Top 5 Website Unblockers Benchmarked & Compared
We benchmarked 4 leading web data providers across the top 10,000 domains, running a total of 260,000 requests. Each provider was tested at multiple concurrency levels to measure how they behave under increasing load.
We also ran a separate markdown extraction test on 10,000 URLs, with Exa added, to measure how often each provider returns the page as clean markdown for LLM use.
Providers are ranked by success rate in our web unblocking benchmark.
Web unblocking benchmark
You can read web unblocker benchmark methodology for more details on our testing process.
Web unblocking benchmark markdown output performance
Success rate by anti-bot vendor
Anti-bot systems are the main reason a request fails, so we grouped every result by the anti-bot vendor protecting the target domain. Among the 10,000 domains, the five most common anti-bot vendors were Cloudflare (2,791 domains), Akamai (526), Imperva (140), DataDome (90) and AWS WAF (61). The chart below shows each provider’s success rate against each of these five anti-bot vendors, with 95% confidence intervals.
Web unblockers pricing
The chart shows three prices per 1,000 successful requests for each provider. Min is the provider’s cheapest tier. Avg is the effective rate we paid in the benchmark, volume-adjusted to the provider’s cheapest available plan. Max is the most expensive tier, such as premium rates or credit-multiplied modes. All three include volume discounts as monthly usage grows.
Bright Data, Nimble, Zyte, and Firecrawl bill only for successful deliveries, so their listed rates equal the per-successful-request cost. Exa bills every request, successful or not, so we converted its rates to cost per successful request using its 68% success rate in our markdown test.
Bright Data‘s Min and Avg are both $1.50 per 1,000 requests, the pay-as-you-go standard rate, because our benchmark cost matched that rate. Max is the Premium rate of $2.50 per 1,000 requests: the $1.50 standard rate plus a $1 premium surcharge. Bright Data charges the Premium rate on a set list of domains with strong anti-bot protection. Some benchmark requests went to those domains, but Bright Data’s free tier covered them, so they did not change the average.
Firecrawl sells monthly subscriptions, so the effective rate per 1,000 requests depends on how much of the plan you use. 1,000 requests a month on Hobby ($19) cost $19 per 1,000. 100,000 requests a month on Standard ($99) cost under $1 per 1,000. 1 million requests a month on Scale ($749, monthly billing) cost $0.75 per 1,000. Min, Avg and Max all use Firecrawl’s base rate of 1 credit per request.
Zyte prices browser-rendered requests in five tiers by site difficulty, from $1.01 per 1,000 for simple pages to $16.08 per 1,000 for complex, JavaScript-heavy pages on pay-as-you-go. Avg is our benchmark’s effective rate of $2.98 per 1,000, close to tier 2, volume-adjusted with Zyte’s discounts for $100 to $500 monthly commitments.
Nimble prices by API product. Min and Avg use the Extract/Crawl/Map API at $1 per 1,000 requests. Max uses the Extract Template API at $3 per 1,000 requests for structured, template-based data.
Enterprise or custom-negotiated pricing is not included.
Web unblocking benchmark results
Bright Data offers a Web Unlocker API that combines proxy rotation, CAPTCHA solving, JavaScript rendering, and header management into a single endpoint. In our web unblocker benchmark, Bright Data had the highest success rate and the lowest mean response time at every concurrency level tested.
- Highest success rate at every concurrency level: 94% on single requests, 94% at 100 concurrent requests and 95% at 500 concurrent requests.
- Highest success rate at 5,000 concurrent requests as well, at 92%.
- Mean response time of about 4 seconds, which held under the heaviest load.
- Highest markdown extraction success rate at 79%, with a 9-second mean response time.
Firecrawl’s scrape API returns pages as HTML or markdown. In our benchmark, Firecrawl’s success rate stayed the same at every concurrency level, and its mean response time was among the fastest.
- 88% success rate on single requests, at 100 concurrent requests and at 500 concurrent requests.
- Mean response time of about 4 seconds, among the fastest in the benchmark.
- 71% success rate on the markdown test, with a mean response time of about 3 seconds, the fastest in that test together with Exa.
Nimble offers a general-purpose web scraping API with built-in residential proxies and geo-targeting down to the country, state, city, and ZIP-code level. In our benchmark, Nimble’s success rate stayed flat from single requests to 500 concurrent requests and fell by 2 points at 5,000.
- Third-highest success rate: 90% on single requests, at 100 concurrent requests and at 500 concurrent requests.
- Mean response time of about 10 seconds.
- 88% success rate at 5,000 concurrent requests, second only to Bright Data, with a mean response time of about 20 seconds.
- 70% success rate on the markdown test, with a mean response time of about 10 seconds.
Zyte API is a web scraping API that combines ban handling, headless rendering, and AI extraction to structure raw HTML into typed data. Zyte API is accessible over REST and integrates with Scrapy, the open-source framework Zyte maintains. In our benchmark, Zyte had the second-highest success rate at every concurrency level.
- 92% success rate on single requests, 92% at 100 concurrent requests and 93% at 500 concurrent requests.
- Mean response time of about 13 seconds, the slowest of the four providers in the HTML test.
Exa’s Contents API extracts clean, LLM-ready content from any URL, handling JavaScript-rendered pages, PDFs, and complex layouts. The Contents API returns full markdown text, targeted highlights or LLM-generated summaries. Exa does not return raw HTML documents, so we included it only in the markdown extraction test.
- 68% success rate on the markdown extraction test.
- Mean response time of about 3 seconds, the fastest in the markdown test together with Firecrawl.
Why markdown output matters for AI applications
We ran a separate markdown extraction test on 10,000 URLs because, in AI workloads, the output format determines how many tokens each scraped page adds to a model prompt.
Raw HTML wastes context-window tokens
Most web scraping APIs return raw HTML: the page content wrapped in navigation menus, ad slots, footer boilerplate and inline styles. Raw HTML works for extraction with known CSS selectors, but it is a poor fit for large language models (LLMs). Every unused tag uses context-window tokens, adds noise the model has to ignore, and raises the cost of every prompt that includes the page.
HTML to markdown conversion for LLM-ready output
Markdown output removes presentational markup and keeps the content structure:
- Headings become
# - Links stay as
[text](url) - Lists stay as lists
- Navigation, ads, scripts and styling are removed
The result is typically 60 to 80% smaller in tokens than the equivalent HTML, with the meaningful text preserved. For RAG pipelines, vector database ingestion, AI agent tool calls and any workflow that puts a scraped page into a model prompt, fewer tokens per page means lower inference cost, faster responses and less noise for the model to work around.
When to use JavaScript rendering and, when to skip it
Web unlocker APIs give you two ways to fetch a page:
- Plain HTTP request: returns the raw HTML the server sends
- Full browser session (headless browser mode): executes JavaScript and returns the DOM after scripts have run
JavaScript rendering costs more than a plain request. Each rendered request starts a headless browser instance, which uses 5 to 10 times more compute for the provider and adds several seconds of latency. Providers pass this cost on in one of two ways:
- A separate, higher-priced rendering tier
- Slower responses
In our web unblocker benchmark, most content-first pages returned their useful content in the initial server-rendered HTML, so render a page only when it requires JavaScript.
Pages that usually need no rendering:
- Blogs and articles
- Product listings
- Documentation
- Search-result pages that render server-side
Pages that need JavaScript rendering:
- Dashboards and admin panels
- Chart-driven analytics
- Endpoints where the meaningful text only appears after fetch calls resolve
A per-domain list of the sites that need JavaScript rendering usually costs less and succeeds more often than a global “always render” setting.
Add as preferred sourceWhat is the difference between a web unblocker and proxy servers?
A web unblocker is an API that returns the target page and handles proxy rotation, browser fingerprinting, JavaScript rendering and CAPTCHA solving for you. A proxy server only routes your request through another IP address, so you have to handle anti-bot systems yourself.
Success rates against anti-bot systems
Web unblockers reach high success rates because they handle browser fingerprinting, TLS fingerprinting, JavaScript rendering, CAPTCHA solving and proxy rotation by default.
Residential and datacenter proxy services do not include these features, so proxy users have to build them to get past anti-bot systems such as Cloudflare, Akamai and DataDome.
Ease of use and maintenance
Rotating proxies need configuration to bypass anti-bot measures, and that configuration needs ongoing maintenance. Websites keep improving their detection, so proxy users have to keep updating their IP rotation and fingerprinting.
Web unblocker APIs manage proxy rotation and sessions themselves, so the user configures neither.
How each one works
Consumer site unblockers work through a VPN, a proxy server or a browser extension. A proxy server routes traffic through a different server and hides the user’s real IP address, but it does not encrypt the traffic. Web unblocker APIs for scraping run requests through the provider’s own proxy network and return the fetched page to your code.
Web unblocker benchmark methodology
Dataset construction
We began with the top 10,000 domains from the Tranco list, which ranks websites by traffic and popularity based on aggregated data from multiple sources.
Domain exclusion. From this pool we filtered out domains that could not serve as meaningful benchmark targets:
- Dead domains with no responsive server
- Infrastructure-only domains used purely as CDN or advertising service endpoints (not user-facing sites)
- Invalid domains that fail basic DNS resolution or do not host a real web property
- Domains with no crawlable content that respond but expose no extractable URLs
- Blocklist filtering. Every remaining domain was checked against a curated set of public blocklists covering adult, gambling, phishing, malware, fraud, and abuse categories (HaGeZi, StevenBlack/hosts, ShadowWhisperer, The Block List Project, PhishDestroy, romainmarcoux/malicious-domains, Phishing Army Extended, and others).
- URL authority and spam score filtering. Domain trustworthiness was evaluated with DA/PA Checker. Thresholds were calibrated by comparing score distributions across known-safe and known-harmful samples, and any domain falling on the harmful side was removed.
- Keyword filtering. Domain names were screened against a curated keyword list covering gambling, adult content, drugs/pharma, and financial fraud to catch domains that slip past public blocklists.
- Final filter. Only domains that passed all three layers (blocklist, URL scorer threshold, keyword exclusion) and had at least 3 crawlable URLs were retained.
URL collection
For each surviving domain, we used a web crawler backed by Cloudflare’s browser infrastructure to discover and collect actual pages (not just homepages). Domains that produced fewer than 3 crawlable URLs were dropped.
We also collected a CSS selector and a visible text snippet from the HTML we fetched ourselves for each URL, later used to verify vendors returned the correct page.
Test splits
The URL pool was split across single_html, single_markdown, 100_html, 500_html, and 5000_html tests. Each test took 1 URL per unique domain, borrowing extra URLs from the richest domains only when a test could not be filled with domain-unique URLs alone. Every test used a distinct URL set with no overlap.
Validation methodology
Checking only HTTP status codes is not enough: a vendor can return HTTP 200 with a bot-block page in the body, or fetch the correct page while our ground-truth selector is stale. To measure vendor success independently from dataset quality, we apply a 10-stage hybrid validation.
999-check (bot-page pre-filter). Before running the 10 stages, each response body is scanned against a curated list of bot-block and CAPTCHA signatures (Cloudflare challenge markers, DataDome, PerimeterX, Incapsula, “Just a moment…”, etc.). If any signature is found, the row’s status code is rewritten to 999 and it is marked as a direct fail regardless of the HTTP code the vendor returned.
Pre-flight. If the status code is under 200 or 400+ (excluding 404), the row fails. Statuses 201-399 and 404 count as success (a 404 is a legitimate vendor response) and skip content validation. If status is 200 with an error field already set by the adapter, the row fails. Only status 200 with no adapter error moves on to the 10 stages.
Stage 1: Raw CSS. The ground-truth css_selector is applied to the body with BeautifulSoup. Around 80% of successful rows match here.
Stage 2: Raw text (body). Case-insensitive substring search for the ground-truth text inside the raw body.
Stage 3: Raw text (strip_tags). Same substring search after removing HTML tags, catching text broken across tags or HTML entities.
Stage 4: Wildcard CSS. Handles build-time hashed class names (CSS Modules, Styled Components). .Slogan_title__YNy5xv becomes [class*=”Slogan_title__”]. The selector is split into parts and the last 2 or last N-3 parts are tried independently.
Stage 5: Bare-class fix. Some ground-truth selectors are missing the leading . or #. If the first token is not a valid HTML tag and does not start with ., #, [, or *, we prepend . and retry.
Stage 6: Tailwind escape. Utility-CSS class names contain [, ], :, /, which CSS grammar requires to be escaped with \. Pseudo-classes (:hover, :nth-of-type(1)) are protected during the escape.
Stages 7-10:Mojibake fix with ftfy. If none of the above match, ftfy re-decodes the body and text to fix character-encoding corruption, then Stages 1-4 are retried on the normalized content.
Language handling: Some vendors returned pages in a different language from the ground-truth text, either because of geo-based routing or the target site’s default localisation. For these cases we ran an additional language-aware check where available: pages were language-detected, and where the returned language did not match the ground-truth, we translated the ground-truth text into the returned language and repeated the substring search. This prevents penalising a vendor that fetched the correct page but in a different locale.
Markdown validation: For the markdown extraction test the same 999-check runs first, but the 10-stage pipeline reduces to a case-insensitive substring search for the ground-truth text inside the returned markdown (with ftfy re-decoding on miss), since markdown has no CSS structure to query.
FAQs
Most site unblockers hide your real IP address by sending your internet traffic through other servers. Free unblockers, though, might keep records or share your data. For better security, choose a trusted provider with a clear privacy policy.
No, there is no technical difference. The terms are used interchangeably. While developers often use the term ‘Web Unblocker‘ or ‘proxy-based solution‘, general users might search for ‘Site Unblocker‘ tools to bypass restrictions on specific websites. Both solutions use proxy networks to access blocked content.
Yes, but safety depends on the provider. While many suspicious free proxy sites may log your activities or inject malicious scripts, professional website unblockers are designed with security in mind.
These tools utilize high-level encryption (such as AES-256) to secure your traffic, ensuring that your personal data and browsing history remain private and protected from third-party tracking.
Web unblockers can help you reach restricted websites. But in countries with strict internet rules, many unblockers are blocked too. If you live in one of these places, check your local laws before trying to get around restrictions.
The best web unblocker for you depends on what you need: speed, security, price, or which devices you use. Paid options, especially VPN-based ones, are usually more reliable, faster, and safer than free browser proxies.
Cite this benchmark
Pick the format that matches where you're publishing. Pasting the link version into your CMS preserves the backlink.
@misc{dogan2026,
author = {Dogan, Sedat and Şipi, Nazlı},
title = {{Top 5 Website Unblockers Benchmarked & Compared}},
year = {2026},
month = aug,
howpublished = {\url{https://aimultiple.com/web-unblockers}},
note = {AIMultiple. Retrieved August 25, 2026}
}Results and timestamps of 649.2 thousand data points. Download the summary data shown in this article's charts and tables as a ZIP file containing 3 CSV files and a README.
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Changelog
20 updatesExpanded pricing chart notes with per-provider Min/Avg/Max cost breakdowns and volume discounts.
Added a section on success rate by anti-bot vendor, listing the top 5 vendors.
Replaced tested vendors Oxylabs, Decodo, and Crawlbase with Firecrawl, Nimble, and Exa.
Added a website unblocker explainer section and a stability benchmark methodology covering five vendors across Amazon, Facebook, eBay, TikTok and YouTube.
Removed pricing data from individual product descriptions.
Added a section on how to unblock YouTube and social media sites.
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