Bright Data | Global Anti-Money Laundering Sanctions List
# | Sample Dataset of Anti Money Laundering Company List. |
|||||||||
---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx |
2 | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
3 | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
4 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
5 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx |
6 | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
7 | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
8 | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx |
9 | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx |
10 | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx |
... | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Timestamp
|
2021-05-02T17:28:25.449Z | ||
URL
|
https://www.linkedin.com/organization-guest/company/amazon | ||
String | Amazon | Company Name | |
Slogan
|
When available | ||
Industries
|
Internet | ||
Followers
|
19156025 | ||
Stock Symbol
|
AMZN | ||
Funding rounds
|
2 total rounds | ||
Last funding round
|
Post IPO equity | ||
Money raised
|
US$ 100.0M | ||
Logo
|
logo_url | ||
Background Image
|
background_url | ||
String | 610444 | Company Employee Count | |
About
|
"Amazon is guided by four principles..." | ||
Locations
|
2127 7th Ave., Seattle, WA 98109, US | ||
Updates
|
"Jeff Bezos and Mary's Place recently welcomed..." | ||
Similar companies
|
|||
Affiliated pages
|
Amazon Web Services (AWS) | ||
Integer | 16551 | Company ID | |
String | 10,001+ employees | Company Employee Count | |
Headquarters Location
|
Seattle, WA | ||
Type
|
Public Company | ||
Specialties
|
e-Commerce, Retail, Operations, and Internet |
Description
Country Coverage
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is Bright Data Global Anti-Money Laundering Sanctions List?
By utilizing our AML(Anti- Money Laundering) Sanctions List, you can simplify your operations by eliminating the necessity of manually creating and managing your own list, thereby saving valuable time and resources.
What is Bright Data Global Anti-Money Laundering Sanctions List used for?
This product has 5 key use cases. Bright Data recommends using the data for Business Intelligence (BI), Employment Analytics, HR Intelligence, Credit Risk Analysis, and Financial Intelligence. Global businesses and organizations buy Company Data from Bright Data to fuel their analytics and enrichment.
Who can use Bright Data Global Anti-Money Laundering Sanctions List?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Company Data. Get in touch with Bright Data to see what their data can do for your business and find out which integrations they provide.
Which countries does Bright Data Global Anti-Money Laundering Sanctions List cover?
This product includes data covering 245 countries like USA, China, Japan, Germany, and India. Bright Data is headquartered in United States of America.
How much does Bright Data Global Anti-Money Laundering Sanctions List cost?
Pricing information for Bright Data Global Anti-Money Laundering Sanctions List is available by getting in contact with Bright Data. Connect with Bright Data to get a quote and arrange custom pricing models based on your data requirements.
How can I get Bright Data Global Anti-Money Laundering Sanctions List?
Businesses can buy Company Data from Bright Data and get the data via S3 Bucket, SFTP, Email, and Streaming API. Depending on your data requirements and subscription budget, Bright Data can deliver this product in .json and .csv format.
What is the data quality of Bright Data Global Anti-Money Laundering Sanctions List?
Bright Data has reported that this product has the following quality and accuracy assurances: 97% Success rate in real-time. You can compare and assess the data quality of Bright Data using Datarade’s data marketplace. Bright Data has received 5 reviews from clients. Bright Data appears on selected Datarade top lists ranking the best data providers, including Best 8 APIs for SEO Optimization, Best 6 SERP Tracking APIs for Accurate Monitoring, and Best +8 Web Scraping APIs to use in 2023.
What are similar products to Bright Data Global Anti-Money Laundering Sanctions List?
This product has 3 related products. These alternatives include Bright Data Politically Exposed Persons List, Forager.ai- Company Funding Data 61M Global Company Data Records Bi-Weekly Updates Historical Coverage Hourly Delivery CSV, JSON, PostgreSQL, and Coresignal Company Financial Data Alternative Data Global / 1B+ Records / Largest Professional Network / Updated Daily. You can compare the best Company Data providers and products via Datarade’s data marketplace and get the right data for your use case.