# LinkedIn Jobs Scraper: Only New Jobs Since Your Last Run (`h1018y/anvil-linkedin-p66497-reliable`) Actor

Scrapes LinkedIn jobs from public search pages with no login. Filter by keywords, location, date, work type and job type, get the full description, and switch on only new jobs so a daily run returns just the fresh listings.

- **URL**: https://apify.com/h1018y/anvil-linkedin-p66497-reliable.md
- **Developed by:** [ANVIL Tools](https://apify.com/h1018y) (community)
- **Categories:** Lead generation, Business, Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.35 / 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: Only New Jobs Since Your Last Run

**LinkedIn Jobs Scraper** - Search public LinkedIn jobs and get only the listings you have not seen before, with the full description.

### What does LinkedIn Jobs Scraper do?

Every row carries an isNew flag and an Only new jobs switch remembers what earlier runs with the same input already returned, so a daily schedule hands you just the fresh postings.

- Keywords, location, date posted, work type and job type filters, or paste a LinkedIn jobs search URL
- isNew flag and an only-new-jobs switch for scheduled daily runs
- Full job description, seniority level, employment type, industries and applicant count
- Company link, posted date and salary when LinkedIn shows it
- No login, no cookies

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

- Recruiters - get this morning new postings for a role
- Job seekers - a daily sheet of only the new listings
- Analysts - track hiring for a skill over weeks
- Sales - spot companies hiring for a role you sell into

### Why this LinkedIn Jobs Scraper?

Low cases fail because LinkedIn sometimes serves empty or blocked pages to datacenter addresses. 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 |
|---|---|
| `jobId` | 4465604021 |
| `title` | Senior Software Engineer - Python |
| `company` | Venmo |
| `companyUrl` | https://www.linkedin.com/company/venmo |
| `location` | San Jose, CA |
| `postedDate` | 2026-10-22 |
| `salary` | null |
| `benefits` | null |
| `jobUrl` | https://www.linkedin.com/jobs/view/senior-software-engineer-... |
| `trackingId` | Vs6AwqBp8ANtCzcndbVJrA== |
| `refId` | null |
| `companyLogo` | https://media.licdn.com/dms/image/v2/C560BAQFqYO6c_JfA5A/com... |
| `isNew` | false |
| `seniorityLevel` | Not Applicable |
| `employmentType` | Full-time |
| `jobFunction` | null |
| `industries` | Financial Services |
| `applicants` | Over 200 applicants |
| `postedAgo` | 3 days ago |
| `description` | The Company PayPal has been revolutionizing commerce globall... |
| `descriptionHtml` | <strong>The Company<br></strong>PayPal has been revolutioniz... |
| `applyUrl` | https://www.linkedin.com/jobs/view/senior-software-engineer-... |
| `searchKeywords` | python developer |
| `searchLocation` | United States |
| `jobUrn` | urn:li:jobPosting:4465604021 |

### 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** to get fresh rows every day.
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
{
  "keywords": "python developer",
  "location": "United States",
  "urls": [],
  "datePosted": "week",
  "workType": "any",
  "jobType": "any",
  "maxItems": 3,
  "includeDetails": true,
  "onlyNew": false,
  "useApifyProxy": true,
  "proxyGroups": []
}
```

#### Output example (a real run)

```json
[
  {
    "jobId": "4465604021",
    "title": "Senior Software Engineer - Python",
    "company": "Venmo",
    "companyUrl": "https://www.linkedin.com/company/venmo",
    "location": "San Jose, CA",
    "postedDate": "2026-10-22",
    "salary": null,
    "benefits": null,
    "jobUrl": "https://www.linkedin.com/jobs/view/senior-software-engineer-python-at-venmo-4465604021",
    "trackingId": "Vs6AwqBp8ANtCzcndbVJrA==",
    "refId": null,
    "companyLogo": "https://media.licdn.com/dms/image/v2/C560BAQFqYO6c_JfA5A/company-logo_100_100/company-logo_100_100/0/1630671648627/venmo_logo?e=2147483647&v=beta&t=Fi0eAWLUnQZSiwbMnfpJ8zsELjGcPFfJpi38G0DEBK8",
    "isNew": false,
    "seniorityLevel": "Not Applicable",
    "employmentType": "Full-time",
    "jobFunction": null,
    "industries": "Financial Services",
    "applicants": "Over 200 applicants",
    "postedAgo": "3 days ago",
    "description": "The Company\nPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.\nWe operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.\nWe offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with the
```

One flat row per result.

### 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 search api
- linkedin new jobs alert
- scrape linkedin jobs no login
- linkedin job listings to csv

### 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

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

Job title or skills, e.g. python developer.

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

City, country or region, e.g. United States, Berlin, Remote.

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

Pasted linkedin.com/jobs/search URLs. Keywords, location and filters are read from them.

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

Only jobs posted within this time.

## `workType` (type: `string`):

On-site, remote or hybrid.

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

Employment type.

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

Upper limit of jobs per run (1-500).

## `includeDetails` (type: `boolean`):

Open each job for description, seniority, employment type, industries and applicants. Turn off for faster, lighter runs.

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

Skip jobs already returned by an earlier run with the same input. The first run returns everything.

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

Send requests through Apify Proxy.

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

Optional Apify proxy groups, e.g. RESIDENTIAL.

## Actor input object example

```json
{
  "keywords": "python developer",
  "location": "United States",
  "urls": [],
  "datePosted": "week",
  "workType": "any",
  "jobType": "any",
  "maxItems": 3,
  "includeDetails": true,
  "onlyNew": false,
  "useApifyProxy": true,
  "proxyGroups": []
}
```

# 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",
    "datePosted": "week",
    "maxItems": 3,
    "useApifyProxy": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("h1018y/anvil-linkedin-p66497-reliable").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",
    "datePosted": "week",
    "maxItems": 3,
    "useApifyProxy": True,
}

# Run the Actor and wait for it to finish
run = client.actor("h1018y/anvil-linkedin-p66497-reliable").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",
  "datePosted": "week",
  "maxItems": 3,
  "useApifyProxy": true
}' |
apify call h1018y/anvil-linkedin-p66497-reliable --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,h1018y/anvil-linkedin-p66497-reliable"
        }
    }
}
```

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/79eszcQh9Kie3g0Wd/builds/h9hVJeQ0xEC7Yzqei/openapi.json