📊 SEO Search Results Dataset (SERP Data)

Filename: SEO_data.csv Size: 56.63 MB Rows: ~100,000+ Columns: 7 Language: Primarily English (may contain multilingual snippets)

🔍 Dataset Overview

This dataset contains structured data scraped from Google Search Engine Results Pages (SERPs), specifically curated for SEO and machine learning research. It includes search rankings and metadata for various keywords, capturing how websites rank and present their content on search engines.

🧾 Columns Description

Column Name	Description
words	The search keyword or query entered into Google
rank	The result's position on the search engine results page (1 = top)
title	The meta title of the page
h1	The primary <h1> tag from the page (if available)
snippet	The search result snippet/description shown on Google
links	The URL of the ranked result
total_result	The total number of search results Google reports for the query

📌 Use Cases

• Keyword ranking analysis
• SERP feature extraction
• SEO optimization insights
• Natural language processing (NLP) tasks on snippets, titles, and headings
• Predictive modeling for search rankings
• Trend analysis on keyword frequency and ranking shifts

📁 Example Record

words	rank	title	h1	snippet	links	total_result
Artificial intelligence	1	Beginning Your Journey to Implementing Artificial Intelligence	Beginning Your Journey...	Gérer les éditeurs grâce à des services...	https://www.softwareone.com/...	776,000,000

📎 Notes

• Multiple rows may exist for the same keyword due to multiple ranked results.
• Some values (like H1 or snippets) may occasionally be missing or partial due to scraping limitations.
• Useful for benchmarking search trends or training LLMs on SEO-related text features.

Enjoy