# Fast LinkedIn Jobs Scraper (No Cookies, No Login) (`rbbscrap/fast-linkedin-jobs-scraper`) Actor

Extract thousands of LinkedIn job postings anonymously without cookies or login. Includes job titles, companies, locations, dates, applicants, and full job descriptions.

- **URL**: https://apify.com/rbbscrap/fast-linkedin-jobs-scraper.md
- **Developed by:** [Hector](https://apify.com/rbbscrap) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 5 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Fast LinkedIn Jobs Scraper (No Cookies, No Login) A high-performance LinkedIn Jobs scraper that works **without cookies and without login**. It directly queries LinkedIn's public Guest API to extract thousands of jobs with complete details, including company logos and full job descriptions. ## Features

- **Company Logos & Media**: Automatically extracts company logos and direct job links.
- **Zero Cookies / Zero Account**: 100% anonymous, no account ban risk.
- **Full Job Details**: Scrapes titles, company names, direct links, locations, posting dates, and full text descriptions.
- **Advanced Filters**: Filter by date posted (*Past 24h*, *Past week*, *Past month*), workplace type (*On-site*, *Remote*, *Hybrid*).
- **Pagination & Bulk Scraping**: Automatically paginates through hundreds of results per query.
- **Apify Proxy Integrated**: Compatible with Apify Datacenter & Residential Proxies. ## Input Example

````json
{ "queries": ["Software Engineer", "Data Analyst"], "location": "France", "maxItems": 50, "postedDate": "pastWeek", "scrapeFullDescription": true
}
``` ## Output Sample
```json
{ "jobId": "4444969249", "title": "Senior Frontend Developer", "company": "TechCorp Solutions", "companyLogo": "https://media.licdn.com/dms/image/v2/.../company-logo_200_200.jpg", "location": "Paris, Île-de-France, France", "url": "https://www.linkedin.com/jobs/view/4444969249", "postedDate": "2026-10-12", "seniorityLevel": "Mid-Senior level", "employmentType": "Full-time", "jobFunction": "Engineering", "industries": "Software Development", "applicantsCount": "18 applicants", "description": "We are seeking a talented Senior Frontend Developer..."
}
````

# Actor input Schema

## `queries` (type: `array`):

Job titles or keywords to search for (e.g. 'Software Engineer', 'Data Scientist', 'Product Manager').

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

City, country, or region (e.g. 'France', 'Paris', 'United States', 'Remote').

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

Maximum number of job postings to retrieve in total.

## `postedDate` (type: `string`):

Filter postings by publication date.

## `workplaceType` (type: `array`):

Filter by workplace arrangement.

## `scrapeFullDescription` (type: `boolean`):

Fetch the full text description, responsibilities, and requirements for each job.

## `proxyConfiguration` (type: `object`):

Use Apify Proxy to prevent LinkedIn rate limits during high-volume scraping.

## Actor input object example

```json
{
  "queries": [
    "Software Engineer"
  ],
  "location": "France",
  "maxItems": 50,
  "postedDate": "anyTime",
  "workplaceType": [
    "1",
    "2",
    "3"
  ],
  "scrapeFullDescription": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

No description

# 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 = {
    "queries": [
        "Software Engineer"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("rbbscrap/fast-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 = { "queries": ["Software Engineer"] }

# Run the Actor and wait for it to finish
run = client.actor("rbbscrap/fast-linkedin-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "queries": [
    "Software Engineer"
  ]
}' |
apify call rbbscrap/fast-linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rbbscrap/fast-linkedin-jobs-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ZEtGCnLzAE8vOKKct/builds/Xese3j0Avslu9cbGm/openapi.json