The Good Tech Companies - 12 Best Web Scraping APIs in 2025

Episode Date: November 17, 2025

This story was originally published on HackerNoon at: https://hackernoon.com/12-best-web-scraping-apis-in-2025. Discover the 12 best web scraping APIs of 2025, comparing performance, pricing, features, & success rates to help teams scale reliable data extraction. Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #web-scraping-apis-2025, #data-extraction-tools, #oxylabs-review, #decodo-smartproxy, #zyte-api-performance, #bright-data-scraping, #proxy-vs-scraping-api, #good-company, and more. This story was written by: @oxylabs. Learn more about this writer by checking @oxylabs's about page, and for more stories, please visit hackernoon.com. Web scraping APIs have replaced traditional scrapers by automating proxies, browser emulation, and anti-bot evasion. This guide reviews the top 12 APIs of 2025—Oxylabs, Decodo, ScrapingBee, Zyte, Bright Data, and more—comparing success rates, pricing, features, and ideal use cases. These APIs offer scalable, clean, and reliable data extraction for modern workflows.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. 12 best web scraping APIs in 2025 by OxyLabs. Clean, real-time data is guarded with increasingly sophisticated web defenses. To no surprise, this has made large-scale data acquisition one of the toughest challenges for any data-driven organization. Modern websites are armed with complex anti-bought systems, including dynamic JavaScript rendering, browser fingerprinting, and precise rate limits designed to crash all basic data collection scripts. These measures made traditional dedicated scrapers, often with simple libraries and basic IP

rotation, pretty much irrelevant. The effort spent on debugging broken selectors and constantly managing proxy infrastructure quickly outweighs the cost of already pre-made expert solutions. Web scraping APIs are these solutions. The fully managed API services deal with the entire infrastructure burden, from proxy rotation to antibody evasion. So, in this article, we'll check out the 12 best web scraping APIs in 2025 for high-efficiency data collection workflows. Best web scraping APIs, 1. Oxilabs, best all-around premium web scraping API. Two, Dakota, formerly smart proxy, best bang for the buck web scraping service. Three, scraping B, developer-friendly and cost-effective solution. 4. Zyte API, the fastest performance for real-time data. Five, bright data, the most feature-rich

platform for enterprise scale. What is a web scraping API? A web scraping API is basically an automated, easy-to-use web scraping tool that operates on cloud services. Think of it as hiring a professional data delivery service. Its main job is to do all the hard work of collecting information from designated web pages for you. You simply authenticate and send an API requirement. containing the target URL and any parameters, such as geolocation or rendering instructions. The API then controls the entire process. It selects and rotates an IP address, simulates a real browser, bypasses anti-bought measures like CAPTCHAs, and executes automated retries.

At its core, a web scraping API's aim is to return the target page's content is clean, structured data, typically JSON, ready for immediate use in various applications or data-heavy pipelines. pipelines. Proxies versus web scraping APIs. The biggest difference between a basic proxy solution and a modern web scraping API boils down to this. Do you want a tool to manage IPs or a fully automated machine to deliver data? Proxy service provides only IP anonymity and rotation. The developer retains high responsibility for all complex logic, including running the headless browser, managing cookies, implementing antibody evasion, and coding the retry mechanisms. It solves only the core IP blocking problem. Web scraping API, a full stack solution, provides complete

automation. The API integrates proxies, browser emulation, and anti-detection AI into one seamless service. It automatically handles all failures, rendering, and scaling, allowing developers to focus solely on data consumption. If your project requires low maintenance, guaranteed success, and high scalability across complex, dynamic target websites, the web scraping API is the only real choice. It eliminates all infrastructure overhead and allows your team to focus entirely on analyzing the resulting data. Best Web Scraping APIs in 2025. 1. Oxilabs is an industry leader renowned for its enterprise-grade infrastructure and specialized data solutions. Its flagship web scraper API is a single unified tool designed to excel across all complex targets, including

e-commerce and SERP, consistently delivering a high success rate of 90s. 50%. 50%. The API offers powerful features like AI-powered OxyCopilot parsing to simplify data structuring to JSON format, scheduling, and crawling capabilities, setting it apart from simpler APIs. Geolocation is highly granular, supporting over 150 countries and specific targeting down to zip codes for Amazon and cities for Google. Pricing is subscription-based and aimed at various structured data gathering operations, starting at $49 per month, while also offering custom pricing option for larger clients. Of course, if you just want to try it out first, a free trial is available with up to 2,000 requests for any testing needs. OxyLabs provides

professional 24-7 customer support, including dedicated account managers for premium plans. This makes it a top choice for businesses and developers who need a highly reliable, scalable, and fully managed solution to extract data in complex, large-scale operations. Pros. Highest successor rate, AI-driven parsing, enterprise-level compliance. Cons requires more technical know-how. 2. DeC-O-D-E-C-O-X-M-A-R-T-R-O-X-Y, Dakota, which rebranded from Smart Proxy, has established itself as a go-to provider for accessible and high-performing web scraping solutions.

Its main product, the Web Scraping API, is a strong tool that simplifies data extraction by integrating proxy management, headless browsers, and anti-bought measures into a single API call. The service strikes an excellent balance between success rate, 96, 29% and fast response time, 10-91s, making it highly reliable. Furthermore, it offers a range of extra tools, including a site unblocker and specialized APIs for social media, SERP, and e-commerce. Pricing IS subscription based with transparent, low monthly commitments. For example, Their SERP and e-commerce APIs start at just $30 for 15K requests. They also offer a seven-day trial or a 14-day money-back options for anyone to try the service for free.

Customer support is responsive and effective, available 24-7 via live chat and email. Overall, with proxies in over 150 countries and granular geo-targeting, Dakota is an excellent and cost-effective option for small to mid-sized businesses and developers hunting for the best price to performance ratio. Pros. Best price to performance ratio, transparent pricing, award-winning support. Cons. Feature access is tiered, core versus advanced plans. 3. Scraping B is lauded for its straightforward integration and developer-centric design, making complex web scraping highly accessible. The core product is a general-purpose web scraping

API that automatically manages proxy rotation, headless browsing execution, and JavaScript rendering. It maintains a strong success rate of 92, 69% with an average response time of 11.7s. The API includes specialized features like a Google Search API and I-powered data extraction. Pricing is transparent and credit-based, with plans starting at $49 per month for 150,000 credits, and a generous 1,000 credit-free trial is available without a credit card. Geolocation options are available and cover a decent range of countries, although city-level target, is limited. Customer support is solid, with a responsive team and very informative documentation. All in all, scraping B is a reliable option for individuals and small teams looking to

quickly get web scraping tasks up and running with a very budget effective solution. Pros Simple API design, transparent credit system, low entry barrier. Cons. Success rate is lower on heavily protected targets. E. G. Cloudflare. 4. ZYT.E.E.E.E.E.E. Appy Zite, leveraging its heritage as the creator of the Scrapey framework, offers a highly refined and performance-driven web scraping API. The Zite API is a unified solution that automatically selects the optimal scraping strategy for each target. In independent tests, its API proved to be the fastest service on this list, with an average response time of 6.61s in a high success rate of 98. 38%. The Zite API supports over 150 locations and offers advanced developed,

developer tools, including a TypeScript API for scripting detailed browser actions. Pricing is dynamic and usage-based, adjusting the cost per request based on the technical difficulty of the target site. A free trial that includes $5 in credit is a great way to start testing immediately. Customer support includes an asynchronous contact method and their documentation eyes extensive and well-maintained, perfect for scrappy users. Zite is a perfect fit for developers and technical teams who need a fast, reliable, and scalable API for high-volume, performance-critical projects.

Pros. Fastest Response Time, integrated with Scrapey ecosystem, highly reliable. Cons. Dynamic pricing can be unpredictable for non-technical users. 5. Bright Data-Bright Data stands as the market's most versatile and scalable provider, built in the industry's largest proxy network. It offers multiple powerful APIs, including the Web Scraper API and Web Unlocker, designed to bypass any anti-bought system with an excellent 97. 90% success rate, the sheer scale and variety of its tools are unmatched in the industry. Bright data supports the most granular geo-targeting available, offering city and ASN-level specificity across over 150 countries. Pricing is complex

but highly flexible, offering pay-as-you-go rates alongside high-volume subscriptions. For example, the WebScraper-1K records. However, a 7-4-1K records. However, a 7-7. day free trial is available only for business clients. Customer support is robust, featuring 24-7 live assistants and dedicated account managers for high-tier plans. Bright data is the essential choice for large enterprises and data-intensive operations where failure is not an option and maximum versatility is required. Prosage. Large IP network, precise geo-targeting. Cons expensive, pricing model is too complex for small teams. Six. Nimbleway Nimbleway. is rapidly gaining recognition for its focus on AI-driven anti-bot technology, making it highly

effective on modern dynamic sites. Its Web API UTI Liz's machine learning to adapt its scraping approach in real-time, evidence said be a strong success rate of 95, 48% in a response time of 13.0-1s. The platform offers specialized APIs for SERP, e-commerce, and maps, and includes AI-powered parsing to automatically structure data, minimizing post-extraction work. Pricing is usage-based, starting with a pay-as-you-go option at $3 per 1K requests, with predictable monthly subscription plans available. Customer support is solid, extending to direct channels like Slack for professional tiers. Geolocation covers over 150 countries, with support down to the state and city level. Nimble Way is the ideal solution for development teams who need a high-performance,

intelligent API capable of tackling constantly changing web defenses. pros, AI-driven anti-bot systems, good reviews, cons, newer player, higher cost than mid-market alternatives. 7. Scraper API serves as a reliable workhorse for developers, prized for ITS simplicity and direct, all-in-one functionality. The core scraping API handles rotating proxies, JS rendering, and CAPTCHA bypassing via a single API call, minimizing setup complexity. It also includes specialized endpoints for Amazon and Google data extraction.

Pricing is transparent and credit-based, with a plan starting at $49 per month for 100,000 API credits. A generous seven-day free trial with 5,000 credits is available. Performance in general tests shows a lower success rate of 67, 72% and a slower response time of 15. 39s, suggesting it struggles with heavy defenses. customer support is responsive via email and chat. Overall, Scraper API is an excellent entry-level choice for developers and small teams needing a simple, affordable, and easy to integrate solution for mid-scale tasks on less aggressively protected target websites. Pros, simple integration, transparent pricing, great documentation, cons, lower success rate than premium APIs, struggles with highly

defended sites. 8. API FY FY is more than just an API. It is a full-stack web automation platform that targets both coders and non-coders. The entire ecosystem runs via the API, allowing users to deploy custom code or utilize its vast marketplace of over a thousand pre-built scrapers called Actors. Appify's pricing is credit-based and highly flexible, starting with a generous free plan that includes $5 in platform credits monthly. Paid plans start at $39 per month, and include prepaid platform credits and data center proxies. Customer support is primarily community-driven, supplemented by priority support for paid tiers. Appify is best suited for tech-savvy users and businesses looking for a hybrid code, no-code solution

and complex workflow automation beyond simple data extraction. Pros Great for beginners, big marketplace of scrapers, actors, flexible no-code environment. Costs can escalate rapidly for very high-volume projects. 9. NETNUT specializes in enterprise-grade data extraction, building its API around an exclusive network of ISP and P2P residential proxies to ensure stability and high uptime. Its core product, the website Unblocker API, handles automated rotations for proxies

in advanced CAPTC, anti-bot logic. Performance is strong in latency, with a measured response time of 9. 71s, though general success rates stand at 80. 82% NetNUD also provides specialized APIs for SERP and social media and offers per collected datasets. Pricing is tailored for high-volume enterprise users, with plans starting from $800 per month. A seven-day free trial is offered for businesses. Customer support includes 24-7 assistance with dedicated account managers for large contracts. NetNud is best suited for enterprise clients requiring a stable, high-speed solution and dedicated support for mission-critical data streams.

Pros High reliability via ISP networks, fast response time, wide coverage. Cons. Pricing is not beginner-friendly, high entry cost. 10. SOAXSOAX provides a highly versatile and flexible data extraction platform, offering its web data API alongside a large proxy network. The scraping API is designed to retrieve data from any domain with a single request, automatically handling Gaunti bot measures and offering flexible output in Markdown, XHR, or JS own formats. Performance metrics show a success rate of 68, 60% with a response time of 13.41s. Pricing starts at $90 per month for 25 gigabytes of data with a special $1.99 trial for three days. The provider also offers specialized APIs for social media, where its performance is strongest. S-O-A-X provides geo-targeting in over 150 countries.

Customer support is reliable, with 24-7 availability via live chat. It's a great option for users who need a flexible, affordable, and well-supported service for localized structured data extraction. Pros flexible data formats, affordable entry. Cons. Lower success rates on heavily protected enterprise sites. 11. Infatica Infatica offers a compelling budget-friendly entry point into the web-scraping API market. Its web scraping API provides a general-purpose endpoint that includes proxy infrastructure, a SERP scraper, and pre-collected data sets. Its API covers over 150 countries. Performance shows a low success rate of 38, 40% with a response time of 17s. Pricing is transparent and competitive, with subscription plans starting at $25 per

month. There is no pay-as-you-go option, and features like JavaScript rendering require additional credits. They offer a seven-day free trial to test their capabilities. Customer support is available 24-7 via tickets and live chat. Infatica is a suitable choice for budget-conscious users who need a basic, reliable scraping solution for low-to-medium volume projects. Pros. Budget-friendly, transparent low subscription cost, cons. Low success rate on protected sites, No P.A.Y.G. option. 12. Rayobite or Iobite, formerly blazing CO, is known for its straightforward and flexible pricing model, particularly the pay-as-you-go option. This makes it a popular choice for businesses with fluctuating or unpredictable scraping needs. The service offers its core API alongside a

web unblocker product. Pricing is usage-based for both, starting at a very low price of $0.0018 per scrape, which is ideal for seasonal projects or one-off tasks. A generous free plan is included with 5,000 free scrapes per month. Performance is very low in general tests, 37, 65% success rate, with a slow response time of 26. 24's customer support is decent, with tutorials and email and chat assistance. Willi a solid performer on many sites, Rayobite's tools may struggle with the most difficult anti-bot protections. It is best suited for users who need a simple, flexible and affordable solution.

Pros No Monthly Commitment, Flexible PAYG pricing, generous free tier. Cons. Extremely low success rate. Not suitable for enterprise scale projects. How to choose the right web scraping API. Not every API is a perfect fit for everyone. Before committing, you should definitely align the API's technical strengths with your project's needs and budget. Here are the essential tips on how to choose the right web scraping API.

Check performance benchmarks. Focus on the API's proven success rate and average response time, latency, on protected sites like e-commerce giants and search engines. For real-time applications, low latency is practically non-negotiable. Compare pricing models. Checkout for successful request models, predictable cost per useful item, over, credit-based models. If using a credit model, don't forget to look for the multiplier for JavaScript rendering. It's often the hidden cost that may triple your bill if you're not careful.

Check for advanced features. Ensure the API supports non-negotiables like JavaScript rendering. Additionally, look for built-in data parsing and precise geo-targeting, city, state level, to minimize post-processing and ensure good data localization. Developer experience, the API should integrate seamlessly, get a good look at the quality of the SDKs, Python, node, JS, the depth and quality of the documentation, and the availability of technical support for unexpected situations, which is usually when, rather than if. Benefits of web scraping APIs, switching from self-managed proxies to a dedicated web scraping API will

bring immediate and very noticeable competitive advantages. Less infrastructure overhead. Switching to a web scraping API saves significant time and engineering resources, allowing your development teams to focus on data analysis or model training. Higher success rates. Expanding your reach with the provider's massive proxy pool and constantly evolving AI-powered strategies to avoid bot detection will fetch far better results. Performance and scalability. APIs are designed for high bandwidth, offering massive data flows and lightning fast response times. Best part, you can scale instantly from 100 to millions of requests in mere moments. Clean data output. Built in parsing, features transform raw, messy HTML into clean, structure JSON or CSV format on the fly,

drastically reducing post-processing time costs and leveling up your overall data quality. Conclusion, web scraping APIs are the foundational tools necessary for scalable, modern data extraction in 2025. They eliminate infrastructure overhead, guarantee high success rates, and deliver structured data ready for analysis. The right choice depends on your goals, budget, and technical expertise. Oxilabs and Zite remain the gold standard for in-compromised performance and easy scalability, while Dakota and Scraping B offer an excellent balance of features and budget-friendly access for smaller to mid-sized projects.

Whichever solution you choose, it's always smart to start with trials or smaller plans to evaluate the API's performance against your specific target websites before committing long-term. Thank you for listening to this Hackernoon story, read by Artificial Intelligence. Visit hackernoon.com to read, write, learn and publish.