Best Alternatives to Bright Data (2026)

Bright Data dominates the web data infrastructure space with its large proxy network and pre-built datasets pulled from major platforms like Zillow, Redfin, and MLS. Yet it’s not the only player in the game. Whether you’re looking for lower-cost proxy options, specialized real estate data, or AI-powered extraction without rule-writing, several strong alternatives exist. This guide covers eight key competitors and overlapping solutions to help you find the right fit for your data needs.

The choice between these platforms depends on your primary use case: do you need raw proxies for custom scraping, pre-built real estate datasets, or intelligent extraction APIs? We’ve examined each to show you what each sells, who benefits most, and what pricing looks like.

Quick Ranked Alternatives List

• Apify — A web scraping platform with pre-built Actors for Zillow, Realtor.com, and other real estate sites; best for developers and teams that want managed scrapers without managing proxies.
• Oxylabs — A proxy and scraping API provider with 175M+ residential IPs and structured data extraction; best for enterprises needing scale, reliability, and geo-targeted collections.
• Smartproxy — An affordable residential proxy network with 100M+ IPs and built-in scraping APIs; best for startups and small teams balancing cost and performance.

Comparison Table

Detailed Alternatives

Apify

Apify is a web scraping platform that lets developers and non-coders extract data from websites using pre-built automation tools called Actors. It handles the infrastructure, proxy rotation, and data parsing, so you don’t have to manage lower-level proxy pools or write custom extractors from scratch. The platform is widely used for real estate data collection, offering ready-made scrapers for Zillow, Realtor.com, Redfin, and dozens of other sites.

Key features

• Pre-built Actors for real estate (Zillow, Realtor.com, Redfin, Housing.com) and other verticals
• Serverless cloud execution with no infrastructure to manage
• Data export in JSON, CSV, HTML, Excel, XML, and other formats
• Integrated proxy support and browser automation via Playwright
• Scheduling and monitoring with webhooks for automated recurring runs

Best for

Teams that want managed, production-ready scrapers without maintaining custom code or proxy infrastructure. Ideal for investors, researchers, and platforms doing market analysis or lead generation on property listings. The free tier provides $5 monthly credits, and subscriptions start around $49/month for recurring extractions.

Pricing

Apify uses a pay-per-result model. Free monthly credits ($5) come with the free plan. Most pre-built Actors cost $0.002–$0.002 per result; for example, Zillow scrapers run about $2 per 1,000 results. Starter plans begin at $49/month with monthly allowances (e.g., up to 24,500 Zillow results). Enterprise and custom actor builds are available by quote.

Oxylabs

Oxylabs is a large-scale proxy and web data platform offering residential, datacenter, mobile, and ISP proxies alongside Web Scraper APIs and AI-native tools. With over 175 million residential IPs across 195 countries and structured data output, it targets enterprises and data teams that need high uptime, geo-targeted extraction, and automation at scale. The company also provides AI Studio for natural-language data queries and a headless browser service.

Key features

• 175M+ residential IPs, 2M+ datacenter IPs, mobile and ISP proxies; 99.9% uptime
• Web Scraper API with pre-built targets for e-commerce, travel, real estate, and SERPs
• AI Studio: AI-powered scraper, crawler, browser agent, and map tools for natural-language queries
• JavaScript rendering, CAPTCHA solving, and custom parsing with XPath/CSS selectors
• Integration with automation tools and 24/7 technical support

Best for

Enterprise teams and data-heavy workflows that demand reliability, complex geo-targeting, structured API output, and seamless scaling. Strong for market intelligence, real estate pricing analysis, and competitive monitoring. Oxylabs suits large-scale operations where uptime and success rate are non-negotiable.

Pricing

Oxylabs uses a pay-per-request model, starting from around $1.60 per 1,000 results for Web Scraper API. Residential proxy plans require higher minimum commitments and are custom-quoted based on geographic scope, volume, and IP rotation needs. Enterprise agreements are common; trials are available.

Smartproxy

Smartproxy offers residential and datacenter proxies alongside scraping APIs, targeting cost-conscious teams and freelancers. With 100 million residential IPs across 200+ countries, it balances affordability with global coverage. The platform includes geo-targeting down to city level and supports both rotating and sticky IP sessions, making it accessible for developers without specialized DevOps.

Key features

• 100M+ residential IPs across 200+ countries with country, state, city, and ASN targeting
• Rotating and sticky session modes; HTTP and SOCKS5 protocols
• Scraping APIs with automatic CAPTCHA solving and header injection
• 99.99% success rate and 99.9% uptime for stable collections
• REST API and SDKs for Python, Node.js, and Go

Best for

Startups, freelancers, and small-to-mid-size teams needing reliable proxies without enterprise-level costs. Good for ad verification, price monitoring, and web scraping projects that don’t require the absolute highest scale. User-friendly dashboard and responsive 24/7 support appeal to teams without dedicated proxy expertise.

Pricing

Smartproxy pricing is traffic-based with no bandwidth or speed limits. Plans start around $75–$150/month for small teams, scaling with usage. Pay-as-you-go options are available, though exact per-gigabyte rates vary. Free trial credit is included for new accounts to test the service before commitment.

Diffbot

Diffbot uses artificial intelligence, computer vision, and machine learning to extract structured data from any website without writing extraction rules. Instead of rule-based scrapers that break when pages change, Diffbot classifies pages into standard types (e.g., product, article, organization) and automatically identifies key fields. It’s built for teams that want to minimize maintenance and handle diverse or frequently changing page layouts.

Key features

• Computer vision and machine learning for automatic page classification (20+ page types)
• Rule-less extraction: no parsing logic to maintain when layouts shift
• Web Crawl: spider and extract complete data from entire sites
• Knowledge Graph: query billions of entities (people, companies, articles) with relationships
• Natural Language Processing for extracting entities, relationships, and sentiment from text

Best for

Teams focused on product data, news content, and organizational intelligence where page structure varies or changes frequently. Strong for content discovery, market research, and lead enrichment. Ideal when you want extraction without ongoing maintenance overhead or when scraping across diverse site layouts.

Pricing

Diffbot does not publicly display standard pricing tiers. Pricing is typically custom and tied to query volume, Knowledge Graph access, and API calls. A free tier is available for testing, but production use requires custom negotiation with the sales team.

ATTOM Data

ATTOM is a property data specialist covering 160 million U.S. properties with standardized, enterprise-ready datasets. It aggregates tax assessor records, transaction histories, foreclosure filings, mortgage data, and neighborhood information from thousands of county sources. Rather than relying on web scraping, ATTOM licenses data directly from public records and enriches it with AI analytics and automated valuation models.

Key features

• 160M+ U.S. properties with 70+ billion rows of transactional data and 9,000+ discrete attributes
• Property, ownership, transaction, foreclosure, mortgage, and neighborhood data all in one schema
• Property Data API, bulk licensing, AI-native cloud delivery, and MCP Server integration
• Automated Valuation Models (AVMs), market analytics, and property risk scoring
• Enterprise Data Management Program (EDMP): 20-step validation and standardization process

Best for

Real estate professionals, appraisers, lenders, insurance firms, and researchers needing authoritative, standardized property data across the United States. Excellent for portfolio analytics, underwriting, market research, and regulatory reporting. Teams that need deep, multi-decade property history and structured data without scraping fragmented county records.

Pricing

ATTOM does not publish standard pricing on their website. Custom licensing agreements are negotiated based on data scope (e.g., specific counties or nationwide), delivery method (API, bulk, cloud), and update frequency. Free trials and developer sandboxes are available; contact sales for a quote.

Browse AI

Browse AI is a no-code automation platform designed for business users, marketing teams, and analysts without coding skills. It lets you set up data extraction from any website by recording actions in your browser, and the AI learns to adapt when pages change. It’s particularly strong for monitoring, scheduled extraction, and feeding data into downstream tools like Slack or Google Sheets.

Key features

• Visual no-code bot builder: record actions and the AI learns the pattern
• Automatic page layout adaptation; bots don’t break when websites update
• Scheduled extraction and monitoring with alerts and webhooks
• Integration with Slack, email, Google Sheets, Zapier, and Make
• Cloud-hosted execution; no infrastructure or proxies to manage

Best for

Non-technical marketers, analysts, and small business teams that need data extraction and monitoring without coding. Ideal for competitor tracking, price changes, job posting monitoring, and lead scraping. Strong when you want to avoid proxy and infrastructure setup while keeping maintenance minimal.

Pricing

Browse AI pricing details are not prominently listed online; plans are subscription-based with free trials available. Costs vary by number of bots, task frequency, and data volume. Contact the sales team for a custom estimate suited to your monitoring and extraction needs.

CoreLogic

CoreLogic is a major provider of property data and insights for the real estate, mortgage, and insurance industries. It aggregates public records, property characteristics, title data, flood risk, valuation models, and market analytics. Unlike platforms focused on data extraction, CoreLogic offers licensed, quality-assured data integrated into analytics dashboards and valuation tools.

Key features

• Millions of U.S. property records with ownership, transaction, and title information
• Valuation models, automated property valuations, and appraisal support tools
• Risk and analytics: flood risk, natural hazard exposure, credit risk scoring
• Mortgage and lending data; foreclosure and distress indicators
• Integration into CRM, LOS, and valuation software via API and bulk feeds

Best for

Real estate professionals, appraisers, mortgage lenders, insurance underwriters, and property investment firms that rely on authoritative, integrated property intelligence. Essential for valuation, underwriting, and regulatory compliance. Strong for teams that need both data and embedded analytics in a single platform.

Pricing

CoreLogic pricing is not publicly listed and depends on licensing scope, data products selected, and integration depth. Pricing is typically per-property, per-month, or per-API-call, with enterprise negotiation. Contact CoreLogic directly for a custom proposal based on your use case.

Estated

Estated provides parcel-level property data and ownership records sourced from U.S. tax assessor offices and public records. It focuses on affordability and simplicity, offering standardized parcel data, tax assessor details, and owner information in easy-to-integrate formats. Estated serves proptech platforms, real estate investors, and marketers who need foundational property data without complexity.

Key features

• Parcel-level data: ownership, tax assessor details, square footage, lot size, characteristics
• United States coverage with standardized schema across counties
• API access and bulk export in JSON and CSV
• Owner contact information and historical transaction summaries
• Affordable per-record pricing; scalable for startups and platforms

Best for

Proptech startups, real estate investors, marketers, and platform builders seeking affordable, standardized property data. Good for building mailing lists, geographic analysis, and property enrichment without enterprise licensing overhead. Ideal when you need core parcel data and ownership intelligence at scale without high per-record costs.

Pricing

Estated offers flexible per-record pricing, typically starting at a few cents per property. Volume discounts apply for bulk exports and API queries. Plans scale from starter tiers ($0.05–$0.10 per record in bulk) to higher-volume enterprise agreements. Visit their website or contact sales for exact per-volume rates.

FAQ

How does Bright Data compare to Apify?

Bright Data is a proxy and data marketplace; you get raw IP access and pre-built datasets but manage more of the infrastructure. Apify is a higher-level platform with managed Actors and built-in proxies, so it requires less DevOps knowledge. Apify is better if you want production-ready scrapers; Bright Data suits teams building custom extraction pipelines.

Which alternative is best for real estate data?

ATTOM Data, CoreLogic, and Estated are specialized for real estate with pre-licensed, standardized property records. If you need recent rental or listing data, Apify and Oxylabs let you scrape Zillow, Realtor.com, and other platforms. Choose licensed data providers for historical, regulatory, or deep market analytics; choose scrapers for current listings and pricing.

What if I want the lowest cost?

Smartproxy offers the most affordable residential proxy access for startups. For no-code simplicity, Browse AI is free to try. Estated and Apify have lower per-record and per-result pricing than enterprise providers. However, \”lowest cost\” depends on your use case: licensed data (ATTOM, CoreLogic) may be cheaper than scraping at scale.

Can these alternatives replace Bright Data entirely?

Possibly, depending on your use case. If you need raw proxies for custom code, Oxylabs, Smartproxy, or even Apify proxies will work. If you need real estate data, ATTOM or CoreLogic are stronger. For no-code extraction, Browse AI or Diffbot are simpler. For most teams, one primary platform (e.g., Apify or Oxylabs) plus a specialized data provider (e.g., ATTOM) replaces Bright Data.

How do pricing models differ?

Proxy-first vendors (Oxylabs, Smartproxy) charge by traffic or IP count. Scraping platforms (Apify, Diffbot) charge per result or per API call. Real estate data providers (ATTOM, CoreLogic, Estated) charge per property, per license, or per subscription tier. Choose based on your volume and whether you’re paying for raw access (proxies) or finished data (property records).