Buy Online Search Trends Data

Online search trends data is information that gives an account of the most popular search terms in search engines, such as Google. This data shows the most searched topics on the internet and patterns emerging in search counts. Datarade helps you find online search trends APIs. Learn more →
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Our Data Partners
Search Engine Data
by Traject Data
1M Keywords
249 countries covered
Results for search queries including: organic, ads, and rich snippet SERPs data
3K users
6 months of history data
The search query, search/ads result, clicked search/ads result of top Google, Yahoo, ASK, AOL, Bing, Baidu, and Duckduckgo
2020 U.S. Election Dataset
by Traject Data
1 country covered
4 months of history data
A collection of SERP data stemming from search queries for the 2020 U.S. Election across a variety of U.S. states and metros.
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Based in Finland
Swash is a browser plugin that collects Search & Click Feed, Navigation Feed, Transaction Feed data across major domains. We provide zero-party consumer d...
Collection methods
Datastream Group
Based in USA
Our Dedicated team is ready to create an innovative data solution that is tuned to your business needs.
large quantities
constantly updated & verified
250M +
Full consumer profiles
Based in Singapore
Lifesight is a data & analytics company specializing in customer intelligence. We collect, enrich and distribute high quality online and offline consumer beh...
3.6 B
Event per Day
1.2 B
Consumer Profiles
Brands Tracked
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The Ultimate Guide to Online Search Trends Data 2021

Learn everything about Online Search Trends Data. Understand data sources, popular use cases, and data quality.

As search engines have become the center stage for internet activities, online search trends have become one of the factors that drive internet usage. Search trends offer access to an unfiltered sample of actual search requests that internet users make on a search engine or a specific website. Online search trends enable a search engine or website to display interest in a topic from across the world or can be narrowed down to city level geographic boundary. This data outlines the search interest of a search term.

Search engines such as Google handle billions of searches on any given day. Through the monitoring and indexing of online activities by internet users, these search engines filter the entire data through sampling to narrow down and have a dataset that is representative of all the searches that have internet users make online. By indexing, it is easier for these search engines to process the dataset and give an overview of events that are taking in the real world based on the indexed search information.

The core attributes of online search trends data is the identification of the dataset based on the geographical location, time range, and category, and data source. Geographical location range is a feature that highlights search trends based on country-specific, regional, or worldwide searches. The time range is an important aspect that reflects a trend in time on the popularity of search terms. The category and data sources are also important aspects that show the classification of search terms.

Online search trends data is a critical tool that helps businesses, marketers, researchers, and other users to ascertain the ins and outs of trends that matters to them for every unique situation. Some of the benefits and use cases of online search trends include:

• Market research for marketers to understand the trends that can they can tailor for sales and marketing needs
• Product research for customers that are looking to buy a product or service
• Research for Search Engine Optimization (SEO) to help site owners rank high in search results
• Internet users can determine the trend variations per geographical location hence discovering local differences in search patterns
• Online search trends are also crucial for users to evaluate ideas for content marketing and social media marketing.

In assessing the quality of online search trends data, users can ascertain how best the data capture trend activities over a given period. Timeliness helps a user to evaluate the trends of search terms over a given period and determining the latest trends that can provide a real-time view of the searched topics. Another quality aspect is how effectively the data filters out irregular online search activities that may not reflect the actual trends. Some of these non-conforming search activities may be automated searches or queries that may be related to spamming efforts. As such, the source of this data should be able to detect and filter irregular activities and present data that are complete, accurate, and valid.

Finding the right Online Search Trends Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Online Search Trends Data providers that you might want to buy Online Search Trends Data from are Swash, Datastream Group, Lifesight, datacy, and The Data Appeal Company.

Data providers and vendors listed on Datarade sell Online Search Trends Data products and samples. Popular Online Search Trends Data products and datasets available on our platform are Search Engine Data by Traject Data, Users searching data on top search engines by Swash, and 2020 U.S. Election Dataset by Traject Data.

You can get Online Search Trends Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Online Search Trends Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Online Search Trends Data APIs, feeds and streams to download the most up-to-date intelligence.

Online Search Trends Data is similar to Semantic Website Data, News Data, IP Address Data, SEO Data, and App Store Data. These data categories are commonly used for Search Engine Optimization (SEO) and Online Search Trends Data analytics.

The top use cases for Online Search Trends Data are Search Engine Optimization (SEO), Consumer Trend Analysis, and Trend Analysis.