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Measured on six things

AI-powered web scraping API that turns any webpage into c...

Security

HTTPS enforced with HSTS, frame protection, X-Content-Type-Options, Referrer-Policy, and SPF all present. Missing CSP, Permissions-Policy, and DMARC (8/12 checklist). API key + JWT auth documented; no SOC 2 or audit claims found.

Screenshots

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FineData.ai

About this app

FineData.ai is a developer-first web scraping API that takes the pain out of data extraction. Instead of writing brittle selectors and maintaining headless browsers, you define a JSON schema for the fields you need, send a URL, and get back clean structured data. It handles JavaScript rendering, proxy routing, anti-bot challenges, and even offers native MCP support so AI agents can fetch web data directly. The API supports multiple output formats (JSON, Markdown, text, links, screenshots), geo-targeting, and bring-your-own-proxy. Pricing is token-based and only successful requests are billed. With a free tier of 1,000 tokens monthly, it's accessible for side projects and scales to enterprise needs.

Key features

1Schema-based extraction: send a URL and a JSON Schema, get back clean structured JSON without writing selectors
2Native MCP server for AI agents — connect Claude, Cursor, or any MCP client with an API key
3Multiple output formats: JSON, Markdown, text, links, raw HTML, and screenshots in one request
4Geo-targeting (any country, no extra charge), bring-your-own-proxy, and stealth/headful rendering modes
5Token-based pricing where only successful requests are billed; 10,000 free tokens on signup

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

Data engineers and backend developers building data pipelines

Pain points

Maintaining scraping infrastructure, handling anti-bot, and writing selectors for every site change

Primary needs

Reliable, schema-based extraction that returns structured JSON without operational overhead

Demographic

AI/LLM developers and agents needing real-time web data

Pain points

Integrating web scraping into AI workflows without building custom connectors

Primary needs

Native MCP support and easy API access for agents to retrieve and structure web content

Demographic

E-commerce and market research analysts

Pain points

Collecting product prices, availability, and competitor data from multiple sites at scale

Primary needs

Scalable, cost-effective extraction with geo-targeting and low-maintenance pipelines

Scout Review

Written by AI from measured evidence, scored out of 100.

FineData.ai is a competent, well-positioned developer scraping API with a genuinely sharp wedge: schema-based extraction and native MCP support for AI agents. The docs are excellent, the free tier is generous, and the desktop experience is fast. The weak spots are mobile performance (LCP 4.5s), a security posture that stops at HTTPS + HSTS without CSP or DMARC, and accessibility failures that automated scores mask. It is early — the domain is under a year old — but the idea is sound and the execution is above average for its stage. Against ScrapingBee and Apify, it wins on AI-agent integration and schema simplicity, and loses on maturity and enterprise trust signals.

Measure by measure

Usability

Three-step quickstart, interactive API reference, copy-ready curl/Python/JS snippets, and a genuinely generous free tier (10,000 tokens on signup, no card). Docs are clear for developers; no GUI for non-coders.

Design

Clean dark developer-tool aesthetic with a live URL→JSON hero demo, consistent typography, and syntax-highlighted code blocks across homepage, docs, and changelog. Polished and on-brand for the audience.

Speed

Desktop Lighthouse 99/100, mobile 76/100 with LCP 4.5s and TBT 272ms. Fast on desktop, mobile LCP is the weak spot but CLS is a clean 0. No user lag complaints in collected evidence.

Security

Accessibility

Lighthouse accessibility 95/100. Failing audits: non-sequential heading order, color-only link distinction, and label/accessible-name mismatches. No published WCAG statement, but the automated baseline is strong.

Growth

Real problem (scraping infra is painful), specific wedge (JSON Schema extraction + native MCP for AI agents), and a category with clear headroom as agent workflows multiply. Domain is ~0.8 years old — early, but the positioning is sharp.

Improvement areas

Mobile performance: LCP of 4.5s is slow; desktop is 99/100 but mobile drags the experience down
Security hardening: missing CSP, Permissions-Policy, and DMARC; no SOC 2 or third-party audit claims
Accessibility: three failing audits (heading order, color-only links, label mismatches) that break screen readers
No visual/GUI interface for non-developer users despite targeting e-commerce and market-research analysts

Design & Usability

FineData.ai presents itself as a serious developer tool, and the design backs that up: a dark, code-forward landing page with a live URL→JSON demo, consistent typography, and syntax-highlighted snippets across the site. The docs are the strongest usability asset — a three-step quickstart, interactive API reference, and copy-ready examples in curl, Python, and JavaScript. The free tier (10,000 tokens on signup, no card, 1,000/month forever) is genuinely generous and lowers the barrier to trying it. The main gap is that 'developer-first' means developer-only: there is no visual schema builder or GUI for analysts who aren't comfortable with a terminal, which limits the e-commerce and market-research audience the site also targets.

Speed & Security

Speed is a tale of two devices: desktop Lighthouse hits 99/100, but mobile lands at 76/100 with an LCP of 4.5 seconds — slow enough that phone users wait through a blank screen. CLS of 0 and TBT of 272ms are solid, so the mobile issue is specifically first-paint weight. Security is competent but not hardened: HTTPS with HSTS, frame protection, X-Content-Type-Options, Referrer-Policy, and SPF are all in place, but CSP, Permissions-Policy, and DMARC are missing (8/12 checklist). For an API that handles customer keys and scrapes arbitrary URLs, the absence of CSP is a real gap. No SOC 2, ISO, or third-party audit claims were found, which is normal for an early-stage product but worth noting for enterprise buyers.

Accessibility & Growth

Accessibility scores well on automated checks (95/100), but the three failing audits are the ones that matter most for real users: heading order is non-sequential, links rely on color alone to be distinguishable, and visible labels don't match accessible names. Those are fixable in an afternoon and would push this into the high 90s. There is no published WCAG conformance statement, which is a missed trust signal. On growth, the idea is well-positioned: web scraping is a real, painful problem, and FineData's wedge — JSON Schema extraction plus a native MCP server for AI agents — is a concrete differentiator against ScrapingBee (no LLM extraction, no MCP) and Apify (steeper learning curve, less AI-focused). The category has clear headroom as agent workflows multiply, but the domain is only ~0.8 years old and traction is not yet established, so the wedge has to prove itself against two well-funded incumbents.

Conclusion

If you are a developer building an AI agent or a data pipeline and you are tired of maintaining headless browsers and rewriting selectors every time a site changes, FineData.ai is worth a serious look — the free tier costs you nothing but a signup. If you need enterprise compliance paperwork, a visual interface, or proven scale, come back in a year. The bones are good; the polish and the trust signals are still catching up.

Suggestions for improvement

Fix the three accessibility failures: sequential heading order, non-color link distinction, and matching accessible names — they are quick wins that would push the 95 to near-perfect.
Add CSP and DMARC to close the two most visible security gaps; a Permissions-Policy header would round out the checklist.
Improve mobile LCP (4.5s) by deferring non-critical JS and optimizing the hero demo assets — desktop is already at 99.
Publish a lightweight visual schema builder or a Postman-style GUI so non-developer analysts (e-commerce, market research) can use the product without a terminal.

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	FineData.ai	ScrapingBee	Apify
Schema-based structured extraction (JSON Schema → JSON)	Yes — core feature, define JSON Schema and get structured output	Partial — extraction rules and AI extraction, but no native JSON Schema contract	Via actors — pre-built scrapers, not a schema-first API
Native MCP support for AI agents	Yes — official MCP server via npx @finedata/mcp-server	No native MCP	MCP available via community/actor integrations, not core
Free tier	10,000 tokens on signup + 1,000/month free forever, no card	1,000 free API credits on signup, no monthly free tier	$5 free monthly usage credits on the free plan
Pricing model	Token-based, only successful requests billed; PAYG $0.55/1k tokens; plans $47–$399/mo	Credit-based per request; plans from ~$49/mo	Usage-based (compute units + proxy); free $5/mo credit, pay-as-you-go
Geo-targeting	Yes — any country, no extra charge	Yes — country-level proxy targeting	Yes — via proxy configuration, country-level
Learning curve	Low for developers — one POST request, schema in body	Low — simple REST API, similar to FineData	Steeper — actors, datasets, and platform concepts to learn