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A simple library for extracting common data types from web pages

Project description

QuickScrape

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

Installation

Not available yet

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
    

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