Bright Data Proxy Networks

Bright Data Proxy Networks give developers access to one of the largest commercially available proxy pools, covering residential, datacenter, ISP, and mobile IP types. The network spans 195 countries with options for city, carrier, and ASN-level targeting, making it suitable for use cases ranging from high-volume crawling to geo-restricted content access.

General
DeveloperBright Data
Network Size400M+ IPs
Countries195
TypeProxy Infrastructure
Documentationdocs.brightdata.com/proxy

Proxy Types

  • Residential Proxies: IPs sourced from real user devices. Best for accessing sites that block datacenter ranges. Supports unlimited concurrent sessions and rotates IPs automatically. Pricing starts at $5.04/GB.
  • Datacenter Proxies: Server-based IPs with high speed and low latency. Best suited for high-volume tasks where residential appearance is not required. Pricing starts at $0.066/GB.
  • ISP Proxies (Static Residential): Real residential IPs issued directly by ISPs, but static (non-rotating). Ideal for tasks that need a consistent IP address over time. Monthly plans start at $499.
  • Mobile Proxies: IPs from mobile carrier networks. Useful for tasks targeting mobile-specific content or requiring high anonymity. Pricing starts at $14.4/GB.

Proxy Variants

TypeStarting PriceBest For
Residential$5.04/GBSites with strict bot detection
Datacenter$0.066/GBHigh-volume crawling at low cost
ISP (Static)From $499/monthSessions needing a fixed IP
Mobile$14.4/GBMobile-targeted content, high anonymity

Core Features

  • Geo-targeting: Target by country, city, carrier, and ASN for precise location-based access.
  • Automatic rotation: Residential and mobile proxies rotate IPs per request or per session.
  • Concurrent sessions: Residential proxies support unlimited concurrent sessions.
  • 99.99% uptime SLA: Infrastructure backed by a service level agreement across all proxy types.
  • Protocol support: HTTP, HTTPS, and SOCKS5 supported across all proxy types.

Tools and Resources

  • Proxy Manager: open-source proxy management tool for routing, authentication, and monitoring.
  • Pricing Pages: per-GB and monthly plan calculators for each proxy type.
  • Quick Start Guide: set up your first proxy zone in minutes.
  • Python SDK: route requests through Bright Data proxies from Python.

Ecosystem and Integrations

  • Available on Azure Marketplace and Microsoft Marketplace.
  • Works with Puppeteer, Playwright, Selenium, Scrapy, and any HTTP client library via standard proxy authentication.
  • Compatible with Bright Data's Web Unlocker and Scraping Browser for combined unblocking and proxy routing.

Get started at brightdata.com/proxy-types or explore the full documentation for zone configuration and integration guides.

Bright Data Proxy Networks top builders

Explore the top contributors showcasing the highest number of Bright Data Proxy Networks app submissions within our community.

Bright Data Bright Data Proxy Networks AI technology Hackathon projects

Discover innovative solutions crafted with Bright Data Proxy Networks, developed by our community members during our engaging hackathons.

Fresno LUX: A Living City

Fresno LUX: A Living City

Fresno LUX is a prototype for a living intelligence layer across an entire city. Fresno already contains enormous amounts of intelligence: residents know where problems exist, nonprofits know where help is needed, businesses know where opportunities exist, educators understand gaps in learning, researchers generate knowledge, and government maintains critical infrastructure and data. The problem is that much of this intelligence is fragmented across disconnected systems. Fresno LUX connects those pieces. The platform creates a shared city graph where people, organizations, resources, needs, projects, observations, experiments, and outcomes become connected nodes. Instead of simply collecting data, LUX continuously asks: What is happening? What do we know? What is missing? What can we test? What changed? A community problem can become an observable signal. That signal can become an experiment. The experiment produces evidence. Evidence changes the system's understanding. That updated understanding informs the next action. Observe → Connect → Understand → Act → Measure → Learn → Converge. The goal is to move Fresno from disconnected information toward collective intelligence—a system where knowledge can travel across boundaries and successful solutions can be discovered, tested, measured, and replicated. LUX is designed to make the invisible connections visible: the relationship between a neighborhood and its resources, between a student and educational opportunity, between a business and workforce capacity, between environmental conditions and community health, and between an idea and measurable real-world impact. This hackathon prototype demonstrates the beginning of a Living Fresno Graph: a city that can observe itself, learn from evidence, and coordinate toward better outcomes.

Askable

Askable

You can Control-F a document. You can't Control-F a video. When the answer you need is buried in a two-hour recording, you drag the scrubber and hope — and then you quote from memory. Askable makes any video askable. Paste a YouTube URL or upload a video file, and it becomes a source you can interrogate in plain language, where every answer cites the exact second it came from as a link that jumps you straight there. How it works: Bright Data fetches transcripts for YouTube videos, Speechmatics transcribes uploaded files, so a video works with or without captions. The transcript is chunked with its timings, embedded through AI/ML API, and stored in Postgres with pgvector on Supabase. Questions are answered by two Deno Edge Functions — no third-party key ever reaches the browser. One thing ordinary RAG gets wrong is counting. "How many times do they say government?" cannot be answered from the eight closest chunks, because the model never saw the rest of the transcript. Askable recognises those questions and scans every segment literally instead, returning an exact count and a jump link for each hit. If the literal search misses, it falls back to semantic search rather than wrongly answering "never mentioned". Ingestion never blocks the app: transcribe one video while chatting with another, and conversations survive navigating away. It is for anyone who has to quote a video correctly — journalists, researchers, analysts, students, support teams. The entire product, frontend to edge functions to schema, was built with Native.builder.

Kitchen2Company – AI Business Launch Assistant

Kitchen2Company – AI Business Launch Assistant

Kitchen2Company is an AI-powered business launch assistant designed for aspiring food entrepreneurs in India, including home chefs, bakers, caterers, cloud kitchens, and food truck operators. Starting a food business often requires navigating multiple government portals, understanding legal structures, completing registrations, and making business decisions without expert guidance. This process is fragmented, confusing, and time-consuming for first-time founders. Our platform simplifies this journey through an interactive consultation that captures the entrepreneur's business profile, including business type, location, kitchen type, sales channels, team size, and growth goals. This structured profile is analyzed using DeepSeek V4 Flash via AI/ML API, generating a personalized business assessment with recommended business structure, required registrations, launch readiness score, reasoning, and next best actions. Every AI response is validated before being presented, and if the AI service becomes unavailable, the application automatically falls back to a rule-based recommendation engine to ensure reliability. To provide trustworthy information, Kitchen2Company integrates Bright Data to surface official government resources, helping users quickly access relevant portals such as FSSAI, GST, UDYAM, and other regulatory requirements. The platform also generates a personalized launch roadmap and downloadable PDF report that entrepreneurs can use throughout their business registration journey. Built primarily using native.builder, Kitchen2Company demonstrates how AI can transform complex government compliance processes into a simple, guided, and personalized experience. Our goal is to reduce confusion, save time, and empower aspiring entrepreneurs to confidently move from a home kitchen to a registered food business.