Datasets Pricing

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DATASET MARKETPLACE

Billions of records at your service

Access ready-to-use, fresh, and structured datasets with advanced filtering options and cost-effective subscription plans to power your business growth.

120+ domains
190+ datasets
7.7K+ data sample downloads

LinkedIn people profiles

ID, Name, City, Country code, Position, About, Posts, Current company, and more.

Business

Popular

113.5K+

10.8K+

Get dataset

Amazon products

Title, Seller name, Brand, Description, Initial price, Currency, Availability, Reviews count, and more.

eCommerce

Popular

33.3K+

5.6K+

Get dataset

LinkedIn company information

ID, Name, Country code, Locations, Followers, Employees in linkedin, About, Specialties, and more.

Business

Popular

31.9K+

3.4K+

Get dataset

Instagram - Profiles

Account, Fbid, ID, Followers, Posts count, Is business account, Is professional account, Is verified, and more.

Social media

20.9K+

3.3K+

Get dataset

Crunchbase companies information

Name, URL, ID, Cb rank, Region, About, Industries, Operating status, and more.

Business

Popular

Enriched

15K+

1.5K+

Get dataset

Linkedin job listings information

URL, Job posting id, Job title, Company name, Company id, Job location, Job summary, Job seniority level, and more.

Business

14.7K+

2.1K+

Get dataset

Instagram - Posts

URL, User posted, Description, Hashtags, Num comments, Date posted, Likes, Photos, and more.

Social media

12.5K+

1.6K+

Get dataset

Google Maps full information

Place id, URL, Country, Name, Category, Address, Description, Business details, and more.

Business

12.1K+

1.5K+

Get dataset

Zillow properties listing information

Zpid, City, State, HomeStatus, Address, IsListingClaimedByCurrentSignedInUser, IsCurrentSignedInAgentResponsible, Bedrooms, and more.

Shopee - products

URL, ID, Title, Rating, Reviews, Initial price, Final price, Currency, and more.

eCommerce

5.8K+

1.1K+

Get dataset

Walmart - products

URL, Final price, Sku, Currency, Gtin, Specifications, Image urls, Top reviews, and more.

eCommerce

5.3K+

839+

Get dataset

TikTok Shop

URL, Title, Available, Description, Currency, Initial price, Final price, Discount percent, and more.

eCommerce

5.1K+

644+

Get dataset

Employees business enriched dataset

URL, Profile url, Linkedin num id, Avatar, Profile name, Certifications, Profile location, Profile connections, and more.

Business

Enriched

5.1K+

367+

Get dataset

YouTube - Channels

URL, Handle, Handle md5, Banner img, Profile image, Name, Subscribers, Description, and more.

Social media

4.2K+

469+

Get dataset

Reddit- Posts

Post id, URL, User posted, Title, Description, Num comments, Date posted, Community name, and more.

Social media

4.1K+

388+

Get dataset

Glassdoor companies overview information

ID, Company, Ratings overall, Details size, Details founded, Details type, Country code, Company type, and more.

Business

URL, ID, Domain, Title, Description, License, Images, Creator details, and more.

Data for AI

315+

12+

Get dataset

URL, Item id, Variant id, Title, Description, Product category, Category tree, Brand, and more.

eCommerce

299+

Get dataset

Loewe.com - Products

Product name, Description, Country, Currency, In stock, Size, Color, Main image, and more.

eCommerce

298+

Get dataset

Instacart Products unified schema

URL, Item id, Title, Description, Product category, Category tree, Brand, Image url, and more.

eCommerce

295+

Get dataset

Threads - Profiles

URL, Profile name, Profile id, About formatted, Number of followers, Website, Instagram profile url, Threads, and more.

Social media

290+

10+

Get dataset

URL, Item id, Variant id, Title, Description, Product category, Category tree, Brand, and more.

eCommerce

285+

Get dataset

llbean.com - Products

IDentity, Product name, URL, Description, Category tree, Color, Country code, County of origin, and more.

eCommerce

284+

Get dataset

Nike products

URL, Item id, Variant id, Title, Description, Product category, Category tree, Brand, and more.

eCommerce

281+

Get dataset

Fendi Products

Product id, URL, Product name, Product description, Short description, Image, Price, Currency, and more.

eCommerce

280+

Get dataset

Prada.com - Products

Product name, Description, Country, Currency, In stock, Size, Color, Main image, and more.

URL, Item id, Variant id, Title, Description, Product category, Category tree, Brand, and more.

URL, Item id, Variant id, Title, Description, Product category, Category tree, Brand, and more.

eCommerce

218+

Get dataset

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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.

What If I want fresh, up-to-date datasets?

Not a problem. Before proceeding to checkout, you will be able to define the time range of the data freshness you would like to get.

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.

What payment methods do you accept for dataset purchases?

We accept all major credit cards, bank transfers, and select alternative methods including payment through AWS Marketplace for streamlined procurement.

How does billing work for datasets?

Each plan includes a minimum monthly commitment, which is billed at the start of each month as long as your account is active. If your usage exceeds this amount, you will need to add funds to continue.

Do you offer dataset subscriptions?

Yes, you can subscribe to receive periodic dataset deliveries (daily, weekly, monthly, quarterly, or yearly) and benefit from discounted pricing on recurring refreshes.

What should I do if my payment fails or I have a billing issue?

If your payment is declined or your account is blocked, you'll receive an email with instructions. Contact your account manager or email [email protected] to resolve the issue as quickly as possible.

What counts as a record in dataset pricing?

One record equals one entity: one person profile, one product listing, one job posting, one company, one social media post, and so on — depending on the dataset. Each record is a single row in your delivered file (or a single JSON object), containing all the data fields collected for that entity. For example, one LinkedIn profile record includes fields such as name, current title, company, location, experience history, and education. One Amazon product record includes title, brand, ASIN, price, availability, ratings count, and seller details. You can inspect the exact fields included in any dataset before purchasing by downloading the free sample or viewing the Data Dictionary on each dataset page. If you need only a subset of fields, you can hide irrelevant columns at checkout, which reduces both file size and integration complexity but does not change the record count.

How many records do I need to buy?

It depends on the scope of your project. A good starting point is to think in terms of entities: if you need data on 50,000 companies, you need 50,000 records. If you need data on 1 million Amazon products, you need 1 million records. Here are common reference points based on how customers typically use the marketplace:

Testing or proof of concept: The 100K record tier ($250 one-time) is enough to validate a pipeline, train an initial model, or run a market analysis.
Mid-scale projects: 500K to 1M records covers most competitive intelligence, lead generation, or sentiment analysis workloads.
Large-scale or production use: 5M to 20M+ records suits enterprise enrichment, full-market coverage, or large AI training datasets.

Before committing, download the free sample from any dataset page to verify field coverage and data quality. You can also use the AI-powered filter tool to scope your dataset by geography, category, date range, or other criteria and see an estimated record count before checkout. For complex requirements or high volumes, contact the sales team for a tailored recommendation.

Not sure what you need?

Contact sales