", "default": "" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of posting records to emit.", "default": 500 } } }, "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 } } }, "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 } } } } } } } } } } ```