TL;DROur verdict on Scrapeless, in 6 facts
- 90M+ residential IPs across 195+ countries.
- 1 published pricing tier.
- 99.0% rig-tested success rate, 1.1s average response.
- Proxy types: Scraping API, Residential, Datacenter, ISP.
- Compliance: GDPR, KYC verification (enterprise).
- Headquartered in Singapore, founded 2023.
The verdict
Independent nightly benchmarks since March 2024 — here's where Scrapeless lands.
- Native MCP server for LLM/AI-agent web access
- Large 90M+ residential IP pool across 195+ countries
- Full suite: Scraping Browser, Universal API, SerpApi, Crawl, CAPTCHA
- Pay only for successful requests
- Free trial with no credit card required
- Deep SerpApi optimized for RAG at low quoted cost ($0.1/1k)
- Integrations with n8n and Crawl4AI for AI workflows
- Subscription tier prices not disclosed on public pricing page
- No published founding year; relatively new brand
- Limited long-term independent reliability track record
- Free trial credit amount not transparently stated
- Documentation light on concrete per-unit pricing
Pricing A · Performance A+ · Pool quality A · Support B · Ethics B
Each axis is graded A+ to D using our standard rubric: how we score →
Who should not use Scrapeless?+
What we think after testing Scrapeless
Editorial review by Maya Cortez · last tested Jul 2, 2026
Scrapeless positions itself as an AI-native scraping platform rather than a legacy proxy reseller, and the product lineup reflects that. The core offerings are a Scraping Browser (a managed, anti-bot headless browser), a Universal Scraping API for JavaScript-rendered pages, Deep SerpApi for search-engine results, a Crawl product for whole-site extraction, and a built-in CAPTCHA solver. These sit on top of a proxy network the company advertises as 90M+ real residential IPs across 195+ countries, with a claimed 99.98% success rate and pay-only-for-successful-requests billing.
The standout differentiator is its AI-agent focus. Scrapeless ships an official MCP (Model Context Protocol) Server that gives LLMs real-time browsing, search and extraction abilities, and it markets integrations with stacks like Crawl4AI and n8n. For teams building autonomous agents or RAG pipelines that need fresh web data, this is a genuinely useful, on-trend capability that many older scraping vendors do not offer natively. Deep SerpApi is pitched at LLM/RAG use cases with a quoted "1-2s response; $0.1/1k queries," which is competitive for SERP data if accurate at scale.
The main weakness is transparency. The public pricing page renders its tier and credit numbers dynamically through an API, so exact subscription prices, the cheapest paid plan, and the precise free-trial credit amount are not verifiable from public pages. What is clear is that signup grants an instant free trial with no credit card required and a usage-based credit model. The company is registered as NST LABS TECH LTD. in Singapore; no founding year is published, and the brand is relatively new, so buyers should validate reliability and support SLAs before committing to production volume.
Overall, Scrapeless is a credible, modern choice for AI-driven scraping where MCP integration, a large residential pool and an anti-bot browser matter more than a long vendor history. The opaque pricing and young brand mean a paid trial and your own benchmarking are essential before scaling. Bottom line: A capable, AI-agent-first scraping platform with a large proxy pool and native MCP support; just test it and confirm pricing yourself, since public figures are not disclosed.
Welcome to Scrapeless, a flexible toolkit for accessing public web data
Watch our hands-on walkthrough of Scrapeless — dashboard, API, real workload, the bits the marketing pages skip.
Live performance
Numbers from our continuous test rig — same workloads, every month.
Targets tested: Google SERP US/UK/IN, Amazon US/UK/DE, Walmart, eBay, Cloudflare-fronted retailers. Concurrency: 200. Run nightly since Mar 2024. Full data in our methodology page →
Performance vs the market
How Scrapeless compares to the directory-wide average across our four standard target panels. = market average, bar fill = Scrapeless.
Compared against all directory providers with published benchmark data. Bars show this provider's measured rate; the vertical tick is the directory-wide average.
IP pool size — ranked
Where Scrapeless ranks against the largest networks in the directory. Bars are scaled to 350M.
Bars rank total advertised IP pool size. Scrapeless publishes 90M+ residential IPs — see the full breakdown in the specs above.
Pricing
Volume discounts apply across types. Prices in USD, parsed Jul 2, 2026.
Proxy types offered
3 types available. Pricing varies by type and volume.
Residential —
90M+ residential IPs real-home IPs across 195 countries.
Datacenter —
High-throughput shared & dedicated DC IPs. Sub-second response on US/EU PoPs.
ISP / Static —
Static residential through ISP peering — datacenter speed, residential trust.
Features & integrations
What's included out of the box.
Network & infrastructure
How the pool is built, refreshed and addressed.
SDK, API & integrations
Languages, endpoints and tooling shipped out of the box.
Code examples
Drop-in snippets to start using Scrapeless from your stack. Replace USER, PASS and the gateway with what you get from your dashboard.
# pip install requests
import requests
proxy = "http://USER:[email protected]:7777"
resp = requests.get(
"https://httpbin.org/ip",
proxies={"http": proxy, "https": proxy},
timeout=10,
)
print(resp.json())
// npm install undici
import { fetch, ProxyAgent } from "undici";
const dispatcher = new ProxyAgent("http://USER:[email protected]:7777");
const resp = await fetch("https://httpbin.org/ip", { dispatcher });
console.log(await resp.json());
curl -x http://USER:[email protected]:7777 \
https://httpbin.org/ip \
--max-time 10
# scrapy-rotating-proxies works with any provider gateway
# settings.py:
DOWNLOADER_MIDDLEWARES = {
"scrapy.downloadermiddlewares.httpproxy.HttpProxyMiddleware": 400,
}
HTTP_PROXY = "http://USER:[email protected]:7777"
HTTPS_PROXY = "http://USER:[email protected]:7777"
// npm install playwright
import { chromium } from "playwright";
const browser = await chromium.launch({
proxy: {
server: "http://gate.scrapeless.com:7777",
username: "USER",
password: "PASS",
},
});
const page = await browser.newPage();
await page.goto("https://httpbin.org/ip");
console.log(await page.locator("body").innerText());
await browser.close();
Need more? Scrapeless's official docs have language-specific quickstarts and SDK references.
Independent benchmarks
Last run 2026-05-05
Compliance & privacy
Auditable certifications, sourcing and data-handling posture.
Support & account
How they pick up the phone — and who answers.
Company & resources
Who builds and operates this product.
Key markets covered
195+ countries served.
Scrapeless vs alternatives
How Scrapeless stacks up against the closest providers in our directory. Tap any column header to read that review.
| Metric | Scrapeless | NetNut | Proxy-Seller | Scraper API |
|---|---|---|---|---|
| Starting price (entry plan) | — | $3.45 | $1.77 | $49.00 |
| Pool size | 90M+ residential IPs | 85M+ residential + 5M+ mobile IPs across 195 countries | 20M+ residential + 1M+ ISP/DC/IPv6 across 220+ countries | 100M+ requests |
| Locations | 195+ countries | — | — | — |
| Rating | 4.3 / 5 | 4.3 / 5 | 4.3 / 5 | 4.3 / 5 |
| Read review | YOU ARE HERE | View → | View → | View → |
How to get started with Scrapeless
A 5-minute walkthrough from sign-up to your first successful request. Total setup time: ~10 minutes.
-
1
Sign up for a free account
Create your Scrapeless account at https://scrapeless.com. You may need to add a payment method.
-
2
Grab your API key
From the dashboard, copy your API key into your environment variables (e.g. SCRAPELESS_KEY) so it never lands in source control.
-
3
Run your first request
Hit the documented endpoint with a single GET request. Most teams finish their hello-world call in under 5 minutes.
-
4
Wire up retries + monitoring
Configure retries on the client side and route Scrapeless responses into your APM (Datadog, New Relic, OpenTelemetry) so you catch ban-rate spikes early.
-
5
Scale up gradually
Start with 1k requests/hour, monitor success rate, then increase concurrency. At their current rates, most teams hit volume targets within a sprint.
Stuck? Check Scrapeless's documentation or email us.
User reviews
No reader reviews yet — be the first below.
Used Scrapeless? Write a review+
FAQ
The questions buyers actually ask.
