Comprehensive SERP Data This dataset contains comprehensive search engine ranking data collected from Google and Bing, along with extracted technical and content features for analyzing search engine ranking algorithms. 📊 Dataset Overview Total Records : 14,465 search results Search Engines : Google (5,895 results) and Bing (8,570 results) Keywords : 500 diverse search queries Features : 20 features including technical scores, content analysis, and ranking metadata 🎯 Research Purpose This dataset was created to empirically characterize and compare the ranking environments of large scale search engines (Google and Bing) through systematic data collection and feature extraction. It enables research on: Search engine ranking algorithm analysis Cross engine comparison studies Technical SEO feature importance Content relevance analysis Ranking prediction modeling 📁 Dataset Structure Main Dataset File File : datasets/dataset.csv Format : CSV (Comma separated values) Encoding : UTF 8 Size : ~2MB Column Descriptions Search Metadata Column Type Description query string The search query used engine string Search engine (google/bing) position integer Ranking position (1 20) url string Full…
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