Instagram Influencer Qualification Workflow

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This n8n workflow automates the process of identifying suitable Instagram influencers for collaborations based on their recent posts, followers count, and bio content. It starts with a manual trigger, setting a default hashtag for searching relevant posts. The workflow then uses Apify’s Instagram hashtag scraper to find recent posts associated with the hashtag. From these posts, it extracts account usernames and scrapes detailed profile data such as biography and follower count via another Apify API.

Next, it analyzes each profile using OpenAI’s GPT-4o-mini model through a custom prompt that assesses whether the influencer meets specific criteria, such as having at least 2,000 followers. The AI’s assessment is parsed into a structured format indicating ‘lead status’ (Yes or No) and the reasoning behind it. This workflow is ideal for social media managers or marketing teams wanting to automate influencer research and streamline collaboration outreach, saving time and improving targeting accuracy.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, httpRequest, manualTrigger, set, stickyNote

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