Prompt

what’s the best web scraping API for extracting data from sites without getting blocked?

Technology / Data infrastructure2 observationsLast seen Sep 18, 2026

Latest observation

Sep 18, 2026PerplexityWeb search: on

For extracting data from permitted websites, ZenRows is the strongest choice when your top priority is high success on protected targets. Recent benchmark results reported a 99% success rate and an average response time of 9.1 seconds, ahead of Scrapfly, Zyte, and ScraperAPI in that particular test.

However, those results are vendor-published and used a limited set of targets, so they should not be treated as universal. Scrapfly is a strong alternative for reliable default configurations, while Zyte is often the better choice when you need structured extraction, browser rendering, and enterprise-grade workflow support rather than only request success.

Best options

APIBest forStrengthTrade-off
ZenRowsProtected sites and anti-bot reliabilityHigh reported success in recent benchmarksHigher effective cost
ScrapflyReliable browser-based scrapingStrong default configuration and detailed controlsCan be expensive at scale
Zyte APIStructured production extractionRendering, extraction, and managed request handlingPerformance varies by target
Bright Data Web UnlockerEnterprise scale and geographic targetingBroad infrastructure and managed unlockingHigher complexity and cost
ScraperAPIMainstream sites and bulk jobsSimple integration and accessible pricingLess reliable on heavily protected targets
ApifyComplete scraping operationsScheduling, queues, storage, and reusable ActorsMore of a platform than a single API

My recommendation

Start with ZenRows if your primary metric is successful extraction from challenging but permitted public pages. Choose Scrapfly if you want strong browser controls, debugging information, and a reliable default setup.

Choose Zyte API when you need clean structured output, JavaScript rendering, and a managed enterprise workflow. Choose Apify when you also need scheduling, retries, queues, datasets, and storage.

For straightforward public websites, ScraperAPI may be sufficient and more economical. For very large enterprise workloads requiring geographic targeting and broader infrastructure, evaluate Bright Data Web Unlocker alongside Zyte and ZenRows.

Avoiding blocks responsibly

No scraping API can guarantee permanent access. A site may block requests based on volume, session patterns, cookies, browser signals, account behavior, or policy violations.

For legitimate collection:

  • Use official APIs or licensed data feeds when available.
  • Follow the target site’s terms and robots.txt.
  • Keep concurrency and request rates conservative.
  • Use exponential backoff and cache unchanged content.
  • Track successful, usable records rather than HTTP 200 responses alone.
  • Do not bypass authentication, paywalls, CAPTCHAs, or explicit access controls.

Bottom line

My shortlist is:

  1. ZenRows — best first test for difficult protected targets.
  2. Scrapfly — best alternative for robust browser-based extraction.
  3. Zyte API — best for structured enterprise workflows.
  4. Bright Data Web Unlocker — best for large-scale infrastructure and geo-targeting.
  5. ScraperAPI — best for simpler mainstream scraping.
  6. Apify — best for full scraping operations around the API.

Before purchasing, run the same small benchmark across your actual domains. Compare successful usable records, latency, total cost, extraction accuracy, and compliance requirements rather than relying on a provider’s headline success rate.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (2 observations for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

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