This article provides a step-by-step workflow for using Bright Data's scraping tools to collect influencer profiles, engagement metrics, and audience demographics from Instagram and TikTok. The author demonstrates how to filter KOLs by follower count, engagement rate, and niche, then export the data for analysis. Key highlights include handling API rate limits, rotating proxies, and structuring data for CRM integration. For startups and marketing teams expanding into overseas markets, this approach reduces manual research time and improves KOL targeting accuracy. The post also discusses compliance considerations, such as respecting platform terms of service and data privacy regulations. While the tool is commercial, the methodology is adaptable to other scraping frameworks. This is a timely resource for anyone building an influencer marketing pipeline for global audiences.
A practical guide on using Bright Data to batch collect influencer data from Instagram and TikTok for overseas KOL selection.