goker/comp-serp-data-v2

Comprehensive SERP Data (v2)

A reproducible dataset for studying how news-derived search terms propagate through multiple search engines, and how technical/content/accessibility signals vary across ranked results.

This repository contains:

• the query/keyword seeds,
• SERP indexing outputs,
• the derived feature dataset used for analysis,
• and documentation reports describing acceptance, outliers, and dataset health.

What’s inside (high level)

Core inputs (analysis seeds)

• keywords.csv: news headline–derived search terms and related metadata (title, url, section, pub_date, word_count, text_saved_path).
  (Report: ~3.3k rows; date range spans 2025-10 to 2026-01.)

Index & derived data products

• index.parquet: indexed SERP results (record-level index; includes engine, rank, url, collection metadata). Check the index_stats.md for more details.
• dataset-20260222_141303.parquet: final derived dataset used in analysis.

The dataset was generated from index.parquet with an acceptance configuration and optional outlier handling; see reports/ for full details.

Dataset snapshot (this release)

• Final dataset file: dataset-20260222_141303.parquet
• Generated: 2026-02-22
• Total records (final): 86,563
• Engines: Google, Brave, Mojeek
• Rank range: 1–20

Acceptance / filtering overview

The final dataset is produced by applying an acceptance policy (e.g., status=ok, HTTP 200, minimum content, required similarity fields, and required runtime/accessibility metrics). See:

• reports/dataset-20260222_141303.md (generation report)

Outliers & consistency

Outlier detection and extraction consistency checks are summarized in:

• reports/outlier_report.md

Repository structure (recommended)

├── data/
│   ├── keywords.csv
│   ├── index.parquet
│   └── dataset-20260222_141303.parquet
├── raw/        
│   ├── scraping/
│   ├── serp/
└── reports/
    ├── dataset-20260222_141303.md
    ├── extraction_*.md
    ├── index_stats.md
    └── outlier_report.md

How to use

Our collection, extraction, and analysis pipeline is available in the serp-profiler-kit repository.

License

This project is licensed under the MIT License - see the LICENSE file for details.