I don’t mind the process but the outcome is the data. Most likely using these methods
Develop a Python automation to harvest influencer data from YouTube (Data API v3) and Instagram (Phantombuster) and export a deduplicated CSV. For YouTube: iterate provided keywords, search channels, capture channel name, URL, subscriber count, description snippet, parse emails, filter 50k–500k subscribers, and log keyword source. For Instagram: run hashtag scrapers, collect up to 500 posts per tag, extract unique profiles, scrape username, followers, bio, email, website, apply follower and activity/bio filters, flag missing emails, and produce a unified CSV with specified columns and filtering rules.
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