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.
Your trusted partner for high-quality pharmaceutical data
Gain a competitive edge using high-quality, reliable datasets tailored for pharma companies, biotech firms, healthcare analysts, and insurance teams.
- Full data coverage
- Personalized data feed
- Integrated API delivery
- 100% compliant data
Pharma & Biotech Companies
Stay ahead in a fast-moving industry
Healthcare Analysts & Insurers
Turn public health data into strategic intelligence
Trusted by 20,000+ customers worldwide
Pharma and healthcare popular use cases
Drug Price Monitoring
Clinical Trial Data Aggregation
Competitor Pipeline Monitoring
Formulary & Coverage Tracking
OTC Product Tracking
Adverse Event & Safety Signal Monitoring
Need ready-to-use pharmaceutical data? Explore our pharmaceutical datasets
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Frequently Asked Questions
Is scraping publicly available pharmaceutical data allowed?
Yes. Accessing publicly available information via automated means is considered permissible under applicable regulatory and legal frameworks. Bright Data's services emulate the behavior of an individual end user — sources like ClinicalTrials.gov, public pharmacy listings, and regulatory filings are openly accessible and widely used for research and competitive intelligence.
Read more: Code of Ethics and Conduct
How does Bright Data ensure compliance when collecting pharma data?
Bright Data collects only publicly available data — information that does not require a login or sign-in to access. We ensure our privacy practices comply with data protection laws including GDPR and CCPA, and we continuously monitor legal developments to help customers use our services compliantly.
Bright Data has designed a detailed Privacy Policy to provide all required information about its privacy practices.
What sources can be used to collect pharmaceutical data?
Pharmaceutical data can be collected from a wide range of public sources including ClinicalTrials.gov, FDA and EMA regulatory databases, retail pharmacy websites, eCommerce platforms (Amazon, Walmart), insurance and PBM formulary pages, and medical news outlets. Bright Data's infrastructure supports large-scale collection across all of these source types.
Can Bright Data collect drug pricing data across multiple pharmacy chains?
Yes. Our infrastructure supports monitoring drug prices across retail pharmacy chains, online dispensaries, and eCommerce platforms at scale. Pricing data can be collected on a scheduled basis to track changes over time and support reimbursement and market access strategies.
What security measures does Bright Data have in place to protect customer data?
Bright Data manages data for over 15,000 organizations around the world. Our security model and controls are based on international standards including ISO 27001, ISO 27018, CSA Star level I, and OWASP Top 10, as well as best practices for data encryption, infrastructure security, and external security audits.
How often is pharmaceutical data updated?
Datasets are refreshed upon request prior to purchase to ensure the most current information. For ongoing monitoring use cases such as drug price tracking or clinical trial status updates, refresh frequency can be customized from near real-time to daily or weekly depending on your needs.
Can I get a larger sample to test the pharmaceutical data with my system?
Yes, we can provide larger samples; please contact our sales representatives.
Can you combine pharmaceutical datasets from multiple sources?
Yes. We can perform queries combining datasets from multiple sources — for example, merging clinical trial data with competitor pricing or formulary coverage data — assuming a common identifier exists. Please contact our data experts if you have such a need.
Do you have historical pharmaceutical data available?
Yes. 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, enabling longitudinal analysis of drug pricing trends, pipeline evolution, and formulary changes over time.