Identify Manufacturing Occupations Using Python
Created by
Crawler Bros
Discover which manufacturing occupations actively utilize Python as a 'Hot Technology' and get their detailed profiles. This helps manufacturing firms identify
O*NET Occupation Data Scrapercrawlerbros/onet-occupation-data-scraper
Soc code
Title
Bright outlook
Median annual wage
+3 fieldsTextNumberBooleanListObject
Input
Mode(required):browseByIndustry
SOC codes (mode = bySocCode):15-1252.00
Search query (mode = search):electrician
Job Zone (mode = browseByJobZone):4
Bright Outlook category (mode = browseByBrightOutlook):0
Job Family (mode = browseByJobFamily):15
Industry (mode = browseByIndustry):31
Career Cluster (mode = browseByCareerCluster):060100
STEM category (mode = browseBySTEM):0
Output fields
Soc code
Title
Bright outlook
Median annual wage
Employment count
Projected growth label
Onet url
Sign up on Apify01
Create your Apify account to access the O*NET Occupation Data 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.
