Overview
A highly advanced global network of data center IPs typically used for data collection on simple target sites. This is a fast cost-effective option for companies who want to maintain a stable request origin throughout their activities.
The funds could also be used for any other data, service and infrastructure from Bright Data within the Term.
Highlights
- Large pool of IPs
- 100% network uptime
- Extensive Interface
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/month |
|---|---|---|
STARTER | $0.7/IP $0.094/GB 'mix and match' $500 package | $500.00 |
PRODUCTION | $0.6/IP $0.083/GB 'mix and match' $1,000 package | $1,000.00 |
PLUS | $0.56/IP $0.077/GB 'mix and match' $3,400 package | $3,400.00 |
ENTERPRISE | $0.32/IP $0.044/GB 'mix and match' $6000 package | $6,000.00 |
PRELUDE | $0.8/IP $0.11/GB 'mix and match' $100 package | $100.00 |
Vendor refund policy
Cancel at any time. Unless otherwise specified, funds for committed periods or usage will not be refundable.
Custom pricing options
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Phone, Email Contact us. We're here to support you and get the data you need. Fast. 24/7 Live Support Contact our attuned support agents with any questions. Email: partnerships@brightdata.com
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Standard contract
Customer reviews
Reliable Datasets and Exceptional Support for Academic Research
I have also greatly appreciated being connected with Dani, who has been an exceptional partner throughout the process. She walked me through the platform, helped me access the data needed for our project, and worked closely with us to identify additional datasets that could support our research.
Academics are often balancing research with demanding teaching and personal responsibilities, so projects do not always progress according to the original timeline. There were occasions when our data credits were approaching expiration before we had been able to fully use them. The team was patient, flexible, and understanding, working with us to extend or update access without placing unnecessary pressure on us.
The quarterly check-ins have also been extremely helpful. They provide a valuable sense of accountability as we work toward producing publishable research, while also creating opportunities to discuss any additional data needs. Overall, I am very grateful for the team’s responsiveness, flexibility, and genuine commitment to supporting academic research.
At the same time, no dataset is perfect. For example, the LinkedIn dataset primarily contains recent job postings and offers limited archival data. Historical postings would be especially valuable for research examining how employer signals and workforce expectations have changed over time. However, this limitation does not appear to be specific to Bright Data. It largely reflects the nature of the source platform, since LinkedIn job postings expire and may no longer be available for collection.
I also appreciated Dani’s responsiveness in helping us explore alternatives. When we discussed the limitations of the LinkedIn data, she suggested that we consider an Indeed dataset that might better support our research needs. Overall, the limitations I encountered were primarily associated with the platforms from which the data were collected rather than with Bright Data itself.
Data access can be extremely difficult and costly, and these constraints sometimes force academics to pursue research based on what data are readily available rather than the questions that are most important. Bright Data has enabled me to investigate questions that have direct implications for students, universities, and teaching practices.
My research was motivated by the rapid democratization of data analytics and artificial intelligence. As generative AI became embedded in many of the tools used by business analysts, my students became increasingly concerned about their futures. Some came to my office and asked whether they should still major in business analytics now that the tools used in the profession are increasingly powered by generative AI. As their professor, I felt that I should have answers, but I did not yet have evidence-based answers.
That experience motivated me to study employer signals and better understand the competencies organizations are seeking in an AI-enabled workplace. Bright Data has been an invaluable partner in pursuing that objective. I am deeply grateful for the access to data, the ongoing support, and the opportunity to conduct research that may help universities better prepare students for the future of work. I look forward to continuing the partnership, analyzing the data, and discovering what the evidence reveals.