This n8n workflow automates the process of scraping Instagram posts based on hashtags, analyzing captions, extracting user profiles, and filtering influencers by follower count for targeted marketing or research. Starting with a list of hashtags stored in Google Sheets, the workflow constructs Instagram explore URLs and uses Apify to scrape hashtags’ posts. It then processes captions to extract keywords, identify language, and detect hashtag-only posts. Usernames from relevant posts are aggregated, deduplicated, and profiles are scraped to retrieve follower counts. Profiles within a specific follower range are filtered for further engagement or analysis. This workflow is ideal for social media marketers, researchers, or influencers seeking to identify key accounts in specific niches or languages.
Automated Instagram Hashtag and Profile Analysis Workflow
Node Count | 11 – 20 Nodes |
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Nodes Used | aggregate, code, googleSheets, httpRequest, if, manualTrigger, removeDuplicates, stickyNote |
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