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Brazil Dev Builds Resumable Pipeline to Scrape 153K Instagram Followers at Scale

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A Brazilian AI and automation consultant needed to extract over 153,000 followers from a public Instagram profile to identify business accounts for lead research. Because Instagram delivers follower data page by page, any large-scale extraction risks failing mid-run, forcing a costly restart from scratch. The developer built a resumable pipeline using n8n for orchestration and Supabase as the datastore, pulling followers in batches of up to 10,000 per cycle on a schedule. Third-party service HikerAPI was used to handle pagination, rate limits, and proxy management, completing over 100 requests in a single run. The author disclosed being part of HikerAPI's user-rewards program, which credits their account for posts describing the tool.

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