Skrape

Skrape is a powerful and developer-friendly web scraping API that leverages Large Language Models (LLMs) to extract clean, structured data from any website. It is specifically engineered to streamline the process of data collection for modern AI applications, such as Retrieval-Augmented Generation (RAG) systems, model fine-tuning, and in-depth data analysis. The service can transform complex web pages, including those with dynamic JavaScript-rendered content, into neatly formatted markdown or structured JSON data according to a user-defined schema.

The core philosophy of Skrape is to simplify web data extraction. Instead of dealing with complex HTML parsing, anti-scraping measures, or managing proxies, developers can use a simple API call to get the data they need. The platform is built for reliability and scale, ensuring that users always receive fresh, real-time data without any caching.

How to use Skrape

Using Skrape is straightforward and designed for a seamless developer experience. Here's the typical workflow:

1. Sign Up & Get API Key: First, create an account on the Skrape website. You can start with a free trial that provides 50 credits without requiring a credit card. Upon signing up, you will receive an API key from your dashboard.
2. Authentication: All API requests must be authenticated using a Bearer Token. You need to include your API key in the `Authorization` header of your requests (e.g., `Authorization: Bearer YOUR_API_KEY`).
3. Choose an Endpoint: Skrape offers several API endpoints based on your needs:
   • /api/markdown: Converts a single webpage into clean markdown.
   • /api/extract: Extracts structured JSON data from a webpage based on a Zod schema you provide. This allows for type-safe, precise data extraction.
   • /api/crawl: Crawls an entire website, following links to gather data from multiple pages efficiently.
4. Make the API Call: Use your preferred HTTP client or Skrape's official SDKs (available for Node.js and Python) to make requests to the API. For example, to extract data, you would define your desired data structure as a schema and pass it along with the target URL to the `/api/extract` endpoint.
5. Process the Results: The API returns the extracted data in the format you requested—either clean markdown or structured JSON. The service also supports background job processing for long-running tasks, and you can check the job status via the `/api/get-job` endpoint.

Core Features of Skrape

• LLM-Powered Smart Extraction: Define your desired data structure using a schema, and the AI will intelligently extract and format the information into structured JSON.
• Smart Crawling: Automatically crawls entire websites, even those without sitemaps, while respecting `robots.txt` rules to ensure ethical scraping.
• Dynamic Content Handling: Fully supports JavaScript rendering, allowing it to handle Single Page Applications (SPAs) and other dynamic content that traditional scrapers struggle with.
• Clean Markdown Conversion: Converts any webpage into perfectly formatted, clean markdown, ideal for RAG systems and knowledge bases.
• API Actions: Can perform actions on a page like clicking buttons, scrolling, and waiting for specific content to load before extraction.
• Real-Time Data: Skrape does not cache content, ensuring you always get the freshest, most up-to-date data directly from the source.
• Developer-Friendly: Offers official SDKs for Node.js and Python, comprehensive API documentation, and a consistent error-handling format.

Use Cases for Skrape

Skrape is versatile and can be applied to a wide range of data collection tasks:

• RAG-Ready Data Collection: Transform websites into clean, structured datasets with automatic metadata extraction, perfect for feeding into Retrieval-Augmented Generation applications.
• AI Training Data Pipeline: Automate the collection of diverse, high-quality, multi-language datasets for fine-tuning language models and other AI applications.
• Knowledge Base Building: Create comprehensive knowledge bases by scraping technical documentation, API references, tutorials, and research papers from multiple sources.
• AI Content Monitoring: Keep up-to-date with the latest industry trends by tracking and collecting AI-related news, research, and technical blogs.
• Model Evaluation Data: Gather real-world data from various domains to benchmark and evaluate the performance of your LLMs.

Advantages of Skrape

Skrape offers a significant edge over traditional web scraping methods. Its main advantages include its simplicity, power, and reliability. The API-first approach abstracts away the complexities of web scraping, allowing developers to focus on using the data. The use of LLMs for extraction provides superior accuracy and flexibility compared to brittle CSS-selector-based methods. Furthermore, its ability to handle dynamic content and provide clean, ready-to-use output saves significant development time and effort.

Pricing and Plans

Skrape offers a transparent, credit-based pricing model designed to scale with your needs.

• Free Trial: Get started with 50 free credits to test the service. No credit card is required.
• Starter Plan: $15/month for 3,000 credits. Ideal for small projects and individual developers.
• Growth Plan: $50/month for 10,000 credits. Suited for growing teams with increased usage needs. Includes priority support.
• Pro Plan: $250/month for 50,000 credits. Designed for businesses and teams with high-volume requirements. Includes priority support and custom rate limits.

Credit Usage:

• HTML to Markdown: 1 credit per page
• Web Crawling: 1 credit per page
• AI Data Extraction: 5 credits per page