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feat(datasets): add 92 new dataset integrations Add platform-specific dataset classes for: - Luxury brands: Loewe, Berluti, Moynat, Hermes, Delvaux, Prada, Montblanc, YSL, Dior, Balenciaga, Bottega Veneta, Celine, Chanel, Fendi - E-commerce: Amazon (Reviews, Sellers), Walmart, Shopee, Lazada, Zalando, Sephora, Zara, Mango, Massimo Dutti, Asos, Shein, Ikea, H&M, Lego, Mouser, Digikey - Social media: Instagram (Profiles, Posts), TikTok, Pinterest (Posts, Profiles), YouTube (Profiles, Videos, Comments), Facebook Pages Posts - Real estate: Zillow, Airbnb, Australia Real Estate, Otodom Poland, Zonaprop Argentina, Metrocuadrado, Infocasas Uruguay, Properati, Toctoc, Inmuebles24 Mexico, Yapo Chile - Business data: Glassdoor (Companies, Reviews, Jobs), Indeed (Companies, Jobs), ZoomInfo, PitchBook, G2, Trustpilot, TrustRadius, Owler, Slintel, Manta, VentureRadar, Companies Enriched, Employees Enriched - Other: World Zipcodes, US Lawyers, Google Maps Reviews, Yelp, Xing Profiles, OLX Brazil, Webmotors Brasil, Chileautos, LinkedIn Jobs Total: 100 datasets now implemented (92 new + 8 existing)
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# Archived SDK versions and reference implementations
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archive/
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tests
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# Byte-compiled / optimized / DLL files
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__pycache__/

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