How to Scrape Websites Without Getting Blocked (2026 Proxy Guide)

Getting blocked is the number one reason scrapers fail in production. A single datacenter IP hammering a site earns a CAPTCHA in minutes, and hand-written selectors shatter the next time the page changes. This guide covers what actually keeps a scraper alive at scale in 2026.

The short answer

To scrape without getting blocked, rotate IPs from a reputation-scored proxy pool, randomize your headers and TLS fingerprint on every request, throttle politely, and prefer the site's private JSON API over parsing HTML. If you don't want to build and babysit that stack, ArrowCrawl does all four automatically behind one call:

curl -X POST https://api.arrowcrawl.com/api/v1/scrape \
  -H "Authorization: Bearer ac_live_..." \
  -d '{"url":"https://example.com/product/123","format":"json","render":true}'

That request routes through a rotating proxy pool, spoofs a realistic browser fingerprint, renders JavaScript when needed, and returns clean structured data - no proxy config on your side.

1. Rotate reputation-scored proxies

The fastest way to get blocked is to send every request from the same IP. Rotation spreads traffic across many addresses, but naive rotation still fails because some IPs are already burned. ArrowCrawl scores each IP by recent success rate: when an address starts drawing CAPTCHAs or 403s, it is scored down and rotated out automatically, and healthy IPs get more traffic. You never see the pool - you just get a response. See the full list on the features page.

2. Randomize headers and fingerprints

Bot detectors don't just look at your IP. They inspect the User-Agent, header order, Accept-Language, and the TLS/JA3 fingerprint of the connection. A default Python or Node HTTP client is trivially identifiable. The fix is to present a consistent, realistic browser identity - matching header sets and TLS profiles that look like a real Chrome or Safari session - and vary it across requests so no single signature stands out. ArrowCrawl generates these per request.

3. Prefer private JSON APIs over HTML

Most modern sites render from an internal JSON endpoint that the page itself calls. Hitting that endpoint directly is faster, lighter, and far less fragile than scraping rendered HTML, and it often needs less aggressive anti-bot evasion. When a JSON source exists, ArrowCrawl prefers it and only falls back to full browser rendering when the data is trapped in the DOM. That single decision cuts both block rates and cost.

4. Self-healing selectors

Even when you're never blocked, scrapers silently break when a site redesigns and your CSS selectors return null. Self-healing selectors re-discover fields - title, price, rating - by their semantic role rather than a fixed path, so extraction keeps working across layout changes. This is the difference between a scraper you check once a quarter and one you patch every week.

5. Throttle and go async at scale

Politeness matters: pace requests per domain instead of firing everything at once. For large jobs, submit an async batch and receive a webhook when it finishes rather than holding open thousands of connections. ArrowCrawl accepts batch jobs of up to 1,000 URLs with a callback, spreading them across the proxy pool at a safe rate. Usage-based limits and credits are on the pricing page.

Put it together

Blocking is rarely one problem - it's IPs, fingerprints, endpoint choice, and DOM drift compounding. You can assemble proxies, a headless browser, fingerprint spoofing, and a healing extraction layer yourself, or call one API that ships them together. Either way, the principles above are what keep a scraper running. When you're ready to skip the plumbing, grab a free API key and start with 1,000 credits a month.