10 Best Browserless Alternatives in 2026

Browserless is a useful platform for developers who want to run Puppeteer and Playwright scripts in the cloud without setting up their own browser infrastructure. It can save time, reduce server work, and make browser automation easier to manage. However, it may not be the best fit for every team.

As scraping needs grow, some users start looking for greater speed, higher success rates, clearer pricing, or stronger anti-bot protection. Browser-based workflows can also become costly for high-volume projects, especially when every task depends on full browser rendering.

That is where Browserless alternatives come in. There are many tools built for scraping APIs, browser automation, proxy handling, screenshots, crawling, and structured data extraction.

Top 10 Browserless Alternatives & Competitors 

Browserless is helpful for cloud browser automation, but it may not fit every project. Some tools offer better speed, pricing, scraping success, or proxy support. Here are the top Browserless alternatives and competitors:

1. Bright Data

Bright Data is a powerful Browserless alternative for teams that need reliable web data at scale. It is built for serious scraping projects, not just cloud browser automation. The platform offers ready-made scrapers, a large proxy network, structured datasets, and managed data services.

Bright Data can support many use cases, from simple API requests to full data pipelines. Businesses can collect data from eCommerce sites, search engines, social platforms, real estate websites, and more. It is also trusted by many companies worldwide, including large enterprises. Bright Data offers broader data collection capabilities and a more robust scraping infrastructure. It is a perfect choice for teams that need speed, scale, reliability, and clean data delivery.

Key Features:

• Scraper Library: 659+ pre-built scrapers for LinkedIn, Amazon, Instagram, TikTok, Zillow, and more, all auto-maintained when target sites change.
• Proxy Network: 400M+ residential, datacenter, ISP, and mobile IPs across 195+ countries with automatic rotation.
• Anti-Bot Bypass: Industry-leading unblocking engine automatically handles Cloudflare, DataDome, PerimeterX, and Akamai.
• Data Formats: Delivers structured results in JSON, NDJSON, or CSV via webhook or API delivery.
• Batch Handling: Processes up to 5,000 URLs per job with full job management APIs.
• Compliance: GDPR-compliant, ISO 27001-certified, and covered by Lloyd’s Technology E&O insurance

Pros

• Best-in-class 99.95% average success rate, confirmed by multiple independent benchmarks
• Largest pre-built scraper library (659+) with automatic maintenance when sites change
• Flexible delivery options, webhook, API, cloud storage, or direct download
• Free trial includes 1,000 requests with no credit card required

Cons

• Enterprise pricing can be expensive for small teams or individual developers
• The volume of features has a steeper learning curve compared to simpler APIs
• Pay-as-you-go starts at $1.50/1K records, which is higher than budget alternatives

Pricing: Free trial (1K requests, one week). Pay-as-you-go at $1.50/1K records. Scale plan from $499/month (384,000 records included, $1.30/1K additional). Enterprise pricing available. 

2. Scrapfly

Scrapfly is a strong all-in-one scraping API for teams that need speed, flexibility, and reliable access to difficult websites. It is built to handle both simple pages and protected sites with anti-bot systems. The platform provides developers with tools tailored to different scraping needs, so they do not have to use a full browser for every request.

Scrapfly includes a fast stealth HTTP engine for lightweight scraping and a stealth browser for JavaScript-heavy pages. This helps teams control performance and cost more easily. One API key gives access to web scraping, browser automation, screenshots, crawling, data extraction, AI browser agents, and MCP support. Another useful benefit is that failed requests are not charged. For teams working at scale, Scrapfly is a practical Browserless alternative with strong technical control.

Key Features:

• Dual Engines: Curlium (HTTP, 10–50x faster than browser) and Scrapium (stealth Chromium) auto-routed per target.
• ASP Technology: Anti-Scraping Protection with byte-perfect TLS/JA4, HTTP/2, WebGL, and canvas fingerprinting.
• AI Extraction: LLM-prompt-based extraction and auto-detection for structured data.
• Proxy Saver: Saves up to 50% on proxy costs by skipping unnecessary residential routing.
• Full Observability: Real-time dashboard with success rate, throughput, latency, and bypass telemetry.

Pros

• Only pay for successful scrapes, failed bypasses are genuinely free
• One API key covers every product: scraping, browser, extraction, crawling, agents, MCP
• Transparent, variable credit cost based on actual target complexity (no premium-domain surcharges)

Cons

• Discovery plan ($30/month) limits concurrent requests to just 5
• No pay-as-you-go option on the entry plan
• Credit system can be confusing for new users until they understand the ASP modifier

Pricing: Free (1,000 credits, no credit card, no time limit). Discovery: $30/month (200K credits). Pro: $100/month (1M credits). Startup: $250/month (2.5M credits). Enterprise: $500/month (5.5M credits).

3. Apify

Apify is a flexible scraping platform for teams that want ready-made tools and automation in one place. It has a large marketplace of prebuilt scrapers, called Actors, for sites like Instagram, TikTok, Google Maps, Amazon, LinkedIn, and many others. Instead of building a scraper from scratch, you can choose an Actor, add your settings, and run it.

Apify also manages the technical work behind the scenes. It handles proxies, browser rendering, scheduling, storage, and data delivery. This makes it useful for both developers and non-technical users. The platform also integrates with tools such as Zapier, Make, Google Sheets, webhooks, and AI frameworks. Compared to Browserless, Apify offers a broader scraping ecosystem with more ready-made options and easier automation workflows.

Key Features:

• Actor Marketplace: 10,000+ pre-built scrapers for specific platforms, browse, run, and get data in minutes.
• Cloud Infrastructure: Full scraping pipeline management, including proxies, browsers, scheduling, and storage.
• API & Webhooks: Chain actors together, pipe results to databases, or trigger downstream automations.
• Scheduling: Built-in cron-style scheduling for recurring scrape jobs without external orchestration.
• AI Framework Support: Integrations with LangChain, LlamaIndex, CrewAI, and OpenAI Agents SDK.

Pros

• Largest pre-built scraper library in the market, if the platform exists, there’s likely an actor for it
• Free tier auto-renews $5 of credits monthly, genuinely usable for small ongoing tasks
• Built-in scheduling, storage, and pipeline management removes DevOps overhead

Cons

• Compute-based pricing (CU + proxy + storage) makes costs hard to predict at scale
• Output is raw HTML or JSON that often needs post-processing before feeding into LLMs
• Many community actors vary in quality and maintenance frequency

Pricing: Free tier ($5/month auto-renewing credits, no credit card). Starter: $29/month ($29 of credits). Scale: $199/month. Business: $999/month. 

4. Oxylabs

Oxylabs is a reliable Browserless alternative for teams that need enterprise-level web scraping. It is built for companies that care about scale, uptime, security, and compliance. The platform offers a Web Scraper API with many ready-made endpoints for websites like Google, Amazon, Walmart, Zillow, eBay, and more.

Oxylabs also has a large proxy network spanning many countries and supporting city-level targeting. This helps teams collect location-based data with better accuracy. The platform is designed for regulated industries, with strong privacy and security standards. It also offers high API uptime, which makes it useful for production workflows. Compared to Browserless, Oxylabs is more focused on structured data collection, proxy power, and enterprise scraping needs. It is a strong choice for serious data teams.

Key Features:

• Target Library: 195+ pre-configured endpoints with parsed JSON output for Google, Amazon, Walmart, and more.

• Proxy Network: 175M+ IPs across 195+ countries with precise geo and ISP targeting.
• Oxy Parser: Custom XPath/CSS selectors for targeted field extraction without extra code.
• AI Integrations: Native connectors for LangChain, LlamaIndex, CrewAI, Zapier, n8n, and Make.
• Uptime SLA: Guaranteed 99.9% API availability with dedicated account manager support.
• Compliance: SOC 2 Type 2, GDPR-certified, and insured by Lloyd’s.

Pros:

• Exceptionally strong compliance posture, ideal for enterprise and regulated industries
• Highly readable documentation with code samples and a live API playground
• Free trial includes up to 2,000 results with no credit card required

Cons:

• Pricing is higher than budget alternatives, particularly for JavaScript rendering at $1.35/1K results
• Enterprise features like dedicated account managers require higher-tier plans
• Some niche target domains only support raw HTML without parsed output

Pricing: Free trial (2,000 results). Micro: $49/month (up to 98K results from $0.50/1K). Starter: $99/month (up to 220K results from $0.45/1K). Advanced: $249/month (up to 622,500 results from $0.40/1K). Enterprise pricing available.

5. ZenRows

ZenRows is a strong Browserless alternative for teams that need reliable web scraping without managing servers, browsers, or proxies. It is built to handle difficult websites and common anti-bot systems like Cloudflare, DataDome, and PerimeterX. This helps teams collect data with fewer failed requests and less manual setup.

The platform is designed for production use. It can scrape protected websites, return fast responses, and support large data workflows. ZenRows also gives users clean output formats, including JSON, Markdown, HTML, and screenshots. This makes it useful for AI pipelines, RAG systems, research tools, and automation workflows. ZenRows also focuses on speed and ease of setup, so teams can move from testing to live scraping quickly. Compared to Browserless, it offers a more complete scraping API for teams that need clean, structured data at scale. 

Key Features:

• Universal Bypass: Handles Cloudflare, DataDome, PerimeterX, and all major WAFs automatically.
• LLM-Ready Outputs: Returns clean Markdown, structured JSON, screenshots, and raw HTML in one call.
• JS Automation: Click, scroll, fill forms, and execute custom JavaScript for complex multi-step workflows.
• Geo-Targeting: Residential proxies from 195+ countries for localized pricing and geo-restricted content.
• Session Management: Persistent sessions for multi-step authentication and paginated workflows
• GTM Integrations: Native connectors for Clay, n8n, LangChain, LlamaIndex, Zapier, and Make.

Pros

• 100% success rate on six major domains including Google, Indeed, and Zillow in benchmark tests
• Dead-simple Python/cURL integration, production-ready in under 5 minutes
• Strong documentation and responsive support team

Cons

• Entry price of $69/month is higher than most competitors for comparable features
• Only 10K protected results (with JS rendering + premium proxies) at the base tier
• No free forever tier, only a limited trial period

Pricing: Free trial available. Developer: $69/month. Startup: $129/month. Business: $299/month. Enterprise pricing on request.

6. Decodo

Decodo is a strong Browserless alternative for teams that want good performance at a fair price. It offers a large proxy network with broad country coverage, making it useful for collecting global web data. The platform supports several output formats, including HTML, JSON, CSV, XHR, PNG, and LLM-ready Markdown.

Decodo is also easy to test because it offers a free plan that requires no credit card. This helps users try the platform before choosing a paid plan. It also provides many ready-made scraping templates for popular sites like Amazon, Google, TikTok, Walmart, Reddit, Kroger, and Lowe’s. Compared to Browserless, Decodo gives teams more scraping-focused features, better data format options, and strong value for both small and growing projects.

Key Features:

• Output Formats: Results in HTML, JSON, CSV, XHR, PNG, and LLM-ready Markdown, the most flexible format list in the market.
• Template Library: 100+ pre-built scrapers for major platforms including Amazon, Google, TikTok, Reddit, Walmart, ChatGPT, and AI search engines.
• Flexible Rendering: Enable or disable JavaScript rendering and premium proxies per request to avoid overpaying.
• MCP Server: Native Model Context Protocol integration for AI agent workflows.
• Freemium Plan: Permanent free plan with no credit card and access to all features.
• Proxy Network: 125M+ IPs across 193 countries including residential, datacenter, mobile, and ISP types.

Pros

• Genuinely useful freemium plan, test everything without a credit card or time pressure
• Markdown output is included in plans and ideal for feeding LLMs directly
• 14-day money-back guarantee reduces risk when evaluating at scale

Cons

• Standard proxies on the freemium plan are limited to 8 countries
• Rate limit of 10 req/s on entry plans can slow high-volume scraping
• Premium proxy + JS rendering pricing ($1.50/1K) is on the higher end

Pricing: Free plan (no credit card). $19/month plan available. $49/month (25 req/s). $99/month (50 req/s, 82K standard requests). Custom enterprise plans available.

7. ScraperAPI

ScraperAPI is a simple web scraping API made for developers. It helps teams collect web data without building proxy systems, CAPTCHA tools, or browser rendering setups on their own. You send a request to one endpoint, and ScraperAPI handles the hard parts in the background. The platform is useful for both small projects and high-volume scraping. It supports proxy rotation, CAPTCHA handling, JavaScript rendering, retries, and geotargeting across many countries. 

ScraperAPI also offers Structured Data Endpoints for sites like Amazon, Google, Walmart, and other major platforms. These endpoints return clean JSON, so developers do not need to spend extra time parsing raw HTML. Compared to Browserless, ScraperAPI is more focused on direct web scraping and on delivering structured data. It is a practical option for developers seeking a simple, scalable scraping tool. 

Key Features:

• Simple API: One endpoint handles proxy rotation, CAPTCHA solving, and browser rendering.
• Structured Endpoints: Pre-parsed JSON for Amazon (products, search, offers, reviews), Google (search, shopping, news, jobs), and Walmart.
• Geotargeting: 40M+ proxies across 50+ countries for localized results.
• Async Scraper: Submit millions of requests asynchronously for large-scale jobs.
• DataPipeline: No-code visual tool to automate scraping without writing any code.
• Compliance: 100% CCPA and GDPR compliant.

Pros

• Extremely high request volume proves reliability at scale (11B+ requests/30 days)
• DataPipeline is a genuinely useful no-code option for non-developers
• Competitive pricing with dedicated Slack channel and support for enterprise customers

Cons:

• Concurrency limits (10–200 req/s) can bottleneck very high-volume jobs
• No native AI extraction or LLM-ready Markdown output
• Custom plan required for usage above 800K searches/month

Pricing: Hobby: $49/month (100K searches). Startup: $149/month (1M searches). Business: $299/month (3M searches). Advanced: $1975/month (21,500,000 searches). Custom enterprise available.

8. ScrapingBee

ScrapingBee is a web scraping API that helps developers collect clean data with less setup. It focuses on simple requests and structured results, so teams do not have to spend as much time managing scraping infrastructure. One of its key features is natural language extraction. You can describe the data you want in plain English, and the API can return the matching information without complex selectors.

ScrapingBee also supports JavaScript rendering through headless Chrome. This makes it useful for dynamic websites that load content after the page opens. It can capture screenshots and provide Google Search data through a dedicated API. The platform also integrates with tools such as Scrapy, Make, n8n, and LlamaIndex. It is a strong Browserless alternative for teams that want easy scraping and clean outputs.

Key Features:

• AI Query Extraction: Describe what you need in natural language, the API handles the rest.
• AI Extract Rules: JSON-defined extraction schemas for highly structured, predictable output.
• Headless Chrome: Full JavaScript rendering that adapts automatically to layout or content changes.
• Anti-Bot Bypass: Stealth proxies and browser fingerprinting to defeat anti-bot systems.
• MCP Server: Official Model Context Protocol server for Claude, Cursor, and AI agent integration.

Pros

• Natural language scraping removes the need for XPath or CSS selector knowledge
• Transparent, simple pricing with no hidden multipliers or premium-domain charges
• 1,000 free credits to test with no credit card required

Cons

• AI extraction adds per-request cost overhead compared to raw HTML scraping
• Fewer pre-built scrapers than enterprise alternatives like Bright Data or Oxylabs
• JS rendering credits cost more than basic scraping, which adds up at scale

Pricing: Freelance: $49/month (250K API credits). Startup: $99/month (1M credits). Business: $249/month (3M credits). Business+: $599/month (8M credits). Custom enterprise available.

9. Zyte

Zyte is a trusted web scraping platform with many years of industry experience. It is built for teams that need reliable data collection without constant scraping issues. Its Web Scraping API combines HTTP scraping, browser rendering, and anti-ban protection into a single simple endpoint.

The platform also uses AI automation to help scrapers keep working when websites change layouts or add new protections. This can reduce maintenance work for developers and data teams. Zyte also offers a Managed Data service for companies that want a fully hands-off solution. In this model, Zyte’s team builds, runs, and maintains the scraping pipeline for you. Compared to Browserless, Zyte is a stronger choice for teams that want clean data, less maintenance, and managed scraping support.

Key Features:

• Patented AI: Automatically adapts to website structure changes and anti-bot updates without manual fixes.

• Managed Data: Fully managed data feeds built and maintained by Zyte’s 15-year expert team.

• HTTP + Browser: Intelligently selects the appropriate scraping mode for each page to optimize speed and cost.
• Legal Compliance: Industry-leading legal compliance framework with built-in ethical guidelines.
• Scrapy Cloud: Native hosting for Scrapy-based pipelines with scheduling and monitoring.
• Zyte API: Pay-as-you-go simple HTTP requests from just $0.13/1K, the cheapest entry point in the market.

Pros

• Most affordable entry-level pricing at $0.13/1K simple HTTP requests
• Patented AI auto-maintenance means scrapers don’t break when sites change
• Undisputed legal compliance leadership, the safest choice for regulated industries

Cons

• UI and developer experience are less polished than newer competitors
• Managed Data service requires custom quoting, not self-serve
• Documentation assumes familiarity with Scrapy, which can slow onboarding for non-Python teams

Pricing: Zyte uses a pay-as-you-go pricing model. HTTP response body requests cost $0.13 to $1.27 per 1,000 responses, while browser-rendered requests cost $1.01 to $16.08 per 1,000 responses. Plans require a $100 monthly minimum spend.

10. ScrapeGraphAI

ScrapeGraphAI is an AI-focused scraping platform built for modern data workflows. It is designed for teams that want more than basic page scraping. The platform uses AI graph reasoning to understand web pages and extract useful data with less manual setup.

ScrapeGraphAI offers several core tools for different needs. You can scrape a URL into Markdown or HTML, extract structured JSON using natural language, search the web with AI extraction, crawl full websites, or monitor pages for changes. This makes it useful for AI apps, research tools, RAG pipelines, and automation systems. It also has a strong open-source community and connects with tools like LangChain and CrewAI. Compared to Browserless, ScrapeGraphAI is more focused on AI-ready data extraction and agent workflows.

Key Features:

• Five Endpoints: Scrape, extract, search, crawl, and monitor, one API key covers every workflow.
• AI Graph Extraction: Reasoning-based extraction that understands page context, not just selectors.
• Monitor with Webhooks: Track page changes on a cron schedule and receive alerts automatically.
• Credit Calculator: Interactive pricing calculator shows exact cost before you run any request.
• MCP Server: Official MCP integration works with Claude Desktop, Cursor IDE, and AI agent frameworks.
• Stealth Toggle: Optional anti-bot bypass adds +5 credits per request, charged only when needed.

Pros:

• Open-source library has 26,500+ GitHub stars, strong community and transparency
• Flexible credit top-ups that never expire stack on top of monthly subscriptions
• Monitor endpoint is uniquely useful for price tracking and content change alerts

Cons:

• Stealth mode adds +5 credits per request, which adds up for large-scale protected-site scraping
• Free plan is limited to 500 credits/month with only 1 concurrent crawl
• Smaller proxy network than enterprise alternatives like Bright Data or Oxylabs

Pricing: Free (500 credits/month). Starter: $17/month (10K credits). Growth: $85/month (100K credits). Pro: $425/month (750K credits). Enterprise: custom. One-time credit top-ups available from $5.

Final Words

Choosing the best Browserless alternative depends on your project, budget, and technical needs. Browserless is useful for cloud browser automation, but many teams need more than hosted browsers. Some need stronger anti-bot protection, while others need faster scraping, lower costs, structured data, proxy support, or AI-ready outputs.

Tools like Bright Data, Oxylabs, and Zyte are strong for enterprise data needs. Scrapfly, ZenRows, ScraperAPI, and ScrapingBee are useful for developers who want reliable APIs. Apify, Decodo, and ScrapeGraphAI are better for teams that need automation, templates, or AI-focused workflows.

Before choosing a tool, compare success rates, pricing, integrations, output formats, and ease of use. The right platform should save time, reduce failed requests, and help your team collect clean web data more easily.