# LinkedIn Jobs Scraper — Postings, Companies & Descriptions (`hichemdev/linkedin-jobs-scraper`) Actor
Scrape LinkedIn job listings by keyword and location without logging in: title, company, location, posted date, full description, seniority, employment type, job function and applicant count. Residential-proxy ready.
- **URL**: https://apify.com/hichemdev/linkedin-jobs-scraper.md
- **Developed by:** [Hichem Ben Moussa](https://apify.com/hichemdev) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $5.00 / 1,000 jobs
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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
## LinkedIn Jobs Scraper — Postings, Companies & Descriptions
Scrape **LinkedIn job listings at scale — no login, no cookies, no account risk.** Search by keyword and location and get clean, structured data for every posting: **title, company, location, posted date, full description, seniority level, employment type, job function, industries and applicant count.**
Most "LinkedIn scrapers" need your logged-in session (and can get your account flagged). This one uses LinkedIn's **public guest job endpoints**, so there's nothing to log into — just run it.
### What you can do with it
- 🧲 **Recruiting & sourcing** — track who's hiring for a role in a market, in real time
- 📊 **Job-market & salary research** — build datasets of demand by title, company, location
- 🏢 **Sales lead-gen** — find companies actively hiring (a strong buying signal)
- 🔔 **Job alerts / aggregators** — feed a board, newsletter, or Slack channel on a schedule
### Input
| Field | Type | Description |
|-------|------|-------------|
| `keywords` | string | Job title or keywords, e.g. `software engineer`, `product manager`. |
| `location` | string | e.g. `United States`, `London, United Kingdom`, `Remote`. |
| `maxJobs` | integer | Maximum number of postings to scrape. |
| `datePosted` | select | `any`, `24h`, `week`, `month`. |
| `jobType` | select | `full-time`, `part-time`, `contract`, `temporary`, `internship`. |
| `remoteFilter` | select | `on-site`, `remote`, `hybrid`. |
| `experienceLevel` | select | `entry-level`, `associate`, `mid-senior`, `director`, `executive`… |
| `fetchDescription` | boolean | Open each job for full description + criteria + applicant count. |
| `proxyConfiguration` | object | Residential proxy recommended (LinkedIn rate-limits datacenter IPs). |
#### Example
```json
{
"keywords": "data engineer",
"location": "Germany",
"datePosted": "week",
"remoteFilter": "remote",
"maxJobs": 200,
"fetchDescription": true
}
````
### Output
Each item is one job posting:
```json
{
"jobId": "4412034983",
"title": "Software Engineer I",
"company": "Sony Interactive Entertainment",
"companyUrl": "https://www.linkedin.com/company/sony-interactive-entertainment-llc",
"location": "Los Angeles Metropolitan Area",
"jobUrl": "https://www.linkedin.com/jobs/view/4412034983",
"postedAt": "2026-07-23",
"postedAgo": "3 days ago",
"companyLogo": "https://media.licdn.com/dms/image/…/company-logo_100_100…",
"benefit": "Actively Hiring",
"descriptionText": "Why Sony Interactive Entertainment? …",
"descriptionHtml": "Why Sony Interactive Entertainment? …
",
"seniorityLevel": "Not Applicable",
"employmentType": "Full-time",
"jobFunction": "Engineering and Information Technology",
"industries": "Software Development, Consumer Services, and Entertainment Providers",
"applicants": "Over 200 applicants"
}
```
Export to JSON, CSV, Excel, or pull live via the Apify API.
### Notes
- Uses LinkedIn's **public** guest job endpoints — **no login required**, so your account is never used or exposed.
- A **residential proxy** is strongly recommended; LinkedIn rate-limits datacenter IPs. The actor rotates IPs and retries on `429`.
- Set `fetchDescription: false` for a fast, cheap run (list data only) or `true` for the full description and job criteria.
# Actor input Schema
## `keywords` (type: `string`):
Job title or keywords to search for, e.g. "software engineer", "product manager", "data analyst".
## `location` (type: `string`):
Location to search in, e.g. "United States", "London, United Kingdom", "Remote".
## `maxJobs` (type: `integer`):
Maximum number of job postings to scrape.
## `datePosted` (type: `string`):
Filter by how recently the job was posted.
## `jobType` (type: `string`):
Filter by employment type.
## `remoteFilter` (type: `string`):
Filter by on-site, remote or hybrid.
## `experienceLevel` (type: `string`):
Filter by seniority.
## `fetchDescription` (type: `boolean`):
Open each job to also get the full description, seniority, employment type, job function, industries and applicant count. Slower but far richer.
## `proxyConfiguration` (type: `object`):
Proxy configuration. Residential proxy is strongly recommended — LinkedIn rate-limits datacenter IPs.
## Actor input object example
```json
{
"keywords": "software engineer",
"location": "United States",
"maxJobs": 15,
"datePosted": "any",
"jobType": "any",
"remoteFilter": "any",
"experienceLevel": "any",
"fetchDescription": true,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
```
# 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 = {
"keywords": "software engineer",
"location": "United States",
"maxJobs": 15
};
// Run the Actor and wait for it to finish
const run = await client.actor("hichemdev/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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"keywords": "software engineer",
"location": "United States",
"maxJobs": 15,
}
# Run the Actor and wait for it to finish
run = client.actor("hichemdev/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": "software engineer",
"location": "United States",
"maxJobs": 15
}' |
apify call hichemdev/linkedin-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=hichemdev/linkedin-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "LinkedIn Jobs Scraper — Postings, Companies & Descriptions",
"description": "Scrape LinkedIn job listings by keyword and location without logging in: title, company, location, posted date, full description, seniority, employment type, job function and applicant count. Residential-proxy ready.",
"version": "0.1",
"x-build-id": "Jowd7kG6Y5LHGRql6"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/hichemdev~linkedin-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-hichemdev-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/hichemdev~linkedin-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-hichemdev-linkedin-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/hichemdev~linkedin-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-hichemdev-linkedin-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"keywords": {
"title": "Keywords",
"type": "string",
"description": "Job title or keywords to search for, e.g. \"software engineer\", \"product manager\", \"data analyst\"."
},
"location": {
"title": "Location",
"type": "string",
"description": "Location to search in, e.g. \"United States\", \"London, United Kingdom\", \"Remote\"."
},
"maxJobs": {
"title": "Max jobs",
"minimum": 1,
"type": "integer",
"description": "Maximum number of job postings to scrape.",
"default": 100
},
"datePosted": {
"title": "Date posted",
"enum": [
"any",
"24h",
"week",
"month"
],
"type": "string",
"description": "Filter by how recently the job was posted.",
"default": "any"
},
"jobType": {
"title": "Job type",
"enum": [
"any",
"full-time",
"part-time",
"contract",
"temporary",
"internship"
],
"type": "string",
"description": "Filter by employment type.",
"default": "any"
},
"remoteFilter": {
"title": "Workplace type",
"enum": [
"any",
"on-site",
"remote",
"hybrid"
],
"type": "string",
"description": "Filter by on-site, remote or hybrid.",
"default": "any"
},
"experienceLevel": {
"title": "Experience level",
"enum": [
"any",
"internship",
"entry-level",
"associate",
"mid-senior",
"director",
"executive"
],
"type": "string",
"description": "Filter by seniority.",
"default": "any"
},
"fetchDescription": {
"title": "Fetch full description & details",
"type": "boolean",
"description": "Open each job to also get the full description, seniority, employment type, job function, industries and applicant count. Slower but far richer.",
"default": true
},
"proxyConfiguration": {
"title": "Proxy",
"type": "object",
"description": "Proxy configuration. Residential proxy is strongly recommended — LinkedIn rate-limits datacenter IPs.",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```