Twitter Media Scraper vs Stitch 2.0 by Google
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Stitch 2.0 by Google leads with 841 upvotes
Extract public X images, videos, and GIFs
Twitter Media Scraper is a powerful tool designed for marketers, researchers, and social media managers who want to effortlessly extract media content from Twitter/X. With no need to write complex scraper code, users can simply input tweet URLs, @handles, hashtags, or keywords to gather images, videos, and GIFs shared publicly on the platform. It not only collects media but also provides detailed information such as tweet text, author data, engagement metrics, and source links, making it ideal for content curation, sentiment analysis, and competitive research. Its user-friendly interface and comprehensive data export options make it accessible even for those with limited technical skills, while offering valuable insights for data-driven decision-making. What sets this tool apart is its focus on media extraction combined with rich metadata, streamlining social media analysis and content repurposing efforts.
Pros
- No coding required, easy to use interface
- Collects both media and associated metadata
- Supports bulk extraction via URLs, hashtags, or keywords
- Provides detailed engagement and source data
- Suitable for marketing, research, and content curation
Cons
- Limited information on pricing structure
- Potential API or rate limits for high-volume scraping
- Dependence on public tweets, excluding private content
Best for
- • Social media content aggregation for marketing campaigns
- • Monitoring brand mentions and hashtag performance
- • Collecting media for research or analysis projects
- • Competitor analysis by extracting media from competitors' tweets
Pricing: Likely operates on a freemium model with a free tier offering basic features, and paid plans providing higher volume limits and additional functionalities. Exact pricing details are not specified but are typically subscription-based for such tools.
Vibe design beautiful production-ready UI in seconds
Stitch 2.0 by Google is an innovative AI-native design tool that streamlines the creation of high-fidelity user interfaces. It empowers designers, developers, and product teams to generate beautiful, production-ready UI using natural language commands, voice, and context-aware agents. The platform supports designing across images, code, and text seamlessly within a single canvas, enabling users to iterate rapidly and produce prototypes instantly. Its integration of built-in design systems and the DESIGN.md format ensures consistency and efficiency, making the transition from idea to interface faster than ever. Ideal for teams seeking a smarter, more intuitive approach to UI design, Stitch 2.0 combines AI-driven automation with collaborative features to enhance productivity and creativity.
Pros
- AI-powered design generation for rapid prototyping
- Supports natural language, voice, and context-aware interactions
- Unified canvas for images, code, and text simplifies workflows
- Built-in design systems and DESIGN.md for consistency
- Fast iteration and collaboration features
Cons
- Relatively new with potential for ongoing feature development
- May require some learning curve for non-technical users
- Pricing details are not explicitly disclosed, which could impact budgeting
Best for
- • Rapid creation of UI prototypes for startups and product teams
- • Iterative design processes driven by natural language commands
- • Collaborative design sessions with remote teams
- • Maintaining design consistency across large projects
Pricing: Likely follows a freemium model with free tier options and paid plans starting around a moderate subscription fee, typical for AI-enhanced design tools. Exact pricing details are not publicly specified.