SCRAPR is a network-native data extraction platform that transforms any URL into a clean, structured API without using a browser. It solves the pain points of traditional web scraping by offering 10x faster speeds, zero maintenance, and AI-ready data infrastructure at a fraction of the cost.
Freemium
$49/mo
How to use SCRAPR?
Simply send a URL to SCRAPR's API, and it intercepts the site's network calls to return clean, structured data in JSON format within milliseconds. It can be used via REST API, CLI tool, webhooks, or official SDKs for Python, Node.js, Go, and Rust. This allows developers to automate data extraction from websites, PDFs, and feeds without writing complex parsing logic or dealing with browser overhead.
SCRAPR 's Core Features
Zero-browser architecture for 10x faster extraction speeds compared to tools like Puppeteer, with response times under 200ms.
Network interception technology that captures actual API calls from websites, eliminating brittle HTML selectors and maintenance headaches.
Supports extraction from various sources including webpages, PDFs, spreadsheets, and feeds, outputting to JSON, markdown, or XML.
Includes an action engine for automating interactive tasks like form filling, booking flights, and making reservations programmatically.
Offers multiple integration methods: REST API, CLI tool, webhooks for real-time notifications, and official SDKs for popular programming languages.
Enterprise-grade reliability with a 99.9% uptime SLA, scalable infrastructure, and dedicated support for high-volume users.
Cost-effective pricing model that is 1/10th the cost of traditional headless browser-based scraping solutions.
SCRAPR 's Use Cases
Developers and data engineers can automate the collection of product listings, news articles, or financial data from websites for analysis and reporting.
AI and machine learning teams can feed clean, structured data from the web directly into their models, preparing datasets for training without manual cleaning.
Business analysts can monitor competitor pricing, gather market research, or track social media sentiment by extracting data from multiple sources automatically.
Startups and SaaS companies can build features that rely on external data, such as travel booking comparisons or real estate listings, without building scrapers from scratch.
E-commerce managers can automate inventory tracking, price monitoring, and product information updates from supplier or competitor websites.
Researchers and academics can gather large datasets from online publications, academic journals, or government websites for quantitative analysis.
Marketing agencies can collect lead information, perform SEO analysis by scraping search results, or monitor brand mentions across the web.
SCRAPR 's Pricing
FREE
$0
1,000 requests/month, JSON output, community support, basic rate limits
