Best Proxies for Web Scraping in 2026
What Makes a Proxy Provider Good for Scraping
A proxy provider optimized for web scraping differs significantly from a general VPN or privacy proxy. Scraping-focused providers build their infrastructure around high concurrency, automatic rotation, diverse IP pools, and integration tools designed for programmatic access rather than manual browsing. The factors that matter most when evaluating providers for scraping use cases include pool size and diversity, success rate on protected targets, bandwidth pricing model, session control options, and API quality.
Pool size determines how many unique IP addresses are available for rotation. Larger pools reduce the chance of receiving an IP that the target website has already flagged from another user's activity. However, raw pool size is misleading without context because many IPs in a provider's claimed pool may be offline at any given time. Active concurrent availability matters more than total claimed IPs, and reputable providers publish both figures.
Success rate measures the percentage of requests that return the expected content rather than blocks, CAPTCHAs, or error pages. This metric varies dramatically by target website. A provider might achieve 99% success on a simple blog but only 70% on a heavily protected e-commerce site. Good providers publish success rate benchmarks for common targets and offer specialized products for difficult sites like Amazon, Google, and LinkedIn.
Integration quality often separates adequate providers from excellent ones. Well-designed proxy APIs offer clear documentation, working code examples in popular languages, responsive support teams, and dashboard tools for monitoring usage and success rates in real time. When problems arise at 2am during a critical data collection job, the quality of support and monitoring tools becomes immediately apparent.
Bright Data
Bright Data operates one of the largest proxy networks globally with over 72 million residential IPs spanning 195 countries. Their platform offers four proxy types (datacenter, residential, ISP, and mobile) through a unified dashboard and API. For web scraping specifically, they have built supplementary tools including the Scraping Browser (a cloud-hosted headless browser with built-in proxy rotation) and the Web Unlocker (an API that handles anti-bot bypass automatically).
Residential proxy pricing starts at approximately $8.40 per GB on pay-as-you-go plans, with volume discounts dropping to $6 per GB or lower on annual commitments exceeding 1 TB per month. Datacenter proxies cost roughly $0.06 per IP per day for dedicated IPs or $0.50 per GB for shared pools. Their ISP proxies run around $15 per GB, reflecting the premium positioning of these high-trust IPs.
Bright Data's strength is its completeness. You can start with datacenter proxies for easy targets, upgrade specific scrapers to residential when needed, and use their managed tools for the most difficult sites, all within one platform and one billing relationship. The weakness is complexity. Their dashboard has a steep learning curve, their pricing structure has many variables, and their documentation, while thorough, can be overwhelming for newcomers. Their compliance requirements (including a review process for new accounts) add friction to getting started but exist to maintain network quality.
Best suited for: enterprise teams running diverse scraping operations across many targets with varying difficulty levels who want one provider to handle everything.
Oxylabs
Oxylabs positions itself as the enterprise alternative with a pool of over 100 million residential IPs. Their infrastructure emphasizes reliability and geographic precision, offering city-level targeting across most major markets. Beyond raw proxies, they offer the Realtime Crawler (a managed scraping API similar to ScraperAPI) and SERP Scraper API specifically optimized for search engine result pages.
Pricing aligns closely with Bright Data, starting around $8 per GB for residential proxies on starter plans with discounts for higher volume commitments. Their datacenter proxies are competitively priced for bulk use at approximately $1.20 per IP per month in larger volumes, and their ISP proxy offering covers 20+ countries with static residential IPs starting around $2 per IP per month.
Oxylabs excels in customer support quality and documentation clarity. Their integration guides are well-organized with working code examples in Python, Node.js, Java, and other languages. Each product has dedicated onboarding assistance and a free trial period, making it low-risk to evaluate their network against your specific targets before committing to a paid plan. Their dedicated account managers for higher-tier plans provide genuine technical guidance rather than just sales pressure.
The main limitation is that their pricing for small-scale usage is not competitive with budget providers, and their minimum commitment levels on some plans exclude casual or experimental users. Teams scraping fewer than 20 GB per month may find better value elsewhere.
Best suited for: mid-to-large teams needing reliable residential proxies with strong support and clear documentation, especially those targeting search engines or needing precise geographic coverage.
ScraperAPI
ScraperAPI takes a fundamentally different approach by abstracting the entire proxy layer behind a simple HTTP API. Instead of configuring proxy servers, authenticating connections, and building rotation logic, you send a target URL to ScraperAPI's endpoint and receive the rendered HTML in response. Their system handles proxy selection, rotation, retry logic, CAPTCHA solving, and JavaScript rendering internally.
This abstraction dramatically reduces integration time. A complete scraping setup that might take hours with raw proxies can be running in minutes with ScraperAPI. You add a single API call wrapper around your existing HTTP requests, pass your target URL and optional parameters (country, render JavaScript, premium proxies), and receive clean HTML back. Their pricing uses a credit-based model starting at $49 per month for 100,000 successful API calls, scaling up to enterprise plans for millions of monthly requests.
The trade-off is control. You cannot select specific proxy types, implement custom rotation logic, or maintain persistent sessions with the same granularity that raw proxy providers offer. ScraperAPI decides internally which proxy to use and how to handle anti-bot challenges. For most standard scraping tasks this works well, but for specialized use cases requiring precise proxy control (like maintaining logged-in sessions or routing through specific ISPs), raw providers offer more flexibility.
ScraperAPI also offers structured data endpoints that return parsed JSON for common targets like Amazon product pages, Google search results, and Walmart listings. These eliminate the need to write your own parsing logic for supported targets, further reducing development time at the cost of flexibility.
Best suited for: small teams or individual developers who want scraping running quickly without building proxy infrastructure, especially for common targets where ScraperAPI has optimized its anti-bot bypass.
Smartproxy
Smartproxy occupies the mid-market position with a 55 million IP residential pool, competitive pricing, and straightforward tooling. Their residential proxies start at $7 per GB, making them one of the more affordable options for residential bandwidth without sacrificing meaningful quality. They support sticky sessions up to 30 minutes, city-level targeting in most countries, and both HTTP and SOCKS5 protocols.
Their integration is clean and well-documented with proxy endpoints that accept simple URL parameters for geographic targeting and session control. The dashboard provides real-time traffic monitoring and usage analytics without the overwhelming complexity of enterprise platforms. Smartproxy also offers datacenter proxies, ISP proxies, and a scraping API for users who want managed anti-bot bypass without building their own infrastructure.
Smartproxy works best for mid-scale operations that need residential quality without enterprise pricing commitments. Their no-subscription datacenter plans allow buying specific numbers of IPs without monthly minimums, which suits projects with variable or intermittent scraping needs. Their 3-day money-back guarantee reduces the risk of trying them out on new targets.
The limitation is that their pool is smaller than Bright Data or Oxylabs, which may matter for very large scale operations processing billions of requests monthly or those requiring IPs in uncommon geographic locations. For mainstream markets and moderate volumes, the smaller pool rarely causes issues.
Best suited for: mid-sized operations wanting residential proxy quality at competitive prices without enterprise commitment levels or platform complexity.
Budget Options Worth Considering
IPRoyal offers residential proxies starting at $5.50 per GB with no minimum commitment, making them accessible for testing and small projects. Their Royal Residential pool includes over 5 million IPs, which is sufficient for moderate-scale operations but limited for high-volume work targeting sites that require massive IP diversity. They also sell static residential (ISP) proxies individually starting at $2.40 per proxy per month, which works well for accounts requiring consistent IP identity.
Proxy-Seller provides dedicated datacenter proxies starting under $1 per IP per month in bulk. These work well for targets with minimal anti-bot protection where residential trust is unnecessary. Their server locations span 20+ countries with IPv4 and IPv6 options. For tasks like scraping public government data, academic archives, or unprotected APIs, datacenter proxies at this price point deliver excellent value.
Choosing Based on Your Use Case
For scraping e-commerce sites at scale with strong anti-bot protection, residential proxies from Bright Data or Oxylabs provide the highest success rates. For scraping search engines, consider providers with specialized SERP products that handle the unique challenges of Google and Bing scraping, including Oxylabs SERP Scraper API or Bright Data's SERP API. For general-purpose scraping of news sites, blogs, and directories with moderate protection, Smartproxy or IPRoyal provide sufficient quality at lower cost.
If your team lacks scraping infrastructure expertise or wants to focus on data analysis rather than plumbing, managed APIs like ScraperAPI eliminate the need to build and maintain proxy rotation, error handling, and retry systems. The per-request cost is higher, but the engineering time saved often justifies the premium, especially for teams under ten engineers where infrastructure distracts from core business logic.
Start with the cheapest option that achieves acceptable success rates on your specific targets. Run a small test batch of 1,000 to 5,000 requests against your actual target pages, measure the success rate, and compare that against the cost per successful request. Only upgrade to premium providers when your success rate on cheaper options drops below the threshold where retries and wasted bandwidth make the cheaper option effectively more expensive.
The best proxy for your scraping project depends on your target difficulty, budget, and technical resources. Test providers against your actual targets with small batches before committing to volume plans, and upgrade only when block rates justify the additional cost.