AI Job Extraction and Summary
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Please install @user_9b6fdd0a/extract-boss-job according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
AI job postings change quickly and are scattered across recruitment pages. Manual copying, filtering, and trend tracking are slow. extract-boss-job targets job-search data analysis by collecting large-model and AI roles from BOSS Zhipin for selected cities into comparable local files.
Workflow and Limits
The skill expects Chrome remote debugging and Python dependencies, and requires the user to be logged in to BOSS Zhipin. It runs boss.py to scrape up to 20 pages, saves CSV output, and focuses on new postings today, salary ranges, company types, keyword shifts, 20-50k roles, and opportunities for new graduates. It can produce a summary txt and an HTML report, archived by date; image conversion is optional.
Notes: it depends on browser login state and third-party libraries, so use it with your own account and a controlled local environment. Cross-city comparisons are restricted, historical gaps matter, and vague company names are ignored.
Use Cases
- Collect large-model and AI roles in Beijing or Shanghai from BOSS Zhipin into CSV.
- Compare today’s new postings with the last run and flag 20-50k or new-grad roles.
- Summarize salary ranges, company types, and keyword trends into txt and HTML reports.
- Convert the daily job HTML page into images when archiving or sharing is required.
Best For
- AI engineers tracking job opportunities who need city-level comparisons of new roles and salary changes.
- Talent-market researchers who need to extract large-model job trends from BOSS Zhipin.
- New-graduate job seekers maintaining spreadsheets and looking for 20-50k open roles.
- Team leads who need periodic job reports as HTML and images.
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