Generate Instagram Captions from Hashtag Analysis using Apify + GPT-4o-mini
Scrapes recent Instagram posts by hashtag using Apify and generates relevant caption ideas with GPT-4o-mini, analyzing real content patterns for authentic suggestions.
This n8n workflow automates the discovery of trending Instagram caption styles by scraping recent posts for a specified hashtag via Apify's Instagram Hashtag Scraper. It extracts captions from up to 20 posts, aggregates them, and feeds the data into GPT-4o-mini to generate new, on-brand caption ideas based on real-world patterns, avoiding fabricated suggestions.
Key benefits include time savings for marketing teams and content creators, who can quickly identify popular caption structures, emojis, calls-to-action, and tones without manual research. It ensures suggestions are grounded in current trends, helping maintain relevance and engagement on social media.
Ideal use cases: Social media managers brainstorming for niches like fitness, fashion, or tech; agencies scaling content for clients; influencers optimizing posts. Customize the hashtag easily, integrate your Apify token, and run manually or schedule for ongoing inspiration.
The workflow features a manual trigger, search term setter, Apify scraper, caption extractor, aggregator, and AI prompt node, making it robust yet user-friendly for non-technical users.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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