Automatically finds and collects Instagram users based on specific criteria. Benefits marketing teams by streamlining audience targeting and list building. Connects to Instagram API and integrates with mailing list tools.
git clone https://github.com/suphiyasin/instagram-advanced-user-finder.gitThe instagram-advanced-user-finder is an AI automation skill designed specifically for marketing professionals looking to enhance their social media strategies. This tool automates the process of collecting and scanning Instagram users, allowing marketers to quickly identify potential leads or influencers relevant to their campaigns. By leveraging this skill, users can streamline their outreach efforts and focus more on engagement rather than manual searches. One of the key benefits of the instagram-advanced-user-finder is its ability to save time in user discovery. While the exact time savings are not quantified, the automation of user collection means that marketers can allocate their resources toward more strategic tasks, such as content creation and campaign planning. This skill is particularly beneficial for those in roles such as social media managers, digital marketers, and product managers who need to identify and engage with the right audience efficiently. Practical use cases for this skill include identifying potential brand ambassadors, locating competitors’ followers for market analysis, or finding niche audiences for targeted advertising. For example, a digital marketing team could use this skill to compile a list of users who follow a competitor’s Instagram page, allowing them to tailor their marketing strategies accordingly. Given its intermediate complexity, users can expect to implement the skill within approximately 30 minutes, making it accessible for those with basic technical knowledge. Incorporating the instagram-advanced-user-finder into AI-first workflows can significantly enhance marketing efforts. As businesses increasingly rely on data-driven strategies, this skill aligns perfectly with the need for efficient workflow automation. By automating user discovery, teams can focus on analyzing data and optimizing their marketing tactics, ultimately leading to improved campaign performance and ROI.
["Define your criteria: Use the prompt template to specify [CRITERIA] (e.g., niche, follower count range, engagement rate threshold). Add [ADDITIONAL_FILTERS] like location, language, or hashtag usage.","Run the search: Paste the prompt into an AI tool (e.g., Claude, ChatGPT) with API access to Instagram. Ensure the tool has permissions to scrape public data.","Validate and clean data: Cross-check the CSV output for accuracy. Remove duplicates or inactive accounts (e.g., last post > 3 months ago).","Integrate with tools: Upload the cleaned list to your mailing list tool (e.g., Mailchimp) or CRM (e.g., HubSpot) for outreach. Use the engagement rates to prioritize contacts.","Monitor and refine: Track response rates from outreach. Adjust criteria (e.g., lower follower count threshold) if results are underperforming."]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/suphiyasin/instagram-advanced-user-finderCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Find and compile a list of Instagram users who [CRITERIA]. Focus on users who are [ADDITIONAL_FILTERS]. Use the Instagram API to scrape public profiles and include their usernames, follower counts, engagement rates, and contact emails (if publicly available). Organize the results in a CSV file with columns: Username, Follower Count, Engagement Rate, Bio, Email, and Last Post Date. Prioritize users who [PRIORITY_CONDITION].
```csv Username,Follower Count,Engagement Rate,Bio,Email,Last Post Date @fitnessguru42,125000,8.2%,"Certified nutritionist | Helping you build sustainable habits 💪",[email protected],2023-10-15 @travelwithlena,89000,12.5%,"Wanderlust explorer | Sharing hidden gems & travel tips ✈️",[email protected],2023-10-14 @bookishbelle,45000,5.8%,"Bookstagrammer | Reviewing indie & classic reads 📚",[email protected],2023-10-13 @techgeekdave,210000,6.1%,"Tech reviewer | Breaking down the latest gadgets 📱",[email protected],2023-10-12 @plantmomma,67000,15.3%,"Urban gardener | Sharing tips for thriving houseplants 🌿",[email protected],2023-10-16 ``` **Summary Report:** - **Total Users Found:** 5 - **Average Follower Count:** 107,200 - **Average Engagement Rate:** 9.58% - **Email Collection Rate:** 100% (all users had publicly listed emails) - **Top Engaged User:** @plantmomma (15.3% engagement) **Recommendations:** 1. **Outreach Priority:** Start with @plantmomma and @travelwithlena due to high engagement rates. 2. **Collaboration Opportunities:** @fitnessguru42 and @bookishbelle align with wellness and literary niches, ideal for sponsored content. 3. **Email Campaigns:** Use the collected emails to send personalized collaboration pitches or affiliate offers. 4. **Follow-Up:** Re-check engagement rates weekly to identify trending users for timely partnerships.
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