5 Best Bright Data Alternatives in 2026 (More Affordable)
Bright Data costs $500+/month for most teams. We compare the best alternatives — Apify, Oxylabs, Smartproxy, ScrapeOps — with honest pricing and use-case guidance.
7 min read
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For 90% of teams, Apify is the best Bright Data alternative in 2026. It costs a fraction of the price, ships 39,000+ pre-built scrapers that handle proxy rotation and anti-bot measures automatically, and requires zero infrastructure to manage. If your use case is purely proxy infrastructure with custom scraping code, Oxylabs and Smartproxy offer comparable residential networks at lower cost than Bright Data.
Why Is Bright Data So Expensive?
Bright Data built its business around the world’s largest residential proxy network — 72 million IPs across 195 countries. Maintaining, sourcing, and managing that infrastructure at scale is genuinely expensive, and the company’s pricing reflects it.
The bandwidth-based model compounds costs. Bright Data charges primarily per gigabyte of data transferred through its proxies. Teams running high-volume scraping jobs — pulling thousands of product pages, monitoring prices daily, crawling news at scale — accumulate bandwidth costs fast. A team scraping 500,000 product pages per month can easily exceed $500–$1,000/month in bandwidth charges alone, before accounting for Scraping Browser or dataset API fees.
Enterprise-first positioning. Bright Data’s sales motion targets enterprise procurement teams, not individual developers. Its documentation, onboarding, and support tiers are built for organizations with dedicated data engineering budgets. The result: even teams with modest needs end up on pricing tiers designed for much larger organizations.
You bring all your own code. Bright Data provides infrastructure, not scrapers. Every data extraction workflow requires writing and maintaining custom code. That is a hidden cost — developer time — that does not appear on the invoice but absolutely affects total cost of ownership.
For teams that do not specifically need Bright Data’s residential proxy scale for the hardest anti-bot targets, these costs are entirely avoidable.
Comparison Table
| Feature | Apify | Oxylabs | Smartproxy | ScrapeOps | Zyte |
|---|---|---|---|---|---|
| Free tier | Yes — $5/mo credits | Trial only | 3-day free trial | Free proxy monitor | Limited trial |
| Proxy type | Datacenter + residential (built-in) | Residential, datacenter, ISP | Residential, datacenter | Proxy aggregator | Residential + datacenter |
| Pre-built scrapers | 39,000+ Actors | None | None | None | Scrapy-based spiders |
| Pricing model | Compute Units (time + resources) | Per GB bandwidth | Per GB bandwidth | Per 1,000 requests | Per GB + crawl credits |
| Starting cost (paid) | $29/month | ~$180/month | ~$75/month | $29/month | ~$25/month |
| Requires custom code | No (Actors handle it) | Yes | Yes | Yes | Yes (Python/Scrapy) |
| Best for | Most scraping teams | Proxy infra at scale | Budget proxy rotation | Python/Scrapy devs | Scrapy cloud deployments |
1. Apify — Best All-in-One Bright Data Alternative
The reason Apify beats Bright Data for most teams is architectural: Bright Data sells you the road and expects you to build the car. Apify hands you a fully built car for every destination.
Browse Apify’s Actor marketplace and you will find pre-built, actively maintained scrapers for Google Maps, Amazon, LinkedIn, Instagram, TikTok, Zillow, Indeed, Airbnb, and hundreds of other platforms. Each Actor is already configured with rotating proxies, browser fingerprint spoofing, rate limiting, and CAPTCHA handling. You configure what to extract, click Run, and receive structured data in JSON, CSV, or Excel — no code, no proxy configuration, no infrastructure to manage.
Key advantages over Bright Data:
- No bandwidth charges. Apify bills by Compute Units (CPU time + memory), not gigabytes transferred. A scrape that pulls 10MB of data costs the same as one that pulls 10GB, assuming comparable runtime.
- Dramatically lower entry cost. The free tier ($5/month, no credit card) covers hundreds of scrapes per month. The Starter plan ($29/month) handles workloads that would cost $300–$500/month on Bright Data.
- No code required for common targets. If someone has already built an Actor for your target site — and for any major platform, they have — you never write a line of scraping code.
- Full API and scheduling. Trigger runs via REST API, schedule on CRON, connect results to webhooks, Zapier, Google Sheets, or any downstream system.
- Built-in proxy pool. Apify’s residential and datacenter proxies are bundled into Actor runs. For targets that require higher-quality residential IPs, you can configure Apify Proxy independently.
When Apify is not enough: If your engineering team runs fully custom scraping code in Python/Node.js and needs to route those requests through a 72-million-IP residential network to defeat enterprise-grade bot defenses (Cloudflare Enterprise, PerimeterX at the hardest settings), Apify’s proxy pool may not match Bright Data’s raw scale and IP diversity. For that specific requirement, Oxylabs is the closer comparison.
Pricing:
- Free: $5/month in platform credits
- Starter: $29/month
- Scale: $199/month
- Business: $499/month
2. Oxylabs — Best Alternative for Pure Proxy Infrastructure
If Bright Data’s residential proxy scale is genuinely what you need — and you write your own scraping code — Oxylabs is the most credible alternative. It operates a 100-million-IP residential network (larger than Bright Data’s by count), offers ISP proxies, datacenter proxies, and a Web Unblocker API that competes directly with Bright Data’s Scraping Browser.
Where Oxylabs competes strongly:
- Residential proxy pool comparable to Bright Data in coverage
- Web Unblocker API handles JavaScript rendering and CAPTCHA solving
- More developer-friendly documentation and onboarding than Bright Data
- Pricing is generally 15–30% lower than equivalent Bright Data tiers
Where it falls short:
- No pre-built scraper marketplace; you write all extraction logic
- Still expensive: residential proxies typically run $8–15/GB, meaning $150–$300 for moderate workloads
- Technical product — non-developers will struggle without support
Oxylabs makes sense for the rare team that genuinely needs maximum proxy scale and has in-house engineering to use it. For everyone else, the “bring your own code” model means hidden developer time costs that quickly eclipse the price difference versus Apify.
3. Smartproxy — Best Budget Residential Proxy Alternative
Smartproxy occupies the budget tier of the residential proxy market. Its network is smaller than Oxylabs or Bright Data (~65 million IPs) but covers all major geographies, and its per-GB pricing is significantly lower — typically $8–12/GB for residential versus $15–25/GB at Bright Data.
For teams with moderate proxy needs — a few hundred GB per month, standard anti-bot targets, no specific IP diversity requirements — Smartproxy delivers adequate performance at a price point that is hard to argue with.
Strengths:
- Lowest entry point among the proxy-focused tools on this list
- Residential, datacenter, ISP, and mobile proxy options
- Simple API with good documentation
- 3-day free trial with real proxy access
Weaknesses:
- IP pool quality varies by geography; some regions have thin coverage
- No scraper marketplace or pre-built extraction tools
- Scraping Browser equivalent (Headless Browser) is less mature than Bright Data’s
- Customer support is slower on lower tiers
Smartproxy is the right pick if you are currently paying full Bright Data residential rates for a workload that does not require maximum IP diversity, and you want to cut costs without switching proxy providers entirely. It is not a meaningful alternative if your actual pain point is maintaining custom scraping code or getting unblocked on the hardest targets.
4. ScrapeOps — Best for Developers Using Python/Scrapy
ScrapeOps is a developer-focused layer on top of the proxy ecosystem. Its core product is a Proxy Aggregator API — you send requests to ScrapeOps, and it routes them through the best-performing proxy provider for your target domain at that moment. Under the hood, it tests multiple proxy providers (including Bright Data, Oxylabs, Smartproxy, and others) and benchmarks them against your specific targets.
For Python developers running Scrapy spiders or custom scripts, ScrapeOps also provides a monitoring dashboard, Scrapy middleware, error tracking, and job scheduling — a thin but useful operations layer that none of the pure proxy providers offer.
Strengths:
- Pay-per-1,000-requests model is more predictable than per-GB billing
- Automatically routes through the best proxy for each domain
- Scrapy integration is excellent — drop-in middleware with minimal config
- Free tier for monitoring (proxy monitoring, not scraping)
- Starting paid plan at $29/month is the lowest entry point on this list
Weaknesses:
- You still write all your own scraping code
- Dependent on underlying proxy providers; quality is a function of their networks
- Not suitable for teams without Python/Scrapy experience
- No pre-built scrapers
ScrapeOps is a compelling Bright Data alternative specifically for the Python/Scrapy developer community. It removes the pain of choosing and managing proxy providers while keeping costs low. It is not a general-purpose replacement for teams without coding expertise.
5. Zyte (formerly Scrapy Cloud) — Best for Managed Scrapy
Zyte — formerly Scrapinghub, operators of the Scrapy open-source framework — offers a managed cloud platform for running Scrapy-based spiders. If your team already has Scrapy spiders in production and uses Bright Data primarily for IP rotation, Zyte is worth evaluating as a combined scraping-and-proxy platform.
Zyte’s AutoExtract API uses machine learning to extract structured data (article text, product information, job listings) from arbitrary URLs without writing per-site XPath rules — a capability Bright Data does not offer. For teams scraping diverse, unpredictable URLs at scale (news monitoring, research crawls), this reduces custom code significantly.
Strengths:
- Tight integration with Scrapy — the dominant Python scraping framework
- AutoExtract API handles generic content types without custom selectors
- Managed cloud execution with monitoring and job history
- Zyte API bundles proxy rotation into each request
Weaknesses:
- Python/Scrapy knowledge is effectively a prerequisite
- AutoExtract accuracy varies; complex pages require fallback custom code
- Pricing is less transparent than competitors — requires contact for production quotes
- Smaller community and marketplace than Apify
Zyte is the right Bright Data alternative for teams deeply embedded in the Python/Scrapy ecosystem that want to consolidate scraping infrastructure and proxy management into a single vendor. For everyone else, the learning curve and pricing opacity are obstacles.
When Does Bright Data Still Win?
Bright Data is genuinely the best tool in exactly one scenario: your engineering team needs maximum residential IP diversity to defeat the most aggressive bot defenses on the internet’s hardest targets.
Concrete situations where Bright Data remains the right choice:
- You are scraping major financial data providers (Bloomberg, Reuters terminals) that deploy enterprise-grade detection
- Your targets require hyper-specific geo-targeting at city or ZIP-code level across dozens of countries simultaneously
- You need mobile carrier IPs for apps that block datacenter and residential proxies
- You are an agency managing scraping infrastructure for Fortune 500 clients who require SLA guarantees and enterprise support contracts
If none of those scenarios describe your team, you are paying an enterprise premium for infrastructure you do not need. The tools on this list deliver better value for every other use case.
Verdict
For the vast majority of teams in 2026, Apify is the best Bright Data alternative — not because it replicates Bright Data’s proxy infrastructure, but because it makes most of that infrastructure unnecessary. When 39,000+ maintained scrapers handle anti-bot measures on your behalf, you rarely need to think about proxies at all.
Use Oxylabs if you write custom scraping code and need a residential proxy pool that matches Bright Data’s scale. Use Smartproxy to cut costs on standard proxy workloads. Use ScrapeOps if you run Python/Scrapy and want automatic proxy routing at low per-request cost. Use Zyte if you are invested in the Scrapy ecosystem and want managed cloud execution.
For everyone else: start on Apify’s free tier, find the Actor for your target site, and skip the infrastructure entirely.
Related reading:
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Hamza Alwan
Lead Scraper Specialist
Passionate about building efficient scrapers and helping businesses automate their workflows at scale.
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