The intelligent API interface provided by pure.md breaks through the limitations of traditional crawlers by allowing users to precisely control the data extraction process through natural language commands. Based on LLM technology (using Llama 3.1-8B model by default), this feature understands the user's semantic needs and converts them into structured queries. Typical applications include: extracting news key events, generating content summaries, filtering specific data fields, etc.
The API is designed using RESTful architecture and supports JSON Schema to define the output format. In the sample request, the user can specify "list today's top 5 headlines" such as natural language prompts, the system will return JSON data in line with the predefined schema. Tests show that the development efficiency of this approach is 3 times higher than the traditional XPath/CSS selector , and lower maintenance costs .
The advanced features support direct conversion of extraction results into data formats suitable for AI training, such as converting news to QA pairs or knowledge graph triples. This intelligent interface is particularly suited to scenarios where web data needs to be quickly integrated into a machine learning pipeline.
This answer comes from the articlepure.md: insert "pure.md/" in front of the URL to extract clean text.The
