Harvester: An easy-to-use Web Scraping tool.

Harvester is a lightweight, pure Python library designed for straightforward web scraping without external dependencies.

Features

• Pure Python: No third-party dependencies required.
• Model-Field structure: Define scraping targets using a clear, class-based approach.
• Flexible parsing: Use Python's standard libraries to parse and extract data.

Installation

Installing via pip:

pip install harvester

Or directly from the source code:

pip install git+https://github.com/blazaid/harvester

Requirements

Harvester is compatible with Python >= 3.8 versions. There are no mandatory external dependencies. However, for certain features, the chardet library may be beneficial. If chardet is not installed, those features will be bypassed with a warning.

Usage

Define your data models by subclassing Model and specifying fields:

from harvester import Model, StringField, IntegerField

class Product(Model):
    name = StringField()
    price = IntegerField()

Parse the HTML content and extract data using the model:

from harvester import parse_html

html_content = """
<html>
<body>
    <h1 class="product-name">Example Product</h1>
    <span class="product-price">100</span>
</body>
</html>
"""

mapping = {
    "name": "h1.product-name",
    "price": "span.product-price"
}

product = parse_html(html_content, Product, mapping=mapping)
print(product.to_dict())

This will output:

{"name": "Example Product", "price": 100}

Documentation

Comprehensive documentation is forthcoming and will be available on Read the Docs. In the meantime, the source code is the best place to find information.

Contributing

Contributions are welcome! Please review the issues for current topics and feel free to submit pull requests. Also make sure to read the contributing guidelines to get started.

License

Harvester is licensed under the GNU General Public License v3.0. See the LICENSE file detailed information.