Prompt

what's the best web scraping API for pulling data from websites without getting blocked?

Technology / Data infrastructure3 observationsLast seen Sep 18, 2026

Latest observation

Sep 18, 2026PerplexityWeb search: on

For most production use cases, Zyte API is the best overall web-scraping API. It combines automatic proxy management, JavaScript rendering, browser-based fetching for difficult pages, structured extraction, and a pricing model that adapts to the target site’s complexity.

Bright Data Web Unlocker is the strongest alternative when you need maximum geographic coverage, very large volumes, or access to challenging targets. Independent comparisons have placed Bright Data among the highest-performing providers, while other benchmarks have rated Zyte especially well for success rate, response time, and cost efficiency.

Best options

ServiceBest forMain strengthMain drawback
Zyte APIGeneral production scrapingManaged extraction and automatic request routingPricing can be complex
Bright Data Web UnlockerEnterprise scale and difficult targetsLarge infrastructure and broad targetingExpensive and less simple to configure
Oxylabs Web Scraper APIHigh-volume enterprise projectsStrong rendering and managed proxy infrastructureHigher minimum commitment
ScrapingBeeDevelopers who want a simple APIEasy integration and JavaScript renderingLess control for advanced workflows
ApifyScraping combined with workflowsActors, scheduling, queues, storage, and automationCost depends on compute usage
ScraperAPIStraightforward HTML retrievalSimple setup and broad compatibilityLess capable for highly protected sites

My recommendation

Start with Zyte API if you want the best balance of reliability, extraction quality, and reduced infrastructure work. It is a good fit for price monitoring, market research, SERP collection, product catalogs, and other recurring datasets.

Choose Bright Data Web Unlocker if your priorities are maximum scale, precise geographic targeting, and difficult JavaScript-heavy sites. Choose ScrapingBee when ease of integration matters more than advanced control, or Apify when the scraping process needs scheduled jobs, queues, storage, and reusable workflows.

Avoiding blocks responsibly

No API can guarantee that a site will never block requests. Performance depends on the target, request rate, browser behavior, cookies, session consistency, and the site’s terms.

For legitimate collection:

  • Prefer an official API or licensed dataset when available.
  • Respect robots.txt, terms of service, and applicable privacy laws.
  • Cache pages and avoid repeatedly fetching unchanged content.
  • Use conservative concurrency and exponential backoff.
  • Use browser rendering only when the site genuinely requires it.
  • Do not use scraping tools to bypass authentication, paywalls, CAPTCHAs, or explicit access controls.

Bottom line

My default shortlist would be:

  1. Zyte API for the best overall managed experience.
  2. Bright Data Web Unlocker for enterprise scale and difficult targets.
  3. ScrapingBee for simple developer-friendly integration.
  4. Apify for complete scraping workflows rather than just page retrieval.

Before committing, run a small test against your actual target sites and compare successful responses, latency, extracted-data quality, total cost, and compliance requirements.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (3 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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