Bright Data Web Scraper API

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Bright Data Web Scraper API

The Bright Data Web Scraper API is a cloud-based data extraction service that delivers structured data from over 120 popular websites without requiring proxy management or anti-bot handling code. Developers send a target URL or platform identifier and receive clean, structured JSON in return, with Bright Data handling unblocking, rendering, and parsing behind the scenes.

General
Developer	Bright Data
Type	Managed Web Scraping API
Sites Supported	120+
Ready-made Scrapers	600+
Documentation	docs.brightdata.com/scraping
GitHub	brightdata/sdk-python

Core Features

600+ ready-made scrapers: pre-built extractors for Amazon, LinkedIn, Instagram, TikTok, Zillow, and 115+ other sites, maintained by Bright Data.
Automatic unblocking: built-in proxy rotation, CAPTCHA solving, and fingerprint management so scrapers do not get blocked.
JavaScript rendering: pages requiring JS execution are handled server-side before data extraction.
Pay-per-result pricing: charges apply only to successful responses, not failed or blocked requests.
Structured JSON output: data returned in clean, schema-consistent JSON without HTML parsing.
Cloud scaling: no infrastructure to manage; requests scale automatically with demand.

Scraper Studio

Scraper Studio is an AI-powered scraper builder inside the Bright Data platform. Developers provide a URL and a description of the data they need, and the studio generates and deploys a working scraper. Self-Healing mode automatically updates scrapers when target sites change their structure, reducing maintenance overhead.

Tools and Resources

Python SDK: call the Web Scraper API from Python with async and sync support.
JavaScript SDK: Node.js, Bun, and Deno compatible client.
Bright Data CLI: scrape and extract data from 40+ platforms directly in the terminal.
API Reference: full endpoint documentation and payload schemas.
Scraper Studio: build and deploy custom scrapers in the browser without writing scraping logic.

Ecosystem and Integrations

Integrates with Bright Data proxy networks for combined infrastructure and extraction.
Available via the Azure Marketplace as a managed SaaS product.
Works alongside the MCP Server to expose scraping capabilities to Claude, Cursor, and other AI agents.
Data output can be piped into databases, data warehouses, or AI training pipelines.

Start extracting data in minutes at brightdata.com/products/web-scraper or follow the quickstart guide to make your first API call.

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Bright Data Bright Data Web Scraper API AI technology Hackathon projects

Discover innovative solutions crafted with Bright Data Bright Data Web Scraper API AI technology, developed by our community members during our engaging hackathons.

THE COUNCIL: Expert Advisors Who Fight For You

Everyone faces life-changing decisions alone. THE COUNCIL changes that by giving you your own personal advisory board. Submit your query—whether it's a high-stakes startup offer, career transition, or relocation—and watch five autonomous AI agents with distinct, persistent personalities deliberate in a live-streamed debate. Under the hood, THE COUNCIL is a multi-agent system built on Band.ai. Instead of a single LLM wearing five prompts, we deploy genuine model diversity: Qwen 2.5-32B (The Skeptic) analyzes risks, Llama-3.1-70B (The Strategist) identifies long-term growth, DeepSeek-R1-70B (The Numbers) quantifies quantitative metrics, Llama-3.1-8B (The Devil's Advocate) stress-tests consensus, and GPT-4o-mini (The Chair) synthesizes the room. The debate orchestration runs sequentially via FastAPI WebSockets to stream arguments as they are generated. Unlike typical chatbot wrappers, THE COUNCIL features heavy engineering depth: 1. Deterministic Stakes Classifier: Scores severity (1-10) and risk factors (cliff, vesting, relocation) deterministically without AI. 2. Live Market Grounding: Career queries trigger Brightdata web scraping to search salary listings, providing real-world benchmarks to 'The Numbers'. 3. Convergence Calculator: A custom algorithm that measures consensus (0.0-1.0) using position agreement and semantic text similarity. 4. Cryptographic 'Stare Decisis': Inspired by judicial tradition, it extracts minority dissents and SHA-256 hashes them directly into an immutable verdict chain. 5. 6-Table Database Persistence: Complete deliberation history mapping decisions, arguments, verdicts, evidence, and dissents in SQLite. Presented in an Apple-inspired editorial Next.js UI using stark light-mode whitespace, Playfair Display serif typography, and elegant card components with smooth micro-animations, the system feels alive, premium, and authoritative. Deliberation, not just generation.

AI Crisis Command & Coordination Platform

An AI Crisis Command & Coordination Platform is an enterprise-grade, multi-agent operational operating system designed to stabilize high-stakes chaos and synchronize real-time emergency responses during large-scale incidents (e.g., natural disasters, mass-scale cyberattacks, industrial failures, or civil defense threats). By acting as an intelligent "system of systems," the platform unifies disjointed physical and digital infrastructure into a singular, actionable operational layer. It transforms traditional reactive emergency management into a proactive, algorithmically assisted orchestration framework. 1. Core Structural Engine The platform's architecture shifts emergency management from rigid, manual workflows to an agile, automated data-to-action pipeline.Intelligent Data Ingestion: The platform continuously aggregates and cleans highly fragmented, multi-modal data streams in real time. This includes live IoT sensor grids, geospatial satellite imagery, municipal infrastructure feeds, encrypted field radio transcriptions, and external environmental APIs (weather, seismic activity, grid load). Autonomous Multi-Agent Orchestration: At its core, specialized AI agents operating on a shared, low-latency layer collaborate to manage sub-tasks simultaneously. For instance, if an industrial breach occurs, a Logistics Agent instantly calculates optimal route diversions, a Hazmat Agent models plume dispersion, and a Communications Agent drafts localized public warnings—all without human bottlenecks. Calibrated User Experience (UX): Designed specifically for high-stress operational environments, the user interface enforces strict visual hierarchy. It suppresses non-essential analytical noise, highlights high-priority triage vectors, and presents critical indicators through clean, digestible visual matrices to minimize cognitive overload for dispatchers and commandeR

Propflip

# PropFlip - Multi-Agent Real Estate Wholesale Pipeline A Band.ai-powered system for automated real estate deal sourcing, analysis, and coordination with human oversight. ## Description PropFlip automates the real estate wholesale process using 5 specialized Band agents that communicate through chat rooms to move deals from discovery to buyer matching. The system implements risk-tiered human approval gates to ensure proper oversight of external communications and financial decisions. **Core Workflow:** 1. **DiscoveryAgent** - Scans distressed properties, calculates investment potential using 70% rule 2. **VerificationAgent** - Validates title chains, checks liens, ensures deal feasibility 3. **NegotiationAgent** - Contacts sellers, negotiates terms, structures offers 4. **MatchingAgent** - Connects completed deals with cash buyers from database 5. **OrchestratorAgent** - Coordinates workflow, manages deal lifecycle **Human Oversight Model:** - **Tier 0** (Read-only): Auto-proceed, audit only - **Tier 1** (Internal): Auto-proceed, notify in chat room - **Tier 2** (External contact): Block until human approval - **Tier 3** (Contracts/money): Hard stop, manual handling required Each agent integrates the same HumanGate toolset for consistent risk management and audit trails. ## HumanGate Agent HumanGate is **not a separate Band agent** - it's a **shared toolset** that all PropFlip agents import and use for human oversight.

WheatGuard

WheatGuard is an innovative, end-to-end agricultural defense platform designed to protect wheat crops from destructive fungal diseases, focusing primarily on Leaf Rust early detection. The solution bridges advanced computer vision and practical farming requirements through three core components: 1. AI & Computer Vision: Utilizing state-of-the-art object detection models to analyze drone-captured aerial imagery of fields, ensuring high-accuracy diagnosis of initial rust pustules. 2. Multi-Agent System (Band Backend): Powered by an intelligent backend orchestration layer where autonomous agents communicate seamlessly. When field sensors or edge devices lack real-time network responses, the backup agent intelligently generates localized data and fallback daily status logs. 3. Android Mobile Application: A clean, accessible native application tailored for farmers. It displays live field telemetry, processes notifications from drone sweeps, and provides clear actionable ecological recommendations to contain outbreaks before they spread across the plot. By deploying WheatGuard, farmers can minimize chemical chemical overuse, target fungicide applications effectively, and safeguard food security through proactive, modern AI technology

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 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.