MRskanner

MRskanner is a Python library designed for automating the process of identifying and extracting information from machine-readable data, particularly within the context of web scraping and data analysis. The library focuses on simplifying the detection and parsing of common data formats such as JSON, XML, and CSV, which are frequently encountered when retrieving data from online sources or from files. Its primary goal is to reduce the boilerplate code required to handle these varied data structures, allowing developers to concentrate more on the logic of their data extraction and manipulation tasks.

The functionality of MRskanner is built around the idea of intelligently inferring the data format based on its structure and content. This enables it to adapt to different sources without explicit configuration for each type. The library provides a unified interface for accessing parsed data, regardless of whether it originated as JSON, XML, or CSV. This abstraction layer is beneficial for projects that need to consume data from multiple sources with differing formats. MRskanner is often employed in web scraping projects where data is obtained through HTTP requests and is expected in one of these standard formats. Its ease of integration and straightforward API make it a practical choice for developers looking to streamline their data ingestion pipelines.