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Think of web data extraction as digital harvesting – it’s how we automatically collect and organize information from websites. When you browse online, you might manually copy and paste interesting information. Now imagine doing that for thousands of pages automatically! There are several types of data extraction methods that can convert unstructured web content into a structured format suitable for analysis. This process can gather various types of data:

Product information (prices, descriptions, reviews)
News articles and blog posts
Social media content and trends
Financial reports and market data
Customer reviews and feedback
Contact information and business listings
Research papers and academic content
Using specialized tools, like web scrapers, can help businesses automate the process of turning unstructured web content into datasets for further analyzing.

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  - extraction
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  - mining
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  - extraction
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  - mining
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  - scraping
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+ license: artistic-2.0
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+ datasets:
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+ - Forage-AI/data-store
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+ library_name: flair
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