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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
DeveloperBright Data
TypeManaged Web Scraping API
Sites Supported120+
Ready-made Scrapers600+
Documentationdocs.brightdata.com/scraping
GitHubbrightdata/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.

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.

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.

VanTage - Due diligence, on a timeline

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.