Swash Shopping & eCommerce Data - 1.5M Worldwide Users - GDPR Compliant
# | id |
income |
useragent |
osname |
merchant |
action |
item_search_query |
item_quantity |
item_discounted_price |
item_shipping_fee |
item_sales_tax_amt |
item_arrival_estimate |
item_avg_rating |
item_max_rating |
timestamp |
|||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
2 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx |
3 | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
4 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx |
5 | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
6 | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
7 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx |
8 | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx |
9 | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx |
10 | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx |
... | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
id
|
String | ed08b062-2fdf-40a0-8a66-d436a13a27ff | |
String | 0c46a31f41fe0e4c8000777f6cf86e1f089d171c4a9364fe5a79c7179... | UID | |
String | United States | Country Name | |
String | Ocilla | City Name | |
String | en-US | Language Name | |
String | Contact Age | ||
String | Contact Gender | ||
income
|
String | 50-75K | |
useragent
|
String | Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537... | |
osname
|
String | win | |
merchant
|
String | amazon | |
action
|
String | ADD TO CART | |
item_search_query
|
String | men tank tops | |
String | 957bb221839db21d49d718ab60fe63192c70ba68bea58d4c4da33e0f5... | Product UPC | |
String | Champion Men's Muscle T-shirt, Sleeveless, Muscle Tank, C... | Product Name | |
String | All Departments | Product Category | |
String | 100% Cotton; Oxford Grey: 90% Cotton, 10% Polyester; Heat... | Product Description | |
item_quantity
|
Integer | 1 | |
Integer | 869 | Product Price | |
String | USD | Currency Name | |
Integer | 300 | Product Average Price | |
item_discounted_price
|
Integer | 280 | |
item_shipping_fee
|
Integer | 12 | |
item_sales_tax_amt
|
Integer | 5 | |
item_arrival_estimate
|
String | Tuesday, May 23 | |
item_avg_rating
|
Float | 4.5 | |
item_max_rating
|
Integer | 5 | |
timestamp
|
Integer | 1688949344721 |
Attribute | Type | Example | Mapping |
---|---|---|---|
id
|
String | 00001551-e258-4884-8872-8fad7c829d55 | |
String | f54690634e66f04e22d932b2111e2a9a1df0911c7331cc680587217ec... | UID | |
String | South Africa | Country Name | |
String | Johannesburg | City Name | |
String | en-US | Language Name | |
Integer | Contact Age | ||
String | Contact Gender | ||
income
|
String | -12K | |
useragent
|
String | Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537... | |
osname
|
String | win | |
merchant
|
String | flipkart | |
action
|
String | SELECTED | |
item-search-query
|
String | lower for men cotton | |
String | cc5a9384a77ea5811e0f1d3931bd75bc0543f68d1574061753833c178... | Product UPC | |
String | Men Solid Blue, Blue Track Pants | Product Name | |
String | All Departments | Product Category | |
String | Over dit item\nShimano Tourney / TY Tourney TY200 achterd... | Product Description | |
item-quality
|
Integer | 1 | |
Float | 869 | Product Price | |
String | USD | Currency Name | |
Float | 300 | Product Average Price | |
item-discounted-price
|
Float | 280 | |
item-shipping-fee
|
Float | 12 | |
items-sales-tax-amt
|
Float | 5 | |
item-arrival-estimate
|
String | Tuesday, May 23 | |
Float | 4.8 | Product Rating | |
item-max-rating
|
Float | 5 | |
timestamp
|
Timestamp | 1647540000000 |
Description
Country Coverage
History
Volume
1.5 million | Users |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
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Frequently asked questions
What is Swash Shopping & eCommerce Data - 1.5M Worldwide Users - GDPR Compliant?
Gain market intelligence, understand consumer behaviour, and optimise your strategies with fully compliant cookie-less browsing clickstream data covering demographics, user-level time-stamped raw/processed data feed, search and url visits responsibly sourced from a growing number of global users.
What is Swash Shopping & eCommerce Data - 1.5M Worldwide Users - GDPR Compliant used for?
This product has 5 key use cases. Swash recommends using the data for Artificial Intelligence (AI), Market Research, purchase behavior analytics, Competitor Analysis, and Ecommerce Intelligence. Global businesses and organizations buy Ecommerce Data from Swash to fuel their analytics and enrichment.
Who can use Swash Shopping & eCommerce Data - 1.5M Worldwide Users - GDPR Compliant?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Ecommerce Data. Get in touch with Swash to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Swash Shopping & eCommerce Data - 1.5M Worldwide Users - GDPR Compliant go?
This product has 2 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, and on-demand basis.
Which countries does Swash Shopping & eCommerce Data - 1.5M Worldwide Users - GDPR Compliant cover?
This product includes data covering 182 countries like USA, China, Japan, Germany, and India. Swash is headquartered in United Kingdom.
How much does Swash Shopping & eCommerce Data - 1.5M Worldwide Users - GDPR Compliant cost?
Pricing information for Swash Shopping & eCommerce Data - 1.5M Worldwide Users - GDPR Compliant is available by getting in contact with Swash. Connect with Swash to get a quote and arrange custom pricing models based on your data requirements.
How can I get Swash Shopping & eCommerce Data - 1.5M Worldwide Users - GDPR Compliant?
Businesses can buy Ecommerce Data from Swash and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Swash can deliver this product in .csv and .xls format.
What is the data quality of Swash Shopping & eCommerce Data - 1.5M Worldwide Users - GDPR Compliant?
Swash has reported that this product has the following quality and accuracy assurances: 100% Accuracy, 100% Timeliness, 90% Completeness. You can compare and assess the data quality of Swash using Datarade’s data marketplace.
What are similar products to Swash Shopping & eCommerce Data - 1.5M Worldwide Users - GDPR Compliant?
This product has 3 related products. These alternatives include Product and Price Data, Product Reviews Data from Google Shopping Ecommerce Data Real-Time API, Grepsr Price Monitoring Data Service from Amazon Global Coverage with Custom and On-demand Datasets, and Ecommerce Market data -Amazon Data , Walmart product data, Ecommerce data Ecommerce data extraction 50% Cost Saving Free Sample. You can compare the best Ecommerce Data providers and products via Datarade’s data marketplace and get the right data for your use case.