I’m looking for a fast, compliant scrape of public data from Facebook, Instagram, and reputable health-and-fitness websites. The goal is to build a clean seed file I can feed into Facebook and Google Ads for lookalike targeting. Scope • Extract information that indicates an interest in weight loss, fitness, or general wellness. • Focus on posts, page or group descriptions, hashtags, and article metadata—anything that clearly signals topical relevance without breaching platform terms. • Consolidate the findings into a single CSV (or Google Sheet) with columns for source URL, keyword/interest tag, brief context snippet, and any available engagement numbers. Key points • Purpose: the dataset will be used exclusively for creating highly targeted ad audiences. • Platforms: Facebook, Instagram, plus external health and fitness sites or blogs you identify. • I only need a basic, proof-of-concept scrape—enough rows to validate audience quality rather than exhaustive coverage.