Datahut Amazon Product Data Feeds for North America, South America & Asia (data as a service)
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Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
| String | https://www.amazon.in/Timewear-Formal-White-Dial-Watch/dp... | Product URL | |
|
Pricing
|
22 | ||
|
Title
|
TIMEWEAR Analogue Men's Watch (Black Dial) |
Description
Country Coverage
History
Volume
| 25 million | records |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Not available |
| Monthly License |
$300 / month |
| Yearly License |
$2,000 / year |
| Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Datahut Amazon Product Data Feeds for North America, South America & Asia (data as a service)?
Datahut extracts product data from Amazon that helps customers understand the marketplace dynamics, competition, pricing trends, promotions, etc. We deliver ready-to-use data that can be plugged into any BI tool or application of your choice.
What is Datahut Amazon Product Data Feeds for North America, South America & Asia (data as a service) used for?
This product has 5 key use cases. Datahut recommends using the data for Pricing Strategy, Pricing Optimization, Competitive Intelligence, Pricing Analysis, and Promotional Intelligence. Global businesses and organizations buy CPG Data from Datahut to fuel their analytics and enrichment.
Who can use Datahut Amazon Product Data Feeds for North America, South America & Asia (data as a service)?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for CPG Data. Get in touch with Datahut to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Datahut Amazon Product Data Feeds for North America, South America & Asia (data as a service) go?
This product has 0 days of historical coverage. It can be delivered on a minutely, hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does Datahut Amazon Product Data Feeds for North America, South America & Asia (data as a service) cover?
This product includes data covering 106 countries like USA, China, Japan, India, and Brazil. Datahut is headquartered in United States of America.
How much does Datahut Amazon Product Data Feeds for North America, South America & Asia (data as a service) cost?
Pricing for Datahut Amazon Product Data Feeds for North America, South America & Asia (data as a service) starts at USD300 per month. Connect with Datahut to get a quote and arrange custom pricing models based on your data requirements.
How can I get Datahut Amazon Product Data Feeds for North America, South America & Asia (data as a service)?
Businesses can buy CPG Data from Datahut and get the data via S3 Bucket, SFTP, and Feed API. Depending on your data requirements and subscription budget, Datahut can deliver this product in .json, .xml, .csv, .xls, and .sql format.
What is the data quality of Datahut Amazon Product Data Feeds for North America, South America & Asia (data as a service)?
You can compare and assess the data quality of Datahut using Datarade’s data marketplace. Datahut appears on selected Datarade top lists ranking the best data providers, including Best 6 LinkedIn Data Scrapers for Lead Generation and Top 10 Crypto News APIs for Instant Market Analysis.
What are similar products to Datahut Amazon Product Data Feeds for North America, South America & Asia (data as a service)?
This product has 3 related products. These alternatives include Grepsr Price Monitoring Data Service from Amazon Global Coverage with Custom and On-demand Datasets, Amazon Data, Product Data, Product Reviews, Best Sellers & Deals + More E-Commerce Data Real-Time API, and TagX Ecommerce Product Data Ecommerce Product listing Details, Pricing, Reviews Amazon, Flipkart, Tmall & more Global Coverage Monthly updates. You can compare the best CPG Data providers and products via Datarade’s data marketplace and get the right data for your use case.
