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TwitterThe data is obtained from Hellium10 which is a popular Amazon seller tool. Hellium10 is a reputable tool for many Amazon sellers and supplies a lot of data to analyze products, keywords, and markets.
Amazon does not share its data with third parties. Hence the data does not reflect the real values.
The data is about the most searched keywords in the Amazon Electronics Category. Is created in January 2024. Thus, it reflects the data before that time.
Data contains 21 columns with more than 4000 phrases with a lot of different details such as Search Volume, Fulfillment Type, Size Tier, and Variation.
Data is eligible for educational purposes. You can make Exploratory Data Analysis, Data visualization, and Data manipulation practices.
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TwitterA study conducted in Italy in 2024 shows what are the most searched keywords on Amazon.it within the personal care session. Collagen comes in first with ****** searches, followed by hair supplements with ******. Products containing hyaluronic acid were searched ****** times.
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TwitterA study conducted in Italy in 2024 shows the most searched product on Amazon.it within the skincare session. Facial masks and facial cleansers had the biggest numbers of searches, with ****** and ****** respectively. Korean products had over ****** searches.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This horizontal bar chart displays news by publication time using the aggregation count. The data is filtered where the keywords includes Amazon Science.
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TwitterA study conducted in 2024 shows the most searched products on Amazon.it within the body care session. In Italy, body cream was searched more than ** thousand times and its variation with scent over **** thousand times. Types of body scrubs were searched for more than ** thousand times altogether.
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TwitterRanked by Keyword the Web Search Data consists of:
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TwitterA study conducted in Italy in 2024 shows the most searched product on Amazon.it within the hair care session. The list shows Rosemary hair oil in first, being searched in some form over ** thousand times, followed by shampoo in general at almost ** thousand times.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This horizontal bar chart displays news by entities using the aggregation count. The data is filtered where the keywords includes Amazon Science.
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TwitterAttribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
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You will get an active email list for real and active buyers who make regular purchases through Amazon and other e-commerce sites. This email list contains 100% original email address. You can also use these emails to increase visits to your website, blog, or YouTube channel. I offer you now, a great treasure to use whenever you want.
So don't waste your time and start boosting your ecommerce business online.
The buyers will be from:
United States of America Canada Europe Union
$ There are no duplicate emails $ No fake IDs $ Audiences ready to buy
Product Lists
email marketing,emails,Email List,buyer
70150
$90.00
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
The Amazon Advertising Performance Metrics week dataset provides a comprehensive overview of the effectiveness of advertising campaigns run by sellers on Amazon. The dataset consists of various performance metrics for a particular week period, including search query, search query score, search query volume, impression total count, impression ASIN count, impression ASIN share, click total count, click rate, and click ASIN count.
The search query column contains specific keywords or phrases used by customers when searching for products on Amazon. The search query score is a numerical value that reflects the relevance of a particular search query to the products being advertised. The search query volume indicates the number of times a particular search query was used by customers during the given time period.
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A downloadable list of Amazon Bestseller categories and subcategories, along with the top 10 products in each category/subcategory.
Product Lists
ecommerce
361650
$30.00
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TwitterOpen Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
Dive into the vibrant world of gaming culture with the "Amazon Best Sellers 2024: Gaming Merchandise 🎮" dataset. This concise yet insightful collection features around 300 top-rated gaming merchandise items from Amazon, spanning a variety of categories from innovative gaming gear to quirky gamer-centric novelties. It's a snapshot of what's trending in the gaming community, offering a peek into the preferences of gamers in 2024.
Given its focused nature, this dataset is ideal for targeted analyses, such as: - Trend Identification: Pinpoint popular themes and items within the gaming merchandise space, identifying what resonates with the gaming community. - Brand Analysis: Assess which brands are leading in the gaming merchandise sector and how brand presence correlates with customer ratings. - Consumer Sentiment Analysis: Perform a qualitative analysis of the reviews and ratings to understand consumer satisfaction levels and common feedback themes.
title: The product name, reflecting the variety and creativity in gaming merchandise.brand: The producing brand, indicating the diversity in manufacturers catering to the gaming market.description: Detailed product descriptions (where available), providing deeper insights into the product features.stars & reviewsCount: Reflective of consumer opinions, these columns offer a quantitative measure of product popularity and quality.price/currency & price/value: While pricing data might be sparse, available entries can shed light on the pricing landscape for gaming merchandise.breadCrumbs: Product categorization data, useful for understanding how items are grouped on Amazon.asin: The unique identifier for each product, facilitating further individual product research.url: Direct links to the product pages, allowing for easy access to additional product details.This dataset aggregates publicly available information from Amazon, compiled with a commitment to ethical data practices, respecting user privacy and Amazon's data policies.
A heartfelt thank you to Amazon for being a treasure trove of data and a hub for gaming enthusiasts worldwide. This dataset celebrates the rich tapestry of gaming merchandise available on their platform.
Special thanks for the thumbnail image inspiration goes to an intriguing product listed on Amazon. For more details, visit the Geek Alerts Game Controller LED Backlight Decoration on Amazon.
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A downloadable product list for the top search results in the category of Appliances on Amazon
Product Lists
ecommerce
1958
$15.00
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TwitterAttribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
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A downloadable product list for the top search results in the category of Home & Kitchen on Amazon
Product Lists
ecommerce
4038
$15.00
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset was created by PromptCloud and Datastock. This dataset has a 30K record count. You can download the full dataset here.
This dataset contains the following:
We wouldn't be here without the help of our in house web scraping teams at PromptCloud and Datastock. Please feel free to reach out to us at marketing@promptcloud.com
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Keywords (with synonyms) and syntax used for literature search.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This pie chart displays news per news title using the aggregation count. The data is filtered where the keywords includes Amazon Science.
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TwitterA multidisciplinary repository of public data sets such as the Human Genome and US Census data that can be seamlessly integrated into AWS cloud-based applications. AWS is hosting the public data sets at no charge for the community. Anyone can access these data sets from their Amazon Elastic Compute Cloud (Amazon EC2) instances and start computing on the data within minutes. Users can also leverage the entire AWS ecosystem and easily collaborate with other AWS users. If you have a public domain or non-proprietary data set that you think is useful and interesting to the AWS community, please submit a request and the AWS team will review your submission and get back to you. Typically the data sets in the repository are between 1 GB to 1 TB in size (based on the Amazon EBS volume limit), but they can work with you to host larger data sets as well. You must have the right to make the data freely available.
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A downloadable product list for the top search results in the category of Automotive on Amazon
Product Lists
ecommerce
2503
$15.00
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TwitterAttribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
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This is a list of over 34,000 consumer reviews for Amazon products like the Kindle, Fire TV Stick, and more provided by Datafiniti's Product Database. The dataset includes basic product information, rating, review text, and more for each product.
Note that this is a sample of a large dataset. The full dataset is available through Datafiniti.
You can use this data to analyze Amazon’s most successful consumer electronics product launches; discover insights into consumer reviews and assist with machine learning models. E.g.:
A full schema for the data is available in our support documentation.
Datafiniti provides instant access to web data. We compile data from thousands of websites to create standardized databases of business, product, and property information. Learn more.
You can access the full dataset by running the following query with Datafiniti’s Product API.
{
"query": "dateUpdated:[2017-09-01 TO *] AND brand:Amazon* AND categories:* AND primaryCategories:* AND name:* AND reviews:*", "format": "csv", "download": true
}
**The total number of results may vary.*
Get this data and more by creating a free Datafiniti account or requesting a demo.
Facebook
TwitterThe data is obtained from Hellium10 which is a popular Amazon seller tool. Hellium10 is a reputable tool for many Amazon sellers and supplies a lot of data to analyze products, keywords, and markets.
Amazon does not share its data with third parties. Hence the data does not reflect the real values.
The data is about the most searched keywords in the Amazon Electronics Category. Is created in January 2024. Thus, it reflects the data before that time.
Data contains 21 columns with more than 4000 phrases with a lot of different details such as Search Volume, Fulfillment Type, Size Tier, and Variation.
Data is eligible for educational purposes. You can make Exploratory Data Analysis, Data visualization, and Data manipulation practices.