Bright Data Proxies: Features and Pricing

updated on Mar 10, 2026

Bright Data expanded its platform beyond traditional proxy infrastructure. The company introduced Web MCP (Model Context Protocol) tools designed for AI agents and automated systems, enabling programmatic web browsing, scraping, and search capabilities optimized for LLM-based workflows.

This development positions Bright Data not only as a proxy provider but also as an infrastructure platform for AI-powered web data access.

Bright Data AI web access infrastructure (Web MCP)

Bright Data introduced Web MCP (Model Context Protocol), a platform that enables AI agents and automation systems to interact with the web programmatically.

The platform provides structured tools for accessing websites while leveraging Bright Data’s proxy network and anti-blocking infrastructure.

Key capabilities include:

Search engine retrieval: AI agents can perform location-specific searches and retrieve structured results.
Automated web browsing: Agents can open and interact with web pages within a controlled browser environment.
Geo-targeted browsing: Requests can be routed through specific countries using Bright Data’s proxy network.
AI-optimized outputs: Tools are designed to reduce token usage when returning web content to LLMs.

Bright Data also introduced a free tier for Web MCP, offering 5,000 requests per month, allowing developers to experiment with AI-driven web retrieval before upgrading to enterprise plans.

Bright Data proxy network

Bright Data, initially known for its large residential IP network, has expanded into a versatile proxy service that now includes datacenter, mobile, and ISP proxies. Main features include:

Enterprise-ready proxies: The industry often relies on applications commonly used by retail users (e.g., games) to generate IP addresses for web scraping. Although ethically sourcing these IPs is more costly, it is essential for any ethical enterprise. Bright Data leads the industry in transparency regarding its sourcing methods.

Geo-targeting: Users can target specific cities, choose IP addresses from particular networks, or even focus on specific ZIP codes for greater accuracy.

Flexible pricing models: Users can opt for a pay-as-you-go model without a monthly subscription or choose commitment plans at discounted rates. Additionally, custom plans are available to meet unique needs, ensuring customers pay only for the features they need.

Pricing:

You can choose between a subscription plan or a pay-as-you-go option. A free trial (7 days) is available for registered companies.

Proxy type	PAYG / GB	Monthly price	Traffic
Datacenter	$0.60	$499 ($0.51/GB)	1 TB
Residential	$4.00	$499 (~$3.57/GB)	138 GB
Mobile	$8.00	$499 (~$7.14/GB)	69 GB
ISP	$1.30 per IP (varies)	Custom pricing	Depends on plan

Residential proxy

Proxy pool: 150M residential IPs across 195 countries.
Supported protocols: Bright Data’s residential proxy network is compatible with both HTTP(S) and SOCKS5 protocols (the latter requires additional software). To utilize the SOCKS5 proxy, you need to configure your application or web scraping tool to route through the proxy server using the Proxy Manager.
Targeting: Country, city, ASN, ZIP code, coordinates, and OS.
Proxy IP type: Shared proxies and dedicated IPs. The cost per user is lower than dedicated residential IPs.
Rotation: Bright Data introduced a minimum session lifetime parameter, allowing users to request residential peers with session durations ranging from 1 to 60 minutes, which is useful for maintaining consistent IP identities during longer automation tasks.

Datacenter proxy

Proxy pool: Over 1.3M–1.6M datacenter IPs across 98+ countries, depending on network allocation and dedicated IP availability.
Proxy IP type: Bright Data offers four different types of IP:
- Shared (Pay per usage): A pool of 20,000 datacenter IPs that can be rotated. Users are charged only for the usage, allowing them to monitor their bandwidth consumption and adjust activities accordingly.
- Shared (Pay per IP): Users are charged a set fee for each IP address they access. For high-volume tasks such as large-scale web scraping, the unlimited bandwidth option could offer greater value.
- Dedicated IP: The datacenter IP is assigned to a single user, no other user can engage in questionable activities on the same IP address.
- Premium IPs: Better uptime, higher speed, and a lower risk of detection. Charges are based on actual usage.
Targeting: Country and city level targeting using a shared (pay-per-IP) or dedicated proxy network.
Rotation: After each connection request, or keep the IPs for as long as available.
Supported protocols: HTTP(S), SOCKS5

Mobile proxy

Proxy pool: 7 million 3G/4G/5G mobile IPs distributed by ISPs
Proxy IP type: Shared and dedicated mobile IP addresses
Targeting: Country, city, zip code, carrier & ASN targeting
Protocols: HTTP(S), SOCKS5 (requires extra software)
Rotation: Each connection request, sticky sessions for as long as available

Static residential proxy (ISP Proxies)

Proxy pool: 1.3M static residential (ISP) IPs, with capacity expanded in 2026 by approximately 200,000 additional ISP addresses.
Proxy IP type: Shared (Pay per usage), shared (Pay per IP), dedicated
Targeting: Country, city, zip code, carrier & ASN targeting
Protocols: HTTP(S), SOCKS5
Rotation: Offers proxy manager to rotate the User-Agent header automatically and assign a fresh IP address.

Pricing details

Bright Data offers two main pricing plans for proxy network and scraping solutions: monthly and annual. Instead of adhering strictly to predefined packages, the proxy provider provides custom proxy plans to understand and cater to the specific needs of each client. They also offer a pay-as-you-go model, ensuring clients only pay for the duration and resources they use.

The proxy provider prices their proxy services based on bandwidth consumption. Bandwidth consumption is the amount of data transferred over a network, typically measured by gigabytes (GB), or terabytes (TB).

Where data scraping is the main goal, a bandwidth-based proxy pricing model can be more cost-effective than other pricing models, such as pricing per port.

The pricing information in the table below is derived from the vendor’s public claims. Please note that the information given for each package is on a monthly basis. Since pricing models can evolve, it’s advisable to check the proxy providers’ websites for the most up-to-date details.

Customer stories and case studies

This section provides some case studies to help you get an overview of the benefits that Bright Data has offered in the past.

Omnichannel solutions powered by Online Data – Canopy

Industry: Retail and eCommerce
Challenge: Canopy faced challenges in gathering public online data due to IP address restrictions and even exhausted the IP resources of a proxy company they collaborated with. ¹
Solution: Bright Data’s residential and datacenter proxies as well as the Bright Data Web Unlocker to access the needed data and extract it from the target websites.
Results: Was able to access and scrape the target data without IP bans and restrictions.

Seamless Digital Automations

Industry: Digital advertising
Challenge: ThyssenKrupp, one of the customers of Seamless Digital Automations, wanted to automate the daily compilation of top industry news, commodity prices, and global currency exchange rates from multiple websites for distribution to its employees, a task that was previously done manually.²
Solution: Bright Data’s Web Scraper IDE (Integrated Development Environment) to build a custom public web scraper to automatically manage the task.
Results: Collected public web data, including daily exchange rates and commodities pricing, from various web sources.

Alternative travel solutions enabled by online data – Railofy

Industry: Travel
Challenge: Railofy encountered difficulties in obtaining sufficient public online data to nourish its pricing algorithm, and offer their waitlisted passengers the option to fly at a cost similar to their train ticket. ³
Solution: Used Bright Data’s Datacenter IPs and Residential IPs as well as the Bright Data Proxy Manager to access the required data points such as flight options, number of seats and prices of flights.
Results: Was able to collect the needed public online data and set its pricing effectively based on the collected data.