# Lever Job Scraper — Spotify, GitHub & 5,000+ Companies (`bovi/lever-job-scraper`) Actor

Scrape job postings from any Lever-powered career page. Returns title, location, remote\_type, seniority, salary, department, team, employment\_type, descriptions, apply URL, and parse\_confidence. Official Lever API — no proxy, no bans. Pay per result.

- **URL**: https://apify.com/bovi/lever-job-scraper.md
- **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community)
- **Categories:** Jobs, Lead generation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.45 / 1,000 job results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
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 Job Scraper — Clean Schema + Seniority + Remote Type

For talent intelligence and job aggregation teams that scrape Spotify, GitHub, Netflix, Lyft, Figma — and need all office locations per posting, not just the primary.

**Pay per result — $1.50 / 1,000 jobs.** No API key. No proxy. Official Lever API — no bans.

Extract job postings from any **Lever-powered career page** — Spotify, Netflix, GitHub, Lyft, Figma, Brex, and 5,000+ more companies. Uses Lever's official public API: zero auth, zero proxy cost, zero bans.

### What makes this scraper better?

Most Lever scrapers return raw API fields with minimal processing. This one adds:

| Edge | What it means |
|---|---|
| **Canonical seniority** | Inferred from title: `executive / vp / director / manager / principal / staff / lead / senior / intern / entry / mid` |
| **Canonical remote_type** | `remote / hybrid / onsite` — from `workplaceType` first, location text fallback |
| **Full merged descriptions** | All Lever sub-sections merged: intro + body + bullet lists + additional info |
| **Salary extraction** | Parsed from `salaryDescription` when the company populates it |
| **allLocations** | Multi-location postings include all posting locations, not just the primary |
| **parse_confidence** | Machine-readable quality score per record (0.0–1.0) + warnings list |
| **global_id** | `lever:<company>:<job_id>` — stable deduplication key across runs |
| **Clean, flat schema** | Predictable column set every run — no surprise null keys |

### Input

```json
{
  "companies": ["spotify", "github", "netflix"],
  "titleKeyword": "engineer",
  "locationKeyword": "New York",
  "remoteOnly": false,
  "includeDescriptions": true,
  "maxJobsPerCompany": 50,
  "maxTotalJobs": 0
}
````

**How to find a company slug:** Go to `jobs.lever.co/<slug>` — the slug is the part after `lever.co/`. Example: `jobs.lever.co/spotify` → slug is `spotify`.

### Output schema

```json
{
  "company":          "spotify",
  "title":            "Senior Software Engineer",
  "location":         "New York, NY",
  "all_locations":    "New York, NY, San Francisco, CA",
  "remote_type":      "hybrid",
  "seniority":        "senior",
  "department":       "Engineering",
  "team":             "Platform",
  "employment_type":  "Full-time",
  "salary":           "$150,000 – $200,000 USD",
  "url":              "https://jobs.lever.co/spotify/abc123",
  "apply_url":        "https://jobs.lever.co/spotify/abc123/apply",
  "posted_at":        "2024-01-15T08:30:00+00:00",
  "job_id":           "abc123",
  "global_id":        "lever:spotify:abc123",
  "description_text": "We are looking for…",
  "description_html": "<p>We are looking for…</p>",
  "parse_confidence": 1.0,
  "warnings":         []
}
```

### Use cases

- **AI job-matching pipelines** — clean, flat schema feeds LLMs and vector DBs
- **Talent intelligence** — track competitor hiring signals in real time
- **Job aggregator sites** — populate boards with fresh postings
- **Recruitment research** — analyze tech hiring trends, seniority distributions
- **Sales prospecting** — identify companies actively hiring in specific roles

### Pricing

Pay-per-result PPE model: **$1.50 / 1,000 jobs** ($0.0015 per record).

**Worked example:** 5 companies × 50 jobs = 250 results = **$0.38**. 20 companies × 100 jobs = 2,000 results = **$3.00**.

### FAQ

**Do I need an API key or proxy?**
No. Lever's public API (`api.lever.co/v0/postings/<slug>`) is open — no auth, no proxy cost, no bans.

**What output formats are available?**
JSON, JSONL, CSV, and Excel via the Apify dataset export, plus the Apify REST API.

**Can I schedule daily runs?**
Yes — use Apify Scheduler. Each run returns the current open jobs; use `global_id` (`lever:<company>:<job_id>`) as a stable key for deduplication.

**What if a company returns 0 jobs or the slug is wrong?**
The actor logs a warning, records the slug in `failedDetails`, and continues with the remaining companies — no crash, no broken run.

### Integrations

Built for talent-intelligence and job-aggregation teams tracking open roles with seniority, remote type, and salary across Lever boards — the JSON/dataset output drops into the tools you already run, no glue code:

- **n8n / Make / Zapier** — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: [n8n](https://docs.apify.com/platform/integrations/n8n), [Make](https://docs.apify.com/platform/integrations/make), [Zapier](https://docs.apify.com/platform/integrations/zapier).
- **Webhooks** — fire your own endpoint the moment a run finishes, to push results straight into your pipeline ([docs](https://docs.apify.com/platform/integrations/webhooks)).
- **MCP server** — expose this actor as a tool to Claude, Cursor, or any [MCP client](https://mcp.apify.com) so an AI agent can pull this data mid-conversation ([guide](https://blog.apify.com/how-to-use-mcp/)).
- **API & SDKs** — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.

See all [Apify integrations](https://apify.com/integrations).

### Is it legal?

Yes. We query Lever's official public API (`api.lever.co/v0/postings/<slug>?mode=json`), which is publicly accessible without authentication. No personal data beyond what companies choose to publish publicly.

### Competitor comparison

| Feature | This actor | satish5813/lever-jobs-scraper | bytepulselabs/lever-job-scraper |
|---|---|---|---|
| Seniority field | ✅ (11 levels) | ❌ | ❌ |
| Canonical remote\_type | ✅ | ✅ raw field | partial |
| Merged descriptions (all sections) | ✅ | partial | partial |
| parse\_confidence per record | ✅ | ❌ | ❌ |
| `all_locations` (multi-location postings) | ✅ | ❌ | ❌ |
| global\_id for deduplication | ✅ | ❌ | ❌ |
| Title keyword filter | ✅ | ✅ | ❌ |
| Location keyword filter | ✅ | ✅ | ❌ |
| Remote-only filter | ✅ | ❌ | ❌ |
| `maxTotalJobs` cap (billing safety) | ✅ | ❌ | ❌ |
| Official API (no DOM scraping) | ✅ | ✅ | ✅ |
| Price | $1.50/1k | varies | varies |

`all_locations` is unique to this actor in the cluster: multi-location Lever postings include every office, not just the primary posting location. Essential for global talent intelligence.

`parse_confidence` (0.0–1.0) and `warnings` in every record — deductions for missing job\_id (0.50), title (0.30), url (0.10), location (0.05), posted\_at (0.05), description (0.05).

### Use with AI agents (MCP)

This actor is MCP-compatible. Use it as a data source in n8n, Make, or any LLM agent pipeline.

```
https://mcp.apify.com/?tools=bovi/lever-job-scraper
```

The flat schema with `global_id` (`lever:<company>:<job_id>`) and `all_locations` is designed for LLM pipelines, vector databases, and n8n/Make job-matching workflows. Need to cover Greenhouse, Ashby, Recruitee, SmartRecruiters and Personio too? Use the flagship [Multi-ATS Job Scraper](https://apify.com/bovi/greenhouse-lever-ashby-job-scraper) — all 6 ATS in one unified schema.

# Actor input Schema

## `companies` (type: `array`):

List of Lever company slugs. Each slug is the part after jobs.lever.co/ in the URL. Example: for jobs.lever.co/spotify the slug is 'spotify'.

## `titleKeyword` (type: `string`):

Case-insensitive substring to filter job titles. Example: 'engineer' returns only jobs whose title contains 'engineer'. Leave blank to return all jobs.

## `locationKeyword` (type: `string`):

Case-insensitive substring to filter job locations. Example: 'New York' or 'Remote'. Leave blank to return all locations.

## `remoteOnly` (type: `boolean`):

If enabled, only jobs with remote\_type='remote' are returned.

## `includeDescriptions` (type: `boolean`):

If enabled, description\_text and description\_html fields are populated. Slightly larger output but valuable for AI pipelines and keyword matching.

## `maxJobsPerCompany` (type: `integer`):

Maximum number of jobs to return per company slug. 0 = no limit.

## `maxTotalJobs` (type: `integer`):

Maximum total jobs across all companies. 0 = no limit.

## Actor input object example

```json
{
  "companies": [
    "spotify",
    "github",
    "netflix"
  ],
  "remoteOnly": false,
  "includeDescriptions": true,
  "maxJobsPerCompany": 50,
  "maxTotalJobs": 0
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing Lever Job Scraper records (company, title, location, remote\_type, seniority, department, employment\_type, salary, url, posted\_at, parse\_confidence).

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "companies": [
        "spotify",
        "github",
        "netflix"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("bovi/lever-job-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "companies": [
        "spotify",
        "github",
        "netflix",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("bovi/lever-job-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 '{
  "companies": [
    "spotify",
    "github",
    "netflix"
  ]
}' |
apify call bovi/lever-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=bovi/lever-job-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Lever Job Scraper — Spotify, GitHub & 5,000+ Companies",
        "description": "Scrape job postings from any Lever-powered career page. Returns title, location, remote_type, seniority, salary, department, team, employment_type, descriptions, apply URL, and parse_confidence. Official Lever API — no proxy, no bans. Pay per result.",
        "version": "0.1",
        "x-build-id": "xuDhVaY3fvIYiklk4"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/bovi~lever-job-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-bovi-lever-job-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/bovi~lever-job-scraper/runs": {
            "post": {
                "operationId": "runs-sync-bovi-lever-job-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/bovi~lever-job-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-bovi-lever-job-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "properties": {
                    "companies": {
                        "title": "Company slugs",
                        "type": "array",
                        "description": "List of Lever company slugs. Each slug is the part after jobs.lever.co/ in the URL. Example: for jobs.lever.co/spotify the slug is 'spotify'.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "titleKeyword": {
                        "title": "Title keyword filter",
                        "type": "string",
                        "description": "Case-insensitive substring to filter job titles. Example: 'engineer' returns only jobs whose title contains 'engineer'. Leave blank to return all jobs."
                    },
                    "locationKeyword": {
                        "title": "Location keyword filter",
                        "type": "string",
                        "description": "Case-insensitive substring to filter job locations. Example: 'New York' or 'Remote'. Leave blank to return all locations."
                    },
                    "remoteOnly": {
                        "title": "Remote jobs only",
                        "type": "boolean",
                        "description": "If enabled, only jobs with remote_type='remote' are returned.",
                        "default": false
                    },
                    "includeDescriptions": {
                        "title": "Include full job descriptions",
                        "type": "boolean",
                        "description": "If enabled, description_text and description_html fields are populated. Slightly larger output but valuable for AI pipelines and keyword matching.",
                        "default": true
                    },
                    "maxJobsPerCompany": {
                        "title": "Max jobs per company",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum number of jobs to return per company slug. 0 = no limit.",
                        "default": 50
                    },
                    "maxTotalJobs": {
                        "title": "Max total jobs",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum total jobs across all companies. 0 = no limit.",
                        "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
                                    }
                                }
                            },
                            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```