QuickScrape

A simple Python library for extracting common data types from web pages.

Installation

pip install quickscrape

Usage

import quickscrape

# Extract emails from a webpage
emails = quickscrape.extract("email", "https://example.com/contact")

# Extract tables
tables = quickscrape.extract("table", "https://example.com/data")
# Get tables as pandas DataFrames
tables_df = quickscrape.extract("table", "https://example.com/data", output_format="dataframe")

# Extract multiple data types at once
results = quickscrape.extract(["email", "table"], "https://example.com")email", "https://example.com/contact")

# Extract tables
tables = quickscrape.extract("table", "https://example.com/data")

License

MIT

Development Workflow

1. Local Development: Install your package in development mode:

   pip install -e .
   

2. Testing : Use pytest for writing and running tests.

   pip install pytest
   pytest