If you run campaigns with creators, hunting YouTube influencers one by one quickly turns into spreadsheet purgatory: endless tabs, copy‑pasting stats, and guessing who is worth a message. A clean Google Sheets database turns that chaos into a map of your niche: subscribers, views, engagement, and contact info in one place. Let an AI computer agent handle the scouting and data entry so you can focus on relationships, offers, and creative angles instead of manual research.
There are three main ways to find YouTube influencers and populate their stats into Google Sheets.
You can search directly on YouTube, filter by topic and views, then open each channel to copy subscribers, recent views, and links into a sheet. This works for a handful of creators and gives you full control over who you add. The downside: it is slow, repetitive, and easy to make mistakes when you are juggling dozens of tabs.
Next level up: use tools like the YouTube Analytics export, Social Blade, or API‑based connectors to pull data into Google Sheets. You might paste channel IDs into a column and use IMPORTXML, or connect an add‑on that fetches stats on a schedule. This speeds things up, but you still have to gather channel URLs, manage formulas, fix breakages when sites change, and glue everything together.
With an AI agent, you describe your ideal influencers, share a blank Google Sheets template, and let the agent do the legwork. It searches YouTube, opens channels, evaluates fit, grabs subscriber counts, views, niche, and contact options, then logs everything neatly into your sheet.
Pros: huge time savings, repeatable workflows, and less manual error.
Cons: you must invest a bit of time upfront to define rules, set guardrails, and test the workflow so the agent consistently matches your targeting and respects platform policies.
At minimum, track channel URL, channel name, niche or topic, subscriber count, average views on the last 5–10 videos, posting frequency, and primary language. For outreach, add website, email or contact form, and social links. In Google Sheets, dedicate one column per field so your AI agent can fill data consistently and you can filter by metrics like minimum views, region, or category when building campaigns.
Start with keyword searches on YouTube related to your product or client niche. Sort by view count or recency, then open promising videos and click through to their channels. Add these channel URLs into a Google Sheets column named something like 'Seed channels'. You can then ask your AI agent to expand from that seed list by finding similar channels, suggested creators, or competitors, filling the sheet with new prospects and their stats.
Yes. Design your Google Sheets layout with a static ID column for each channel (channel URL or ID), then separate columns for current stats like subscribers and recent views. Schedule your AI agent to rerun the workflow weekly or monthly: it reads the existing IDs, revisits each YouTube channel, and updates only the metric columns. This way, your historical list stays intact while your performance data remains fresh for decisions.
Be explicit with rules. Define minimum subscriber and view thresholds, excluded topics, languages, and regions directly in your agent instructions. Provide 5–10 examples of ideal and non‑ideal channels inside your Google Sheet. Start with small batches and manually audit the output. When you spot issues, refine your prompts or sheet structure. Over a few iterations, your AI agent will become much more reliable at picking the right YouTube influencers.
Use Google Sheets filters to segment influencers: for example, mid‑tier channels with 10k–100k subscribers and high average views. Add columns for 'priority', 'campaign idea', and 'status'. Your AI agent can prefill draft email angles based on each channel's niche and best‑performing videos. You or your team then personalize the final outreach, track replies in the sheet, and quickly see which segments and pitches convert best.