Go to example tasks

Audit a Company's US Hiring Footprint

See a company’s current open roles across the United States to understand its active hiring footprint by location.

Try for free
LinkedIn Company Jobs Scraper
LinkedIn Company Jobs Scraperkhadinakbar/linkedin-company-jobs-scraper
Job title
Company
Location
Posted
+5 fields
Text
Number
Boolean
List
Object

Input

Company (LinkedIn URL, slug, or numeric ID)(required):hubspot
Location filter (optional):United States
Date posted:any
Max jobs:10
Fetch full job details:false

Output fields

Job title
Company
Location
Posted
Workplace
Type
Seniority
Applicants
URL

How it works

Sign up on Apify or log in

The LinkedIn Company Jobs Scraper Actor is ready to run with the inputs already set for "Audit a Company's US Hiring Footprint". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Audit a Company's US Hiring Footprint" task

The LinkedIn Company Jobs Scraper Actor will start running based on the input automatically. You can also change all the input fields, like company (linkedin url, slug, or numeric id), location filter (optional), and more, to match your specific use case.

Receive the "Audit a Company's US Hiring Footprint" 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 job title, company, location, 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 "Audit a Company's US Hiring Footprint" task via API.

Image

Integrate "Audit a Company's US Hiring Footprint" into your workflow

Connect "Audit a Company's US Hiring Footprint" 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