# LinkedIn Jobs Scraper — No Login, Full Job Details (`umararshad2/linkedin-jobs-scraper`) Actor

Scrape public LinkedIn job postings without login or cookies. Search by keywords + location or paste LinkedIn job search URLs. Filters for date posted, job type, experience, remote/hybrid/on-site. Full descriptions, seniority, applicants, salary. $0.50/1k jobs.

- **URL**: https://apify.com/umararshad2/linkedin-jobs-scraper.md
- **Developed by:** [Umar Arshad](https://apify.com/umararshad2) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 job scrapeds

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/actors/running/actors-in-store.md#pay-per-event

## 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

## LinkedIn Jobs Scraper — No Login, Full Job Details

Scrape **public LinkedIn job postings** in minutes, with **no LinkedIn account, no cookies and no login**. Search by job title + location or paste your own LinkedIn job search URLs, apply filters (date posted, job type, experience level, remote / hybrid / on-site, Easy Apply, company), and get clean, deduplicated JSON, CSV or Excel with full job descriptions, seniority, employment type, industries, applicant counts, salary (when shown) and apply links.

> ⚠️ **Unofficial tool.** This Actor is not affiliated with, endorsed by or sponsored by LinkedIn Corporation. "LinkedIn" is a trademark of LinkedIn Corporation. It only reads job postings that LinkedIn shows publicly to logged-out visitors.

### ✨ Why this LinkedIn Jobs Scraper?

- 🔓 **No login, no cookies, no account risk** – uses LinkedIn's public (guest) job search pages only.
- 🎯 **All the filters you use on LinkedIn** – date posted (past hour / 24 h / week / month), job type, experience level, workplace type (remote, hybrid, on-site), Easy Apply, company IDs, geoId, distance, sort by most recent or most relevant.
- 🔗 **Paste LinkedIn search URLs** – set up a search on linkedin.com/jobs, copy the URL, done. We convert it automatically.
- 📄 **Full job details (optional)** – full description as text **and** HTML, seniority level, employment type, job function, industries, applicants count, apply URL.
- ♻️ **Deduplicated** – every job appears once per run, even across multiple keywords and URLs.
- 🛡️ **Reliable** – polite concurrency, automatic retries with session rotation, and automatic fallback from datacenter to residential proxy when LinkedIn rate-limits.
- 💸 **Pay only for jobs you get** – no charge for failed pages or duplicates.

### 🧑‍💼 Use cases

- **Job boards & aggregators** – feed fresh LinkedIn jobs into your site or app.
- **Recruiting & staffing** – find companies hiring for the roles you place.
- **Sales & lead generation** – spot companies that are growing a team (e.g. hiring "DevOps engineer" = needs cloud tooling).
- **Labour market research** – track demand, remote share, salaries and skills by city or country.
- **Job seekers & career tools** – daily alerts for new jobs (schedule the Actor with *Most recent* + *Past 24 hours*).
- **AI / LLM pipelines** – clean job descriptions for embeddings, RAG and classification.

### 🚀 How to use

1. Click **Try for free**.
2. Enter one or more **job titles / keywords** and a **location** (or paste LinkedIn job search URLs).
3. Pick filters and set **Max jobs**.
4. Click **Start** and download results as JSON, CSV, Excel or via API.

#### Input example — keywords + filters

```json
{
  "keywords": ["data analyst", "business analyst"],
  "location": "London",
  "datePosted": "pastWeek",
  "workplaceType": ["remote", "hybrid"],
  "experienceLevel": ["entryLevel", "associate"],
  "sortBy": "recent",
  "maxItems": 200,
  "includeJobDetails": true
}
```

#### Input example — LinkedIn search URL

```json
{
  "searchUrls": [
    "https://www.linkedin.com/jobs/search/?keywords=react%20developer&location=Germany&f_TPR=r604800&f_WT=2"
  ],
  "maxItems": 100
}
```

Supported URL types: `linkedin.com/jobs/search/?...` (any filters) and SEO pages like `linkedin.com/jobs/python-developer-jobs-berlin`.

### 📦 Output example

```json
{
  "jobId": "4419969671",
  "title": "Senior Software Engineer – Go (Golang)",
  "company": "General Motors",
  "companyUrl": "https://www.linkedin.com/company/general-motors",
  "companyLogo": "https://media.licdn.com/dms/image/v2/.../general_motors_logo",
  "location": "Warren, MI",
  "workplaceType": null,
  "postedAt": "2026-10-04",
  "postedTimeAgo": "17 hours ago",
  "listedAt": "2026-10-04T11:35:37.461Z",
  "jobUrl": "https://www.linkedin.com/jobs/view/4419969671/",
  "salary": null,
  "jobInsights": ["Actively Hiring"],
  "descriptionText": "Job Description\n\nAs a Senior Software Engineer – Go (Golang), you will design, develop...",
  "descriptionHtml": "<strong>Job Description<br><br></strong>As a Senior Software Engineer...",
  "seniorityLevel": "Not Applicable",
  "employmentType": "Full-time",
  "jobFunction": null,
  "industries": "Motor Vehicle Manufacturing, Appliances, Electrical, and Electronics Manufacturing, and IT Services and IT Consulting",
  "applicantsCount": "173 applicants",
  "applicantsNumber": 173,
  "applyUrl": "https://www.linkedin.com/jobs/view/4419969671/",
  "applyType": null,
  "searchKeyword": "software engineer",
  "searchLocation": "United States",
  "detailsStatus": "ok",
  "scrapedAt": "2026-10-05T04:40:12.000Z"
}
```

| Field | Description |
|---|---|
| `jobId`, `jobUrl` | LinkedIn job ID and public job link |
| `title`, `company`, `companyUrl`, `companyLogo` | Job and company basics |
| `location`, `workplaceType` | Location; Remote / Hybrid / On-site when known (always set when you filter by one workplace type) |
| `postedAt`, `postedTimeAgo`, `listedAt` | Posting date, relative text, approximate ISO timestamp |
| `salary`, `salaryMin`, `salaryMax`, `salaryCurrency`, `salaryPeriod` | Salary when LinkedIn shows it |
| `descriptionText`, `descriptionHtml` | Full description (details on) |
| `seniorityLevel`, `employmentType`, `jobFunction`, `industries` | Job criteria (details on) |
| `applicantsCount`, `applicantsNumber` | Applicants text and number (details on) |
| `applyUrl`, `applyType` | External apply URL when public, otherwise the LinkedIn job URL |
| `searchKeyword`, `searchLocation`, `searchUrl` | Which search found the job |

No personal data is collected: no recruiter / poster names, no profiles, no emails.

### 💰 Pricing

Pay-per-event — you pay only for jobs saved to your dataset, plus a tiny start fee. Apify platform usage is included.

| Event | What it covers | Price |
|---|---|---|
| `apify-actor-start` | One Actor start (first ~5 s of compute) | ~$0.00005 |
| `job-scraped` | One unique job card saved | **$0.0005** (= **$0.50 / 1,000 jobs**) |
| `job-details-scraped` | Full description + criteria (when enabled) | **$0.0003** (= **$0.30 / 1,000 details**) |

**Cost examples** (FREE Apify plan, no discounts):

| Run | Approx. charge |
|---|---|
| 100 jobs, cards only | ~$0.05 |
| 100 jobs with full details | ~$0.08 |
| 1,000 jobs with full details | ~$0.80 |
| 10,000 jobs with full details | ~$8.00 |

Cheaper than the market leaders (curious_coder $1–2 / 1k, bebity $1–1.50 / 1k) while still covering proxy cost. Higher Apify subscription plans get Store discounts automatically.

### ❓ FAQ

**Do I need a LinkedIn account or cookies?** No. The Actor only uses LinkedIn's public job search that anyone can see without logging in. Your LinkedIn account is never involved.

**How many jobs can I get?** LinkedIn's public search returns up to ~1,000 jobs per search. To get more, add several keywords, several search URLs, or split by city — results are deduplicated automatically.

**Why do some jobs have no salary?** LinkedIn shows salary only for some postings (mostly US). When it is shown on the card or job page, we return it.

**Why is `workplaceType` sometimes empty?** LinkedIn's public cards don't always say remote/hybrid. Filter by a single workplace type to have it filled for every job.

**Is scraping LinkedIn jobs legal?** This Actor collects publicly available job postings only, without logging in, and does not collect personal data. You are responsible for using the data in line with applicable laws and LinkedIn's terms. If in doubt, consult a lawyer.

**Can I schedule it?** Yes — use Apify Schedules (e.g. every morning with *Past 24 hours* + *Most recent*) and send results to Google Sheets, Slack, webhooks, Zapier or Make.

**Something broke?** Open an issue on the Issues tab — we usually respond within a day.

### Disclaimer

This is an unofficial scraper, not affiliated with or endorsed by LinkedIn. It accesses only publicly available job postings without authentication and does not extract personal profile data.

# Actor input Schema

## `keywords` (type: `array`):

One search per keyword (e.g. "software engineer", "data analyst"). Combined with the location below.

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

City, region or country as you would type it on LinkedIn (e.g. "United States", "London", "Remote"). Leave empty for worldwide.

## `searchUrls` (type: `array`):

Paste job search URLs from linkedin.com/jobs/search (with your filters applied). They are converted to LinkedIn's public guest search automatically. Filters in the URL take priority over the filters below.

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

Maximum number of unique jobs to save across all searches. Controls your cost.

## `maxItemsPerSearch` (type: `integer`):

Optional cap per keyword / URL. LinkedIn shows at most ~1,000 results per search; split by location or keyword for more. 0 = no extra cap.

## `includeJobDetails` (type: `boolean`):

Open every job posting to add the full description (text + HTML), seniority level, employment type, job function, industries, applicants count and apply link. Charged as an extra event per job.

## `datePosted` (type: `string`):

Only jobs posted within this period.

## `jobType` (type: `array`):

Employment type filter.

## `experienceLevel` (type: `array`):

Seniority filter.

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

On-site, remote or hybrid.

## `sortBy` (type: `string`):

Order of results. "Most recent" is best for monitoring new jobs.

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

Only jobs from these LinkedIn company IDs (numeric, the f_C value in a LinkedIn search URL).

## `easyApply` (type: `boolean`):

Only jobs with LinkedIn Easy Apply.

## `geoId` (type: `string`):

Exact LinkedIn location ID (e.g. 103644278 = United States). Overrides ambiguous location names.

## `distance` (type: `integer`):

Search radius around the location (e.g. 10, 25, 50).

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

Datacenter Apify Proxy is used by default with automatic fallback to residential when LinkedIn rate-limits.

## `residentialFallback` (type: `boolean`):

Retry blocked requests through Apify residential proxy.

## `maxConcurrency` (type: `integer`):

Parallel requests. Kept low on purpose to be polite.

## Actor input object example

```json
{
  "keywords": [
    "software engineer"
  ],
  "location": "United States",
  "maxItems": 50,
  "maxItemsPerSearch": 0,
  "includeJobDetails": true,
  "datePosted": "",
  "sortBy": "",
  "easyApply": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "residentialFallback": true,
  "maxConcurrency": 5
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `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": [
        "software engineer"
    ],
    "location": "United States",
    "maxItems": 50,
    "includeJobDetails": true,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("umararshad2/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 = {
    "keywords": ["software engineer"],
    "location": "United States",
    "maxItems": 50,
    "includeJobDetails": True,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("umararshad2/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 '{
  "keywords": [
    "software engineer"
  ],
  "location": "United States",
  "maxItems": 50,
  "includeJobDetails": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call umararshad2/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,umararshad2/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/q6MkD30ltnb4cZTcM/builds/Vvmgcf1BPQz95RJA9/openapi.json