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Jobs With Salary Data - Multi-City Salary Research

Collect job listings with salary minimum, maximum, currency, interval and annual normalization for labor-market analysis.

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Job Scraper - LinkedIn Jobs, Indeed & Multi-City Job Alerts
Job Scraper - LinkedIn Jobs, Indeed & Multi-City Job Alertsgroupoject/multi-job-board-scraper
Job Title
Company
Location
Board
+12 fields
Text
Number
Boolean
List
Object

Input

Multiple search terms:software engineer+2
Multiple locations:New York, NY+1
Job boards:indeed
Only jobs with salary data:true
Normalize salary to annual:true
Max results per board:20
Max total jobs:100

Output fields

Job Title
Company
Location
Board
Type
Remote
Salary
Salary Min
Salary Max
Currency
Posted
Age (days)
Hiring Signal
Link
Search
Search Location

How it works

Sign up on Apify or log in

The Job Scraper - LinkedIn Jobs, Indeed & Multi-City Job Alerts Actor is ready to run with the inputs already set for "Jobs With Salary Data - Multi-City Salary Research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Jobs With Salary Data - Multi-City Salary Research" task

The Job Scraper - LinkedIn Jobs, Indeed & Multi-City Job Alerts Actor will start running based on the input automatically. You can also change all the input fields, like multiple search terms, multiple locations, and more, to match your specific use case.

Receive the "Jobs With Salary Data - Multi-City Salary Research" 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 "Jobs With Salary Data - Multi-City Salary Research" task via API.

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