Job Data Scraping into CSV
Budget: $30 – $250 AUD
I'm looking for a data scraping expert who can help me gather job listings from three specific websites: Seek, Konnecting, and CareerOne. The data will need to be combined into a single CSV file.
Data Requirements:
- The data points to be scraped include the job title, company name, location, job description and requirements, salary (minimum $70k per year) and job type (Full-Time), and the keyword "sponsorship"
- Posts that contain "no sponsorship" or "sponsorship not available" must be excluded.
- Only jobs with a minimum salary of $70,000 per annum should be included (exclude job posts with hourly rates).
- Only jobs that have been posted in the last 14 days should be considered.
- Additional data points to be included are: image (company or poster image) and YouTube video (if any), Apply links, source website and job reference number.
- Capture the exact posting date of each job listing.
- Add the application deadline date, if mentioned in the job post.
- Scrape multiple page results
Skills & Experience:
- Proficiency in web scraping tools and languages (Python, Beautiful Soup, Scrapy, etc.)
- Experience with data organization and CSV formatting
- Strong understanding of job market terminology and conventions
- Attention to detail to ensure data accuracy and relevance
- Max 3 days to deliver
If you have the skills and experience to deliver this project, I'd be eager to hear from you.
The data in the CSV file should be updated on a daily basis. "all results."
Data Requirements:
- The data points to be scraped include the job title, company name, location, job description and requirements, salary (minimum $70k per year) and job type (Full-Time), and the keyword "sponsorship"
- Posts that contain "no sponsorship" or "sponsorship not available" must be excluded.
- Only jobs with a minimum salary of $70,000 per annum should be included (exclude job posts with hourly rates).
- Only jobs that have been posted in the last 14 days should be considered.
- Additional data points to be included are: image (company or poster image) and YouTube video (if any), Apply links, source website and job reference number.
- Capture the exact posting date of each job listing.
- Add the application deadline date, if mentioned in the job post.
- Scrape multiple page results
Skills & Experience:
- Proficiency in web scraping tools and languages (Python, Beautiful Soup, Scrapy, etc.)
- Experience with data organization and CSV formatting
- Strong understanding of job market terminology and conventions
- Attention to detail to ensure data accuracy and relevance
- Max 3 days to deliver
If you have the skills and experience to deliver this project, I'd be eager to hear from you.
The data in the CSV file should be updated on a daily basis. "all results."