# LinkedIn Jobs Scraper – No Login (`datascraperes/linkedin-jobs-scraper`) Actor

Scrape public LinkedIn jobs by keyword and location. Filter by date, job type, experience, workplace, Easy Apply, or under 10 applicants. Extract company, salary, applicant count, seniority, employment type, description, and job URL when available.

- **URL**: https://apify.com/datascraperes/linkedin-jobs-scraper.md
- **Developed by:** [DataScraperES](https://apify.com/datascraperes) (community)
- **Categories:** Jobs, Automation, Lead generation
- **Features:** Limited permissions
- **Stats:** 8 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 scraped jobs

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

Search public LinkedIn job listings by keyword and location without providing a LinkedIn account. Apply job-market filters and receive one structured Dataset item per unique job, with optional full descriptions and job criteria.

### What this Actor does

The Actor searches public LinkedIn Jobs pages, deduplicates listings by job ID across searches, and can open each public job page to add description, applicants text, seniority, employment type, function, and industries. Every saved row identifies the search that discovered it and whether optional detail collection succeeded.

### Use cases

- Build or refresh job boards and recruiting feeds.
- Track hiring demand by role, location, seniority, and workplace type.
- Monitor competitor hiring and newly posted opportunities.

### How to use

1. Open the Actor in Apify Console.
2. Enter at least one keyword and a location.
3. Choose filters and a per-keyword result limit.
4. Click **Start** and open the Dataset when the run finishes.

### Input

`keywords` accepts 1–50 terms; duplicate terms are removed; blank terms are rejected. `location` is required, while `geoId` can provide an exact numeric LinkedIn geography. `maxItemsPerQuery` defaults to 25 and accepts 1–1,000. Optional filters are `datePosted`, `jobTypes`, `experienceLevels`, `workplaceTypes`, `easyApplyOnly`, and `under10ApplicantsOnly`. `includeJobDetails` defaults to `true`.

This exact input produced the complete output below:

```json
{
  "keywords": [
    "software engineer"
  ],
  "location": "Spain",
  "maxItemsPerQuery": 2,
  "includeJobDetails": true,
  "geoId": "105646813",
  "datePosted": "any",
  "jobTypes": [],
  "experienceLevels": [],
  "workplaceTypes": [],
  "easyApplyOnly": false,
  "under10ApplicantsOnly": false
}
```

### Output

Each Dataset row is one unique job. `status: "success"` means card and requested detail data were collected; `status: "partial"` means a valid job card was saved but optional details were unavailable. `detailStatus`, `detailHttpStatus`, and `detailAttempts` make that distinction explicit. The `SUMMARY` Key-value-store record reports totals, failed searches, duplicates, whether a charge limit stopped the run, and a `complete` flag. A run with failed searches or unavailable requested details retains saved jobs and ends with a partial outcome. Use `complete` to distinguish full collection from partial results.

While a run is active, the Apify log shows safe real-time milestones for startup, each search page, collected jobs, and completion.

This is the complete first Dataset item from a real successful run:

```json
{
  "success": true,
  "status": "success",
  "searchKeyword": "software engineer",
  "searchLocation": "Spain",
  "jobId": "4464461762",
  "jobUrl": "https://www.linkedin.com/jobs/view/4464461762",
  "title": "Software Engineer C# .Net - Fintech",
  "companyName": "Client Server",
  "companyUrl": "https://uk.linkedin.com/company/client-server",
  "companyLogoUrl": "https://media.licdn.com/dms/image/v2/C560BAQE_8pRTMzWPZA/company-logo_100_100/company-logo_100_100/0/1630582373092/client_server_logo",
  "location": "Madrid, Community of Madrid, Spain",
  "postedDate": "2026-09-08",
  "postedText": "3 weeks ago",
  "salary": null,
  "applicantsText": "Be among the first 25 applicants",
  "descriptionText": "Software Engineer / Developer Madrid onsite to €120,000 Are you a back end focused Software Engineer with a strong academic background, looking to take the next step in your career? This is an opportunity to work on complex, high-impact systems at a growing FinTech scale-up with solid financial backing, a major Hedge Fund partnership, and ambitious plans for expansion. What's in it for you: As a Software Engineer / Developer you will earn a competitive package: Salary to €120,000 Bonus 25 days holiday Healthcare Generous pension contribution Continuous career development opportunities Social team atmosphere with a range of events Your role: As a Senior Software Engineer you will collaborate with a small, talented team to deliver the core platform within a Microsoft environment using the latest versions of C# .Net to produce high quality code. You'll take ownership of technical projects, working across the full development lifecycle to understand business needs. The company has ambitious growth plans, this is a great opportunity to be involved from the ground up and progress your career. Location: You'll be based in Madrid on a fulltime basis (Monday to Friday). About you: You have studied at a top 10 university in Spain (or top 200 globally) and have achieved 9.0 and above in Bachillerato and 7.0 and above in University - Computer Science or Mathematics preferred You're a technologist who enjoys collaborating and problem solving, working on complex, distributed systems You have expertise with modern C# .Net (will also consider other OO languages e.g. Java, C++, Python but you must be happy to use C# going forward) You have a strong knowledge of modern software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence You have fluent English language skills Apply now to find out more about this Software Engineer / Developer (C# .Net) opportunity.",
  "seniorityLevel": "Mid-Senior level",
  "employmentType": "Full-time",
  "jobFunction": null,
  "industries": "Software Development, Financial Services, and IT Services and IT Consulting",
  "criteria": {
    "seniorityLevel": "Mid-Senior level",
    "employmentType": "Full-time",
    "industries": "Software Development, Financial Services, and IT Services and IT Consulting"
  },
  "detailStatus": "success",
  "detailHttpStatus": 200,
  "detailAttempts": 1,
  "scrapedAt": "2026-10-02T15:22:13.367628Z"
}
```

Results can be exported as JSON, JSONL, CSV, Excel, XML, or RSS.

### Pricing

Each unique job written to the default Dataset triggers one `apify-default-dataset-item` event. The active price is $0.001 per delivered job, equivalent to $1.00 per 1,000 jobs. This rate became effective on September 3, 2026 at 07:05 UTC. Check the Actor's **Pricing** tab for the effective rate before starting a run.

| Pricing period | Price per job | Equivalent per 1,000 jobs |
|---|---:|---:|
| Active since September 3, 2026 at 07:05 UTC | $0.001 | $1.00 |
| Historical rate before September 3, 2026 | $0.0006 | $0.60 |

There is no Actor start fee. Duplicate jobs, retries, failed searches, and searches producing no Dataset rows are not charged. A valid partial job row is chargeable because it is still a delivered job result. You can set a maximum total charge in Apify before starting a run.

### Related Actors

| Actor | Best for |
|---|---|
| [Indeed Jobs Scraper | Worldwide Job Data](https://apify.com/datascraperes/indeed-jobs-scraper) | Comparing worldwide openings and filters on Indeed. |
| [Glassdoor Jobs Scraper | Global Job Listings](https://apify.com/datascraperes/glassdoor-jobs-scraper) | Adding Glassdoor listings, descriptions, salary data, and application links. |
| [LinkedIn Company Profile Scraper - No Login](https://apify.com/datascraperes/linkedin-company) | Enriching employers found in LinkedIn job results. |

### Limits and data quality

The Actor returns at most 1,000 jobs per keyword, but available counts depend on LinkedIn's public results and the selected filters. Details are best effort; keep `includeJobDetails` enabled when descriptions and criteria matter, and inspect `detailStatus`. If a search or detail request remains unavailable after retries, the Actor retains confirmed results and stops with an explicit partial outcome. Check `SUMMARY.complete`, `failedQueries`, and each row's `detailStatus`; a run that finishes without an execution error may still have incomplete results. Job availability, applicant text, salary, and relative posting labels can change after collection. Duplicate job IDs across keywords are returned only once.

### Frequently asked questions

#### Can I collect search cards without opening every job?

Yes. Set `includeJobDetails` to `false`; detail-only fields will be unavailable and `detailStatus` will show that details were not requested.

#### Why did I receive fewer jobs than the requested limit?

The limit is a maximum, not a guarantee. Public availability, filters, deduplication, and temporary search failures can reduce the number returned.

### Responsible use

Use only publicly available job information and comply with LinkedIn's terms, applicable laws, privacy requirements, and the rights of employers and applicants. This independent Actor is not affiliated with or endorsed by LinkedIn.

### Support

Open an issue in the Actor's **Issues** tab with the run ID, exact search input, and the affected job URL or status.

# Changelog

This Actor's version history is a separate document: https://apify.com/datascraperes/linkedin-jobs-scraper/changelog.md

# Actor input Schema

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

One job search per item, for example Software Engineer or SEO Specialist. Blank values and duplicate terms are removed.

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

Location text accepted by LinkedIn Jobs, for example Spain, Madrid, New York, or Worldwide.

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

Optional numeric LinkedIn geographic ID for an exact location. Leave empty to use the location text only.

## `maxItemsPerQuery` (type: `integer`):

Maximum number of job cards collected for each keyword. Duplicate job IDs across searches are output only once.

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

Restrict results by publication age.

## `jobTypes` (type: `array`):

Optional employment-type filters. Leave empty to include all types.

## `experienceLevels` (type: `array`):

Optional seniority filters. Leave empty to include all levels.

## `workplaceTypes` (type: `array`):

Optional workplace filters. Leave empty to include all workplace types.

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

Return only postings marked with LinkedIn Easy Apply.

## `under10ApplicantsOnly` (type: `boolean`):

Return only postings shown by LinkedIn as having fewer than 10 applicants.

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

Fetch each public detail page to add the description, applicant text, seniority, employment type, function, and industries. Disable for a faster card-only run.

## Actor input object example

```json
{
  "keywords": [
    "software engineer"
  ],
  "location": "Spain",
  "geoId": "100994331",
  "maxItemsPerQuery": 25,
  "datePosted": "any",
  "jobTypes": [],
  "experienceLevels": [],
  "workplaceTypes": [],
  "easyApplyOnly": false,
  "under10ApplicantsOnly": false,
  "includeJobDetails": true
}
```

# Actor output Schema

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

No description

## `summary` (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": "Spain",
    "geoId": "100994331",
    "maxItemsPerQuery": 25,
    "datePosted": "any",
    "jobTypes": [],
    "experienceLevels": [],
    "workplaceTypes": [],
    "easyApplyOnly": false,
    "under10ApplicantsOnly": false,
    "includeJobDetails": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("datascraperes/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": "Spain",
    "geoId": "100994331",
    "maxItemsPerQuery": 25,
    "datePosted": "any",
    "jobTypes": [],
    "experienceLevels": [],
    "workplaceTypes": [],
    "easyApplyOnly": False,
    "under10ApplicantsOnly": False,
    "includeJobDetails": True,
}

# Run the Actor and wait for it to finish
run = client.actor("datascraperes/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": "Spain",
  "geoId": "100994331",
  "maxItemsPerQuery": 25,
  "datePosted": "any",
  "jobTypes": [],
  "experienceLevels": [],
  "workplaceTypes": [],
  "easyApplyOnly": false,
  "under10ApplicantsOnly": false,
  "includeJobDetails": true
}' |
apify call datascraperes/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datascraperes/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/gLmuWHa1j91T2cH0H/builds/8ZaHBHZYEQoYS7kiZ/openapi.json