Dataset: Technical and Content Attributes of Google & Bing SERPs for Discount Queries
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Comprehensive SERP Data
This dataset contains 14,465 search results collected from Google (5,895) and Bing (8,570), across 500 diverse queries.
Each record includes ranking metadata, technical features (Lighthouse scores), and content features (query matching, semantics, word count).
Highlights
- Engines: Google & Bing
- Queries: 500, covering e-commerce, services, information, and local search
- Features: 20 technical & content attributes (performance, accessibility, SEO, semantic similarity, etc.)
- Ranking Tiers: High (1-5), Medium (6-10), Low (11-20)
- Clusters: 6 groups of ranking profiles (K-means)
Research Use Cases
- Search engine ranking algorithm analysis
- Cross-engine comparison (Google vs Bing)
- Feature importance for SEO & accessibility
- Ranking prediction modeling
📂 Raw Data and Dataset are hosted on Hugging Face:
git clone https://hf.co/datasets/goker/comp-serp-data