Bright Data Scraping Browser

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Bright Data Scraping Browser

The Bright Data Scraping Browser is a cloud-hosted, managed browser environment that developers control using Playwright, Puppeteer, or Selenium. Unlike a self-hosted headless browser, all proxy routing, CAPTCHA solving, browser fingerprinting, and retry logic are handled automatically by Bright Data's infrastructure, so scripts focus on data extraction rather than unblocking.

General
Developer	Bright Data
Type	Managed Cloud Browser API
Protocols	Playwright, Puppeteer, Selenium
Documentation	docs.brightdata.com/browser
Python Boilerplate	brightdata/bright-data-browser-api-python-playwright-project

Core Features

Playwright, Puppeteer, and Selenium compatible: connect your existing scripts to the managed browser via a CDP (Chrome DevTools Protocol) endpoint, no SDK change required.
Built-in proxy rotation: each session is automatically routed through Bright Data's residential or datacenter proxy network.
CAPTCHA auto-solving: CAPTCHAs are solved in the background without script-level intervention.
Browser fingerprint management: browser signatures are rotated and normalised to avoid detection.
JavaScript rendering: full JS execution before data extraction, suitable for SPAs and dynamically loaded content.
Auto-scaling infrastructure: browser instances scale with your request volume; no pool management required.

Tools and Resources

Python Playwright Boilerplate: ready-to-run Python example project connecting Playwright to the Scraping Browser.
API Documentation: endpoint reference and session configuration options.
Control Panel: create browser zones and retrieve CDP connection strings.

Ecosystem and Integrations

Works alongside Bright Data proxy zones for granular proxy type selection per browser session.
Output can feed directly into structured data pipelines, databases, or AI training corpora.
Combined with the Web Unlocker for layered unblocking on particularly difficult targets.
The MCP Server exposes browser automation capabilities to AI agents without requiring direct Playwright scripting.

Connect your Playwright or Puppeteer scripts to the managed browser at brightdata.com/products/scraping-browser or follow the quickstart documentation.

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Bright Data Bright Data Scraping Browser AI technology Hackathon projects

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

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.

VanTage - Due diligence, on a timeline

Private equity associates spend roughly 40 hours per target on preliminary due diligence—a full week lost to browser tabs, public filings, news archives, and litigation records, manually stitched into something an investment committee will trust. Most of that week isn't analysis; it's gathering. Vantage does it in 40 seconds. Point it at a company and it pulls from 12 distinct web sources at once, assembling them into a live knowledge graph: a connected map of the target's people, financials, legal exposure, customers, suppliers, and reputational signals. Relationships that normally take days to cross-reference appear instantly—the board member sitting on a competitor's audit committee, the lawsuit filed quietly three states away, the executive churn that began before the numbers softened. Red flags don't wait to be found. Vantage automatically surfaces litigation spikes, leadership departures, restatements, and regulatory actions, ranked and explained. A 90-day time slider lets you drag through recent history and watch the target's profile change—because knowing when something shifted is often more revealing than knowing that it did. Every claim is cited back to its source, so partners can audit it and committees can rely on it. Every memo lands IC-ready. This defensibility is powered by Bright Data, whose reliable, large-scale, structured web access makes a trustworthy knowledge graph possible where brittle scrapers and stale databases fail. We target middle-market PE associates—the highest willingness-to-pay segment in B2B software, where seats command $500–$2,000 per month. Their time is billed against nine-figure decisions, and a single avoided bad deal or faster close justifies the spend many times over. Vantage turns the most tedious week in the deal process into a 40-second starting point.

ROGUE: Open-web LLM Threat Intelligence Agent

A new way to jailbreak AI appears on Reddit, X, or arXiv almost every day. By the time a quarterly red-team catches it, it has already worked on a production chatbot. ROGUE closes that gap , the red-team that never sleeps. ROGUE is an autonomous red-team agent. It continuously harvests new LLM attacks from 19 live open-web sources — Reddit/X jailbreak communities, arXiv, GitHub (the Pliny umbrella), HuggingFace, MITRE ATLAS, OWASP, and vendor safety blogs — then reproduces each against YOUR deployment: your system prompt, your declared tools, your target model, scored together. Not a bare model. Not a frozen test bank. Your actual setup, against today's attacks. It's the only project here using Bright Data MCP on BOTH sides. As a consumer, the discovery agent reasons over Bright Data's MCP tools (Web Scraper, SERP, Web Unlocker, Scraping Browser) to reach sources that block bots. As a producer, ROGUE exposes its own MCP server. Try it now ,the dashboard has one-click "Add to Cursor / VS Code" buttons, and the hosted endpoint (rogue-api-mr5w.onrender.com/mcp) needs zero setup. Connect it and ask, from your own IDE, "what new attacks broke our support bot in the last 24 hours?" — live, during judging. The numbers are real, not a demo fixture. One live sweep: 8,321 breach trials across 6 deployment configs, a 16.5× vulnerability spread between weakest and strongest model. A separate judge scores every trial (REFUSED / EVADED / PARTIAL / FULL) and is calibrated against blind human labels, 98% breach-axis agreement, validated on WildGuardTest and StrongREJECT, not "trust the AI." Bright Data spend: $0.15 per detected breach. Publication-to-breach: ~2 minutes. It also red-teams multimodally, rendering text attacks as images and audio, because a jailbreak refused as text often succeeds as a picture of that text. Built solo in 6 days. Prior: GPTFuzz Grand Prize (Yonsei, 2024) and adversarial-ML research at AIM Intelligence.

SupplyPulse

SupplyPulse is an AI-powered delivery exposure platform for enterprise supply chain teams managing critical equipment deliveries across global suppliers, countries, and routes. The platform helps teams identify high-pressure deliveries, understand why they need attention, verify the external evidence behind the findings, and generate business-ready reports. For the demo, SupplyPulse is connected to the NorthBridge Energy Infrastructure workspace for the Singapore Data Center Phase 2 program. It analyzes equipment delivery records, planned need dates, forecast arrivals, source countries, destination countries, and external exposure queries. The user can ask one business question, and SupplyPulse runs an agent pipeline that checks schedule pressure, geopolitical issues, trade and tariff exposure, and route logistics concerns. Bright Data API is used to gather fresh external web evidence, a Source Quality Filter keeps useful sources, and Gemini reasons over the filtered evidence to generate summaries, recommendations, limitations, reports, and an audit trail. SupplyPulse turns static delivery tracking into an evidence-backed workflow for faster, more confident supply chain decisions.

Verified News

**Verified News** is a real-time narrative verification platform that combats misinformation by autonomously fact-checking claims against live web data, social signals, community notes, and fact-checking databases. Where services like Ground News show *bias*, Verified News answers a harder question: **is it true?** The platform deploys a multi-agent swarm built on **CrewAI**, powered by **Bright Data's** full web data infrastructure (MCP Server, SERP API, Web Unlocker, Scraping Browser, Web Scraper API), with all reasoning running through **AI/ML API** and **Gemma 4 31B**. Verdicts are delivered as color-coded trust badges (🔵 Blue, 🟢 Green, 🟡 Yellow, 🟠 Orange, 🔴 Red, ⚪ Gray) with full evidentiary transparency. For **enterprises**, Verified News is two products in one: - ** Security & Compliance:** A threat intelligence layer that detects disinformation campaigns, false product recall rumors, fake executive statements, and leaked data narratives before they crater stock prices or trigger regulatory action. - ** GTM Intelligence:** A brand health and competitive intelligence platform that verifies market narratives and competitor claims, giving revenue teams accurate ground truth for messaging and positioning.

SpoofVane — AI Brand-Impersonation Defense

/ 600 chars, max 2000 chars) Paste this (≈1,950 chars): SpoofVane catches brand-impersonation infrastructure the day it goes live by fingerprinting the page itself, not just the domain name. The problem: phishing kits clone a brand's login and payment pages, hide behind Cloudflare, geo-target the victim country, and actively block security scanners. Domain-only tools miss them. How it works: 1. Discovery — 8 sources surface suspect URLs per brand sweep: Google SERP + paid ads, certificate-transparency logs, newly-registered-domain deltas, app stores and APK sideloads, GitHub kit leaks, Telegram kit marketplaces, and social-platform impersonation. 2. Inspection — Bright Data's Scraping Browser, Web Unlocker, and geo-pinned residential proxies render each suspect page in real Chrome from the victim's country, reaching adversarial pages ordinary scanners can't. Multi-region rendering detects geo-cloaking. 3. Scoring — perceptual image hashing, DOM-tree similarity, logo detection, and favicon matching, plus phishing-kit family fingerprinting (16Shop, EvilProxy, Tycoon-2FA and more). 4. AI verdict — Claude reasons over the screenshot, DOM, and metadata to return a structured phish / suspicious / benign verdict with evidence and a drafted takedown notice. 5. Triage copilot — an agentic, read-only Claude tool-use loop an analyst works in natural language; it queries the alert store autonomously and cites alert IDs, but never sends a takedown — a human owns that gate. 6. Delivery — multi-tenant SOC console, evidence-pack PDFs, SIEM/SOAR webhooks (ServiceNow, Sentinel, Splunk, PagerDuty, STIX/TAXII, Slack), and an MCP server so analysts can query SpoofVane from inside Claude. Why Bright Data is essential: of any Track 3 entry, SpoofVane has the most load-bearing dependency. Without the adversarial-access stack it literally cannot reach the pages it exists to find. 7/7 Bright Data products integrated; 601 tests green; 76 backend modules.