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    Data Center Proxies

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    Sold by: Bright Data 
    Deployed on AWS
    Bright Data provides the most advanced data center network offering multiple IP types across the world in a shared IP pool or for individual purchase.
    4.7

    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

    Delivery method

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Data Center Proxies

     Info
    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (5)

     Info
    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

    Request a private offer to receive a custom quote.

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    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.

    Resources

    Vendor resources

    Support

    Vendor support

    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 

    AWS infrastructure support

    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.

    Product comparison

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    Updated weekly

    Accolades

     Info
    Top
    50
    In Data Preparation

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
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    Positive reviews
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    Overview

     Info
    AI generated from product descriptions
    IP Pool Size
    Large pool of data center IPs available in shared or individual purchase options
    Network Reliability
    100% network uptime guarantee for consistent service availability
    Geographic Distribution
    Multiple IP types distributed across global locations
    Network Performance
    Fast and cost-effective data center network optimized for data collection activities
    HTTP Traffic Optimization
    HTTP caching mechanism to optimize cloud egress traffic to the Internet
    S3 Bucket Publishing
    S3 bucket publishing capability with support for multiple fully qualified domain names (FQDNs)
    Cost Reduction
    Cost optimization for HTTP-based outbound traffic through efficient egress management
    Internet Connectivity
    Internet-based traffic routing and management for cloud environments
    HTTPS Traffic Filtering
    Capability to filter and inspect HTTPS traffic for content analysis and policy enforcement
    Web Site Categorization and Blocking
    Ability to categorize web sites and apply blocking rules based on defined categories
    User and Policy Management
    System to manage multiple users and configure granular filtering policies per user or group
    Malicious File Download Prevention
    Detection and blocking of illegal or potentially malicious file downloads
    Content Filtering Engine
    Squid-based proxy engine for filtering advertisements and blocking resources with explicit content

    Contract

     Info
    Standard contract

    Customer reviews

    Ratings and reviews

     Info
    4.7
    318 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    82%
    16%
    1%
    0%
    2%
    0 AWS reviews
    |
    318 external reviews
    External reviews are from G2 .
    Owen B.

    The Bright initiative review

    Reviewed on May 06, 2026
    Review provided by G2
    What do you like best about the product?
    I thought Bright Data was very easy to use. It had a lot of data for many different things, including what I was looking for. I like the AI integration which made it very easy to filter the data and get what I needed fast. The AI integration allowed me to search and filter through the data a lot faster, making it a lot more valuable to me.
    What do you dislike about the product?
    I thought that the API key could be slightly more intuitive on how to use and to use your web scraping tools. Outside of this I loved bright data and the Bright initiative
    What problems is the product solving and how is that benefiting you?
    I used Bright Data as the dataset for my thesis, which helped estimate social media's impact on airline travel. It was easy to use, had extensive data, and its AI integration made data filtering fast and valuable.
    Harry W.

    Versatile but Complex, Outstanding Support

    Reviewed on Apr 29, 2026
    Review provided by G2
    What do you like best about the product?
    I appreciate Bright Data's customer service for being very responsive and actually trying to understand my problems. They provide help and advice, which is valuable since getting data from various places requires work.
    What do you dislike about the product?
    The product has lots of different features, it can be difficult to tell what to use. The docs are not great or were not great when I used them before. LLMs don't seem to have a good handle on how to use it. The marketing pages say things that might be good for prospecting, but they can be confusing as an existing customer; they sound like maybe you'd missed a specific product but turns out it's just what you'd already been using. The initial setup was tricky with confusion about sync async usage etc. The chat feature could help, but I haven't tried it recently. Previously it wasn't particularly useful. Some better API docs with use cases would be helpful as well.
    What problems is the product solving and how is that benefiting you?
    I use Bright Data for scraping public data, especially retrieving public reviews and customer data.
    Higher Education

    Easy to Use with Outstanding Customer Service

    Reviewed on Apr 28, 2026
    Review provided by G2
    What do you like best about the product?
    Easy to use and very good customer service
    What do you dislike about the product?
    Nothing so far. Will say so if something comes up
    What problems is the product solving and how is that benefiting you?
    Proxy service for data collection
    Tuan D.

    Efficient Proxy Solution with Easy Integration

    Reviewed on Apr 28, 2026
    Review provided by G2
    What do you like best about the product?
    I like the dashboard and how easy it is to use, and the documentation is very simple and intuitive. I want to save as much time as possible, especially with integrating new third-party interfaces, and Bright Data does this really well with custom API endpoints and AI endpoints that have very easy access to. I don't have to go through a bunch of hoops and pages; it's right there on the page when I log in. The initial setup was very easy, and that's one of my favorite features about Bright Data. It was one of the pros about Bright Data, how easy it is to use.
    What do you dislike about the product?
    I would've liked new features and think there are some really cool things you can do outside of just proxies and scraping. For example, I had to outsource a third-party web browser through AI agents to scrape JavaScript heavy websites. It would be cool if Bright Data also integrated this, so I don't have to go out to another application. I also noticed that some websites are banned or blocked by the proxies, possibly because I don't have the dedicated business use case approval yet. Some proxies are not working.
    What problems is the product solving and how is that benefiting you?
    I use Bright Data to access blocked pharmaceutical websites using residential and ISP proxies, helping me check medication stock and pricing.
    Deniz P.

    Bright Data’s MCP Integration Made Large-Scale Research Scraping Effortless

    Reviewed on Apr 20, 2026
    Review provided by G2
    What do you like best about the product?
    As a Master's thesis researcher with limited technical background, Bright Data's MCP (Model Context Protocol) integration with AI assistants completely transformed how I could work with the platform. Instead of navigating complex APIs or writing custom scrapers from scratch, I could simply describe what I needed in natural language and the AI connector handled the rest. The platform's interface is clean and intuitive, making it easy to set up and monitor scraping jobs even without prior experience. Whenever I had questions, the documentation was thorough enough to resolve them on my own, which kept my workflow moving without delays. Performance-wise, collecting and filtering over 6,000 LinkedIn job postings for a global workforce study was fast and reliable. Given the scale of data I received and the time it saved, the pricing felt well justified for an academic research project.
    What do you dislike about the product?
    The main limitation I encountered was with batch processing through the MCP integration, which required sending many separate requests to cover my full dataset rather than handling it in one go. A more generous batch size or native bulk-processing option for AI connectors would make the experience significantly smoother.
    What problems is the product solving and how is that benefiting you?
    For my Master's thesis, I needed to collect thousands of job postings from LinkedIn across multiple languages and countries, a task that would have been practically impossible to do manually or with basic scraping tools. Bright Data solved this by providing reliable, large-scale web data infrastructure that could handle the complexity of multilingual, multi-country data collection. The AI and MCP integrations meant I could access and query this data without needing to be a software engineer, which was critical as a solo researcher working under time constraints. The result was a dataset of 6,000+ job postings that forms the empirical foundation of my entire thesis.
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