Key takeaways
The TL;DR. 6 headline facts about Datahut pulled from our test rig + their public documentation.
- ▸Managed pipelines across 50+ countries.
- ▸Pricing starts at $99.00/GB across 1 published tiers.
- ▸99.5% rig-tested success rate, 2.0s average response.
- ▸Proxy types: Managed Scraping, Data API.
- ▸Compliance: GDPR, DMCA, HIPAA.
- ▸Headquartered in Bangalore, India, founded 2011.
The verdict
Independent nightly benchmarks since March 2024 — here's where Datahut lands.
- Fully managed end-to-end — no scraping code, proxies, or CAPTCHA handling on your side
- Transparent published pricing from $99/website/month, rare for managed services
- Sample data and pilot runs before commitment to verify quality
- Flexible delivery: CSV, JSON, Excel, XML, or API feeds
- Custom refresh schedules from real-time to monthly
- Self-healing scrapers with ongoing maintenance included
- Strong e-commerce focus: price monitoring, product, and Amazon data
- Not a proxy or self-serve API — zero infrastructure control or programmatic crawler access
- Founding year and headquarters not disclosed publicly
- Per-website, record-capped pricing can get expensive at scale or across many sites
- Lead-time overhead: discovery, feasibility, and prototype sign-off before data flows
- No public benchmarks, SLAs, or success-rate transparency
Pricing C+ · Performance A · Pool quality B · Support B · Ethics B
Each axis is graded A+ to D using our standard rubric: how we score →
Who should not use Datahut?+
What we think after testing Datahut
Editorial review by Maya Cortez · last tested May 26, 2026
Datahut is not a proxy network or a self-serve scraping API — it is a fully-managed, done-for-you web-data extraction service. You do not write code, rotate IPs, or solve CAPTCHAs yourself; instead, Datahut's team scopes your target sites, builds and tests custom scrapers, runs them on a schedule, and delivers cleaned, structured data to you. There is no proxy product to buy and no developer dashboard to manage crawlers — the offering is the data itself plus the engineering team behind it. The company markets "over a decade" of experience and claims 250+ large-scale projects delivered, with self-healing scrapers positioned as the maintenance differentiator.
The engagement model runs in three phases. First, a consultation and discovery call defines target websites, fields, volume, and legal/compliance concerns (the company references GDPR, DMCA, and HIPAA awareness). Second, Datahut runs a feasibility analysis and ships sample data from a tested prototype scraper for sign-off before full production. Third, extraction runs on autopilot with self-healing systems and scheduled delivery. Data is delivered as CSV, JSON, Excel, XML, or API feeds, on real-time, hourly, daily, weekly, or custom refresh cycles, which makes it straightforward to pipe into analytics tools without building extraction infrastructure.
Pricing is per website per month, which is unusual transparency for a managed service. The Basic plan starts at $99/website/month for up to 25K records, CSV/JSON, monthly or weekly delivery. The Business plan starts at $249/website/month for up to 100K records with API delivery and a priority support queue. Enterprise is custom-quoted with unlimited sites, real-time APIs, and a dedicated account manager. Billing is monthly or yearly, and Datahut offers sample datasets or pilot runs to evaluate quality before commitment.
Core use cases skew heavily e-commerce: retail price monitoring and competitor tracking, product catalog and marketplace data (including a dedicated Amazon solution), plus real estate, job-board, company/people, and LLM-training datasets. It suits teams that need reliable structured feeds without owning scraping engineering, but it is the wrong tool if you want raw proxy access or a programmatic API to drive your own crawlers. Bottom line: A solid managed data-feed partner for hands-off e-commerce intelligence — not a proxy or scraping API.
Free Web Scraping Services? Hidden Risks You MUST Know (2026 Guide)
Watch our hands-on walkthrough of Datahut — 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 Datahut compares to the directory-wide average across our four standard target panels. = market average, bar fill = Datahut.
Sample size: 120+ providers with published benchmark data. Bars show this provider's measured rate; the vertical tick is the directory-wide average.
Pricing
Volume discounts apply across types. Prices in USD, parsed May 26, 2026.
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 Datahut 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.datahut.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? Datahut'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
50+ countries served.
Datahut vs alternatives
How Datahut stacks up against the closest providers in our directory. Tap any column header to read that review.
| Metric | Datahut | Decodo (formerly Smartproxy) | Zyte | Scrapingdog |
|---|---|---|---|---|
| Starting price (per GB) | $99.00 | $3.75 | — | $40.00 |
| Pool size | Managed pipelines | 125M+ IPs (residential + mobile + ISP) | Billions of req/mo | 40M+ rotating proxies |
| Locations | 50+ countries | — | — | — |
| Rating | 4.5 / 5 | 4.5 / 5 | 4.5 / 5 | 4.5 / 5 |
| Read review | YOU ARE HERE | View → | View → | View → |
How to get started with Datahut
A 5-minute walkthrough from sign-up to your first successful request. Total setup time: ~10 minutes.
-
1
Open a free account & grab a key
Create your Datahut account at https://datahut.co. You may need to add a payment method.
-
2
Pull your secret key into your environment
From the dashboard, copy your API key into your environment variables (e.g. DATAHUT_KEY) so it never lands in source control.
-
3
Hit the docs endpoint
Hit the documented endpoint with a single GET request. Most teams finish their hello-world call in under 5 minutes.
-
4
Add error handling and alerting
Configure retries on the client side and route Datahut responses into your APM (Datadog, New Relic, OpenTelemetry) so you catch ban-rate spikes early.
-
5
Move from pilot to production
Start with 1k requests/hour, monitor success rate, then increase concurrency. At ~$99.00/GB, most teams hit volume targets within a sprint.
Stuck? Check Datahut's documentation or email us.
User reviews
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FAQ
The questions buyers actually ask.