Summary
The Brand Manager ...",
"seniorityLevel": "Not Applicable",
"employmentType": "Full-time",
"jobFunction": "Marketing and Sales",
"industries": "Manufacturing",
"jobPosterName": null,
"applyType": "EXTERNAL",
"applyUrl": "",
"inputUrl": "https://www.linkedin.com/jobs/search?keywords=marketing+manager&location=United+States"
}
```
### Pricing
**$0.30 per 1,000 jobs** ($0.0003 per job), **no start fee**, details included, platform usage and residential proxies included. You pay only for records written to the dataset. Set the maximum budget per run in the Actor settings; the scraper stops when it is reached and never overshoots.
**Final price.** The per-job price is everything you pay: platform usage is included, there is no start fee and no per-run minimum. Some listings on the Store show a lower number and add platform usage on top; here the number on the listing is the number on your bill.
| Monthly spend | Jobs |
|---|---|
| $5, which is what the free plan includes | about 16,700 |
| $49 | about 163,300 |
| $499 | about 1,663,300 |
For comparison, the most used LinkedIn jobs Actor charges $2 per 1,000 jobs on the free plan and $1 on paid plans.
### Switching from another LinkedIn jobs Actor
Field names follow the most used one (`id`, `link`, `title`, `companyName`, `companyLinkedinUrl`, `companyLogo`, `location`, `salaryInfo`, `postedAt`, `benefits`, `descriptionHtml`, `descriptionText`, `applicantsCount`, `applyUrl`, `jobPosterName`, `jobPosterTitle`, `jobPosterPhoto`, `jobPosterProfileUrl`, `seniorityLevel`, `employmentType`, `jobFunction`, `industries`), and its `urls`, `keywords`, `location`, `geoId`, `distance`, `datePosted`, `companyIds`, `under10Applicants` and `limitPerSource` inputs are understood. Company enrichment (employee count, website) is not included yet.
### Limitations
- Only what LinkedIn shows a visitor without an account: public job postings. Nothing that needs a login.
- LinkedIn returns at most 1,000 jobs per search. For more, split by location, date window or company.
- LinkedIn has retired several classic filters (experience level, job type, workplace) for many searches; they are passed along and applied when LinkedIn honours them. Date, Easy Apply, under-10-applicants and company filters work.
- `applyUrl` is usually empty: LinkedIn hides the external apply link behind a login for most postings. `applyType` still tells Easy Apply from external applications, and the job URL in `link` always works.
- Title filters look at the title only, not at the description; `companyNames` uses LinkedIn's best match for a name, so check the log line or use `companyIds` for an exact company.
### FAQ
#### Do I need a LinkedIn account?
No. The scraper reads the public job pages that LinkedIn shows to anyone. Nothing is posted, no account of yours is used.
#### How fast is it?
About 100 jobs with full details in a minute; five times faster with details off.
#### Can I run it every day and get only new jobs?
Yes. Set *Date posted* to *Past 24 hours* (or `postedWithinHours` to match any other schedule, e.g. `6`) and schedule the run; each run returns only the new postings.
#### Is scraping LinkedIn jobs legal?
Job postings are public data companies publish to be found. Reading public pages without an account is generally legal (the hiQ v. LinkedIn rulings in the US), but you are responsible for how you use the data; respect privacy laws for the recruiter names. This Actor is not affiliated with LinkedIn or Microsoft.
### Use it from n8n, Make, Zapier or an AI agent
- **n8n, Make, Zapier**: add the Apify node, pick `alfalfa/linkedin-jobs-scraper`, paste the JSON input above and read the run's dataset in the next step. See the [Apify integrations docs](https://docs.apify.com/platform/integrations).
- **Daily Google Sheets tracker**: schedule a run with `postedWithinHours: 36` once every 24 hours, then use the Apify node's **Get items** operation on the run's `defaultDatasetId`. In Google Sheets, use **Append or update row** and match the `id` column. The overlap catches postings near the schedule boundary while the sheet keeps one row per job. A job returned again on a later run is still a new billed Actor result.
- **AI agents and MCP**: connect the Apify MCP server with this Actor as a tool, `https://mcp.apify.com/?tools=alfalfa/linkedin-jobs-scraper`. See [Apify MCP docs](https://docs.apify.com/platform/integrations/mcp).
- **API and scheduling**: every run is available through the [Apify API](https://docs.apify.com/api/v2); schedules, webhooks and exports are built in.
### Examples you can run in one click
Each example opens with its input already filled in and a sample of the results, so you can change any field and run it right away.
- [Export LinkedIn jobs to CSV](https://apify.com/alfalfa/linkedin-jobs-scraper/examples/linkedin-jobs-export-csv)
- [LinkedIn Easy Apply jobs](https://apify.com/alfalfa/linkedin-jobs-scraper/examples/linkedin-easy-apply-jobs)
- [LinkedIn job postings for lead generation](https://apify.com/alfalfa/linkedin-jobs-scraper/examples/linkedin-job-postings-for-lead-generation)
- [LinkedIn jobs API](https://apify.com/alfalfa/linkedin-jobs-scraper/examples/linkedin-jobs-api)
- [LinkedIn jobs by keyword](https://apify.com/alfalfa/linkedin-jobs-scraper/examples/linkedin-jobs-by-keyword)
- [LinkedIn jobs to Google Sheets](https://apify.com/alfalfa/linkedin-jobs-scraper/examples/linkedin-jobs-to-google-sheets)
- [LinkedIn jobs under 10 applicants](https://apify.com/alfalfa/linkedin-jobs-scraper/examples/linkedin-jobs-under-10-applicants)
- [Remote jobs on LinkedIn](https://apify.com/alfalfa/linkedin-jobs-scraper/examples/remote-linkedin-jobs)
Need something the examples do not cover? Every field is on the Input tab, and any example input works unchanged in an API call or an n8n, Make or Zapier workflow.
### Was this useful?
If this Actor saved you time, a short review on its Store page helps others find it and tells me what to improve next. Missing a field or stuck on an input? Open an Issue on the Actor page; issues are answered within a day.
### More scrapers by Alfalfa
| Actor | What it does | Price |
|---|---|---|
| [Facebook Ads Library Scraper](https://apify.com/alfalfa/facebook-ads-library-scraper) | ads from the Meta Ad Library with creatives, dates, platforms and EU reach | $0.45 per 1,000 ads |
| [Google Ads Transparency Scraper](https://apify.com/alfalfa/google-ads-transparency-scraper) | every Google ad of an advertiser or website domain with format, dates, regions, previews and YouTube video ids | $0.30 per 1,000 ads |
| [Google Maps Scraper](https://apify.com/alfalfa/google-maps-scraper) | places from any search and location with address, phone, website, rating and hours, plus reviews and website emails | $0.07 per 1,000 places |
| [LinkedIn Company Scraper](https://apify.com/alfalfa/linkedin-company-scraper) | LinkedIn company pages from URLs, names, websites or a filtered keyword search with size, employee count, followers, offices and recent posts | $1 per 1,000 companies |
| [Amazon Product Scraper](https://apify.com/alfalfa/amazon-product-scraper) | products from searches, Best Sellers lists and ASINs in 22 Amazon stores with price, rating, BSR and details | $0.28 per 1,000 products |
| [YouTube Scraper](https://apify.com/alfalfa/youtube-scraper) | videos of a search, channel, playlist or URL list with views, likes, date, tags, plus transcripts and comments; no API key | $0.50 per 1,000 rows |
| [YouTube Transcript Scraper](https://apify.com/alfalfa/youtube-transcript-scraper) | transcripts only: the subtitles of videos, channels, playlists or searches as timed segments, plain text, SRT or WebVTT | $0.09 per 1,000 transcripts |
| [Facebook Posts Scraper](https://apify.com/alfalfa/facebook-posts-scraper) | posts of any public page or profile | $2 per 1,000 posts |
| [Facebook Comments Scraper](https://apify.com/alfalfa/facebook-comments-scraper) | comments and replies of any public post | $0.30 per 1,000 comments |
| [Facebook Pages Scraper](https://apify.com/alfalfa/facebook-pages-scraper) | page details with email, phone, address | from $2.50 per 1,000 pages |
| [Facebook Events Scraper](https://apify.com/alfalfa/facebook-events-scraper) | events by search, city, page or URL | $3 per 1,000 events |
### Not working?
Open an issue in the **Issues** tab with your input and the run ID. LinkedIn changes its pages now and then; fixes usually ship within a day.
# Changelog
This Actor's version history is a separate document: https://apify.com/alfalfa/linkedin-jobs-scraper/changelog.md
# Actor input Schema
## `keywords` (type: `string`):
Job title, skill or free text, as you would type it on LinkedIn: data engineer, marketing manager remote.
## `location` (type: `string`):
City, region or country as you would type it on LinkedIn: United States, London, United Kingdom, Berlin.
## `datePosted` (type: `string`):
Only jobs posted within this window.
## `postedWithinHours` (type: `integer`):
Your own posting window in hours, e.g. 6 for a run every six hours or 48 for two days. Overrides Date posted when set.
## `maxJobs` (type: `integer`):
Maximum jobs per search or start URL. LinkedIn shows at most 1,000 results per search; split broad searches by location or date to get more. limitPerSource and rows are accepted as aliases.
## `scrapeDetails` (type: `boolean`):
Open every job page for the full description, seniority, employment type, job function, industries, applicant count, salary when shown and the job poster. One extra request per job, no surcharge. Off = list fields only (title, company, location, date), about five times faster.
## `startUrls` (type: `array`):
LinkedIn job search URLs copied from your browser (linkedin.com/jobs/search?keywords=...\&location=..., filters in the URL are kept) or single job URLs (linkedin.com/jobs/view/1234567890). Each URL is one task on top of the search above.
## `companyNames` (type: `array`):
Restrict the search to these companies by name, e.g. Microsoft, Siemens Healthineers. Each name is looked up on LinkedIn and used only when a company of that name exists (the log shows which); names that are not found or misspelled are skipped. For exact control use Company IDs instead.
## `companyIds` (type: `array`):
Numeric LinkedIn company IDs to restrict the search to, e.g. 1441 for Google (the f_C= value in a search URL).
## `titleInclude` (type: `array`):
Keep only jobs whose title contains at least one of these words or phrases, e.g. python, data engineer. Case-insensitive, so engineer also matches Engineering. Applies to search results before a job is saved: filtered-out jobs are not charged, and the search reads more pages until Max jobs per search matching jobs are found.
## `titleExclude` (type: `array`):
Skip jobs whose title contains any of these words or phrases, e.g. senior, intern, manager. Case-insensitive. Filtered-out jobs are not saved and not charged.
## `experienceLevel` (type: `array`):
LinkedIn applies this filter only where its search still supports it; results may ignore it.
## `jobType` (type: `array`):
LinkedIn applies this filter only where its search still supports it; results may ignore it.
## `workplaceType` (type: `array`):
On-site, remote or hybrid. LinkedIn applies this filter only where its search still supports it.
## `easyApply` (type: `boolean`):
Only jobs with LinkedIn's Easy Apply.
## `under10Applicants` (type: `boolean`):
Only jobs with fewer than 10 applicants so far.
## `sortBy` (type: `string`):
LinkedIn's relevance order or newest first.
## `geoId` (type: `string`):
Optional numeric geoId from a LinkedIn search URL for a precise location; overrides the location text.
## `distance` (type: `integer`):
Search radius around the location, in miles.
## `maxConcurrency` (type: `integer`):
Searches run in parallel (default 5). Pages of one search are always read in order.
## `proxyConfiguration` (type: `object`):
Residential proxies are included in the price per job. Leave the default unless you want your own proxy servers.
## Actor input object example
```json
{
"keywords": "marketing manager",
"location": "United States",
"datePosted": "pastWeek",
"maxJobs": 100,
"scrapeDetails": true,
"experienceLevel": [],
"jobType": [],
"workplaceType": [],
"easyApply": false,
"under10Applicants": false,
"sortBy": "relevance",
"maxConcurrency": 5,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
```
# Actor output Schema
## `jobs` (type: `string`):
All scraped jobs as JSON. Append ?format=csv for CSV.
# 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 '