instagram scraper tool automated insights
git clone https://github.com/Z786ZA/instagram-scraper-tool.gitThe Instagram Scraper Tool is an advanced Claude Code skill designed to automate the process of gathering insights from Instagram. This tool enables users to extract valuable data such as follower counts, engagement metrics, and post performance without manual effort. By leveraging AI automation, it simplifies the data collection process, allowing marketers to focus on strategy rather than tedious data entry. One of the key benefits of the Instagram Scraper Tool is its ability to save time and enhance marketing strategies. While the exact time savings are currently unknown, users can expect significant efficiency improvements by automating data extraction. This skill is particularly beneficial for marketers, product managers, and AI practitioners who require timely insights to inform their campaigns and decision-making processes. With a moderate implementation time of just 30 minutes, it is accessible for those with intermediate technical skills. This tool is ideal for professionals in marketing departments looking to optimize their social media strategies. For instance, a product manager could use the Instagram Scraper Tool to analyze competitors' engagement rates, helping to refine their own content strategy. Similarly, marketers can track influencer performance over time, allowing for data-driven decisions when selecting partnerships. The practical applications of this skill are vast, making it a valuable addition to any marketing toolkit. As businesses increasingly adopt AI-first workflows, the Instagram Scraper Tool fits seamlessly into this paradigm. It allows teams to integrate automated insights into their existing processes, enhancing overall productivity. By incorporating this AI agent skill into their marketing strategies, organizations can gain a competitive edge in a data-driven landscape. With its focus on workflow automation, the Instagram Scraper Tool is a must-have for those looking to leverage AI for enhanced marketing performance.
["Identify the Instagram profile handle you want to analyze and replace [PROFILE_HANDLE] in the prompt. Specify the time period for analysis (e.g., [TIME_PERIOD] = 'last 3 months').","Use an Instagram scraping tool like [Phantombuster](https://phantombuster.com/), [Octoparse](https://www.octoparse.com/), or [Apify](https://apify.com/) to extract the raw data (follower count, posts, hashtags, etc.). Ensure you comply with Instagram’s Terms of Service and use official APIs or approved third-party tools.","Paste the extracted data into the AI tool (e.g., ChatGPT, Claude) along with the prompt. If the data is large, summarize key metrics (e.g., top 10 posts, hashtag performance) to avoid overwhelming the AI.","Review the AI’s analysis and recommendations. Cross-check the insights with Instagram Insights or a tool like [Social Blade](https://socialblade.com/) for accuracy.","Implement the recommendations gradually (e.g., test one change per week) and use Instagram’s built-in analytics or third-party tools to measure the impact. Adjust the strategy based on performance data."]
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/Z786ZA/instagram-scraper-toolCopy 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.
Extract and analyze Instagram profile data for [PROFILE_HANDLE] including follower count, engagement rate, top-performing posts, hashtag usage, and audience demographics. Focus on identifying trends in content performance and suggest 3-5 actionable improvements for their content strategy. Use [TIME_PERIOD] for analysis (e.g., last 30 days, last 6 months).
### Instagram Profile Analysis: @Gymshark **Overview:** Gymshark (@Gymshark) is a fitness apparel brand with 5.2M followers, showing a 3.8% monthly follower growth rate. Their engagement rate stands at 4.2% (likes + comments per post), which is above the industry average of 2.5% for fitness brands. Over the past 6 months, their top-performing post was a video featuring athlete @LanaLawless with 1.2M likes and 28K comments, achieving a 15.3% engagement rate. Their content strategy heavily relies on user-generated content (UGC) and influencer collaborations, with 68% of posts featuring branded hashtags like #Gymshark or #GymsharkAthlete. **Key Insights:** 1. **Content Mix:** 45% of posts are product-focused, 35% are lifestyle/aspirational, and 20% are behind-the-scenes or team content. The lifestyle content consistently outperforms product posts by 2.1x in engagement. 2. **Hashtag Performance:** The hashtag #GymsharkAthlete drives 3x more engagement than #Gymshark, suggesting that audience connection to athletes is stronger than to the brand itself. 3. **Posting Frequency:** Gymshark posts 5-7 times per week, primarily between 6-9 AM and 7-10 PM (GMT), with peak engagement occurring at 8 PM on weekdays. 4. **Audience Demographics:** 62% of followers are aged 18-34, with a near-even split between male (51%) and female (49%) audiences. Top locations are the US (42%), UK (18%), and Australia (12%). **Actionable Recommendations:** 1. **Double Down on Influencer Collaborations:** Expand partnerships with micro-influencers (10K-100K followers) in niche fitness communities. These accounts typically have 2-3x higher engagement rates than macro-influencers and can drive more authentic connections. 2. **Optimize Posting Schedule:** Shift 30% of content to 11 AM-1 PM (GMT) on weekends, where engagement rates for Gymshark’s audience increase by 18% compared to weekdays. 3. **Repurpose Top-Performing Content:** Create Instagram Reels or Stories from the highest-engaging posts (e.g., the @LanaLawless video) to extend their reach. Reels currently account for only 12% of Gymshark’s content but drive 40% of total engagement. 4. **Leverage Hashtag Strategy:** Increase usage of high-performing hashtags like #GymsharkAthlete by 50% and introduce 2-3 new branded hashtags (e.g., #GymsharkCommunity) to foster user-generated content. 5. **A/B Test Content Types:** Experiment with more behind-the-scenes and team content, which currently underperforms but could resonate with audiences seeking authenticity. Test a "Day in the Life" series featuring Gymshark employees to gauge interest. **Next Steps:** - Use Instagram Insights or tools like Hootsuite to track the impact of these changes over the next 30 days. - Monitor engagement rates weekly to identify any dips or spikes and adjust the strategy accordingly. - Consider running a giveaway or challenge using a new hashtag (e.g., #GymsharkChallenge) to boost engagement and follower growth.
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