- Full data coverage
- Personalized data feed
- Integrated API delivery
- 100% compliant data
Generate alpha and outperform the market
Benefit from real-time data collection and tailored web scraping to optimize portfolio performance and risk management.
Assess, validate and monitor investment decisions
Reveal actionable intelligence and make data-driven choices, enhancing deal sourcing and transaction execution efficiency.
Hedge funds and Investment firms
Popular Use Cases
Identify trading opportunities based on historical and real-time data. Use quantitative models and algorithms to analyze factors such as market trends, price changes, and trading volumes to generate buy or sell signals.
Maximize returns and minimize risk by identifying the ideal asset mix for investment portfolios. Analyze a dataset for a variety of factors including historical returns, correlations, and market conditions.
Use datasets to assess the risk associated with trading and investment activities. Analyze factors such as volatility, credit risk, and counterparty risk to monitor and mitigate potential threats to your portfolios.
Get market sentiment data from news articles, social media posts, and other sources to identify emerging trends, anticipate market changes, to make trading and investment decisions based on market sentiment.
Discover unique insights using alternative datasets like satellite imagery, web traffic, and social media activity. Find early signs of consumer behavior changes, supply chain disruptions, or other factors.
Assess a company's environmental, social, and governance performance. Easily identify companies committed to reducing their carbon footprint or implementing effective worker safety measures.
A variety of reliable datasets for any use case
Get structured datasets, subscribe to a data feed of up-to-date records or filter existing datasets for a cost-effective and time-saving solution. Dataset categories include eCommerce, business, social media, real estate, and more!
Bright Data served over 5.5 trillion data requests in a single year.
Almost twice the number of search engine queries.
Industry Leader 2023
Leader quadrants in the Grid® Report are highly rated and have significant satisfaction and market presence scores
Meilleur écosystème de proxys 2023
Bright Data a été récompensé pour sa position de leader du secteur en matière d'innovation pour les proxys et pour la qualité de son expérience client globale
Best Results 2023
The Best Results product in the Results Index earned the highest overall Results rating in its category
Industry Leading Compliance
Our privacy practices comply with data protection laws, including the EU data protection regulatory framework, GDPR, and the California Consumer Privacy Act of 2018 (CCPA) - respecting requests to exercise privacy rights and more.
Why 20,000+ Customers Choose Bright Data
All data collected and provided to customers are ethically obtained and compliant with all applicable laws.
24/7 Global Support
A dedicated team of customer service professionals is available to assist you at any time.
Complete Data Coverage
Our customers can access over 72 million+ IP addresses worldwide to collect data from any site or platform.
Unmatched Data Quality
With our advanced technology and quality assurance processes, we ensure accurate, high-quality data.
Our proxy-unblocking infrastructure makes it easy to collect large-scale data without getting blocked.
We provide tailored solutions to meet each customer's unique needs and business goals.
Frequently Asked Questions
Yes. Simply accessing publicly available information via automated means is considered permissible under the applicable regulatory and legal frameworks. Bright Data’s services are based on its automated solutions, which strive to emulate the behavior of an individual end user. There is nothing that can be done through Bright Data’s services that cannot be done by a human with a web browser. This is considered as a legitimate practice, which is also essential in securing relevant and efficient access to public data.
Read more: Code of Ethics and Conduct
As an enthusiastic advocate of internet security and privacy, Bright Data understands the importance of providing data subjects with greater control on their privacy and data. Therefore, we have made considerable efforts to ensure that our privacy practices comply with data protection laws, including the GDPR and CCPA, and the industry’s best practices regarding, among other things, respecting data subjects’ requests to exercise their rights. We are constantly examining applicable legal developments and the relevant provisions of the applicable laws to develop tools for our customers’ compliant use of our services.
Bright Data collects publicly available data only, i.e., information that does require log-in or sign-in to access. Some of the public information collected by us from the internet may occasionally include personal data, even though personal data collection is not our main business or objective.
Bright Data manages data for over 15,000 organizations around the world. We understand that our customers expect us to protect their data with the highest standards and are committed to providing them with a highly secure and reliable environment. Our security model and controls are based on international standards and industry best practices, such as ISO 27001, ISO 27018, CSA Star level I, and OWASP Top 10, as well as best practice regarding Data encryption, Infrastructure Security and External Security Audits.
Our datasets are refreshed upon request prior to purchase to ensure the most current information. Additionally, the periodicity of updates varies depending on the specific dataset in question.
Records include URLs to images. In some cases, the images can be acquired as separate datasets.
Yes, we can provide larger samples; please contact our sales representatives.
We can perform queries combining two different datasets, assuming a common identifier in both datasets we can use as a reference. Please contact our data experts if you have such a need.
When we refresh a dataset, we store some or all of its past values; we have up to 1 year of historical data for most datasets.