Go to example tasks

Scrape jobs by company on LinkedIn

Get every open job at any company from its LinkedIn page — title, location, salary, posted date and apply link as structured data.

Try for free
LinkedIn Job Search Scraper — Job Postings & LinkedIn Salary
LinkedIn Job Search Scraper — Job Postings & LinkedIn Salaryafanasenko/linkedin-jobs-scraper
Company logo URL
Company name
Job title
Job location
+7 fields
Text
Number
Boolean
List
Object

Input

1. Choose Operation Mode(required):searchCompanyJobs
Company LinkedIn URLs:https://www.linkedin.com/company/microsoft/
Max jobs to fetch (Mode 3 cost control):10

Output fields

Company logo URL
Company name
Job title
Job location
Workplace type (On-site / Hybrid / Remote)
Posted time (search rows)
Salary (search rows — often empty)
Job posting URL
Apply link (detail)
Row status
Why withheld

How it works

Sign up on Apify or log in

The LinkedIn Job Search Scraper — Job Postings & LinkedIn Salary Actor is ready to run with the inputs already set for "Scrape jobs by company on LinkedIn". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scrape jobs by company on LinkedIn" task

The LinkedIn Job Search Scraper — Job Postings & LinkedIn Salary Actor will start running based on the input automatically. You can also change all the input fields, like 1. choose operation mode, company linkedin urls, and more, to match your specific use case.

Receive the "Scrape jobs by company on LinkedIn" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as company logo url, company name, job title, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Scrape jobs by company on LinkedIn" task via API.

Image

Integrate "Scrape jobs by company on LinkedIn" into your workflow

Connect "Scrape jobs by company on LinkedIn" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay

Frequently asked questions

Replace the demo Microsoft URL with the company's LinkedIn page URL and leave the keyword blank to get its complete listing in all locations. Raise Max jobs to fetch: large companies list over a thousand roles.

Yes. Add one LinkedIn company URL per line and the task searches all of them together. Schedule it daily and compare the datasets to spot new postings at those companies.

Yes. Add one core keyword such as engineer to narrow the listing, and set a country or city in the location fields. Without them the company search runs worldwide.

Some companies hire on their own careers site and list nothing on LinkedIn. The run report then names each company with its live open-roles count, so you can tell no listings apart from a too-narrow keyword.

No. You don't connect a LinkedIn account and there is nothing to log in to. The task reads public LinkedIn job postings only.