Python workflow filters active YouTube creators for smarter outreach targeting
A Python-based scraping workflow using the Apify client can identify genuinely active YouTube creator prospects rather than returning raw channel lists. The tool filters candidates by criteria such as subscriber count, upload frequency, recent median views, and content format before surfacing results. Developers define qualification thresholds — like at least one video per month and a public upload within 60 days — before running the script to avoid bias from seeing data first. The output includes per-channel signals such as opportunity score, warnings, and format ratios to help users match creators to specific campaign needs. Metadata fields for declared country, inferred country, and detected language are kept separate to support accurate regional and linguistic targeting.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.
Discussion (0)
Log in to join the discussion and vote.
Log in