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Publisher DOI: 10.5281/zenodo.2572691
Title: What does Google recommend when you want to compare insurance offerings? : A method and empirical study considering Google's top search results
Language: English (United States)
Authors: Lewandowski, Dirk  
Sünkler, Sebastian 
Keywords: Search engines;Google;Search engine results pages;Web scraping;Data analysis;Results ranking
Issue Date: 19-Feb-2019
This dataset is part of a publication and shows Google's search results for German search queries on insurance comparison offerings.

Relevant search queries were extracted from a commercial search engine log file consisting of more than 640,000 different search queries. From the log, we extracted a variety of query formulations for the same topic, i.e., queries containing the same word or phrase. The selection was based on pre-defined keywords in the context of insurance comparisons. The queries from the log file were automatically selected by combining the terms "*insurance*" and "*comparison*" (including left as well as right truncation). Examples of such inquiries are "car insurance comparison", "occupational disability insurance comparison", "liability insurance in comparison". This procedure identified a total of 121 different search queries. Scraping of the results took place between 08.05. - 09.05.2018.The adress data were extracted by using a text classification algorithm and a crawler to find the contact data on a website.

It is a tab-separated file with the following attributes:

ID: Unique row identifier

ID Query: Unique search query identifier

Query: German search query

Position: Result position to the search query

URL: URL of the search result

Host: Host of the search result

Company: Name of the company on the website

Street: Street in the address on the website

Zipcode: Street in the address on the website

Location: Location in the address on the website

District: District in the address on the website

State: State in the address on the website

Country: Country in the address on the website
DOI: 10.48441/4427.264
Institute: Department Information 
Fakultät Design, Medien und Information 
Forschungsgruppe Search Studies 
Type: Dataset
Appears in Collections:Research Data (with datasets)

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