Go to example tasks

Watch target companies for new engineering roles

Give it your account list and a keyword, schedule it, and each run returns only the matching roles that are new since last time, with the apply link and the pay range already in the row. A company posting four data engineering roles in a week is a company buying a data stack, which is the signal sales teams work from. A filtered run keeps its own comparison, separate from an unfiltered one.

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LinkedIn, Workday, Greenhouse and ATS Jobs Scraper
LinkedIn, Workday, Greenhouse and ATS Jobs Scrapertitian_fluorite/ats-jobs-scraper
Company slug
Company name
Job title
Department
+13 fields
Text
Number
Boolean
List
Object

Input

Companies(required):https://job-boards.greenhouse.io/stripe+3
Job title keywords:engineer
Only return what changed:true
Include job descriptions:false

Output fields

Company slug
Company name
Job title
Department
Location
Workplace type
Employment type
Salary minimum
Salary maximum
Salary currency
Change
Posted at
Apply URL
ATS
Job ID
Input
Error

How it works

Sign up on Apify01

Create your Apify account to access the LinkedIn, Workday, Greenhouse and ATS Jobs Scraper.

Start the run02

The Actor will start running based on the input automatically.

Receive the output03

Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.

Integrate into your workflow04

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.

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