I’m a grad student and need to cover some tuition this semester. I’ve
  been scraping freelance job boards for a while and turned it into
  a dataset.

  Data:
  - 134,861 unique postings (Apr–Nov 2025)
  - Fields: description, hourly/fixed budget, client country, tech tags
  - Format: SQLite + CSV; scraped with Python (Selenium/Scrapy) with basic
  dedup/normalization (currencies, month-level timestamps, no company names/
  URLs)

  Sample insight: In this scrape, CV gigs pay more than LLM ones: median fixed
  budgets ≈ $3k vs ≈ $2k (Apr–Nov 2025; n≈270 CV, n≈18k NLP).

  Free sample (50 rows): https://docs.google.com/spreadsheets/
  d/1wvvX8JeOIEO2rYeuMf99LEBN4bmVoZ3ZQqHY_clvCvc/edit?gid=0#gid=0
  Full dataset: https://noctscraper.gumroad.com/l/freelance-ai-dataset

  Happy to answer questions about the schema or run a quick aggregate if
  you’re curious.