LinkedIn Jobs Scraper

Extracts LinkedIn job listings by keyword and location — title, company, location, employment type, seniority level, job function, industry, posting date, salary where listed, and the job URL.

Run on Apify467 userson Apify, measured 2026-08-24

What it extracts

Every field below comes from the Actor’s published dataset schema.

Field	Description	Type
`title`	Job Title	text
`company`	Company	text
`location`	Location	text
`employmentType`	Employment Type	text
`seniorityLevel`	Seniority	text
`jobFunction`	Job Function	text
`industry`	Industry	text
`postedAt`	Posted	text
`salary`	Salary	text
`jobUrl`	Job URL	link

Input parameters

Generated from the Actor’s input schema — the same fields the Apify console shows.

Parameter	Type	Required	Description
`keywords`	string	Optional	Job title or keywords to search for (e.g. 'software engineer'). Optional if a location is provided.
`location`	string	Optional	Location to search in (e.g. 'San Francisco, CA'). Optional if keywords are provided.
`maxItems`	integer	Optional	Maximum number of job listings to scrape
`proxyConfiguration`	object	Optional	Select proxies to be used by the scraper. Residential proxies recommended.

API access

Run this Actor from your own code over the Apify API.

Inputjson

{}

REST — run and get resultsbash

curl -X POST \
  "https://api.apify.com/v2/acts/logical_scrapers~linkedin-jobs-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

JavaScript — apify-clientjavascript

import { ApifyClient } from 'apify-client'

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' })

const run = await client.actor('logical_scrapers~linkedin-jobs-scraper').call({})

const { items } = await client.dataset(run.defaultDatasetId).listItems()
console.log(items)

Python — apify-clientpython

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("logical_scrapers~linkedin-jobs-scraper").call(run_input={})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Runs are executed on Apify. Create an API token in your Apify account, then call the Actor over REST or with the official client for your language. The same input object works in the Apify console, so you can test interactively before automating.

Use cases

Competitor hiring intelligence

Track which roles a company is opening, where, and at what seniority, to infer where it is investing.

Recruiting and talent pipelines

Monitor open roles across a market to understand who you are competing with for candidates.

Salary and demand research

Aggregate listings across a role or region to study demand and the salary ranges that are published.

Job board aggregation

Feed fresh, structured listings into your own platform or dashboard on a schedule.

Pricing

Pay per event — you are charged for each successfully scraped result item.

Current rates are published on the Apify listing and can change, so they are not duplicated here. See pricing on Apify

Reliability

99.4% run success rate

Measured across all public Goldmine Actors on Apify, 2026-08-24. This is an account-level figure, not a per-Actor benchmark — per-Actor speed and completeness benchmarks are not yet published. Source.

Limitations

What this Actor does not do, so you can tell before you run it whether it fits.

Searches by keyword and location, the same as the LinkedIn jobs search bar. It cannot filter on criteria LinkedIn does not expose in that search.
Salary is present only when the employer publishes it — a large share of listings omit it.
Returns the listing as posted. It does not resolve applicant counts or recruiter contact details.
Result volume per run is bounded by what LinkedIn returns for the search; narrow the location or keyword to go deeper.

Frequently asked questions

Does it need a LinkedIn account or cookies?

No. It collects publicly available job listings without authentication, so no credentials are shared and no account is exposed.

How do I target a specific company?

Put the company name in `keywords` alongside the role. The search behaves like the LinkedIn jobs search bar, so the same query syntax applies.

How is it priced?

Pay per event — you are charged per result actually scraped. Current rates are on the Apify listing.

Used for

Workflows this Actor is part of, and the other scrapers it chains with.