💼 LinkedIn Jobs API: Job Listings to Structured JSON

The most efficient, reliable, and developer-friendly way to use the LinkedIn Jobs API.

Actor page: apify.com/johnvc/linkedin-jobs-api Input schema: apify.com/johnvc/linkedin-jobs-api/input-schema

Search public LinkedIn job listings by keyword, location, seniority, and job type, or fetch specific job posting URLs, and get back one clean JSON row per job: title, company, location, salary, seniority, employment type, apply link, and more. It is built API-first and MCP-ready, so you can call it from Python or drive it as a tool from an AI agent.

Video Walkthrough

Quick Start

Prerequisites

Python 3.11 or higher
An Apify account and API key (get a free key here)

Clone the repository

git clone https://github.com/johnisanerd/Apify-LinkedIn-Jobs-API.git
cd Apify-LinkedIn-Jobs-API

Install dependencies with UV

# Install UV if you do not have it:
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install project dependencies:
uv sync

Configure your API key

cp .env.example .env
# Edit .env and add your Apify API key
# Get your free API key at: https://apify.com?fpr=9n7kx3

Run the example

uv run python linkedin-jobs-api-example.py

Alternative: set the API key directly

export APIFY_API_TOKEN="your_api_key_here"
uv run python linkedin-jobs-api-example.py

Why Use This LinkedIn Jobs API?

A search in, structured data out. You never touch collection infrastructure. Pass a keyword and location (or a list of job URLs) and get flat, predictable fields you can load straight into a sheet, a database, or an ATS.

Filter to exactly the roles you want. Narrow by seniority, job type, remote, company, and date posted, and cap each search with maxJobs so a broad query never overshoots your budget.

Pay per job. Billing is per job returned, with no per-run setup fee, so you only pay for what is delivered.

Reliable and predictable. Every job comes back with the same field shape, and an empty search returns a clear error row instead of failing the whole run.

MCP-ready. Call it as a tool from Claude, Cursor, and other AI agents (see the install sections below).

Features

Core Capabilities

Search public LinkedIn jobs by keyword, location, country, and company
Filter by seniority, employment type, remote, and date posted
Or fetch specific job postings directly by URL (up to 1000 per run)
Title, company, location, description, salary, and apply link on every row

Data Quality

One consistent JSON row per job, every time
A plain-language summary field on every row for quick scanning and AI use
A clear error row for an empty search, so one query never sinks the batch

Usage Examples

Basic Example

{
  "keyword": "python developer",
  "location": "New York",
  "maxJobs": 5
}

Filtered Example

{
  "keyword": "product manager",
  "location": "London",
  "experienceLevel": "mid-senior",
  "jobType": "full-time",
  "remote": true,
  "timeRange": "past-week",
  "maxJobs": 50
}

Fetch specific jobs by URL

{
  "jobUrls": [
    "https://www.linkedin.com/jobs/view/4286961888"
  ]
}

Input Parameters

Parameter	Type	Required	Default	Description
`keyword`	`str`	one of these	-	Job title or keyword to search for, e.g. "python developer".
`location`	`str`	one of these	-	Location to search within, e.g. "New York" or "United Kingdom".
`company`	`str`	one of these	-	Filter to a specific company name.
`jobUrls`	`list[str]`	one of these	-	Specific LinkedIn job posting URLs. Up to 1000 per run.
`country`	`str`	No	-	Two-letter country code to scope the search, e.g. "US", "GB".
`jobType`	`str`	No	-	full-time, part-time, contract, temporary, internship, volunteer.
`experienceLevel`	`str`	No	-	internship, entry, associate, mid-senior, director, executive.
`remote`	`bool`	No	`false`	Return only remote jobs.
`timeRange`	`str`	No	-	past-day, past-week, past-month.
`maxJobs`	`int`	No	`25`	Max jobs per search (max 500). Caps cost. Ignored for specific job URLs.

Supply a keyword, a location, a company, or at least one URL.

Output Format

Each job is returned as one JSON row:

{
  "result_type": "job",
  "jobId": "4286961888",
  "jobUrl": "https://www.linkedin.com/jobs/view/4286961888",
  "title": "Senior Python Developer",
  "companyName": "GlossGenius",
  "companyUrl": "https://www.linkedin.com/company/glossgenius",
  "location": "New York, NY",
  "seniorityLevel": "Mid-Senior level",
  "employmentType": "Full-time",
  "jobFunction": "Engineering and Information Technology",
  "salary": "$150,000 - $190,000",
  "postedDate": "2026-06-20",
  "numApplicants": 47,
  "applyUrl": "https://www.linkedin.com/jobs/view/4286961888/apply",
  "summary": "Senior Python Developer, at GlossGenius, New York, NY, Full-time, $150,000 - $190,000"
}

The salary field is returned when LinkedIn lists a pay range or base salary for the role.

FAQ

Will this put my LinkedIn or LinkedIn Recruiter account at risk?

No. It reads public LinkedIn pages only, the ones anyone can open while signed out. It never logs in and never asks for your cookies: there is no input for an account, a password or an li_at session cookie. Nothing it does is tied to your LinkedIn account, your LinkedIn Recruiter seat or your Sales Navigator license. The requests run on Apify's servers, not in your browser, so nothing connects them to you, and you can keep working in Recruiter while a run is going.

Install in Claude Cowork Desktop

Cowork is the desktop app's automation mode. To give it the LinkedIn Jobs API as a tool, add the Apify MCP server as a connector.

Open the Claude desktop app and go to Settings → Connectors (or Settings → Developer → Edit Config to edit claude_desktop_config.json directly).
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%\Claude\claude_desktop_config.json
Add the Apify MCP server, preloaded with only this Actor:

{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.apify.com/?tools=actors,docs,johnvc/linkedin-jobs-api"
      ]
    }
  }
}

Restart the app. When Cowork first calls the tool, complete the OAuth prompt in your browser, or add your Apify API token in the connector settings to skip OAuth.
In a Cowork chat, confirm the tool is available and ask it to run the LinkedIn Jobs API.

Download the desktop app and start a free trial: https://claude.ai/referral/uIlpa7nPLg More help: https://docs.apify.com/platform/integrations/claude-desktop

Install in Claude Code

Claude Code is the command-line tool. Add the Actor's MCP server with one command:

claude mcp add --transport http apify \
  "https://mcp.apify.com/?tools=actors,docs,johnvc/linkedin-jobs-api"

To use a token instead of browser OAuth:

claude mcp add --transport http apify \
  "https://mcp.apify.com/?tools=actors,docs,johnvc/linkedin-jobs-api" \
  --header "Authorization: Bearer YOUR_APIFY_TOKEN"

Then verify with claude mcp list, or run /mcp inside a session. Ask Claude Code to call the LinkedIn Jobs API.

Try Claude Code free: https://claude.ai/referral/uIlpa7nPLg Claude Code MCP docs: https://code.claude.com/docs/en/mcp

Install in Claude (website)

On claude.ai you add Apify as a connector, then enable just this Actor's tool.

Go to Settings → Connectors → Browse connectors and search for Apify MCP server. Install it (enable or update if prompted).
When connecting, authenticate with your Apify API token, and enable the tool johnvc/linkedin-jobs-api.
In any chat, open + → Connectors and turn on Apify.
Alternatively, choose Add custom connector and paste the full MCP URL https://mcp.apify.com/?tools=actors,docs,johnvc/linkedin-jobs-api, using OAuth when prompted.
Ask Claude to run the LinkedIn Jobs API.

Open Claude on the web: https://claude.ai/referral/uIlpa7nPLg

Install in Cursor

Cursor reads MCP servers from a project file at .cursor/mcp.json.

In your project, create .cursor/mcp.json:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=actors,docs,johnvc/linkedin-jobs-api"
    }
  }
}

If you prefer token auth over browser OAuth, add a header:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=actors,docs,johnvc/linkedin-jobs-api",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

Open Cursor → Settings → MCP and confirm the apify server is connected (green dot).
In Composer or Chat, ask Cursor to call the LinkedIn Jobs API.

New to Cursor? Get it here: https://cursor.com/referral?code=XQP4VBLI3NNX

Install in ChatGPT

ChatGPT connects to the Apify MCP server through Developer mode (available on ChatGPT Pro, Plus, Business, Enterprise, and Education plans).

Click your profile icon, then go to Settings > Apps. If you do not see a Create app button, open Advanced settings and enable Developer mode.
Click Create app and fill out the form:
- Name: Apify
- MCP Server URL: https://mcp.apify.com/?tools=actors,docs,johnvc/linkedin-jobs-api
- Authentication: OAuth
Click Create and authorize the connection with Apify.
To use the app in a conversation, click + in the chat, choose Developer mode, and select Apify.

More help: https://docs.apify.com/platform/integrations/mcp

Made with care

Use the LinkedIn Jobs API to power your recruiting, market research, and lead generation workflows with reliable, structured results.

🤖 Ask an AI assistant about this Actor

Open a ready-to-send prompt about the LinkedIn Jobs API in the AI of your choice:

💬 ChatGPT
🧠 Claude
🔍 Perplexity
🅒 Copilot

Last Updated: 2026.10.27

linkedin-jobs

Documentation