# LinkedIn Jobs Scraper (`thenetaji/linkedin-jobs-scraper`) Actor

Search LinkedIn jobs by keyword and location with date, experience, job-type, and workplace filters, paginate through results, and optionally enrich each job with the full posting.

- **URL**: https://apify.com/thenetaji/linkedin-jobs-scraper.md
- **Developed by:** [The Netaji](https://apify.com/thenetaji) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.10 / 1,000 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

**Search LinkedIn jobs with hiring filters, then optionally turn each listing into a fuller job record.**

LinkedIn Jobs Scraper is my research tool for questions that a single job page cannot answer: which companies are hiring for a role, how demand differs by location, and how experience or workplace filters change the market you see.

### Frame the market before collecting it

Begin with a specific keyword and location. Date posted, experience level, job type, workplace, and sorting filters let you define a defensible slice of the market instead of downloading an unexplained pile of listings.

#### Keyword search

Search jobs by keywords, with an optional location resolved automatically to a LinkedIn geo ID.

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `keywords` | string | Yes | Job search keywords, e.g. a title, skill, or company name. |
| `location` | string | No | A place name to search jobs in. Resolved to a LinkedIn geo ID automatically; ignored when geo_id is set. |
| `maxItems` | integer | No | Maximum number of job listings to save. Set to 0 for no item limit. |

#### Filtered search

Narrow results with date posted, experience level, job type, workplace type, and sort order.

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `keywords` | string | Yes | Job search keywords, e.g. a title, skill, or company name. |
| `geo_id` | string | No | A known LinkedIn geo ID to search jobs in. Overrides location when set. |
| `date_posted` | string | No | Only return jobs posted within this window. |
| `experience_levels` | array<string> | No | Only return jobs matching these experience levels. |
| `job_types` | array<string> | No | Only return jobs matching these employment types. |
| `workplace` | string | No | Only return jobs matching this workplace type. |
| `sortBy` | string | No | Order jobs by recency or relevance. |

#### Search with enrichment

Enable Enrich jobs to attach applicant counts, criteria, and the full job description to every result.

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `keywords` | string | Yes | Job search keywords, e.g. a title, skill, or company name. |
| `enrichJob` | boolean | No | Fetch the full job posting for each result and attach applicants, criteria, and description. |

#### Example market slice

```json
{
  "keywords": "Software Engineer",
  "location": "San Francisco Bay Area",
  "maxItems": 20,
  "enrichJob": false
}
````

### Choose discovery rows or enriched postings

The search result fields are suited to scanning titles, companies, locations, and listing URLs. Turn on job enrichment only when the analysis needs the full posting; it adds depth, but it also changes run cost and processing time.

#### Job listing

| Field | Type | Description |
| --- | --- | --- |
| `job_id` | string | LinkedIn job posting ID. |
| `title` | string | Job title. |
| `company` | string | Hiring company name. |
| `location` | string | Location shown on the profile. |
| `url` | string | LinkedIn profile URL for the related profile. |
| `posted_at` | string | Job posting date. |
| `posted_label` | string | Human-readable posting age, e.g. "8 months ago". |

#### Compensation

| Field | Type | Description |
| --- | --- | --- |
| `salary` | mixed | Salary range, when listed. |
| `benefits` | mixed | Benefits badge shown on the listing, e.g. "Actively Hiring". |

#### Enriched details

| Field | Type | Description |
| --- | --- | --- |
| `applicants` | string | Applicant count label, from job enrichment. |
| `is_active` | boolean | Whether the job posting is still active, from job enrichment. |
| `criteria` | object | Seniority level, employment type, job function, and industries, from job enrichment. |
| `description_text` | string | Plain-text job description, from job enrichment. |
| `description_html` | string | HTML job description, from job enrichment. |
| `poster` | mixed | Job poster/recruiter info, from job enrichment. |
| `enriched` | boolean | Whether a full profile was successfully attached. |

#### Shortened result

```json
{
  "job_id": "4318514364",
  "title": "Software Engineer",
  "company": "Voltai",
  "location": "Palo Alto, CA",
  "url": "https://www.linkedin.com/jobs/view/software-engineer-at-voltai-4318514364",
  "posted_at": "2025-10-22",
  "posted_label": "8 months ago"
}
```

### Three analyses I would build from this dataset

- Compare role demand across locations using the same keyword and filters.
- Track which employers repeatedly open similar positions on a schedule.
- Separate remote, hybrid, and on-site hiring signals before deeper description analysis.

### Cost follows the collection strategy

This Actor uses Apify pay-per-result pricing. You are charged for successful dataset results according to the Actor pricing shown on the Apify Pricing tab. Enrichment may add extra billable events when enabled.

Apify's free credits may cover small test runs and up to the free result allowance configured for the Actor.

Start with a low maxItems value before enabling enrichment for large runs.

### Legal and ethical use

This Actor extracts publicly available LinkedIn profile information. It should not be used to collect private account data, bypass access controls, or contact people in ways that violate privacy laws, LinkedIn terms, or your own compliance obligations. If you are unsure, consult a qualified lawyer.

### Run this Actor from code

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")
run = client.actor("thenetaji/linkedin-jobs-scraper").call(run_input={
    "keywords": "Software Engineer",
    "location": "San Francisco Bay Area",
    "maxItems": 20,
    "enrichJob": false
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

#### Node.js

```javascript
import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_APIFY_API_TOKEN" });
const run = await client.actor("thenetaji/linkedin-jobs-scraper").call({
  "keywords": "Software Engineer",
  "location": "San Francisco Bay Area",
  "maxItems": 20,
  "enrichJob": false
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

### Continue from jobs to companies or people

- [LinkedIn Company Scraper](https://apify.com/thenetaji/linkedin-company-scraper) — Fetch full public LinkedIn company page details — industry, size, headquarters, specialties, similar and affiliated pages, and recent updates — for one or more company handles or URLs.
- [LinkedIn Profile Scraper](https://apify.com/thenetaji/linkedin-profile-scraper) — Fetch full public LinkedIn profile details — headline, location, about, work history, education, articles, and activity — for one or more usernames or profile URLs.
- [Facebook Ads Library Scrape](https://apify.com/thenetaji/meta-facebook-ads-scraper) — Scrape public Facebook and Instagram ads from Meta Ad Library: search by keyword or Ad Library URL, browse every ad from a known advertiser Page, or find a Page's ID by brand name. Filter by country, status, category, format, platform, and date, and optionally enrich each ad with full details.

### Ask the maintainer

Use the Issues tab on the Actor page for bug reports, missing fields, and feature requests.

# Actor input Schema

## `keywords` (type: `string`):

Job search keywords, e.g. a title, skill, or company name.

## `location` (type: `string`):

A place name to search jobs in. Resolved to a LinkedIn geo ID automatically; ignored when geo\_id is set.

## `maxItems` (type: `integer`):

Maximum number of job listings to save. Set to 0 for no item limit.

## `enrichJob` (type: `boolean`):

Fetch the full job posting for each result and attach applicants, criteria, and description.

## `geo_id` (type: `string`):

A known LinkedIn geo ID to search jobs in. Overrides location when set.

## `date_posted` (type: `string`):

Only return jobs posted within this window.

## `experience_levels` (type: `array`):

Only return jobs matching these experience levels.

## `job_types` (type: `array`):

Only return jobs matching these employment types.

## `workplace` (type: `string`):

Only return jobs matching this workplace type.

## `sortBy` (type: `string`):

Order jobs by recency or relevance.

## Actor input object example

```json
{
  "keywords": "Data Scientist",
  "location": "London",
  "maxItems": 20,
  "enrichJob": false
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing all scraped data

# 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 = {
    "keywords": "Data Scientist",
    "location": "London",
    "maxItems": 20
};

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

# Prepare the Actor input
run_input = {
    "keywords": "Data Scientist",
    "location": "London",
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("thenetaji/linkedin-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 '{
  "keywords": "Data Scientist",
  "location": "London",
  "maxItems": 20
}' |
apify call thenetaji/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "LinkedIn Jobs Scraper",
        "description": "Search LinkedIn jobs by keyword and location with date, experience, job-type, and workplace filters, paginate through results, and optionally enrich each job with the full posting.",
        "version": "0.1",
        "x-build-id": "TjdDMbApEeObLnH94"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/thenetaji~linkedin-jobs-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-thenetaji-linkedin-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/thenetaji~linkedin-jobs-scraper/runs": {
            "post": {
                "operationId": "runs-sync-thenetaji-linkedin-jobs-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/thenetaji~linkedin-jobs-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-thenetaji-linkedin-jobs-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "keywords"
                ],
                "properties": {
                    "keywords": {
                        "title": "Keywords",
                        "type": "string",
                        "description": "Job search keywords, e.g. a title, skill, or company name."
                    },
                    "location": {
                        "title": "Location",
                        "type": "string",
                        "description": "A place name to search jobs in. Resolved to a LinkedIn geo ID automatically; ignored when geo_id is set."
                    },
                    "maxItems": {
                        "title": "Max results",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum number of job listings to save. Set to 0 for no item limit.",
                        "default": 100
                    },
                    "enrichJob": {
                        "title": "Enrich jobs",
                        "type": "boolean",
                        "description": "Fetch the full job posting for each result and attach applicants, criteria, and description.",
                        "default": false
                    },
                    "geo_id": {
                        "title": "Geo ID",
                        "type": "string",
                        "description": "A known LinkedIn geo ID to search jobs in. Overrides location when set."
                    },
                    "date_posted": {
                        "title": "Date posted",
                        "enum": [
                            "past_24_hours",
                            "past_week",
                            "past_month"
                        ],
                        "type": "string",
                        "description": "Only return jobs posted within this window."
                    },
                    "experience_levels": {
                        "title": "Experience levels",
                        "type": "array",
                        "description": "Only return jobs matching these experience levels.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "internship",
                                "entry_level",
                                "associate",
                                "mid_senior",
                                "director",
                                "executive"
                            ]
                        }
                    },
                    "job_types": {
                        "title": "Job types",
                        "type": "array",
                        "description": "Only return jobs matching these employment types.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "full_time",
                                "part_time",
                                "contract",
                                "temporary",
                                "internship",
                                "volunteer",
                                "other"
                            ]
                        }
                    },
                    "workplace": {
                        "title": "Workplace type",
                        "enum": [
                            "on_site",
                            "remote",
                            "hybrid"
                        ],
                        "type": "string",
                        "description": "Only return jobs matching this workplace type."
                    },
                    "sortBy": {
                        "title": "Sort by",
                        "enum": [
                            "most_recent",
                            "most_relevant"
                        ],
                        "type": "string",
                        "description": "Order jobs by recency or relevance."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```