# LinkedIn Jobs Scraper (`lentic_clockss/linkedin-jobs-scraper`) Actor
Scrape LinkedIn job listings at scale. Extract job titles, companies, salaries, descriptions, and more. No login required.
- **URL**: https://apify.com/lentic\_clockss/linkedin-jobs-scraper.md
- **Developed by:** [kane liu](https://apify.com/lentic_clockss) (community)
- **Categories:** Lead generation, Social media, Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 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.
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
## LinkedIn Jobs Scraper
Scrape LinkedIn job listings at scale — no login required. Extract job titles, companies, salaries, descriptions, seniority levels, and more from LinkedIn's public job search.
### Features
- **No login required** — uses LinkedIn's public Guest API
- **Full job details** — title, company, salary, description, seniority, industry
- **Anti-detection** — built-in browser fingerprint protection and proxy rotation
- **Flexible filters** — keyword, location, job type, experience level, remote/on-site
- **Structured output** — clean JSON with 16+ fields per job listing
### Output Fields
| Field | Description | Coverage |
|-------|-------------|----------|
| jobId | LinkedIn job posting ID | 100% |
| jobTitle | Job title | 100% |
| companyName | Hiring company name | 100% |
| companyUrl | Company LinkedIn URL | 100% |
| companyLogo | Company logo image URL | 95%+ |
| location | Job location | 100% |
| jobUrl | Direct link to job posting | 100% |
| postedAt | Posting date (ISO format) | 100% |
| jobDescription | Full description (HTML) | 100% |
| employmentType | Full-time, Part-time, Contract, etc. | 100% |
| experienceLevel | Entry, Mid-Senior, Director, etc. | 100% |
| jobFunction | Engineering, Marketing, Sales, etc. | 100% |
| industry | Software Development, Finance, etc. | 100% |
| salary | Salary range (if disclosed) | ~30% |
| isRemote | Whether the job is remote | Varies |
| scrapedAt | Scrape timestamp | 100% |
### Input Parameters
- **keyword** (required) — Search term (e.g., "python developer", "product manager")
- **location** — City or region (e.g., "New York", "London")
- **country** — Country filter (US, UK, CA, AU, DE, FR, IN, etc.)
- **jobType** — Full-time, Part-time, Contract, Internship
- **datePosted** — Past 24 hours, Past week, Past month
- **experienceLevel** — Entry, Associate, Mid-Senior, Director, Executive
- **remoteFilter** — Remote, On-site, Hybrid
- **maxResults** — Maximum jobs to collect (1-1000, default 50)
- **scrapeDetails** — Fetch full details per job (default: true)
### Example Output
```json
{
"jobId": "4392935757",
"jobTitle": "Software Engineer",
"companyName": "Uber",
"companyUrl": "https://www.linkedin.com/company/uber-com",
"companyLogo": "https://media.licdn.com/dms/image/...",
"location": "San Francisco, CA",
"jobUrl": "https://www.linkedin.com/jobs/view/software-engineer-at-uber-4392935757",
"postedAt": "2026-03-30",
"jobDescription": "About the Role...",
"employmentType": "FULL_TIME",
"experienceLevel": "Entry level",
"jobFunction": "Engineering and Information Technology",
"industry": "Internet Marketplace Platforms",
"salary": "USD 160000-250000 YEAR",
"isRemote": false,
"scrapedAt": "2026-04-01T15:58:32.543Z"
}
````
### Use Cases
- **Recruiters** — Monitor job market trends and competitor hiring
- **Job seekers** — Track new postings across multiple keywords
- **HR analytics** — Analyze salary ranges, seniority distribution, industry trends
- **Lead generation** — Find companies that are hiring in your target market
- **Market research** — Understand workforce demand by skill, location, and industry
### Performance
- \~10 jobs/page, ~7 seconds per search page
- \~8 seconds per detail page (with anti-detection)
- 50 jobs with full details: ~2 minutes
- 500 jobs with full details: ~15 minutes
### Proxy
This Actor uses its own residential proxy pool for reliable access. No additional proxy configuration needed.
# Actor input Schema
## `keyword` (type: `string`):
Job title or skill to search for (e.g. 'python developer', 'web scraping')
## `location` (type: `string`):
City, state, or country (e.g. 'New York', 'London')
## `country` (type: `string`):
Country code for filtering results
## `jobType` (type: `string`):
Filter by employment type
## `datePosted` (type: `string`):
Filter by posting date
## `experienceLevel` (type: `string`):
Filter by seniority
## `remoteFilter` (type: `string`):
Filter by workplace type
## `maxResults` (type: `integer`):
Maximum number of job listings to scrape
## `scrapeDetails` (type: `boolean`):
Visit each job's detail page for full description, salary, and seniority info. Slower but more complete data.
## Actor input object example
```json
{
"keyword": "python developer",
"country": "",
"jobType": "",
"datePosted": "",
"experienceLevel": "",
"remoteFilter": "",
"maxResults": 50,
"scrapeDetails": true
}
```
# Actor output Schema
## `jobListings` (type: `string`):
Dataset containing all scraped LinkedIn 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 = {
"keyword": "python developer"
};
// Run the Actor and wait for it to finish
const run = await client.actor("lentic_clockss/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 = { "keyword": "python developer" }
# Run the Actor and wait for it to finish
run = client.actor("lentic_clockss/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 '{
"keyword": "python developer"
}' |
apify call lentic_clockss/linkedin-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=lentic_clockss/linkedin-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "LinkedIn Jobs Scraper",
"description": "Scrape LinkedIn job listings at scale. Extract job titles, companies, salaries, descriptions, and more. No login required.",
"version": "0.1",
"x-build-id": "ZyASKKbsbvII38GSB"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/lentic_clockss~linkedin-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-lentic_clockss-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/lentic_clockss~linkedin-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-lentic_clockss-linkedin-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/lentic_clockss~linkedin-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-lentic_clockss-linkedin-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"keyword"
],
"properties": {
"keyword": {
"title": "Search keyword",
"type": "string",
"description": "Job title or skill to search for (e.g. 'python developer', 'web scraping')"
},
"location": {
"title": "Location",
"type": "string",
"description": "City, state, or country (e.g. 'New York', 'London')"
},
"country": {
"title": "Country",
"enum": [
"",
"us",
"gb",
"ca",
"au",
"de",
"fr",
"in",
"sg",
"ph",
"remote"
],
"type": "string",
"description": "Country code for filtering results",
"default": ""
},
"jobType": {
"title": "Job type",
"enum": [
"",
"F",
"P",
"C",
"T",
"I",
"V",
"O"
],
"type": "string",
"description": "Filter by employment type",
"default": ""
},
"datePosted": {
"title": "Date posted",
"enum": [
"",
"r86400",
"r604800",
"r2592000"
],
"type": "string",
"description": "Filter by posting date",
"default": ""
},
"experienceLevel": {
"title": "Experience level",
"enum": [
"",
"1",
"2",
"3",
"4",
"5",
"6"
],
"type": "string",
"description": "Filter by seniority",
"default": ""
},
"remoteFilter": {
"title": "Remote filter",
"enum": [
"",
"2",
"1",
"3"
],
"type": "string",
"description": "Filter by workplace type",
"default": ""
},
"maxResults": {
"title": "Max results",
"minimum": 1,
"maximum": 1000,
"type": "integer",
"description": "Maximum number of job listings to scrape",
"default": 50
},
"scrapeDetails": {
"title": "Scrape full details",
"type": "boolean",
"description": "Visit each job's detail page for full description, salary, and seniority info. Slower but more complete data.",
"default": true
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```