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Web Scraping and Review Analytics. Extracting Insights from Commercial Data

Author

Listed:
  • Andreea-Maria Tanasa

    (The Bucharest University of Economic Studies, Romania)

  • Simona-Vasilica Oprea

    (The Bucharest University of Economic Studies, Romania)

  • Adela Bara

    (The Bucharest University of Economic Studies, Romania)

Abstract

Web scraping has numerous applications. It can be used complementary with APIs to extract useful data from web pages. For instance, commercial data is abundant, but not always relevant as it is presented on websites. In this paper, we propose the usage of web scraping techniques (namely, two popular libraries – BeautifulSoup and Selenium) to extract data from web and other Python libraries and techniques (vaderSentiment, SentimentIntensityAnalyzer, nltk, n consecutive words) to analyze the reviews and obtain useful insights from this data. A web scraper is built in which prices are extracted and variations are tracked. Furthermore, the reviews are extracted and analyzed in order to identify the relevant opinions, including complaints of the customers.

Suggested Citation

  • Andreea-Maria Tanasa & Simona-Vasilica Oprea & Adela Bara, 2023. "Web Scraping and Review Analytics. Extracting Insights from Commercial Data," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 370-379, December.
    • Handle: RePEc:ovi:oviste:v:xxiii:y:2023:i:2:p:370-379
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    References listed on IDEAS

    as
    1. Boegershausen, Johannes & Datta, Hannes & Borah, Abhishek & Stephen, Andrew, 2022. "Fields of Gold: Web Scraping and APIs for Impactful Marketing Insights," Other publications TiSEM 5f1ed70a-48c3-422c-bc10-0, Tilburg University, School of Economics and Management.
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    More about this item

    Keywords

    web scraping; price tracking; sentiment analysis; alerts;
    All these keywords.

    JEL classification:

    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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