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LinkedIn people profiles
Amazon products
LinkedIn company information
Instagram - Profiles
Crunchbase companies information
Linkedin job listings information
Google Maps businesses
Zillow properties listing information
Instagram - Posts
X (formerly Twitter) - Posts
LinkedIn posts
TikTok - Profiles
Shopee - products
Facebook - Pages Posts by Profile URL
Amazon Reviews
Walmart - products
Indeed job listings information
TikTok - Posts
Youtube - Videos posts
Employees business enriched dataset
Companies information enriched dataset
YouTube - Profiles
IMDB media
Airbnb Properties Information
Glassdoor companies overview information
X (formerly Twitter) - Profiles
Yahoo Finance business information
TikTok Shop
Google News
Shein- Products
Facebook - Comments
Booking Hotel Listings
Instagram - Reels
Yelp businesses overview
Otodom Poland
Google maps reviews
Instagram - Comments
Glassdoor job listings information
LinkedIn profiles Jobs Listings
Reddit- Posts
Glassdoor companies reviews
Zoominfo companies information
Amazon products global dataset
pitchbook companies information
Amazon sellers info
eBay
G2 software product overview
Amazon best seller products
Google Shopping
Github repository
Australia real estate properties
Facebook - Posts by group URL
Google Play Store
Facebook Marketplace
Home Depot US
Goodreads books
TikTok - Comments
Facebook - Posts by post URL
Amazon Walmart
Booking Listings Search
Amazon products search
G2 software - product reviews
Etsy
Zara - Products
Trustpilot business reviews
Yelp businesses reviews
Zillow price history
World population
Zoopla properties listing information
Indeed companies info
Ikea - Products
Best Buy products
Lazada - Products
Reddit - Comments
Pitchbook People Profiles
Target
NBA players' stats
Myntra products
Ozon.ru products
Youtube - Comments
Sephora products
Google Play Store reviews
Wikipedia articles
BBC news
OLX Brazil - marketplace ads
Pinterest - Posts
Realtor international properties listings
Facebook - Reels by profile URL
Owler companies information
H&M - Products
Facebook Events
Facebook Company Reviews
Xing social network
US lawyers directory
Webmotors Brasil - Cars Listings
Creative Commons Images
Lowes.com
Google Shopping products search US
Digikey - Products
Wildberries.ru products
Zonaprop Argentina - Properties Listing
CNN news
Slintel 6sense company information
Walmart sellers info
Tokopedia Products
carsales.com.au - Cars Listings
Wayfair products
Mouser - Products
Apple App Store reviews
Pinterest - Profiles
Zalando products
Manta businesses
Chileautos Chile - Cars Listings
Carsales Cars Listings search page information
Asos - Products
Quora posts
Lazada - Reviews
Agoda Properties Listings
Lego - Products
Yapo Chile - marketplace ads
Bluesky - Posts
VentureRadar company information
Inmuebles24 Mexico - Properties Listings
Trustradius product reviews
Apple App Store
Creative Commons 3D Models
Chanel Products
Metrocuadrado - Properties Listings
Hermes- Products
World zipcodes
Naver products
Home Depot CA
Top 500 Bluesky Profiles
Dior - Products
Vimeo - Videos posts
AE.com - Complete Products
Toctoc - Properties Listings
Lazada products search (GMV)
Mediamarkt.de products
Balenciaga.com - Products
Ashleyfurniture - Products
Mango Products
Infocasas Uruguay - Properties Listings
Toysrus - Products
Properati Argentina and Colombia - Properties Listings
Twitch - streams dataset
Fanatics.com - Products
Google Maps full information
Carters.com - Products
Zara Home Products
Prada.com - Products
Ysl.com - Products
Fendi Products
Crateandbarrel - Products
Loewe.com - Products
Delvaux - Products
Bottegaveneta.com - Products
Walmart - products zipcodes
Massimo Dutti - Products
Mybobs.com - Products
Celine.com - Products
Sleepnumber.com - Products
ChatGPT Search
Berluti.com - Products
Mattressfirm - Products
llbean.com - Products
Montblanc - Products
Raymourflanigan.com - Products
La-z-boy.com - Products
Moynat.com - Products
Zillow Full Properties Information
Zillow properties search page
LinkedIn people search
Walmart products search
Perplexity Search
Snapchat posts
Agoda Listings Search
TikTok - Posts by URL Fast API
Bing Copilot Search
Grok Search
Perplexity Search - Places Tab
Snapchat profile
Gemini Search
TikTok - Posts by Search URL Fast API
TikTok - Posts by Profile Fast API
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Enriched Datasets
Save time and resources with pre-built datasets that combine multiple sources into one clean dataset
Sample data layout
id | name | country code | locations | followers | employees in linkedin | about |
---|---|---|---|---|---|---|
joseph-b-nicholson-gregory-a-nicholson | JOSEPH B NICHOLSON GREGORY A NICHOLSON | US | [ "5100 WILLOWS AVE Philadelphia, Pennsylvania 19143, us" ] | 1 | 0 | |
american-lyceum | American Lyceum | null | [] | 813 | 289 | |
ikigaitalento | IKIGAI Talento® - Educación y Empleabilidad | AR | [ "Cordoba, 5147, AR" ] | 514 | 2 | |
cloudlogic-technologies | CloudLogic Technologies | IN | [ "27-28, Bajanai Madam street , Ellaipillaichavady Pondicherry, Puducherry 605005, IN" ] | 1550 | 43 | |
aflac-new-york | Aflac New York | US | [ "22 CORPORATE WOODS BLVD Albany, New York 12211, us" ] | 14 | 19 |
[
{
"db_source": "1752579434721",
"timestamp": "2025-07-15",
"id": "joseph-b-nicholson-gregory-a-nicholson",
"name": "JOSEPH B NICHOLSON GREGORY A NICHOLSON",
"country_code": "US",
"locations": [
"5100 WILLOWS AVE Philadelphia, Pennsylvania 19143, us"
],
"followers": 1,
"employees_in_linkedin": 0
},
{
"db_source": "1752579434721",
"timestamp": "2025-07-15",
"id": "american-lyceum",
"name": "American Lyceum",
"country_code": null,
"locations": [],
"followers": 813,
"employees_in_linkedin": 289
},
{
"db_source": "1752579434721",
"timestamp": "2025-07-15",
"id": "ikigaitalento",
"name": "IKIGAI Talento® - Educación y Empleabilidad",
"country_code": "AR",
"locations": [
"Cordoba, 5147, AR"
],
"followers": 514,
"employees_in_linkedin": 2
},
{
"db_source": "1752579434721",
"timestamp": "2025-07-15",
"id": "cloudlogic-technologies",
"name": "CloudLogic Technologies",
"country_code": "IN",
"locations": [
"27-28, Bajanai Madam street , Ellaipillaichavady Pondicherry, Puducherry 605005, IN"
],
"followers": 1550,
"employees_in_linkedin": 43
},
{
"db_source": "1752579434721",
"timestamp": "2025-07-15",
"id": "aflac-new-york",
"name": "Aflac New York",
"country_code": "US",
"locations": [
"22 CORPORATE WOODS BLVD Albany, New York 12211, us"
],
"followers": 14,
"employees_in_linkedin": 19
}
]
name | description | type | example |
---|---|---|---|
id | Unique to each company | text | joseph-b-nicholson-gregory-a-nicholson |
name | The name of the company | text | JOSEPH B NICHOLSON GREGORY A NICHOLSON |
country_code | The country where the company is located or headquartered | text | US |
locations | General information about the company's locations | array | [ "5100 WILLOWS AVE Philadelphia, Pennsylvania 19143, us" ] |
followers | The number of followers the company has on LinkedIn | number | 1 |
employees_in_linkedin | The number of employees listed on LinkedIn | number | 0 |
about | A description or summary of the company | text | null |
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RELEVANT DATASETS:
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LinkedIn Companies, CrunchBase, Enriched companies data, and more.
Drive growth with sales opportunities and insights
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LinkedIn People, Enriched employee data, and more.
Gain a competitive edge with real-time intelligence
Analyze marketing metrics, brand sentiment, influencer performance, and campaign success while staying informed on competitor pricing, regulatory updates, and talent trends to refine strategies and maintain a market advantage.
RELEVANT DATASETS:
Instagram profiles, TikTok posts, Facebook groups, and more.
Discover data-driven property opportunities
Monitor listing data, market trends, and property forecasts to identify investment opportunities, predict market shifts, and make smarter real estate investments.
RELEVANT DATASETS:
Zillow properties, Airbnb, and more.
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Datasets FAQs
What are Bright Data’s Marketplace Datasets?
Bright Data Dataset Marketplace are validated collections of high-quality datasets covering various topics, sourced from various reliable and diverse public online data sources. These datasets are meticulously gathered, cleaned, and structured to provide valuable business insights.
What types of datasets are available through Bright Data?
Bright Data offers diverse datasets spanning industries such as AI and LLMs, e-commerce, finance, travel, social media, and more. These datasets encompass various data types, including text, images, videos, and structured data, providing comprehensive coverage for different analytical needs.
Are the datasets in the marketplace customizable?
Yes, we get that different projects have unique requirements. This is why we offer customization options for datasets, allowing users to tailor the data to specific parameters such as timeframes, geographic regions, or specific data fields. This ensures that the datasets you receive are perfectly suited to your needs.
Are Bright Data Datasets ethically sourced?
Bright Data prioritizes ethical data-sourcing practices. They adhere to strict ethical guidelines and comply with all relevant regulations to ensure that the data provided is obtained ethically and legally. Additionally, Bright Data is committed to maintaining the privacy and security of data subjects and users.
Can I trust the quality of Bright Data Datasets?
Yes. Each dataset undergoes rigorous quality assurance processes to ensure accuracy, reliability, and relevance. Additionally, we continuously update and refresh our datasets to reflect the latest information, ensuring that users always have access to the most current data.
What are some common use cases for Bright Data Datasets?
Common use cases include machine learning and AI model training, product enrichment, market research, trend analysis, sentiment analysis.
What data formats and delivery methods does Bright Data support?
Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. Datasets can be delivered via Snowflake, Webhook, Google Cloud, Email, PubSub, Amazon S3, SFTP or Azure. You can also iInitiate requests through API for on-demand data.
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What is the difference between pre-collected and fresh data?
You can choose between instantly available datasets, with data dating back from a few days to a couple of months, or freshly collected data.
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