Wegweiser Schubert

Wegweiser Schubert is a data extraction tool that enables programmers to scrape websites, extract data, and store it in a database. This tool is named after Franz Schubert's famous song cycle, "Winterreise". Just as Schubert's song cycle guides listeners through the narrator's journey, Wegweiser Schubert guides programmers through website data extraction.

Features

Easy Setup

Wegweiser Schubert is easy to set up, allowing programmers to quickly begin extracting data from websites. Installation instructions can be found on the project's GitHub page.

Customizable Extraction Mode

Programmers can specify the extraction mode for Wegweiser Schubert. The tool can be set to extract data from specific websites or to crawl the entire website for data. This feature allows for flexible customization and targeted data extraction.

Data Storage Options

Wegweiser Schubert supports a variety of database options for storing extracted data. Programmers can choose from SQL, NoSQL, or flat file databases. Additionally, data can be stored on a local machine or in the cloud.

Intelligent Data Extraction

Wegweiser Schubert utilizes intelligent data extraction methods to minimize errors and maximize efficiency. The tool employs HTML parsing and regular expressions to extract desired data.

Flexible Output Formats

Extracted data can be output in a variety of formats, including CSV, JSON, and XML. This feature allows for easy data analysis and integration with other applications.

Usage

To use Wegweiser Schubert, programmers should first set up the tool by following the installation instructions on the project's GitHub page. Once installed, the tool can be configured for customized data extraction. Programmers can then extract data from websites using the configured extraction mode. Extracted data can be stored in a database of the programmer's choosing and output in a preferred format.

# Wegweiser Schubert

Wegweiser Schubert is a data extraction tool that enables programmers to scrape websites, extract data, and store it in a database. This tool is named after Franz Schubert's famous song cycle, "Winterreise". Just as Schubert's song cycle guides listeners through the narrator's journey, Wegweiser Schubert guides programmers through website data extraction.

## Features

### Easy Setup

Wegweiser Schubert is easy to set up, allowing programmers to quickly begin extracting data from websites. Installation instructions can be found on the project's GitHub page.

### Customizable Extraction Mode

Programmers can specify the extraction mode for Wegweiser Schubert. The tool can be set to extract data from specific websites or to crawl the entire website for data. This feature allows for flexible customization and targeted data extraction.

### Data Storage Options

Wegweiser Schubert supports a variety of database options for storing extracted data. Programmers can choose from SQL, NoSQL, or flat file databases. Additionally, data can be stored on a local machine or in the cloud.

### Intelligent Data Extraction

Wegweiser Schubert utilizes intelligent data extraction methods to minimize errors and maximize efficiency. The tool employs HTML parsing and regular expressions to extract desired data.

### Flexible Output Formats

Extracted data can be output in a variety of formats, including CSV, JSON, and XML. This feature allows for easy data analysis and integration with other applications.

## Usage

To use Wegweiser Schubert, programmers should first set up the tool by following the installation instructions on the project's GitHub page. Once installed, the tool can be configured for customized data extraction. Programmers can then extract data from websites using the configured extraction mode. Extracted data can be stored in a database of the programmer's choosing and output in a preferred format.