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Linkedin Jobs Scraper Python Developer Example
Created by
Mary Lou
Get access to the latest Python developer job postings in London. This task scrapes LinkedIn for detailed job descriptions, company names, locations, salaries, and more. It returns up to 50 job listings tailored to your search criteria, providing insights into the job market and hiring trends for Python developers in the area.
LinkedIn Jobs Scraperjmlp/linkedin-jobs-scraper
Title
Company
Location
Posted date
+4 fieldsTextNumberBooleanListObject
Input
Keywords:python developer
Locations:London
Date posted:any
Sort by:relevance
Scrape full job descriptions:true
Max jobs:50
Max concurrency:2
Delay between requests (ms):1000
Proxy
Proxy rotation attempts:3
Checkpoint progress:true
Continue from last run:false
TLS fingerprint:chrome131
Output fields
Title
Company
Location
Posted date
Salary
Seniority
Employment type
Job URL
Sign up on Apify01
Create your Apify account to access the LinkedIn 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.
