Amazon seller lists - 960k+ sellers from 7 international marketplaces | scrapelabs.io
| # | Seller URL |
Seller ID |
Store Name |
Main Category |
Private label |
FBA Seller |
Orders # |
Estimated annual revenue |
Business Name |
Full Business Address |
Country |
State/Province |
ZIP Code |
City |
Decision-maker job title |
Decision-maker email |
Decision-maker LinkedIn |
Email - company |
Website |
Company LinkedIn |
Star rating |
Percentage of positive reviews |
Last 30 days seller ratings |
Last 90 days seller ratings |
Last 12 months seller ratings |
Lifetime number of seller ratings |
Number of products listed |
Average product price (based on first storefront page) |
Brands listed |
Number of brands listed |
|||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx |
| 2 | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx |
| 3 | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx |
| 4 | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx |
| 5 | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | 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 |
| 6 | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | 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 | Xxxxx | Xxxxxxx |
| 7 | 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 | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx |
| 8 | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx |
| 9 | 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 |
| 10 | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx |
| ... | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Seller URL
|
String | https://www.amazon.com/sp?_encoding=UTF8&s=A2ZXUQ5J7B4V7V | |
|
Seller ID
|
String | A2ZXUQ5J7B4V7V | |
|
Store Name
|
String | ProSupps Official | |
|
Main Category
|
String | Health & Household | |
|
Private label
|
Boolean | Yes | |
|
FBA Seller
|
Boolean | Yes | |
|
Orders #
|
String | 100K+ orders in the past 12 months | |
|
Estimated annual revenue
|
String | $1M-$10M | |
|
Business Name
|
String | ProSupps USA, LLC | |
|
Full Business Address
|
String | 5757 Main St., Suite 205, Frisco, TX, 75034, US | |
|
Country
|
String | US | |
|
State/Province
|
String | TX | |
|
ZIP Code
|
Integer | 75034 | |
|
City
|
String | Frisco | |
| String | Contact First Name | ||
| String | Contact Last Name | ||
|
Decision-maker job title
|
String | Board Member | |
|
Decision-maker email
|
String | j*@ProSupps.com | |
|
Decision-maker LinkedIn
|
String | https://www.linkedin.com/in/jpemberton1 | |
|
Email - company
|
String | allison@prosupps.com | |
|
Website
|
String | prosupps.com | |
|
Company LinkedIn
|
String | https://www.linkedin.com/company/28624345 | |
| String | Phone Number | ||
|
Star rating
|
Integer | 5 | |
|
Percentage of positive reviews
|
String | 95% positive | |
|
Last 30 days seller ratings
|
Integer | 12 | |
|
Last 90 days seller ratings
|
Integer | 62 | |
|
Last 12 months seller ratings
|
Integer | 188 | |
|
Lifetime number of seller ratings
|
Integer | 722 | |
|
Number of products listed
|
Integer | 25 | |
|
Average product price (based on first storefront page)
|
String | $26.80 | |
|
Brands listed
|
String | PROSUPPS | |
|
Number of brands listed
|
Integer | 1 |
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Seller URL
|
https://www.amazon.com/sp?_encoding=UTF8&s=A3KPS0AOV6XS3R | ||
|
Seller ID
|
A3KPS0AOV6XS3R | ||
|
Store Name
|
Michel Design Works | ||
|
Brand owner
|
YES | ||
|
FBA Seller
|
YES | ||
|
Main Category
|
Beauty & Personal Care | ||
|
Orders
|
100K+ orders in the past 12 months | ||
|
Estimated annual revenue
|
$1M-$10M | ||
| String | Michel Design Works Ltd. | Company Name | |
| String | 2875 Route 35, Suite 6S, Katonah, NY, 10536, US | Company Address | |
| String | US | Country Name | |
| String | Katonah | City Name | |
|
ZIP Code
|
10536 | ||
| String | NY | Province Name | |
| String | Contact First Name | ||
| String | Contact Last Name | ||
| String | President | Contact Job Title | |
| String | Contact Work Email Address | ||
| String | Contact LinkedIn | ||
| String | micheldesignworks.com | Website | |
| String | Company Email Address | ||
| String | https://www.linkedin.com/company/1121152 | Company LinkedIn | |
| String | Phone Number | ||
|
Star Rating
|
5 | ||
|
Positive ratings %
|
99% positive | ||
|
Last 30 days seller ratings
|
109 | ||
|
Last 90 days seller ratings
|
299 | ||
|
Last 12 months seller ratings
|
1449 | ||
|
Lifetime number of seller ratings
|
12350 | ||
|
Number of products listed
|
311 | ||
|
Average product price (based on first storefront page)
|
$22.12 | ||
|
Brands listed
|
Michel Design Works | ||
|
Number Of Brands Sold
|
1 |
Description
Country Coverage
History
Volume
| 960,000 | sellers |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Available |
| Monthly License | Available |
| Yearly License | Available |
| Usage-based |
$490 / 1000 leads |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
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Get instant access to Amazon third-party seller data. Fully customizable datasets based on your requirements.
What is Amazon seller lists - 960k+ sellers from 7 international marketplaces scrapelabs.io used for?
This product has 5 key use cases. ScrapeLabs recommends using the data for Cold Outreach, Email Marketing, Business Development, Mergers & Acquisitions (M&A), and B2B Sales. Global businesses and organizations buy B2B Contact Data from ScrapeLabs to fuel their analytics and enrichment.
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How far back does the data in Amazon seller lists - 960k+ sellers from 7 international marketplaces scrapelabs.io go?
This product has 6 years of historical coverage. It can be delivered on a weekly, monthly, quarterly, yearly, and on-demand basis.
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This product includes data covering 249 countries like USA, China, Japan, Germany, and India. ScrapeLabs is headquartered in Poland.
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What is the data quality of Amazon seller lists - 960k+ sellers from 7 international marketplaces scrapelabs.io?
ScrapeLabs has reported that this product has the following quality and accuracy assurances: 97% accuracy. You can compare and assess the data quality of ScrapeLabs using Datarade’s data marketplace. ScrapeLabs has received 1 review from clients. ScrapeLabs appears on selected Datarade top lists ranking the best data providers, including Best +8 Web Scraping APIs to use in 2023 and Best 6 LinkedIn Data Scrapers for Lead Generation.
What are similar products to Amazon seller lists - 960k+ sellers from 7 international marketplaces scrapelabs.io?
This product has 3 related products. These alternatives include Amazon Sellers & Non Amazon Sellers Data 1.5M+ Contacts (Verified E-mail, Direct Dails) Decision Makers Contact Details 20+ Attributes , Grepsr Best Seller Rankings from Amazon Global Coverage with Custom and On-demand Datasets, and Shopify store lists - 1M+ stores worldwide scrapelabs.io. You can compare the best B2B Contact Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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