# LinkedIn Jobs Scraper (No Login) (`generous_fog/linkedin-jobs-scraper-no-login`) Actor

Scrape LinkedIn job postings by title, location, company and filters — no login or cookies needed. Enriches jobs with description, seniority, employment type and more. Unofficial, not affiliated with LinkedIn.

- **URL**: https://apify.com/generous\_fog/linkedin-jobs-scraper-no-login.md
- **Developed by:** [Sujeet Kar](https://apify.com/generous_fog) (community)
- **Categories:** Lead generation, Jobs, Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.75 / 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.

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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 (No Login)

> **Unofficial.** This is an independent, unofficial actor and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. "LinkedIn" is a trademark of LinkedIn Corporation.

Scrape LinkedIn job postings by job title, location, company and filters — no login, cookies or LinkedIn account required.

Built on LinkedIn's public **guest endpoints**, so it never touches your LinkedIn account and cannot get it banned.

### How it works

1. **Search** — queries LinkedIn's public guest search endpoint and parses job cards (title, company, location, posted date, URL).
2. **Enrich** (optional) — opens each job's public detail page to get the full description, seniority level, employment type, job function, industries and applicant count.
3. **Post-filter** — applies workplace type, employment type and experience-level filters using the enriched data.
4. **Output** — pushes clean JSON to the default dataset (exportable as CSV, JSON, Excel, etc.).

### Input fields

| Field | Type | Description |
|---|---|---|
| `keywords` | string | Job title / search keywords, e.g. `Python Developer` |
| `location` | string | e.g. `India`, `Bengaluru`, `United States` |
| `companyIds` | string\[] | LinkedIn numeric company IDs (e.g. `1035` = Microsoft) |
| `publishedAt` | select | `Any Time`, `Past 24 Hours`, `Past Week`, `Past Month` |
| `maxRows` | number | Max jobs to return (default 50) |
| `easyApplyOnly` | boolean | Only Easy Apply jobs |
| `workplaceType` | select | `On-site`, `Remote`, `Hybrid` (approximate) |
| `jobType` | select | `Full-time`, `Part-time`, `Contract`, `Temporary`, `Internship`, etc. |
| `experienceLevel` | select | `Internship`, `Entry level`, `Associate`, `Mid-Senior level`, `Director`, `Executive` |
| `enrichDetails` | boolean | Fetch full detail per job (default true) |
| `requestDelayMs` | number | Delay between requests (default 300) |
| `proxyConfiguration` | proxy | Optional Apify proxy (residential recommended at scale) |

### Output fields (per job)

```json
{
  "jobId": "4445011521",
  "title": "Sr. Python Developer",
  "companyName": "UST",
  "companyLogo": "https://media.licdn.com/dms/image/...",
  "location": "Bengaluru, Karnataka, India",
  "postedAt": "2026-07-30",
  "postedTimeAgo": "2 weeks ago",
  "jobUrl": "https://www.linkedin.com/jobs/view/4445011521",
  "description": "...",
  "seniorityLevel": "Not Applicable",
  "employmentType": "Full-time",
  "jobFunction": "Engineering and Information Technology",
  "industries": "IT Services and IT Consulting",
  "applicantCount": "150 applicants",
  "applyUrl": "https://www.linkedin.com/jobs/view/4445011521/apply",
  "workplaceType": "On-site"
}
```

### Notes & limitations

- **Guest endpoints return ~10 results per page.** Pagination is automatic.
- **Company ID (not name)** is used for the company filter. Get the numeric ID from a company's LinkedIn page URL (`linkedin.com/company/{slug}` page → the numeric id in its page source or via the search URL `f_C=`).
- **Workplace type is approximate** — LinkedIn's guest endpoint does not expose it, so it is inferred from the title/location text (`Remote` / `Hybrid` keywords).
- **Salary** only appears when a posting shows it (pay-transparency laws); otherwise it is absent.
- **Rate limits**: a single IP is usually throttled after ~10 pages. Use residential proxies and increase `requestDelayMs` for larger runs.
- This accesses public pages under LinkedIn's Terms of Service, which prohibit automated access. Job postings are lower-risk than profiles, but use responsibly and comply with applicable law (GDPR/CCPA for personal data).

### Deploy

```bash
## via Apify CLI
apify login
apify push
```

Or import the source into a new Code actor in Apify Console.

### Pricing (for Store publishing)

Recommended: **pay-per-event** model — charge a fixed price per 1,000 results (e.g. $1/1k) rather than a monthly subscription. This undercuts the $29.99/month actors and matches how the top community job scrapers are priced.

# Actor input Schema

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

Search keywords, e.g. 'Python Developer', 'Data Analyst'. Leave empty to get all jobs for a location.

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

Location, e.g. 'India', 'Bengaluru', 'United States', 'Remote'.

## `companyIds` (type: `array`):

LinkedIn numeric company IDs to filter jobs. e.g. 1035 = Microsoft, 1815218 = Amazon. Find a company ID from its LinkedIn company page URL.

## `publishedAt` (type: `string`):

Filter jobs by posting date.

## `maxRows` (type: `integer`):

Maximum number of jobs to return.

## `easyApplyOnly` (type: `boolean`):

Only return jobs with LinkedIn Easy Apply.

## `workplaceType` (type: `string`):

Filter by workplace type. Note: detected from job title/location text, so it is approximate.

## `jobType` (type: `string`):

Filter by employment type (read from each job's detail page).

## `experienceLevel` (type: `string`):

Filter by seniority level (read from each job's detail page).

## `enrichDetails` (type: `boolean`):

Fetch full description, seniority level, employment type, job function and industries for each job. Slower but much richer output.

## `requestDelayMs` (type: `integer`):

Polite delay between requests to avoid rate limits. Increase if you get blocked.

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

Use residential proxies to avoid rate limits and blocking at scale.

## Actor input object example

```json
{
  "keywords": "Python Developer",
  "location": "India",
  "companyIds": [],
  "publishedAt": "Any Time",
  "maxRows": 50,
  "easyApplyOnly": false,
  "enrichDetails": true,
  "requestDelayMs": 300,
  "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 = {
    "keywords": "Python Developer",
    "location": "India",
    "companyIds": [],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("generous_fog/linkedin-jobs-scraper-no-login").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": "Python Developer",
    "location": "India",
    "companyIds": [],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("generous_fog/linkedin-jobs-scraper-no-login").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 '{
  "keywords": "Python Developer",
  "location": "India",
  "companyIds": [],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call generous_fog/linkedin-jobs-scraper-no-login --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,generous_fog/linkedin-jobs-scraper-no-login"
        }
    }
}

```

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/x06Y4edGg2wbiXxWT/builds/hhgzccrYws3sFn2gX/openapi.json