Traject Data: Historical Search Engine Data - Sample

This is a 1-billion-record sample of the full dataset Historical Search Engine Data 05.2020-Present, randomized by rank date.

The Historical Search Engine Data 05.2020-Present is a complete offering of our search engine results page (SERP) data from May 2020 through the last day of the previous month across the top search engines.

Analyze search performance at scale. Fuel your data analytics with the most powerful SEO data available. Gain access to every rich search feature needed to accurately measure your SEO performance.

With the most comprehensive set of daily SERP data points, Traject Data's SERP API makes it easy to track rankings and discover SERP feature opportunities. Pull raw search results data from our system into yours; queue up a keyword, search engine and location combination, and we’ll return the top ~100 results in JSON, CSV and/or HTML format. From there, parse out rankings and data mine the full SERP list.

What does Traject Data include?
- The top 100 Google, Yahoo, and Bing SERP listings of each query
- Every data attribute as they appear on the page for a given keyword
- SERPs data by device type, desktop, or mobile
- Local SERPs data by any geolocation
- Organic and paid results
- Rich snippets: Featured Snippets, Knowledge Panel, Local 3 Pack, and more
- Image, Video, News and Shopping packs

Who uses Traject Data?
Traject Data is leveraged by marketers, data scientists and data engineers, SEO specialists, advertising agencies, digital marketing teams, enterprises, and SaaS platforms.

Anyone in your organization who works with your digital presence can develop business intelligence and strategy using this SERPs data.

搜集汇总

背景与挑战

背景概述

该数据集是历史搜索引擎数据的10亿条样本，涵盖2020年5月至今的搜索结果页信息。它提供多平台、多设备的详细搜索数据，支持SEO性能分析和搜索特征挖掘，适用于营销、数据分析等专业场景。