skrollerAutomate scraping and filtering of public social media posts with keyword search, engagement filters, deduplication, and export to JSON, CSV, or notes apps.
Install via ClawdBot CLI:
clawdbot install 10oss/skrollerGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
post → https://twitter.com/...Potentially destructive shell commands in tool definitions
eval(Calls external URL not in known-safe list
https://twitter.com/...Uses known external API (expected, informational)
api.github.comGenerated Mar 22, 2026
Marketing agencies can use Skroller to track brand mentions, analyze competitor content, and monitor campaign performance across platforms like Twitter, Instagram, and LinkedIn. This enables real-time insights into audience engagement and helps optimize marketing strategies based on trending topics and user feedback.
Researchers in sociology or media studies can leverage Skroller to collect publicly available social media data for analyzing trends, sentiment, or discourse patterns. By filtering content by keywords and dates, they can archive and study posts for longitudinal analysis while ensuring compliance with ethical guidelines and data protection laws.
Startups can use Skroller to monitor competitors' activities on platforms like Product Hunt, GitHub, and Medium, tracking product launches, user feedback, and content strategies. This helps identify market gaps, benchmark performance, and inform product development decisions through automated data collection and export to note apps for analysis.
Individuals can employ Skroller to scrape and curate content from platforms like Reddit, YouTube, and Pinterest for personal learning or project research. By exporting filtered posts to note-taking apps like Obsidian or Bear, users can build organized archives of information for reference and analysis, enhancing productivity and knowledge retention.
Offer a cloud-based service where businesses subscribe to access Skroller's capabilities for ongoing social media monitoring and analysis. Revenue is generated through tiered pricing based on features like platform support, data volume, and integration with note apps, targeting small to medium enterprises needing competitive insights.
Provide consulting services to help organizations implement Skroller for specific use cases, such as compliance audits or custom data pipelines. Revenue comes from project-based fees for setup, training, and integration with existing tools like CRM systems or analytics dashboards, catering to larger enterprises with complex needs.
Distribute Skroller as a free open-source tool for basic scraping, with premium features like advanced filtering, multi-platform exports, and dedicated support available for a fee. Revenue is generated through one-time purchases or licenses for enhanced functionality, appealing to individual researchers and small teams looking to scale their usage.
💬 Integration Tip
Ensure compliance with platform terms of service by configuring rate limits and using browser automation cautiously; integrate with note apps by setting up API keys or local vault paths in the configuration file for seamless data export.
Scored Apr 19, 2026
Audited Apr 18, 2026 · audit v1.0
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