3 datasets found
  1. iHERB web scraping

    • kaggle.com
    Updated Mar 27, 2020
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    roaa_bader (2020). iHERB web scraping [Dataset]. https://www.kaggle.com/datasets/roaabader/iherb-web-scraping
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 27, 2020
    Dataset provided by
    Kaggle
    Authors
    roaa_bader
    Description

    Web scraping sport products from iHerb website

    iHerb, a retails nutrition and healthcare products, provides supplements, herbs, bathing and beauty products, grocery, kids accessories, and sports goods. iHerb serves customers worldwide. extracting sport products from iHerb including the brand name, price, rating, and review number of each product .

    Web scrape the website:

    iHerb website was extracted using Beautiful soup. saving the extracted into Dataframe. performing EDA and cleaning on the data.

    Datasets content

    brand_name product rating reviews prices currency

  2. c

    iHerb uk products data and images

    • crawlfeeds.com
    csv, zip
    Updated May 29, 2025
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    Crawl Feeds (2025). iHerb uk products data and images [Dataset]. https://crawlfeeds.com/media_datasets/iherb-uk-products-dataset
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    May 29, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    Explore the "iHerb UK Products Data and Images" dataset, a detailed resource offering insights into the diverse range of health and wellness products available on the UK version of iHerb.com.

    This dataset provides comprehensive data on various products, including supplements, vitamins, beauty items, personal care products, and more, along with high-quality images for each item.

    Key Features:

    • Extensive Product Listings: Features a broad selection of health and wellness products available on iHerb UK, giving a thorough overview of the diverse product range across multiple categories.
    • Detailed Information: Each product listing includes key details such as product names, brands, categories, descriptions, prices, ingredients, customer reviews, and ratings, along with high-resolution images for visual reference.
    • Insights into Market Trends: Analyze trends in the health and wellness market specific to the UK, including popular product categories, leading brands, customer preferences, and pricing strategies.
    • Ideal for Research and Analysis: This dataset is perfect for researchers, data analysts, e-commerce professionals, and marketers interested in studying consumer behavior, understanding market dynamics, or optimizing product offerings in the UK health and wellness sector.

    The iHerb UK Products Data and Images dataset offers valuable insights into the health and wellness market, making it an essential resource for businesses, researchers, and consumers. Use this dataset to stay updated on market trends, explore consumer preferences, and gain a comprehensive understanding of the UK health and wellness market on iHerb.

  3. c

    iherb products dataset

    • crawlfeeds.com
    csv, zip
    Updated Aug 26, 2024
    + more versions
    Share
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    Click to copy link
    Link copied
    Close
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    Crawl Feeds (2024). iherb products dataset [Dataset]. https://crawlfeeds.com/datasets/iherb-products-dataset
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Aug 26, 2024
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    Explore the "iHerb Products Dataset," a valuable resource that provides detailed insights into the extensive range of health and wellness products available on iHerb, a leading online retailer specializing in natural products.

    This dataset includes comprehensive information about various products, including supplements, vitamins, beauty products, and personal care items.

    Key Features:

    • Extensive Product Listings: Contains a wide variety of health and wellness products, offering a broad overview of the items available on iHerb across different categories.
    • Detailed Information: Each product entry includes essential details such as product names, brands, categories, descriptions, prices, ingredients, customer reviews, and ratings.
    • Insights into Market Trends: Analyze trends in the health and wellness market, including popular product categories, top-rated brands, customer preferences, and pricing strategies.
    • Ideal for Research and Analysis: This dataset is perfect for researchers, data analysts, and e-commerce professionals interested in studying consumer behavior, understanding market trends, or optimizing product offerings in the health and wellness sector.

    The iHerb Products Dataset offers valuable insights into the diverse range of health and wellness products, making it a crucial resource for businesses, researchers, and consumers alike. Utilize this dataset to stay updated on market trends, explore consumer preferences, and gain a deeper understanding of the health and wellness market dynamics.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
roaa_bader (2020). iHERB web scraping [Dataset]. https://www.kaggle.com/datasets/roaabader/iherb-web-scraping
Organization logo

iHERB web scraping

web scraping iHerb sport products

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Mar 27, 2020
Dataset provided by
Kaggle
Authors
roaa_bader
Description

Web scraping sport products from iHerb website

iHerb, a retails nutrition and healthcare products, provides supplements, herbs, bathing and beauty products, grocery, kids accessories, and sports goods. iHerb serves customers worldwide. extracting sport products from iHerb including the brand name, price, rating, and review number of each product .

Web scrape the website:

iHerb website was extracted using Beautiful soup. saving the extracted into Dataframe. performing EDA and cleaning on the data.

Datasets content

brand_name product rating reviews prices currency

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