The website you need data from was built to stop you from getting it.

Three proxy networks. Headless browser rendering. Anti-bot bypass. Residential IP rotation. AI-powered content extraction. One platform handles the infrastructure so you get clean data — not blocked requests.

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No credit card required. Smart routing picks the cheapest provider that works.

Why 90% of scraping projects fail — and how the infrastructure layer fixes it

You're not bad at scraping. The infrastructure is the hard part.

Building it yourself
  • Buy proxy subscriptions from 3 providers — $200+/month before you scrape a single page
  • Write retry logic, rate limiting, and error handling for every provider
  • Sites detect your headless browser and serve you a CAPTCHA wall or empty HTML
  • JavaScript-rendered pages return blank content with static HTTP requests
  • IP gets banned mid-job — entire batch fails, no automatic fallback
  • Spend more time maintaining scraping infrastructure than using the data
With this platform
  • Three proxy networks pre-configured — system picks the cheapest one that works
  • Smart routing tries direct fetch first, falls back through providers automatically
  • Anti-bot bypass handles CAPTCHAs, browser fingerprinting, and bot detection
  • Full headless browser rendering for JavaScript-heavy sites — React, Angular, SPAs
  • Residential IP pools for sites that block datacenter IPs — LinkedIn, G2, protected sites
  • AI extracts clean structured data — not raw HTML you have to parse yourself

Here's how three layers turn any URL into clean data

Three layers. One API call. Clean data out.

You send a URL. The platform decides how to fetch it, which proxy to use, and how to extract the data. You get structured output.

1
Smart Routing

The system tries the cheapest method first — a direct HTTP request. If the page returns a bot-block or empty content, it automatically escalates through proxy providers. JavaScript-heavy domains get headless browser rendering. You don't configure any of this.

2
Proxy Rotation

Three proxy networks with different strengths — datacenter IPs for speed, residential IPs for hard-to-scrape sites, geo-targeted IPs for location-specific content. The system picks the right pool based on the target domain and switches automatically on failure.

3
AI Extraction

Raw HTML is useless. The extraction layer strips navigation, ads, and boilerplate — then pulls out the content that matters. Titles, headings, main text, contact info, structured fields. Returns clean data, not a wall of tags.

Under the hood: how a request flows through the stack
Proxy Layer

3 Provider Networks

  • Anti-bot bypass (ASP mode)
  • JS rendering (headless browser)
  • Residential IP pools
  • Geo-targeting (country-level)
  • POST/PUT support for APIs
Routing Layer

Smart Dispatch

  • Direct-first, proxy fallback
  • Domain-aware JS detection
  • Cost-optimized provider selection
  • 1-hour response caching
  • Automatic retry on failure
Extraction Layer

AI Content Extraction

  • Trafilatura article extraction
  • HTML-to-Markdown with AI
  • Contact discovery (5-step)
  • Nav/footer/sidebar removal
  • Image description via AI

Flow: URL enters the routing layer → router selects the cheapest provider that handles the domain → proxy layer fetches the page → extraction layer returns structured data. If a provider fails, the router tries the next one automatically.

What you get back — real output fields from a single URL
Content Extraction 200 OK

Generic Scraper Output

raw_title: "How We Increased Revenue 340% With..."
raw_meta_description: "A case study on conversion optim..."
raw_headings: ["The Problem", "Our Approach", ...]
raw_content_blocks: [top 3 scored blocks, 40+ words each]
raw_content: "Full article text via Trafilatura..."
Contact Discovery 5 contacts found

Website Contacts Output

first_name: "Sarah"
last_name: "Chen"
job_title: "VP of Marketing"
email_type: "person"
pages_fetched: ["/", "/about", "/team", "/contact"]
3

Proxy provider networks

15+

Site-specific scrapers

5

Routing strategies

1hr

Automatic result caching

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Smart routing picks the cheapest provider automatically.

See what each layer actually does — and why it matters

Three proxy networks. Five routing strategies. One extraction engine.

Most scraping tools give you a proxy and wish you luck. This platform handles the entire pipeline from request to structured data.

Anti-Bot Bypass

Modern websites use browser fingerprinting, CAPTCHA challenges, and behavioral analysis to block scrapers. Anti-Scraping Protection mode handles all of it — the request looks like a real person browsing from a residential connection. Works on sites that block Puppeteer, Playwright, and standard proxy pools. Sites like G2, LinkedIn, and Google Maps that actively fight automated access.

JavaScript Rendering

Static HTTP requests return empty pages on React, Angular, and SPA sites. The platform spins up a full headless browser, waits for specific DOM elements to load, and even executes custom JavaScript inside the rendered page. Google Maps data, for example, is extracted by injecting browser-side JS that reads the rendered business listings directly from the DOM. Configurable render wait times up to 15 seconds for heavy applications.

Residential Proxy Pools

Datacenter IPs get blocked on protected sites within minutes. Residential proxies route your requests through real consumer ISPs — the target site sees a home internet connection, not a server farm. Geo-targeting lets you see the exact content shown to users in specific countries. The system defaults to cheaper datacenter proxies and only switches to residential when needed — so you don't burn budget on easy targets.

AI Content Extraction

Getting the HTML is step one. Extracting useful content is step two. The platform strips nav, footer, sidebar, and boilerplate automatically. A Python-based article extractor (Trafilatura) pulls clean text from news sites and blogs. An LLM-powered pipeline converts HTML to Markdown with AI-generated image descriptions. A 5-step contact discovery pipeline finds email addresses, classifies them (person vs. generic), and extracts names and job titles from surrounding page context.

Smart Cost Routing

Every proxy call has a credit cost. A static fetch costs 1-2 credits. JavaScript rendering costs 6-10. Residential proxies cost more. The smart router tries direct HTTP first (free), then the cheapest proxy method, then escalates only when lower tiers fail. It also knows which domains need JavaScript rendering — Facebook, Google, experience.com — and skips straight to headless mode instead of wasting a cheaper request that would fail anyway. Cost budgets cap maximum spend per request.

15+ Site-Specific Scrapers

Generic extraction works for most sites. But YouTube, Reddit, G2, Zillow, Yelp, BizBuySell, Finviz, and others have specific data structures worth extracting cleanly. Site-specific scrapers return structured fields — video stats, review ratings, listing prices, stock screener data — not raw HTML. Each one handles that site's quirks: Zillow's internal API, G2's 180-second JS render time, Reddit's JSON endpoints.

Extract Your First Page

Handles anti-bot, JS rendering, and proxy rotation automatically.

How does this compare to building your own scraping stack?

Honest comparison: this vs. the alternatives.

You could build this yourself. Here's what that actually looks like.

This Platform DIY (Puppeteer + proxies) ScrapingBee Bright Data
Proxy providers 3 networks, auto-switching
Datacenter + residential + geo-targeted 		You manage each one
Separate accounts, separate billing 		1 network
No fallback if it fails 		Large network
But complex pricing, min commitments
Anti-bot bypass Built-in ASP mode
One parameter, handles everything 		You build it
Browser fingerprint spoofing, header rotation 		Available
Extra cost per request 		Available
Separate "unlocker" product
JS rendering Full headless browser
Custom JS injection, DOM wait, 15s+ render 		You host Puppeteer
Server costs, memory management, crashes 		Available
5x credit cost 		Available
Separate product tier
Content extraction AI-powered
Trafilatura + LLM + contact discovery 		You write parsers
Per-site CSS selectors, break constantly 		None
Returns raw HTML 		Basic
Separate "data collector" add-on
Smart routing Direct → proxy fallback
Domain-aware, cost-optimized 		N/A — all manual N/A — one provider N/A — one provider
Setup time Minutes
Sign up, send a URL, get data 		Weeks
Infrastructure, proxy accounts, retry logic 		Hours
API integration, still need parsers 		Days
Complex product matrix, sales calls

DIY scraping means maintaining infrastructure instead of using data. Single-provider services leave you stuck when their network can't reach a site. This platform combines multiple providers with smart routing and AI extraction — the whole pipeline, not just the proxy.

Still not sure? Zero risk to find out.

No credit card required

Send your first scraping request and see real output before you pay anything. Judge the data quality yourself.

Cancel anytime

No contracts, no minimum commitments. Scale up when you need more, scale down when you don't.

Pay only for what you use

Smart routing picks the cheapest provider that works. Direct fetches are free. You only pay for proxy credits when needed.

Try It Free

Try it free, cancel anytime.

Why I built this

I needed data from Google Maps, G2, LinkedIn, and a dozen other sites. Every one of them actively blocks scrapers. I tried building it myself — Puppeteer scripts, rotating proxy lists from three different providers, retry logic, error handling. It worked until it didn't. A site would change their bot detection, my scripts would break, and I'd spend a weekend debugging infrastructure instead of using the data I needed.

The proxy bills alone were over $300 a month. And that was before the server costs for running headless browsers, the time spent writing CSS selectors for each site, and the hours lost when a proxy provider went down and took my entire pipeline with it. I had more code managing the scraping infrastructure than actually processing the results.

So I built a layer that handles all of it. Three proxy networks that fail over to each other. A smart router that tries the cheapest method first. JavaScript rendering when needed. AI that extracts clean data instead of dumping raw HTML. The scraping infrastructure became a solved problem, and I could focus on what actually matters — the data.

That's what this is. The infrastructure layer you'd build if you had six months and a DevOps engineer. Except it already works.

Common questions

Three independent proxy networks with different strengths. The system picks the right one based on the target site and the type of request. You don't need to configure anything — just send a URL and the router handles provider selection, failover, and cost optimization.

Yes. Full headless browser rendering with configurable wait times. You can wait for specific DOM elements to load, execute custom JavaScript inside the rendered page, and set render timeouts up to 15+ seconds for heavy applications. The system automatically detects known JS-heavy domains and enables rendering without you asking.

Virtually any public website. The generic scraper handles most sites out of the box. For high-value targets — YouTube, Reddit, G2, Zillow, Yelp, BizBuySell, Finviz, Google Maps, and others — site-specific scrapers return structured fields (video stats, review ratings, listing prices) instead of raw HTML. Anti-bot bypass and residential proxies handle protected sites that block standard tools.

Three extraction modes. Generic extraction uses Trafilatura (a Python article extractor) with a scoring fallback that ranks content blocks by word count and link density — stripping nav, footer, and sidebar automatically. HTML-to-Markdown mode uses an LLM to produce clean Markdown with AI-generated image descriptions. Contact discovery runs a 5-step pipeline that scans homepages and contact/about/team pages, extracts emails via mailto links and regex, filters junk addresses, and uses an LLM to classify each contact and extract names and job titles.

Web scraping of publicly available data is generally legal under US law (hiQ Labs v. LinkedIn, 2022). The platform only accesses public pages — it doesn't bypass paywalls, crack passwords, or access private data. Comply with each site's terms of service and applicable regulations. The built-in caching and rate limiting help you scrape responsibly.

It depends on the complexity. Direct HTTP requests (no proxy needed) are free. Static proxy requests cost 1-2 credits. JavaScript-rendered requests cost 6-10 credits. Residential proxy pools cost more but are only used when cheaper options fail. Smart routing ensures you never pay more than necessary — the system always tries the cheapest method first and only escalates when it has to. Cost budgets let you cap spend per request.

Yes. Results are cached for 1 hour by default to avoid redundant requests. Batch processing handles large URL lists. The multi-provider architecture means you're not limited by any single proxy network's capacity. If one provider is slow or rate-limited, the system routes through another. The infrastructure scales independently of your application logic.

Every hour you spend debugging proxy rotations is an hour you're not using the data.

The infrastructure is a solved problem. Three proxy networks, smart routing, AI extraction. Send a URL, get clean data.

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No credit card. No contracts. Smart routing picks the cheapest provider.

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