Decentralized Scraping Network

Scrape is pioneering a new paradigm at the intersection of Decentralized Physical Infrastructure Networks (DePIN) and Artificial Intelligence. Our platform addresses the critical challenges faced by AI developers in acquiring high-quality, diverse datasets while creating a fair, incentivized ecosystem for all participants.

The AI Data Crisis: A Growing Challenge

In today's AI development landscape, data acquisition has become increasingly problematic:

67% of organizations lack trust in their data, wasting hours weekly on manual cleanup
45% of professionals cite inconsistent data as a barrier to effective solutions
52% had concerns about the quality of the data used for model training and inference

Scrape leverages the collective power of user-provided IP addresses to create an ethical, decentralized network specifically optimized for AI data collection needs.

Current Market Solutions: Expensive, Complex, and Inefficient

Zyte

Complex Interface for Beginners: Steep learning curve for non-technical users
Scalability Challenges with Centralized Setup: Architecture creates bottlenecks during peak usage

Bright Data

Expensive Subscription Plans: Enterprise-focused pricing starting at thousands per month
Inconsistent Data Formats: Variable results depending on proxy availability and target sites

Grass

Limited AI-Specific Features: Not optimized for AI data collection requirements
Inefficient for High-Frequency Scraping: Performance issues with large-scale operations

Scrape: The Next Generation of AI Data Collection

Accurate, Model-Ready Data

Our platform is built from the ground up with AI development needs in mind:

Semantic filtering identifies and extracts precisely the data elements your models need
Automated labeling prepares data for immediate model ingestion
Multiple export formats including JSONL, TFRecords, and Parquet with 99% accuracy
Data validation ensures consistency and quality across diverse sources

Cost-Effective & Accessible

We're democratizing access to high-quality data collection:

Pay-as-you-go pricing eliminates expensive subscriptions
Microtransactions allow precise budgeting for exactly the data you need
Accessible entry point for small AI teams, researchers, and individual developers
Transparent fee structure with no hidden costs or surprise charges

Time-Saving Efficiency

Our platform streamlines your data collection workflow:

Automates data cleanup, saving 4+ hours weekly
Streamlines workflows by 50%
Real-time monitoring of collection progress and node performance
Comprehensive documentation and support resources for all experience levels

Incentivized & Ethical Ecosystem

Our token economy creates value for all participants:

SCRAPE tokens reward users for contributing their IP addresses to the network
Performance-based incentives for high-quality, reliable nodes
Revenue redistribution ensures node operators receive fair compensation
GDPR/CCPA-compliant data sourcing through ethical collection methods

User journey

Why Now? Why Scrape?

Scrape's decentralized scraping hub thrives in 2025 due to key trends and advancements that weren't aligned before:

AI Data Crisis Hits Hard

Traditional web scraping approaches are failing as sophisticated bot detection systems proliferate. Reddit's 2024 API lockdown, culminating in Google's exclusive $60M/year deal, exemplifies how centralized data sources are becoming inaccessible, leaving AI builders desperate for reliable, diverse data sources.

DePIN Proves Its Power

Projects like Grass (with over 3 million users) and BlockMesh have demonstrated that user-driven infrastructure networks can achieve massive scale and reliability. However, these platforms lack Scrape's specialized focus on AI-optimized data collection and processing capabilities.

Regulatory Push for User Control

Enhanced enforcement of GDPR, CCPA, and similar regulations in 2025 has created a strong preference for user-consented data collection methods. Scrape's transparent, opt-in model aligns perfectly with these requirements, providing a compliant alternative to increasingly problematic centralized proxy services.

Web3 and AI Convergence Accelerates

The integration of blockchain technology with artificial intelligence has created new possibilities for incentivized, transparent data ecosystems. Scrape sits at the forefront of this convergence, leveraging Solana's high-performance blockchain to enable microtransactions and fair value distribution.

Scrape Roadmap

Phase 1: Community Building (2025.5.1 - 2025.6.15)

Release Waitlist Form & Early User Adoption

Launch exclusive waitlist for early access to the Scrape platform
Implement tiered rewards system for early adopters and active contributors
Establish feedback channels and community forums for user-driven development
Begin targeted outreach to AI developers and research communities
Deploy initial documentation and educational resources

Phase 2: Beta Development (2025.6.15 - 2025.8.20)

Beta Release and Core Development

Release limited beta access to prioritized waitlist members
Implement core functionality including Chrome extension and basic task creation
Establish initial token distribution mechanisms and reward structures
Recruit specialized development talent to enhance AI-specific features
Conduct security audits and performance optimization
Gather and incorporate user feedback through iterative development cycles

Phase 3: Market Expansion (2025.8.20 - 2025.10.1)

Pre-Mainnet Release Marketing

Launch comprehensive marketing campaign highlighting Scrape's unique value proposition
Establish strategic partnerships with AI development platforms and educational institutions
Release case studies demonstrating successful implementations and cost savings
Host virtual and in-person workshops demonstrating platform capabilities
Expand documentation and support resources for diverse use cases
Finalize tokenomics and governance structures based on community input

Phase 4: Full Deployment (2025.10.1 - 2025.12.31)

Mainnet Release and Ecosystem Growth

Launch full production version of the Scrape platform
Activate complete token economy and incentive structures
Implement advanced features including custom filters and specialized data formats
Establish developer API for seamless integration with existing AI workflows
Deploy governance mechanisms for community-driven platform evolution
Begin scaling initiatives to expand node network and geographical coverage
Implement continuous improvement processes based on user feedback and performance metrics

Scrape