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Apify Web Fetch had the highest success rate in this particular test: it returned content from 351 of 384 URLs (91%). Bright Data Web Unlocker was close at 347 (90%), Firecrawl returned 341 (89%), and Playwright without an unblocking layer returned 334 (87%). Those results come from one run, not a guarantee of future performance. Apify’s benchmark was published September 8, 2026, and its single test run took place August 20, 2026.
The results are useful as a comparison under shared conditions, but not as a universal ranking. The tools have different outputs, billing models and intended workflows, and websites’ anti-bot behavior can change by date and IP pool.
What did the benchmark test?
Apify published the benchmark on September 8, 2026, reporting a single run conducted August 20. It sent the same 384 URLs to four approaches, using a 120-second request timeout. The URL set was deliberately varied: it included social and community sites, ecommerce and retail, news and paywalled publishers, JavaScript-heavy SaaS pages, blogs, directories and job boards, synthetic browser challenges, technical documentation, code repositories, academic and scientific sites, real estate, travel, media and Wikipedia.
The benchmark counted a request as successful when it received a response body and detected no anti-bot signature. Its checks included status codes and challenge markers such as Cloudflare Turnstile and DataDome. That is a useful operational definition of retrieval, but it does not establish that every returned page was complete, current, or equally useful for every downstream task.
#1 Best Overall
Apify compared three managed web-fetching or scraping services with a browser-crawling approach: its own Web Fetch, Bright Data Web Unlocker, Firecrawl, and Website Content Crawler running in Playwright mode. The Playwright run used headless Firefox and had no separate unblocking layer.
How did the four approaches perform?
| Tool or approach | Returned content | Blocked rate | Median latency (p50) | p95 latency |
|---|---|---|---|---|
| Apify Web Fetch | 351/384 (91%) | 1% (3 of 354) | 3.10 s | 48.1 s |
| Bright Data Web Unlocker | 347/384 (90%) | 3% (12 of 359) | 3.10 s | 40.9 s |
| Firecrawl | 341/384 (89%) | 1% (3 of 344) | 3.65 s | 19.0 s |
| Website Content Crawler in Playwright mode, without an unblocker | 334/384 (87%) | 1% (5 of 339) | 23.9 s | 80.9 s |
All values in the table are from Apify’s 2026 benchmark. The fractions and percentages describe this one set of 384 URLs; they are not service-level commitments or expected success rates for a different site list. The reported blocked-rate denominators differ from the 384 attempted URLs, so do not interpret blocked rate as simply another way to express the share of all attempts that failed.
Rank #2
Success rate: Apify Web Fetch led narrowly
Apify Web Fetch returned content for 351 URLs, the highest count in the run. Bright Data returned content for four fewer URLs, while Firecrawl was ten behind Apify. The gap between the leading two was small relative to the size of the test, and a single run cannot tell you whether that order would hold across another date, IP pool, region, or collection of target sites.
Latency: the median and the slow tail tell different stories
Apify Web Fetch and Bright Data tied at a 3.10-second median. Firecrawl’s median was 3.65 seconds. The Playwright approach was much slower at the median, 23.9 seconds. A median describes the middle observation, not the time every request takes.
The p95 figures show why tail latency matters for a batch job: 5% of observed requests took longer than the reported p95, subject to the benchmark’s measurement and sample. Firecrawl had the shortest p95 at 19.0 seconds, compared with 40.9 seconds for Bright Data, 48.1 seconds for Apify Web Fetch and 80.9 seconds for Playwright. This does not mean Firecrawl was fastest on every request; its median was not the lowest.
What do the tools provide, and how are they priced?
The figures below are the prices and billing descriptions stated in Apify’s benchmark article, published September 8, 2026. They are not a live quote: confirm current terms, taxes, geography, plan eligibility and any account-specific conditions with the vendor before budgeting. The benchmark did not standardize the four tools into a single equivalent unit of work.
Rank #4
- Used Book in Good Condition
| Tool | What it returns or does | Price or billing basis stated in the benchmark |
|---|---|---|
| Apify Web Fetch | Plain text, Markdown, cleaned HTML, links or raw binary; metadata including title, description, canonical URL and JSON-LD; text extraction from PDFs. Uses Apify Proxy Unblocker for IP rotation, TLS and browser fingerprinting, JavaScript rendering and site-specific challenge flows. | $1.50 per 1,000 fetches; failed requests are free. Batch mode adds a $0.00005 start-run charge. |
| Bright Data Web Unlocker | Clean HTML, JSON, Markdown or screenshots; CAPTCHA solving, proxy selection and rotation, browser fingerprinting and JavaScript rendering. | $1.50 per 1,000 pay-as-you-go requests; $1.30 per 1,000 on a $499/month Scale plan. |
| Firecrawl | Context API for searching, scraping and interacting with the web. | Scrape: one credit per page. Search: two credits per ten results. Interact: two credits per browser minute. Map, Crawl and Monitor: one credit per page. The benchmark lists rates from $3.20 per 1,000 pages on the entry plan to $0.60 at the highest-volume tier. |
| Website Content Crawler in Playwright mode | Apify Actor that extracts text for LLM, vector-database and RAG workflows, with integrations including LangChain, LlamaIndex, Pinecone and Qdrant. The tested setup used headless Firefox through Playwright, without an unblocking layer. | Compute-based rather than per-request billing. Compute units start at $0.20 per CU and decrease with plan size. |
These units are not interchangeable. A fetch, page, browser minute, compute unit and batch start-run charge represent different things. A practical cost estimate needs your expected page volume, retry rate, output type and rendering needs, plus the vendor’s current billing rules. For the two services where failed requests are addressed in the benchmark, only Apify Web Fetch is explicitly described as making failed requests free; do not assume the same policy for the others from this test.
Which result should matter most for your project?
Start by defining what “success” means for your pipeline. If you only need a body to arrive, the benchmark’s success definition is relevant. If you need a complete article, a particular structured field, a screenshot, or content rendered after scripts run, verify that exact output separately. The benchmark measured response and anti-bot signals, not extraction quality or downstream accuracy.
Best Value
- Choose around the deliverable. Compare whether you need text, Markdown, cleaned HTML, raw binary, metadata, PDF text, JSON, screenshots or a rendered browser session. A returned response is not automatically the output format your application needs.
- Include latency distribution in the decision. For interactive work, median response time may dominate. For large batches with deadlines, p95 and timeout behavior can matter more than a small difference in median.
- Model billable failures and retries. Ask whether blocked requests, timeouts, CAPTCHA challenges and retries incur charges. A nominal per-request price may not represent the effective cost per usable result.
- Check rendering and fingerprint consistency. The benchmark highlights JavaScript rendering, CAPTCHA handling, IP rotation, TLS, headers and browser fingerprinting as factors to compare. Confirm how deeply a service renders the particular target sites you need.
- Confirm geography and target-site coverage. The benchmark does not establish performance by geography or for every domain. If your workflow depends on a country-specific view or a small number of critical sites, test those targets from the required region.
- Check acceptable use and access rights. Technical ability to retrieve a page does not grant permission to use its content. Review the target site’s terms, applicable law, privacy requirements and your organization’s policies.
Can you trust a one-run web-scraping benchmark?
Use it as a directional comparison, not a forecast. The benchmark itself warns that anti-bot behavior varies by day and IP pool, so a later run may not reproduce the ranking. The one-run design also means the reported percentages do not show normal run-to-run variation, confidence intervals, seasonal behavior or performance for a workload unlike the 384 tested URLs.
There are additional limits to keep in mind:
- One URL list can favor particular use cases. The test spans many categories, but its overall percentage weights each tested URL equally. Your own mix of domains may be very different.
- “Returned content” is not a quality score. The stated detector looked for a response body without an anti-bot signature. It does not tell you whether the page was truncated, stale, missing key content or parsed correctly.
- A timeout caps the observation. Each request had a 120-second timeout. The results do not establish how the services behave with a different timeout or retry policy.
- One operating setup is not every deployment. Playwright’s result was for headless Firefox without an unblocking layer. It should not be treated as a result for every browser, proxy configuration or tuned crawler.
- Prices do not settle total cost. Billing units differ, and the article’s listed prices may change. Include plan charges, failed attempts, retries, rendering and operational work when comparing a real workload.
How to validate the benchmark against your own URLs
For a purchasing decision, a controlled pilot on your targets is more useful than treating the overall ranking as universal. Keep the comparison fair: use the same URL list, record the date and region, apply a consistent timeout and retry policy, and decide in advance what qualifies as a usable result.
- Choose representative targets. Include the actual sites and page types you expect to process, including pages with client-rendered content or access challenges if those are part of your workload.
- Define pass criteria. Decide whether a pass means a non-blocked response, a required field present, a complete article body, or a screenshot/PDF that meets your needs. Record those outcomes separately.
- Measure repeatably. Run more than one pass on different days if reliability matters. Record success, block signals, missing or incomplete content, median and tail latency, and the number of attempts needed for each usable result.
- Calculate effective cost. Apply each vendor’s current price model to successful outputs, retries and any compute or run-start costs. Compare the cost per usable result, not only the headline rate.
- Recheck operational requirements. Verify supported locations, concurrency, rate limits, output formats, data handling and failure billing with each vendor before production deployment.
When a screenshot is the actual goal: try ScreenshotNeo
ScreenshotNeo is not one of the four tested web-unblocking services, and the benchmark provides no evidence that it competes with them for general-purpose scraping or text extraction. It is a website screenshot API and MCP server for developers. If what you need is a clean visual capture rather than extracted page content, it is an alternative to try first: it can accept cookie or consent banners and remove 60+ known consent platforms, newsletter popups and chat widgets before capture, with each step configurable. Its billing rules say bot checks/CAPTCHAs, blank pages, timeouts, failed loads and cache hits cost nothing, and responses identify page verdict and billing status in headers. Its MCP server exposes screenshot and page-information tools to AI clients including Claude and Cursor. See ScreenshotNeo.
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A single GET request can return a PNG, JPEG, WebP or PDF. The call below follows the API’s documented cURL pattern and targets Stripe as an example; replace the URL with the page you are authorized to capture. See the ScreenshotNeo API documentation for output and capture options.
curl -G "https://api.screenshotneo.com/v1/shot" -d access_key=YOUR_API_KEY --data-urlencode url=https://stripe.com -o shot.webpEquivalent Python:
import requests
r = requests.get("https://api.screenshotneo.com/v1/shot", params={"access_key": "YOUR_API_KEY", "url": "https://stripe.com"}, timeout=90)
open("shot.webp", "wb").write(r.content)Equivalent Node.js:
const q = new URLSearchParams({ access_key: 'YOUR_API_KEY', url: 'https://stripe.com' });
const res = await fetch(`https://api.screenshotneo.com/v1/shot?${q}`);ScreenshotNeo also supports full-page capture with lazy images loaded, CSS-selector element capture, dark mode, 12 device presets and arbitrary viewports, retina scale, PDF paper size/margins/landscape/page ranges, HTML/CSS-to-image, custom CSS and JavaScript, clicking before capture, hiding selectors, waits for selectors/delay/network idle, blocking ads/trackers/requests/resource types, custom headers/cookies/user agent/Authorization, timezone and geolocation, transparent backgrounds, image resizing, configurable-TTL caching, signed public image links, asynchronous jobs with signed webhooks, bulk capture of up to 100 URLs per call, usage API and OpenAPI spec. Its parameter names also match those used by other screenshot APIs to ease migration.
Plans include 1,000 screenshots per month free with no card; Starter is $5 for 3,000, Growth $15 for 15,000, Pro $39 for 60,000, Scale $99 for 250,000, and Business $249 for 1,000,000. Yearly billing gives two months free, and all features are available on every plan. These screenshot-specific features do not change the benchmark results for web unblockers.
Quick Recap
Or skip the browser setup
Cookie banners, popups and chat widgets are removed before the shot; bot checks, blank pages and failed loads are never billed; an MCP server lets AI agents take screenshots; and 1,000 screenshots a month are free with no card, with paid plans starting at $5 for 3,000. Start free with ScreenshotNeo.
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