# LinkedIn Jobs Scraper | Full Description, Salary & Applicants (`tactful_anvil/linkedin-jobs-full-details-scraper`) Actor

Scrape LinkedIn jobs by keyword & location with all filters, then open each posting: full description, seniority, job type, function, industries, pay range, applicant count. Monitor mode = only new jobs; free company hiring-signal rows rank employers by open roles. No login, pay per result, MCP.

- **URL**: https://apify.com/tactful\_anvil/linkedin-jobs-full-details-scraper.md
- **Developed by:** [Mr Zack](https://apify.com/tactful_anvil) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.60 / 1,000 job with full details

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?

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 — Full Description, Salary, Applicants & Monitor

**Every LinkedIn job for your keywords + location, with the fields the cheap scrapers skip.** Search cards give you title, company (with LinkedIn company URL and logo), location, posted date, "Actively hiring" badge and clean job URL. Turn on details and each posting is opened for the **full description text, seniority level, employment type, job function, industries, base pay range and applicant count** ("26 applicants", "Over 200 applicants", "Be among the first 25"). A **monitor mode** remembers what you have already seen so scheduled runs return — and charge — only new postings. Free **company hiring-signal rows** rank the companies with the most open roles in your search: a ready-made lead list for recruiters and sales teams.

No login, no cookies, no proxies — public LinkedIn guest endpoints only. **$0.80 per 1,000 jobs, $1.60 per 1,000 jobs with full details.** Duplicates, monitor repeats, failures and signal rows are never charged.

### Who uses this

- **Recruiters & staffing agencies** — pull every open role for a title/market with salary and applicant competition, refresh daily with monitor mode.
- **Sales & lead-gen teams** — companies hiring for X are buying tools for X: the `company-signal` rows hand you accounts ranked by open headcount, with LinkedIn company URLs ready for enrichment.
- **Job boards, aggregators & career coaches** — structured feeds with full descriptions, not truncated snippets.
- **Analysts & AI agents** — salary ranges, seniority mix and remote share by market, on a schedule, via API or MCP.

### Input

| Field | Default | Notes |
|---|---|---|
| `keywords` | `data analyst` | Anything you would type into LinkedIn job search. |
| `location` | `United States` | City, state, country; empty = worldwide. |
| `locations` | `[]` | **New in 0.0.3.** Several markets in one run (`"Berlin, Germany"`, `"Amsterdam, Netherlands"`, `"Remote"`); overrides `location`, `maxJobs` per location. Use "City, Country" — bare city names often return nothing on LinkedIn. |
| `distance` | `0` | **New in 0.0.3.** Radius in miles around the location (LinkedIn `distance`). |
| `companyIds` | `[]` | **New in 0.0.3.** Only these companies (LinkedIn numeric IDs, `f_C`), e.g. `1441` = Google. |
| `titleInclude` / `titleExclude` | `[]` | **New in 0.0.3.** Keep / drop by title phrase (all words, whole-word, case-insensitive): `["senior data"]`, `["intern","director"]`. Dropped jobs are never charged. |
| `companyInclude` / `companyExclude` | `[]` | **New in 0.0.3.** Keep / drop by company-name substring — e.g. exclude staffing agencies. Never charged. |
| `searchUrls` | `[]` | Advanced: paste `linkedin.com/jobs/search?...` URLs with UI filters; each is a separate search. |
| `postedWithin` | `any` | `1h`, `24h`, `3d`, `week`, `month`. |
| `remote` | `any` | `remote`, `hybrid`, `onsite`. |
| `experienceLevels` | `[]` | internship, entry, associate, mid-senior, director, executive. |
| `jobTypes` | `[]` | full-time, part-time, contract, temporary, internship, volunteer, other. |
| `salaryMin` | `0` | USD/year, LinkedIn buckets 40k–200k. |
| `sortBy` | `relevance` | `date` = most recent first (use with monitor mode). |
| `easyApplyOnly`, `under10Applicants` | `false` | LinkedIn quick filters. |
| `maxJobs` | `50` | Per search, 10 per page, LinkedIn caps ~1,000. |
| `fetchDetails` / `maxDetails` | `true` / `50` | Open postings for full details (1 extra request each). |
| `includeDescriptionHtml` | `false` | Keep raw description HTML too. |
| `onlyNew` | `false` | Monitor mode — only postings not seen in earlier runs of this Actor in your account. |
| `companySignals` | `true` | Free roll-up rows (`type: company-signal`) + key-value record `COMPANY_SIGNALS`. |

### Output — job row

| Field | Example |
|---|---|
| `jobId`, `url`, `originalUrl` | `4459567722`, `https://www.linkedin.com/jobs/view/4459567722` |
| `title`, `company`, `companyUrl`, `companyLogoUrl` | `Data Analyst`, `Erie Home`, `https://www.linkedin.com/company/erie-home` |
| `location`, `listedAt`, `listedRelative`, `isNew`, `ageHours` | `Toledo, OH`, `2026-09-01`, `4 days ago`, `false`, `96` |
| `benefits`, `salaryBadge` | `Actively Hiring`, `$80K/yr - $85K/yr` (when LinkedIn shows it on the card) |
| **Details (`detailed: true`)** | |
| `description`, `descriptionLength` (+ `descriptionHtml` optional) | full text, 8,192 chars |
| `seniorityLevel`, `employmentType`, `jobFunction`, `industries` | `Not Applicable`, `Full-time`, `Information Technology`, `Construction` |
| `salaryMin`, `salaryMax`, `salaryPeriod`, `salaryCurrency`, `salaryText` | `80000`, `85000`, `year`, `USD`, `$80,000.00/yr - $85,000.00/yr` |
| `applicantsCount`, `applicantsIsOver`, `applicantsUnder`, `applicantsText` | `200`, `true`, `null`, `Over 200 applicants` |
| `isRemote`, `isHybrid`, `postedRelative`, `applyUrl` | derived flags; external apply URL when exposed |
| `searchKeywords`, `searchLocation`, `searchLabel`, `scrapedAt` | provenance |

Base pay range appears on roughly 1 in 10 US postings (only where the employer publishes it on LinkedIn); applicant counts appear on almost all.

### Output — company-signal row (free)

`type: "company-signal"`, `rank`, `company`, `companyUrl`, `companyLogoUrl`, `openRoles`, `shareOfSearch`, `sampleTitles[]`, `locations[]`, `locationsCount`, `remoteRoles`, `newestListedAt`, `jobFunctions[]`, `seniorityLevels[]`, `maxSalaryYear`, `searchKeywords`, `searchLocation`.

### Example output (one real detailed row, 6 Sep 2026)

```json
{
  "jobId": "4459567722",
  "url": "https://www.linkedin.com/jobs/view/4459567722",
  "title": "Data Analyst",
  "company": "Erie Home",
  "companyUrl": "https://www.linkedin.com/company/erie-home",
  "location": "Toledo, OH",
  "listedAt": "2026-09-01", "listedRelative": "4 days ago", "ageHours": 96,
  "benefits": "Actively Hiring",
  "seniorityLevel": "Not Applicable", "employmentType": "Full-time",
  "jobFunction": "Information Technology", "industries": "Construction",
  "salaryMin": 80000, "salaryMax": 85000, "salaryPeriod": "year", "salaryCurrency": "USD",
  "applicantsCount": 200, "applicantsIsOver": true, "applicantsText": "Over 200 applicants",
  "description": "About Leaf Home\n\nAt Leaf Home, we are powered by people on a single mission…",
  "descriptionLength": 8192, "isRemote": false, "detailed": true
}
```

Default input (50 jobs, all detailed) costs **$0.08** and finishes in about 30 seconds.

### Pricing

| Event | Price |
|---|---|
| Job (search card) | **$0.0008** ($0.80 / 1,000) |
| Job with full details | **$0.0016** ($1.60 / 1,000) — replaces the job fee for that row |
| Actor start | $0.001 |

Platform usage is included. Duplicates across pages/searches, monitor-mode repeats, postings that fail to load and company-signal rows are never charged; a failed detail fetch falls back to the plain job fee.

### Monitor jobs on a schedule

Set `sortBy: "date"`, `postedWithin: "24h"`, `onlyNew: true` and schedule the Actor hourly or daily (Console → **Schedules**). Each run outputs only postings that are new since the previous run — wire the dataset to Slack, email, Google Sheets, Airtable or a webhook via **Integrations** for real-time job alerts or hiring-signal alerts on target accounts (`companySignals` rows tell you which accounts just opened roles).

### API & AI agents (MCP)

```bash
curl -X POST "https://api.apify.com/v2/acts/tactful_anvil~linkedin-jobs-full-details-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords":"account executive","location":"New York","postedWithin":"week","remote":"remote","maxJobs":100,"maxDetails":100}'
```

Works with the **Apify MCP server** (`https://mcp.apify.com`) — add the Actor to Claude, Cursor, ChatGPT or your own agent and ask "which companies in Austin posted the most data engineering roles this week, with salary ranges?". Python: `ApifyClient(token).actor("tactful_anvil/linkedin-jobs-full-details-scraper").call(run_input={...})`.

### Why this Actor

- **Full details at a fair price** — description, criteria, salary and applicants for $1.60/1k; cards only for $0.80/1k.
- **Monitor mode built in** — dedupe across runs in your own key-value store, no re-charging for the same posting.
- **Hiring signals for free** — company roll-up rows turn a job search into an account list.
- **Fast & robust** — ~0.3 s per page, ~0.5 s per detail, retries with back-off, fail-loud if LinkedIn changes its layout (no silent empty datasets).

### Related Actors

- [Ad Budget Signals](https://apify.com/tactful_anvil/ad-budget-signals) — do these companies run ads? Pair with hiring signals for account scoring.
- [Contact Details Scraper](https://apify.com/tactful_anvil/contact-details-scraper) — emails, phones and socials from company websites.
- [Bulk Email Verifier](https://apify.com/tactful_anvil/bulk-email-verifier) — verify the addresses before outreach.
- [Brand Ads Cross-Network Spy](https://apify.com/tactful_anvil/brand-ads-cross-network-spy) — what your target accounts advertise on Google and LinkedIn.

### Found this useful? Bookmark & review

A bookmark or short review helps other recruiters and sales teams find this Actor — and tells me what to add next (company size, recruiter name, skills extraction?). Issues tab is open; I answer within 24 h.

### Changelog

- **0.0.3 (8 Sep 2026)** — billing hardening: a charging hiccup can no longer abort a run that already returned jobs (rows are delivered either way).
- **0.0.3 (8 Sep 2026)** — multi-location runs (`locations`), `distance`, `companyIds` (f\_C), post-filters `titleInclude` / `titleExclude` / `companyInclude` / `companyExclude` (filtered jobs never charged), clearer log when LinkedIn returns nothing for a bare city name. No existing field changed.
- **0.1 (6 Sep 2026)** — launch: guest search with all LinkedIn filters, pagination to 1,000, full detail pages, salary + applicants parsing, monitor mode, company hiring-signal rows.

# Actor input Schema

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

Job title, skill or company, exactly as you would type into LinkedIn job search (e.g. "data analyst", "registered nurse", "python remote").

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

City, state or country (e.g. "United States", "London, England", "Berlin"). Leave empty for worldwide.

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

Run the same keywords in several locations in one go (one per line). Use "City, Country" — bare city names like "Amsterdam" often return nothing on LinkedIn ("Amsterdam, Netherlands" works). Overrides Location; maxJobs applies per location.

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

Search radius around the location in miles (LinkedIn `distance`, e.g. 25). 0 = LinkedIn default.

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

Paste full linkedin.com/jobs/search?... URLs with any filters set in the LinkedIn UI. Each URL is a separate search; pagination is handled for you.

## `postedWithin` (type: `string`):

Only jobs posted in this window.

## `remote` (type: `string`):

LinkedIn workplace filter.

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

Filter by seniority (multi-select).

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

Full-time, contract, etc. (multi-select).

## `salaryMin` (type: `integer`):

0 = no filter. LinkedIn supports 40000, 60000, 80000, 100000, 120000, 140000, 160000, 180000, 200000 — the nearest lower bucket is used.

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

Most relevant (LinkedIn default) or most recent first — use "date" for monitoring.

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

LinkedIn f\_AL filter.

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

LinkedIn f\_EA filter — fresh postings with little competition.

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

Restrict to specific companies by LinkedIn numeric company ID (from the company URL or the `f_C=` parameter of a search URL), e.g. 1441 = Google.

## `titleInclude` (type: `array`):

Keep only jobs whose title contains ALL words of at least one of these phrases (case-insensitive, whole words), e.g. "senior data", "analytics engineer". Filtered-out jobs are never charged.

## `titleExclude` (type: `array`):

Drop jobs whose title contains all words of any of these phrases, e.g. "intern", "director". Never charged.

## `companyInclude` (type: `array`):

Keep only jobs whose company name contains one of these strings (case-insensitive).

## `companyExclude` (type: `array`):

Drop jobs from companies whose name contains any of these strings (e.g. staffing agencies).

## `maxJobs` (type: `integer`):

10 jobs per page; LinkedIn caps a search at ~1,000. Default 50.

## `fetchDetails` (type: `boolean`):

Opens each posting (1 extra request): full description, seniority, employment type, job function, industries, base pay range, applicant count. $1.60/1k instead of $0.80/1k.

## `maxDetails` (type: `integer`):

Details for the first N jobs (search order). Default 50; set 1000 for all.

## `includeDescriptionHtml` (type: `boolean`):

Also keep the raw HTML of the description (plain text is always included).

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

Remembers job IDs between runs (key-value store) and outputs — and charges — only new postings. Ideal for schedules and job alerts.

## `companySignals` (type: `boolean`):

Extra never-charged rows (type: company-signal): companies ranked by open roles in this search with sample titles, locations, remote count, newest posting and top salary — a lead list for sales & recruiters. Also saved as COMPANY\_SIGNALS.

## Actor input object example

```json
{
  "keywords": "data analyst",
  "location": "United States",
  "locations": [],
  "distance": 0,
  "searchUrls": [],
  "postedWithin": "any",
  "remote": "any",
  "experienceLevels": [],
  "jobTypes": [],
  "salaryMin": 0,
  "sortBy": "relevance",
  "easyApplyOnly": false,
  "under10Applicants": false,
  "companyIds": [],
  "titleInclude": [],
  "titleExclude": [],
  "companyInclude": [],
  "companyExclude": [],
  "maxJobs": 50,
  "fetchDetails": true,
  "maxDetails": 50,
  "includeDescriptionHtml": false,
  "onlyNew": false,
  "companySignals": true
}
```

# Actor output Schema

## `jobs` (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": "data analyst",
    "location": "United States",
    "locations": [],
    "companyIds": [],
    "titleInclude": [],
    "titleExclude": [],
    "companyInclude": [],
    "companyExclude": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("tactful_anvil/linkedin-jobs-full-details-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": "data analyst",
    "location": "United States",
    "locations": [],
    "companyIds": [],
    "titleInclude": [],
    "titleExclude": [],
    "companyInclude": [],
    "companyExclude": [],
}

# Run the Actor and wait for it to finish
run = client.actor("tactful_anvil/linkedin-jobs-full-details-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": "data analyst",
  "location": "United States",
  "locations": [],
  "companyIds": [],
  "titleInclude": [],
  "titleExclude": [],
  "companyInclude": [],
  "companyExclude": []
}' |
apify call tactful_anvil/linkedin-jobs-full-details-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,tactful_anvil/linkedin-jobs-full-details-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/JROg2dKtAEGB21Raa/builds/3e2EMtMydgpQwQJPp/openapi.json