What is Web Search Data?
Web search data is information generated by users when they perform searches on search engines like Google, Bing, or Yahoo. It includes the search terms or keywords used, the time and date of the search, the user’s location, and sometimes their IP address. This data is collected and analyzed to improve search engine algorithms, personalize search results, and provide insights into user behavior and trends.
Examples of web search data include search queries, search results, click-through rates, user demographics, and browsing behavior. Web search data is used for various purposes such as improving search engine algorithms, understanding user behavior and preferences, targeting advertisements, and conducting market research. In this page, you’ll find the best data sources for web search data on Datarade, the leading online data search platform.
Best Web Search Databases & Datasets
Here is our curated selection of top Web Search Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Google SERP Data, Web Search Data, Google Images Data | Real-Time API
Success.ai | Web Search Data – Real-Time Insights, Trends & Purchase Intent Data – Best Price Guarantee
Xverum SERP Data | Web search data | Global Web Data | Real-time API | Web data extraction | 95% complete and structured Google data
SERP Data, Google SERP Data, SERP API, SERP Google API, SERP Web Scraping, Scrape All Search Engine Data - Google | Bing| Yahoo | Baidu
Web Scraping Data | Web Data Extraction | Web Data | Web Activity Data
Dappier | Global Web Search Data | RAG API, LLM Compatible | Real-Time Updates | Unlimited Data
PredSearch | Web Search Data, Keyword Data, Online Search Trends Data | Amazon, Google, TikTok - 2 years history | Global coverage | +500k/w keywords
TagX Web Scraping Data | Web data extraction | Scrape Ecommerce websites | Data from all popular domains | Global web data | 100% compliant
Scale SERP API | Google Search Results Data
Serpstat: Google Keyword Data Scraping API | Real-time | All locations | Historical Search Volume
Monetize data on Datarade Marketplace
Popular Use Cases for Web Search Data
Web Search Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Web Search Data.
Main Attributes of Web Search Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a country. | View 6 datasets | |
| String | The name of a language as per ISO 639. | View 5 datasets | |
| String | A unique identifier for a person, mainly used for user identification within the user's home organization | View 4 datasets | |
| String | The name of a city. | View 3 datasets | |
| String | The domain name of a company website. Potential ID to match company records. | View 3 datasets | |
| String | The Uniform Resource Locator (URL) is the resource address on the internet. | View 3 datasets |
Frequently Asked Questions
How is Web Search Data collected?
Web search data is collected by search engines through the process of crawling and indexing web pages. When users enter search queries, search engines gather data on the queries, click-through rates, user locations, search settings, and other relevant information.
What’s a quality checklist for Web Search Data?
A quality checklist for web search data includes ensuring accurate and comprehensive data collection, anonymization of personal information, adherence to privacy regulations, reliable data storage and security measures, and transparency in data sourcing and methodology.
How is Web Search Data priced?
Web search data is typically priced based on factors such as data volume, data freshness, data quality, and the specific use case. Pricing models can include subscription-based plans, pay-per-use models, or customized pricing based on individual requirements.
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