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G2
4.7/5
Excellent
Trustpilot

Turn LinkedIn Jobs
into structured data

Scrape public LinkedIn job search results by keyword and location: titles, companies, locations, posting dates, salaries, full descriptions, and company details.

01-Integration

Integrate LinkedIn Jobs API your way

Connect to Scrape.ly using Python, JavaScript, HTTP, cURL, OpenAPI, or MCP and start extracting LinkedIn Jobs data in minutes.

from scrapely_client import ScrapelyClient
client = ScrapelyClient('YOUR_TOKEN', api_url='https://api.scrape.ly')
run = client.actor('openrole/linkedin-jobs-scraper').call(
run_input={
'keywords': 'data engineer',
'location': 'Berlin, Germany',
'datePosted': 'pastWeek',
}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
02-Input & Output

Send a role and a location, get structured job listings

Pass keywords, locations, and posting dates into Scrape.ly. Get structured outputs with job titles and companies, locations and workplace types, salaries, posting dates and applicants, and full descriptions, and more.

Input
1 2 3 4 5
{
 "keywords": "data engineer",
 "location": "Berlin, Germany",
 "datePosted": "pastWeek"
}
Output
1 2 3 4 5 6 7 8 9 10
{
 "id": "4467979826",
 "title": "Senior Data Engineer (m/f/d)",
 "companyName": "A11",
 "location": "Berlin, Germany",
 "postedAt": "2026-10-14",
 "applicantsCount": "137",
 "employmentType": "Full-time",
 "link": "https://de.linkedin.com/jobs/view/senior-data-engineer-m-f-d-at-a11-4467979826?position=2&pageNum=0&refId=yajbes8RXcTLot6OjxZdMw%3D%3D&tr…"
}
03-How it works

Start extracting LinkedIn Jobs data in four simple steps

Scrape.ly keeps the setup simple so you can move from signup to live LinkedIn Jobs data without wasting time on scraping infrastructure.

Step 1

Create your Scrape.ly account

Create your account and get access to ready-made APIs, scrapers, and automation tools.

Step 2

Get your Scrape.ly API token

Copy your API token from the Scrape.ly dashboard and use it to authenticate your requests.

Step 3

Connect LinkedIn Jobs API

Choose Python, JavaScript, HTTP, or MCP and connect Scrape.ly to your app or workflow.

Step 4

Fetch LinkedIn Jobs data

Send your keywords, locations, and posting dates, then receive clean structured data ready for analysis.

04-Why Scrape.ly

Everything you need to extract data reliably

Scrape.ly gives you ready-made APIs, proxy support, monitoring, exports, integrations, and scalable infrastructure in one platform.

Never Get Blocked

Use built-in proxy support to reduce blocks, rate limits, and failed requests.

Export Any Format

Get results in JSON, CSV, Excel, XML, HTML table, RSS, or other workflow-friendly formats.

Monitor Every Run

Track scraper status, performance, failures, retries, and outputs from one dashboard.

Built-In Integrations

Connect with webhooks, APIs, automation tools, cloud apps, and internal systems.

Scalable Infrastructure

Run small tests or high-volume extraction jobs without rebuilding your scraping stack.

Developer-Friendly

Use clean APIs, SDKs, docs, examples, and structured outputs built for real workflows.

05-AI-Ready Data

FeedLinkedIn Jobsdata into your tools instantly

Connect Scrape.ly with your apps, dashboards, sheets, agents, and automation workflows to turn LinkedIn Jobs data into action.

06-Explore APIs

More LinkedIn Jobs APIs on Scrape.ly

Browse ready-made LinkedIn Jobs scrapers and APIs available inside Scrape.ly and choose the one that fits your workflow.

//07-FAQ\\

Common questions about LinkedIn Jobs API

Quick answers about using Scrape.ly's LinkedIn Jobs API, available data, setup, and legal usage.

Got more questions?Reach out to us


Official APIs, where they exist, usually need approval, keys, or paid tiers and limit which public data you can pull. Scrape.ly's LinkedIn Jobs API collects the public data shown on LinkedIn Jobs and returns it as structured JSON, with no approval process.

G2
4.7/5
Excellent
Trustpilot

The internet is full of data.
Start owning yours.

Scrape.ly gives you the infrastructure, the tooling, and the team to extract, process, and operationalize web data at any scale. Setup takes minutes. The advantage lasts forever.

No credit card. No setup calls.