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US Data Engineers | LinkedIn Data Engineering Jobs Scraper

Run US Data Engineers with public LinkedIn job data. Export source-linked evidence for recruiting, research, monitoring, automation, and AI workflows.

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LinkedIn Data Engineering Jobs Scraper
LinkedIn Data Engineering Jobs Scraperneuton/linkedin-data-engineering-jobs-intelligence
Classification
Job title
Company
Location
+9 fields
Text
Number
Boolean
List
Object

Input

Job searches(required):data engineer
Locations(required):United States
Date posted:r2592000
Jobs to inspect per search:25
Maximum results:1

Output fields

Classification
Job title
Company
Location
LinkedIn job ID
Evidence field
Direct evidence
Posted date
Displayed salary
Application URL
Canonical job URL
Source type
Scraped at

How it works

Sign up on Apify or log in

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

Start the "US Data Engineers | LinkedIn Data Engineering Jobs Scraper" task

The LinkedIn Data Engineering Jobs Scraper Actor will start running based on the input automatically. You can also change all the input fields, like job searches, locations, and more, to match your specific use case.

Receive the "US Data Engineers | LinkedIn Data Engineering Jobs Scraper" 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 classification, job title, company, 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 "US Data Engineers | LinkedIn Data Engineering Jobs Scraper" task via API.

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