Datasets Pricing

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.

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.

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.

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.

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.

Common use cases include machine learning and AI model training, product enrichment, market research, trend analysis, sentiment analysis.

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.

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.

You can choose between instantly available datasets, with data dating back from a few days to a couple of months, or freshly collected data.

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

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.

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

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.

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.

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.