# LinkedIn Jobs Scraper & API - Job Type Filter, $1.80/1K (`h1018y/anvil-linkedin-jobs-api`) Actor

Scrapes LinkedIn Jobs without a login. Give it keywords and one or many locations with optional remote, level, job type and date filters, or LinkedIn job links; get each job's title, company, full description and applicant count as rows.

- **URL**: https://apify.com/h1018y/anvil-linkedin-jobs-api.md
- **Developed by:** [ANVIL Tools](https://apify.com/h1018y) (community)
- **Categories:** Lead generation, Business, Social media
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.92 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 - Job Type Filter

**LinkedIn Jobs Scraper** - LinkedIn jobs filtered by remote or hybrid, level and job type, searched across many locations, with applicant counts as numbers.

### What does LinkedIn Jobs Scraper do?

Remote/hybrid, experience-level and job-type filters, a list of locations in one run (to get past the 1000-job cap of one search), newest-first sorting and applicantsNumber as a real number - same input names as curious_coder/linkedin-jobs-scraper.

- Workplace type filter (onsite, remote, hybrid)
- Experience level and job type filters
- locations list: one run searches many places and passes the 1000-job limit of a single search
- sortBy recent lists the newest postings first; applicantsNumber is a real number
- onlyNew returns just jobs not seen last run; same input names as curious_coder/linkedin-jobs-scraper

### Who uses LinkedIn Jobs Scraper, and for what

- Recruiters - see new remote postings for a skill every morning
- Analysts - export a whole country's job market by listing many cities
- Developers - call it from code with filters and a numeric applicant count

### What this LinkedIn Jobs Scraper does that users of the usual tools ask for

- **Contract type filter that works** - in the `employmentType` field
- **The country you asked for, checkable on every row** - in the `locationCountry` field
- **Newest postings first by date** - in the `postedAt` field

#### Switching takes one minute

The input and result field names are the ones the most used LinkedIn Jobs Scraper has, so the input JSON your code already sends works unchanged and your pipeline reads the same fields - plus the new ones above.

### Why this LinkedIn Jobs Scraper?

Tools with their own field names force code rewrites, and expensive ones lose scheduled users. This LinkedIn Jobs Scraper checks every run and tells you plainly when a page could not be read, instead of returning empty or wrong rows.

### Data you get from LinkedIn Jobs Scraper

Every result is one flat row with these fields (values from a real run):

| Field | Example |
|---|---|
| `id` | 4476590411 |
| `trackingId` | 2j82ouINsW/IiO7BXvczKQ== |
| `refId` | KZhV1l5jfHWWibAROC3E1g== |
| `link` | https://uk.linkedin.com/jobs/view/data-analyst-at-searchabil... |
| `title` | Data Analyst |
| `companyName` | Searchability NS\&D |
| `companyLinkedinUrl` | https://uk.linkedin.com/company/searchability-ns-d |
| `companyLogo` | https://media.licdn.com/dms/image/v2/D4D0BAQEqyWQxZBHMhQ/com... |
| `location` | London Area, United Kingdom |
| `salaryInfo` | \[] |
| `postedAt` | 2026-10-07 |
| `benefits` | \["Actively Hiring"] |
| `descriptionHtml` | <p><strong>New Permanent Opportunity for a Security Cleared ... |
| `applicantsCount` | Over 200 applicants |
| `applyUrl` | null |
| `descriptionText` | New Permanent Opportunity for a Security Cleared Data Analys... |
| `seniorityLevel` | Mid-Senior level |
| `employmentType` | Full-time |
| `jobFunction` | null |
| `industries` | Data Infrastructure and Analytics and IT Services and IT Con... |
| `inputUrl` | search: data analyst London, United Kingdom |
| `changeType` | new |
| `applicantsNumber` | 200 |
| `postedAgo` | 3 weeks ago |
| `companyKey` | searchability-ns-d |

### How to use LinkedIn Jobs Scraper

1. Press **Start** - the form already holds an example that works.
2. Put in your own input (see the fields on the Input tab).
3. Run it once, or put it on an **Apify Schedule** (with **only new** on, where the form has it) to get just what is new every day; add a **webhookUrl** to get each run's rows sent to your own system, Zapier, Make or Slack.
4. Download the results as JSON, CSV or Excel, or send them to Google Sheets, Zapier, Make, the Apify API or an AI agent (Apify MCP server).

#### Input example

```json
{
  "urls": [],
  "keywords": "python developer",
  "location": "United States",
  "datePosted": "",
  "companyIds": [],
  "under10Applicants": false,
  "autoConvertToAiSearch": false,
  "scrapeCompany": true,
  "limitPerSource": 3,
  "splitByLocation": false,
  "splitCountry": "",
  "useApifyProxy": true,
  "proxyGroups": [],
  "onlyNew": false,
  "locations": [],
  "workplaceType": [],
  "jobType": [],
  "experienceLevel": [],
  "sortBy": "relevant"
}
```

#### Output example (a real run)

```json
[
  {
    "id": "4476590411",
    "trackingId": "2j82ouINsW/IiO7BXvczKQ==",
    "refId": "KZhV1l5jfHWWibAROC3E1g==",
    "link": "https://uk.linkedin.com/jobs/view/data-analyst-at-searchability-ns-d-4476590411",
    "title": "Data Analyst",
    "companyName": "Searchability NS&D",
    "companyLinkedinUrl": "https://uk.linkedin.com/company/searchability-ns-d",
    "companyLogo": "https://media.licdn.com/dms/image/v2/D4D0BAQEqyWQxZBHMhQ/company-logo_100_100/company-logo_100_100/0/1723020262823/searchability_ns_d_logo?e=2147483647&v=beta&t=pOPd9MYoJ1Jys9xYXar2D56OhJkX1gaActq2Jl65AMo",
    "location": "London Area, United Kingdom",
    "salaryInfo": [],
    "postedAt": "2026-10-07",
    "benefits": [
      "Actively Hiring"
    ],
    "descriptionHtml": "<p><strong>New Permanent Opportunity for a Security Cleared Data Analyst</strong></p><ul><li>Must have active SC Clearance</li><li>Mid to Senior levels available</li><li>Up to £60k DoE plus package</li><li>Hybrid working – bases in Bristol, London, Manchester or Swansea</li></ul><p><br></p><p><strong>Who are we?</strong></p><p>Our client is a leading technology consultancy delivering complex digital and data transformation programmes across the UK public sector.</p><p>Their teams work with clients to make better use of their data, delivering analytical solutions and insights that support better decision-making across a range of critical services.</p><p><br></p><p><strong>What will the Data Analyst be doing?</strong></p><p>You’ll be responsible for analysing data and turning complex datasets into clear, actionable insights, working closely with clients and technical teams to solve challenging business problems.</p><p>The role will involve data analysis, statistical techniques, data visualisation and communicating findings to both technical and non-technical stakeholders.</p><p><br></p><p><strong>Key responsibilities include:</strong></p><ul><li>Analysing and interpreting complex datasets to identify trends, relationships and actionable insights</li><li>Applying statistical techniques including hypothesis testing, regression and clustering</li><li>Carrying out data mining, profiling and exploratory analysis across varied datasets</li><li>Cleaning, standardising and transforming data to improve its quality and usability</li><li>Performing data linkage and integrating information from multiple sources</li><li>Developing data models and selecting appropriate analytical approaches to answer business questions</li><l
```

One flat row per result.

### Built for pipelines

- **Field names never change** - fixes and new features only ever add fields, so your code keeps working.
- **Every row has the same shape** - a missing value is `null`, never a dropped field.
- **A plain status line** on every run - how many results, and on a problem what to change in the input - for your logs and for AI agents.
- **Runs on its own** - put it on an Apify Schedule and add a `webhookUrl`: each run's rows go straight to your system, Zapier, Make or Slack.

### How much does LinkedIn Jobs Scraper cost?

You pay only per result (pay per event) - no monthly fee, no minimum, and the price per result is lower on Apify's Bronze, Silver and Gold plans. The exact price is on the **Pricing** tab. Apify's free plan credit is enough to try it on real input.

| You want | What you pay for |
|---|---|
| A quick test with the example | a few results |
| A daily scheduled run | only the rows that run returns |
| A big one-off export | the results delivered - set a maximum in the input |

### Also searched as

- linkedin job api
- linkedin jobs monitor
- linkedin job search scraper
- scrape linkedin jobs
- linkedin jobs export

### FAQ

**Does LinkedIn Jobs Scraper need a login, cookies or an API key?** No. It reads public pages only.

**Can I run LinkedIn Jobs Scraper on a schedule?** Yes - with Apify Schedules; each run returns fresh rows.

**Can I call it from Python, JavaScript or an AI agent?** Yes - through the Apify API, the Apify client libraries or the Apify MCP server.

**Is it legal?** It collects only data anyone can see without logging in. You are responsible for using it within the source site's terms and data protection law (GDPR, CCPA).

**What if the site blocks a request?** The run retries from a fresh connection and, if it still cannot read the page, stops with a clear message - never with made-up rows.

**Do I need proxies?** No setup needed - LinkedIn Jobs Scraper uses Apify Proxy by default where the site needs it.

### Troubleshooting

- **No results:** check the input (a public URL or a search term that returns results in a normal browser), then try the example input once.
- **Fewer results than expected:** raise the maximum in the input; some sites show only a part of their data without logging in, and LinkedIn Jobs Scraper never logs in.
- **The run stopped with a message:** the message says what the site answered; run it again later or with fewer items.

### Your feedback

Missing a field, found a bug, or need another site? Open an issue on the **Issues** tab - issues are answered and fixed. If LinkedIn Jobs Scraper saved you time, a short review on this page helps others find it.

Data source: [www.linkedin.com/jobs](https://www.linkedin.com/jobs)

### More tools from this developer

- [Tweet Scraper: Tweet Details by URL, No Login or Cookies](https://apify.com/h1018y/anvil-tweet-scraper)
- [YouTube Thumbnail Downloader: Bulk, Every Size & Titles](https://apify.com/h1018y/anvil-youtube-thumbnail-downloader)
- [ML Conference Finder: NeurIPS, ICLR & ICML Alternatives](https://apify.com/h1018y/anvil-ml-conference-finder)
- [YouTube Transcript Scraper: Find Every Moment a Word Is Said](https://apify.com/h1018y/anvil-youtube-transcript-scraper)
- [Facebook Ads Library Scraper: Only New Ads & Days Running](https://apify.com/h1018y/anvil-facebook-ads-library-scraper)
- [Reddit Scraper: Keyword Alerts for New Posts & Comments](https://apify.com/h1018y/anvil-reddit-scraper)
- [Twitter Scraper: New Tweets From Any X Account, No Login](https://apify.com/h1018y/anvil-twitter-scraper)
- [Facebook Page Monitor: New Posts & Engagement Growth](https://apify.com/h1018y/anvil-facebook-posts-scraper)

# Actor input Schema

## `urls` (type: `array`):

LinkedIn job search or single job links, one per line, for example https://www.linkedin.com/jobs/search/?keywords=python\&location=Texas.

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

Job title or skill to search for, for example python developer. Use together with a location.

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

City, region or country to search in, for example Austin, Texas or United States.

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

Optional numeric LinkedIn place ID that replaces the location text, for example 103644278 for United States.

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

Search radius around the location in miles, for example 25.

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

Only jobs posted in this window: past 24 hours, past week or past month. Leave empty for any time.

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

Optional LinkedIn company IDs to limit the search to, for example 1441.

## `under10Applicants` (type: `boolean`):

Turn on to return only jobs that have fewer than 10 applicants so far.

## `autoConvertToAiSearch` (type: `boolean`):

Kept for compatibility: the keywords are always searched as plain words.

## `scrapeCompany` (type: `boolean`):

Turn on to add each company's description, address, employee count, slogan and website from its public LinkedIn page (one extra page per company).

## `limitPerSource` (type: `integer`):

Largest number of jobs to return for each link and for the keyword search, for example 25.

## `splitByLocation` (type: `boolean`):

Kept for compatibility: search each location you list separately in different runs.

## `splitCountry` (type: `string`):

Kept for compatibility: not used by this actor.

## `useApifyProxy` (type: `boolean`):

Send requests through the Apify proxy; the site usually refuses plain data center traffic.

## `proxyGroups` (type: `array`):

Optional Apify proxy groups to use, for example RESIDENTIAL. Leave empty for the default.

## `onlyNew` (type: `boolean`):

Turn on to return only results not seen in the previous run with the same input; good for a schedule.

## `locations` (type: `array`):

Extra places to search with the same keywords, one per line, for example Berlin or Texas. Each place is read on its own, so one search can pass 1000 jobs.

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

Keep only these kinds of workplace: onsite, remote, hybrid. For example remote.

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

Keep only these job types: fulltime, parttime, contract, temporary, internship, volunteer, other. For example fulltime.

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

Keep only these levels: internship, entry, associate, midsenior, director, executive. For example entry.

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

Use recent to list the newest postings first, or relevant (default) for LinkedIn's own order.

## `webhookUrl` (type: `string`):

Optional. An https address - your own system, Zapier, Make or a Slack incoming webhook - that gets each run's results as JSON (with 'only new' on: just the new ones). Example: https://hooks.slack.com/services/T000/B000/XXXX

## Actor input object example

```json
{
  "urls": [],
  "keywords": "python developer",
  "location": "United States",
  "datePosted": "",
  "companyIds": [],
  "under10Applicants": false,
  "autoConvertToAiSearch": false,
  "scrapeCompany": true,
  "limitPerSource": 3,
  "splitByLocation": false,
  "splitCountry": "",
  "useApifyProxy": true,
  "proxyGroups": [],
  "onlyNew": false,
  "locations": [],
  "workplaceType": [],
  "jobType": [],
  "experienceLevel": [],
  "sortBy": "relevant"
}
```

# Actor output Schema

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

All result rows (open as table, JSON, CSV or Excel).

# 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": "United States",
    "scrapeCompany": true,
    "limitPerSource": 3,
    "useApifyProxy": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("h1018y/anvil-linkedin-jobs-api").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": "United States",
    "scrapeCompany": True,
    "limitPerSource": 3,
    "useApifyProxy": True,
}

# Run the Actor and wait for it to finish
run = client.actor("h1018y/anvil-linkedin-jobs-api").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": "United States",
  "scrapeCompany": true,
  "limitPerSource": 3,
  "useApifyProxy": true
}' |
apify call h1018y/anvil-linkedin-jobs-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,h1018y/anvil-linkedin-jobs-api"
        }
    }
}
```

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/I5wKtCdW6R1FUtuJ3/builds/tv8aGOYX1iycBMiyd/openapi.json