Bright Data offers comprehensive web scraping and proxy services, helping businesses collect and analyze public web data from multiple sources globally. It supports organizations in bypassing blocks, managing proxies, and extracting datasets seamlessly. Its solutions cater to enterprises needing large-scale data for market research, competitive analysis, SEO, and more.
Features
AI Training Data
Bright Data offers industry-specific datasets to train AI models, including LLMs, for tasks like natural language processing, recommendation systems, and predictive analytics.
Structured Datasets: Access over 5 billion LLM-ready records from 100+ domains, refreshed monthly for accuracy and relevance.
Web Archives: Retrieve petabytes of pre-collected HTMLs and SERPs in over 100 languages, ideal for AI applications requiring historical data.
Custom Datasets: Automate dataset creation for AI training with precise filtering and customization, ensuring datasets align with your specific AI needs.
Serverless Scraping for AI Pipelines
Bright Data’s Serverless Scraping allows users to create scalable AI data pipelines. With built-in proxies, browsers, and unblocking mechanisms, the platform supports unlimited concurrent sessions, ensuring seamless data extraction for AI models.
Retail Insights Powered by Machine Learning
Bright Data’s Retail Insights uses machine learning to analyze market trends and consumer behaviors, providing businesses with actionable insights for AI-driven decision-making.
SERP API for AI and SEO
The SERP API delivers real-time search engine data for AI-powered SEO tools. This helps optimize search engine performance through data-driven strategies, making it ideal for developing AI tools focused on digital marketing and content optimization.
Other Features
Residential Proxies: 72+ million real-peer IPs across 195 countries for accurate data collection.
Datacenter Proxies: High-speed, reliable proxies for efficient data extraction.
Mobile Proxies: Global mobile IPs for mobile-specific data collection.
Web Unlocker: Simplifies bypassing CAPTCHAs and restrictions with a single API.
SERP API: Quick search engine data scraping for SEO and marketing insights.
Scraping Browser: Scalable, unblockable scraping with built-in proxies.
Custom Datasets: Automated dataset creation tailored to specific needs.
Use Cases
AI-Powered SEO Tools: Utilize SERP API data to build AI models that optimize search rankings and improve website visibility.
Automated Customer Insights: Use Bright Data’s datasets for training AI models that generate customer insights in real-time.
eCommerce: Extract product, price, and review data for market comparison.
Social Media Monitoring: Gather insights for targeted marketing campaigns.
Real Estate: Collect property data from platforms like Zillow for market analysis.
Ad Tech: Monitor and analyze competitor advertisements.
Financial Services: Analyze market trends and sentiment from various data sources.
Travel Industry: Gather flight, hotel, and pricing data for customer insights.
Data Security: Test security protocols with anonymized browsing and data collection.
Pricing Plan
Pricing for AI Data Solutions
AI Training Datasets: Starting at $2.5 per 1,000 records, with volume discounts.
Web Archives: Starting at $0.02 per 1,000 HTMLs.
Serverless Scraping: Starting at $4 per 1,000 pages.
Retail Insights: From $1,000 per month, tailored for machine learning applications.
Residential Proxies: Starts at $5.88 per GB.
Datacenter Proxies: Starts at $0.9 per IP.
Mobile Proxies: Starts at $5.88 per GB.
Scraping APIs: Starts at $0.7 per 1,000 requests.
Dataset Marketplace: Starts at $500 per month.
Custom Datasets: Starts at $300 per month.
Retail Insights: Starts at $1,000 per month.
Pros and Cons
Pros
Vast proxy network with over 72 million IPs.
Compliance with GDPR, CCPA, and other regulations ensures ethical data collection.
Advanced features like Web Unlocker and serverless scraping functions.
Cons
Pricing may be steep for small businesses or startups.
Requires technical knowledge for full utilization of tools and APIs.
Bright Data offers industry-specific datasets to train AI models, including LLMs, for tasks like natural language processing, recommendation systems, and predictive analytics.
Structured Datasets: Access over 5 billion LLM-ready records from 100+ domains, refreshed monthly for accuracy and relevance.
Web Archives: Retrieve petabytes of pre-collected HTMLs and SERPs in over 100 languages, ideal for AI applications requiring historical data.
Custom Datasets: Automate dataset creation for AI training with precise filtering and customization, ensuring datasets align with your specific AI needs.
Serverless Scraping for AI Pipelines
Bright Data’s Serverless Scraping allows users to create scalable AI data pipelines. With built-in proxies, browsers, and unblocking mechanisms, the platform supports unlimited concurrent sessions, ensuring seamless data extraction for AI models.
Retail Insights Powered by Machine Learning
Bright Data’s Retail Insights uses machine learning to analyze market trends and consumer behaviors, providing businesses with actionable insights for AI-driven decision-making.
SERP API for AI and SEO
The SERP API delivers real-time search engine data for AI-powered SEO tools. This helps optimize search engine performance through data-driven strategies, making it ideal for developing AI tools focused on digital marketing and content optimization.
Other Features
Residential Proxies: 72+ million real-peer IPs across 195 countries for accurate data collection.
Datacenter Proxies: High-speed, reliable proxies for efficient data extraction.
Mobile Proxies: Global mobile IPs for mobile-specific data collection.
Web Unlocker: Simplifies bypassing CAPTCHAs and restrictions with a single API.
SERP API: Quick search engine data scraping for SEO and marketing insights.
Scraping Browser: Scalable, unblockable scraping with built-in proxies.
Custom Datasets: Automated dataset creation tailored to specific needs.
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