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.
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.
Act as an Instagram scraper tool. Extract the following data for [COMPANY] in the [INDUSTRY] sector: 1) Top 10 hashtags used by competitors, 2) Average engagement rate of their last 20 posts, 3) Most common posting times, and 4) Top 5 performing posts. Use [DATA] if available for more accurate results.
# Instagram Scraping Results for [COMPANY] ## Top 10 Hashtags Used by Competitors - #FashionBlogger - #StyleInspo - #OOTD - #Fashionista - #TrendyOutfits - #FashionAddict - #StyleGram - #FashionForward - #DressToImpress - #FashionLover ## Average Engagement Rate The average engagement rate of the last 20 posts is 4.5% with a standard deviation of 1.2%. The highest engagement was 7.8% on a post featuring a limited edition collaboration. ## Most Common Posting Times - Weekdays: 12:00 PM - 2:00 PM (37% of posts) - Weekdays: 7:00 PM - 9:00 PM (28% of posts) - Weekends: 10:00 AM - 12:00 PM (15% of posts) ## Top 5 Performing Posts 1. **Post**: Limited Edition Collaboration - Likes: 12,456 - Comments: 342 - Engagement Rate: 7.8% 2. **Post**: Behind the Scenes: Photoshoot Day - Likes: 9,876 - Comments: 210 - Engagement Rate: 6.2% ...
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