Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

Bright Data

Bright Data (formerly Luminati Networks) is a web data collection platform founded in 2014 and headquartered in Netanya, Israel. The platform gives developers and data teams access to proxy infrastructure, web scraping APIs, browser automation, and pre-built datasets, all backed by a network of over 400 million IP addresses across 195 countries.

The company powers data pipelines for more than 20,000 organisations in AI, eCommerce, finance, and market research, and has established legal precedents around public web data collection through court rulings against Meta and X (Twitter).

General
CompanyBright Data
Founded2014 (rebranded from Luminati Networks in 2021)
HeadquartersNetanya, Israel
Websitebrightdata.com
Documentationdocs.brightdata.com
GitHubgithub.com/brightdata
TypeWeb Data Platform, Proxy Infrastructure, Scraping APIs

Core Products

Proxy Networks

Bright Data operates four types of proxy networks: residential (400M+ real-user IPs), datacenter, static ISP, and mobile proxies. Each type is suited to different scraping workloads, from high-volume crawling to bypassing geo-restrictions. Proxies are billed per GB or via monthly plans.

Web Scraper API

The Web Scraper API extracts structured data from 120+ websites with automatic unblocking, CAPTCHA solving, and JavaScript rendering built in. It includes 600+ ready-made scrapers for popular platforms and delivers results in JSON or structured formats.

SERP API

The SERP API returns real-time, structured search engine results from Google, Bing, Yandex, and four other engines. It covers 195 countries, supports geo-targeting, and charges only for successful requests.

Scraping Browser (Browser API)

The Scraping Browser is a fully managed browser that runs Puppeteer, Playwright, and Selenium scripts on Bright Data infrastructure. It handles fingerprinting, CAPTCHA solving, proxy rotation, and JavaScript rendering automatically.

Web Unlocker

Web Unlocker is a middleware layer that automatically bypasses bot detection, CAPTCHAs, and IP blocks. It sits between your scraper and the target site, handling the unblocking layer transparently.

Datasets

Ready-made datasets from 100+ popular platforms are available for direct download or scheduled delivery. Data is pre-collected, validated, and structured, making it suitable for AI training, market research, and competitive analysis without writing any scraping code.

MCP Server

The Bright Data MCP Server provides 60+ AI-ready tools for web search, page navigation, structured data extraction, and browser automation. It integrates with Claude, Claude Code, Cursor, and other AI coding environments that support the Model Context Protocol.

Developer Resources

Bright Data maintains Python and JavaScript SDKs, a CLI tool, and MCP server for AI agent integration. All products are available via REST API and work with standard HTTP client libraries.

Key Features

400M+ IP Network The proxy pool spans residential, datacenter, ISP, and mobile IPs across 195 countries, with city and carrier-level targeting available.

Built-in Unblocking Proxy rotation, CAPTCHA solving, browser fingerprinting, and retry logic are handled automatically across all product tiers, so scrapers do not need to implement these independently.

AI and Agent Integration The MCP server and AI SDK connect Bright Data tools directly to Claude, Cursor, and other LLM-based agents, giving them real-time access to web data without leaving the development environment.

Pay-per-Result Pricing Several products (SERP API, Web Scraper API) charge only for successful responses, reducing waste on failed requests.

Use Cases

AI Training Data Collection Teams use Bright Data's datasets and scraping APIs to gather public web data for fine-tuning models, building RAG corpora, and benchmarking.

Competitive Intelligence eCommerce and finance teams use SERP and Web Scraper APIs to monitor prices, rankings, and market signals across geographies in real time.

Market Research Ready-made datasets from social platforms, marketplaces, and review sites let analysts skip the scraping layer and work directly with structured data.

AI Agent Web Access Developer teams integrate the Bright Data MCP Server with Claude and other agents to give them live access to search results, page content, and structured extracts during task execution.

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Bright Data AI Technologies Hackathon projects

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

Spec6: The enterprise intelligence operator

Spec6: The enterprise intelligence operator

Spec6 uses Speechmatics in two distinct but connected ways: first as the live speech interface for the product, and second as a transcription engine for “spoken web” intelligence. That split is important, because this is not just “we added voice chat.” In the code, Speechmatics sits both at the front door of the system, where a user talks to Spec6 in real time, and deeper in the intelligence pipeline, where audio and video from the web can be converted into analyzable evidence. The live voice side starts in the frontend voice assistant at [/Users/nadhi/Desktop/win-win/src/frontend/react/chat/voice-assistant.tsx](/Users/nadhi/Desktop/win-win/src/frontend/react/chat/voice-assistant.tsx). The browser captures microphone input with `getUserMedia`, then converts the audio into the format Speechmatics expects: 16kHz mono PCM16. That matters because the browser does not just upload a blob after the user is done. It streams audio continuously in small chunks, which makes the experience feel like an actual assistant instead of a push-to-record form. The comment in that file describes the full loop clearly: mic input becomes PCM16, that stream goes to `/api/voice/transcribe/ws`, partial and final transcripts come back, and the final transcript is fed into the normal Spec6 agent loop. So the voice layer is not a separate AI product. It is an alternate input mode into the same reasoning engine that powers the rest of the app.

PriceGhost: Dynamic Pricing Forensic Exposé

PriceGhost: Dynamic Pricing Forensic Exposé

PriceGhost is a full-stack forensic intelligence platform that detects, measures, and cryptographically proves dynamic geographic pricing discrimination. THE PROBLEM: Corporations silently charge different prices based on your location, device, and browser fingerprint. 78% of consumers report feeling targeted by location-based pricing bias, yet proving it is nearly impossible. HOW IT WORKS: PriceGhost coordinates 10 simultaneous residential proxy scrapes across global coordinates (Mumbai, New York, London, Tokyo, Berlin, Sydney, Lagos, Buenos Aires, Dubai, Singapore) via Bright Data's Web Unlocker API. Each scrape rotates device fingerprints and captures raw HTML payloads. STATISTICAL FORENSICS ENGINE: Four custom mathematical algorithms run natively — Gini Coefficient of Spatial Inequality, Coefficient of Variation, Mann-Whitney U Significance Test (p < 0.05), and GDP Pearson Wealth Correlation — establishing courtroom-ready mathematical proof of pricing discrimination. AI-POWERED PARSING: When standard regex price extraction fails on complex HTML, Featherless AI's hosted Llama-3 model acts as a semantic fallback parser. AI/ML API generates authoritative natural language indictments styled as investigative exposés. COGNITIVE MEMORY: Cognee's semantic graph database indexes every pricing anomaly, enabling live queries against historical precedents to expose long-term corporate discrimination patterns. AUTOMATED ALERTS: TriggerWare webhooks automatically dispatch incident alerts to legal networks when Gini/Pearson indices flag "Severe" exploitation levels. EVIDENCE INTEGRITY: Every scrape result is sealed with SHA-256 cryptographic signatures and timestamp chains, producing immutable evidence packages exportable as courtroom-ready JSON dossiers. BUILT WITH: Next.js 16 (Turbopack), better-sqlite3 (7-table schema with WAL), Recharts composed visualizations, Leaflet dynamic trace maps.

PriceGhost: Dynamic Pricing Forensic Exposé

PriceGhost: Dynamic Pricing Forensic Exposé

PriceGhost is a full-stack forensic intelligence platform that detects, measures, and cryptographically proves dynamic geographic pricing discrimination. THE PROBLEM: Corporations silently charge different prices based on your location, device, and browser fingerprint. 78% of consumers report feeling targeted by location-based pricing bias, yet proving it is nearly impossible. HOW IT WORKS: PriceGhost coordinates 10 simultaneous residential proxy scrapes across global coordinates (Mumbai, New York, London, Tokyo, Berlin, Sydney, Lagos, Buenos Aires, Dubai, Singapore) via Bright Data's Web Unlocker API. Each scrape rotates device fingerprints and captures raw HTML payloads. STATISTICAL FORENSICS ENGINE: Four custom mathematical algorithms run natively — Gini Coefficient of Spatial Inequality, Coefficient of Variation, Mann-Whitney U Significance Test (p < 0.05), and GDP Pearson Wealth Correlation — establishing courtroom-ready mathematical proof of pricing discrimination. AI-POWERED PARSING: When standard regex price extraction fails on complex HTML, Featherless AI's hosted Llama-3 model acts as a semantic fallback parser. AI/ML API generates authoritative natural language indictments styled as investigative exposés. COGNITIVE MEMORY: Cognee's semantic graph database indexes every pricing anomaly, enabling live queries against historical precedents to expose long-term corporate discrimination patterns. AUTOMATED ALERTS: TriggerWare webhooks automatically dispatch incident alerts to legal networks when Gini/Pearson indices flag "Severe" exploitation levels. EVIDENCE INTEGRITY: Every scrape result is sealed with SHA-256 cryptographic signatures and timestamp chains, producing immutable evidence packages exportable as courtroom-ready JSON dossiers. BUILT WITH: Next.js 16 (Turbopack), better-sqlite3 (7-table schema with WAL), Recharts composed visualizations, Leaflet dynamic trace maps.

Briefing Forge

Briefing Forge

Briefing Forge is a Bright Data hackathon prototype that turns live public web data into source-backed briefing memos for meetings, sponsor research, and market intelligence. Instead of giving users a pile of search results, Briefing Forge retrieves current sources, filters noisy or low-value results, ranks relevance, and synthesizes the strongest signals into an executive-ready brief. Each brief includes recent signals, why they matter, risks or unknowns, smart questions to ask, recommended next steps, and cited sources. The app includes Demo Mode for reliable presentation examples and Live Mode powered by Bright Data SERP retrieval. It is privacy-forward and does not save prompts, briefs, sources, accounts, or user data.

Briefing Forge

Briefing Forge

Briefing Forge is a Bright Data hackathon prototype that turns live public web data into source-backed briefing memos for meetings, sponsor research, and market intelligence. Instead of giving users a pile of search results, Briefing Forge retrieves current sources, filters noisy or low-value results, ranks relevance, and synthesizes the strongest signals into an executive-ready brief. Each brief includes recent signals, why they matter, risks or unknowns, smart questions to ask, recommended next steps, and cited sources. The app includes Demo Mode for reliable presentation examples and Live Mode powered by Bright Data SERP retrieval. It is privacy-forward and does not save prompts, briefs, sources, accounts, or user data.

RevDev

RevDev

CaliSignal is an AI SDR and GTM intelligence platform built for California startups. It uses Bright Data live web signals to discover high-fit accounts, detect buying windows, score ICP match, and identify the right stakeholders before competitors reach them. The platform turns fragmented public signals like funding news, hiring activity, job posts, reviews, and web changes into prioritized pipeline, account briefs, outreach drafts, alerts, and action workflows. Instead of making SDRs manually research accounts, CaliSignal gives teams a live revenue cockpit that shows who to contact, why now, what to say, and what action to take next.