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Scrapfly

How the 9 leading AI models rank Scrapfly in web scraping APIs.

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11th
of 13 in category
20
Recommendation score
3 / 9
AI models agree

How each AI ranks it

average position Β· verbatim answers kept
ChatGPTChatGPTnot ranked
ClaudeClaude11th

Best Web Scraping APIs (2026)

Web scraping API reviews are notoriously biased since many are published by competing vendors themselves. That said, a few names consistently show up across independent comparisons, benchmarks, and industry roundups as the tools people actually use in production. Here's a breakdown by category:

πŸ† Enterprise-Grade / Highest Reliability at Scale

Bright Data β€” Frequently cited as the market leader for large-scale, heavily-protected targets. Bright Data leads with a 98.44% average success rate in an independent benchmark of 11 providers. It also offers a huge amount of infrastructure: Bright Data monitors its 437+ pre-built scrapers automatically and pushes updates when target sites change, eliminating the maintenance burden entirely from the customer's side.

Oxylabs β€” A perennial favorite for enterprise scraping. When it comes to large-scale scraping, Oxylabs is the heavyweight champion, armed with top-tier CAPTCHA-busting tools, a massive proxy collection, and JavaScript rendering for dynamic websites.

Zyte β€” Known for AI-assisted extraction. One roundup notes you should go with Zyte if you need AI-powered structured extraction.

⚑ Fast & Developer-Friendly (Mid-Market)

Scrape.do β€” Praised for speed and predictable pricing: it offers the fastest response times and predictable per-request cost, with a sub-5-second average.

ScraperAPI β€” A go-to for budget-conscious teams. It's recommended when you're on a budget and scraping mostly unprotected sites.

ScrapingBee β€” Repeatedly grouped with ScraperAPI as a solid, simple option: ScrapingBee and ScraperAPI fit developers needing simple unblocking endpoints.

Scrapingdog β€” Shows up often in "best of" lists as fast and cheap, with one benchmark claiming 1,000 free credits at $0.0002 per request, with 100% success on Amazon, Idealista, and Glassdoor in 2.6–5.6s (note: this test was published by Scrapingdog itself, so take with a grain of salt).

Decodo β€” Positioned as a solid budget pick with better reliability than some rivals: Decodo starts at $19/month and delivers 94.20% success versus ScrapingAnt's 68.14%, making it the better budget choice.

πŸ€– AI / LLM-Ready Output

Firecrawl β€” Popular in the AI/LLM space for turning pages into clean Markdown/JSON, though one competitor benchmark claims it refuses to scrape Instagram, LinkedIn, and Reddit at the API layer and fails reCAPTCHA on Google across every tier β€” so it's better suited to general content extraction than heavily-protected targets.

Apify β€” Also frequently grouped with the "focus on scale" enterprise players: Apify, along with Zyte, Bright Data, Oxylabs, and Scrapfly, focuses on scale, handling millions of requests across highly protected targets with strict SLA governance.

Scrapfly β€” Offers a fuller pipeline (proxies, JS rendering, AI extraction) rather than just a single endpoint.

🎯 Specialized (Social Media / Search Engines)

For targets like Instagram, TikTok, LinkedIn, and X, generic scrapers often struggle: these platforms run some of the most aggressive in-house bot detection on the web, and general scrapers either fail outright or burn premium multipliers just to get past a login wall, which is exactly why a dedicated social API wins here. Tools like Scrape Creators are built specifically for this niche.


How to Act

Gemininot ranked
PerplexityPerplexity7th

The top web scraping APIs people actually use are usually Bright Data, Zyte, ScraperAPI, ScrapingBee, Firecrawl, Apify, and Scrapfly. If you want the safest short list, Bright Data and Zyte are the most consistently recommended for hard targets, while Firecrawl is a common choice for AI/RAG workflows and ScrapingBee is a popular developer-friendly option.

A practical ranking by real-world use cases looks like this:

Use caseBest picksWhy
Hard-to-scrape, blocked, enterprise sitesBright Data, ZyteStrong benchmark performance, large proxy networks, broad feature sets.
General-purpose scraping with easy setupScraperAPI, ScrapingBeeWidely used, straightforward docs, managed proxy/browser handling.
AI / LLM ingestion / RAGFirecrawl, Spider, ScraplingReturns markdown/JSON and is built for agent workflows.
Large-scale crawling and automationApify, Bright DataMore of a platform than a pure API; good for scheduling, actors, and storage.
Budget-conscious or high-throughputScrape.do, ScrapingdogOften highlighted for price/performance and faster response times.

If you want the best overall brands to look at first, I’d start with:

  • Bright Data β€” often positioned as the most reliable overall, with strong benchmark results and a broad infrastructure footprint.
  • Zyte β€” repeatedly named a top overall choice in benchmark-oriented reviews, especially for difficult sites.
  • ScraperAPI β€” one of the most recognizable mainstream scraping APIs and commonly used for production scraping.
  • ScrapingBee β€” popular with developers because it abstracts proxies, retries, JS rendering, and screenshots.
  • Firecrawl β€” a leading choice for AI workflows because it outputs model-friendly markdown/JSON and supports agent integrations.
  • Apify β€” popular when you need scraping plus workflow automation, not just a single API call.
  • Scrapfly β€” frequently praised in practitioner discussions and comparison guides for difficult targets and modern scraping workflows.

A few important caveats:

  • There is no single universal winner; several 2026 guides explicitly say the β€œbest” API depends on whether you care most about reliability, cost, AI output, or enterprise scale.
  • Bright Data and Zyte tend to dominate benchmark-heavy reviews, while Firecrawl dominates AI-focused reviews.
  • Reddit and community discussions often mention Scrapfly favorably, but those are anecdotal rather than benchmark-based.

If you want, I can turn this into a top 5 recommendation by budget, by ease of use, or by anti-bot strength.

DeepSeekDeepSeeknot ranked
GrokGrok8th

Bright Data, Zyte, Oxylabs, ScrapingBee, Apify, and ScraperAPI (among others like Decodo/Smartproxy, ZenRows, and Scrapfly) are among the most frequently recommended and benchmarked web scraping APIs.

These stand out across independent benchmarks (e.g., Proxyway, Scrape.do, AI Multiple), review sites (G2, Capterra), and user discussions for real-world performance on protected sites, success rates, ease of use, and adoption. There is no universal "best"β€”it depends on your needs (e.g., enterprise scale, developer simplicity, AI-friendly output like Markdown/JSON, budget, or specific targets like e-commerce/SERPs). Most handle proxies, JS rendering/headless browsers, CAPTCHA solving, and retries automatically.

Top Recommendations

Here are the leading options based on recent 2025–2026 benchmarks, success rates on hard targets (e.g., Cloudflare, Akamai, e-commerce, social), response times, pricing models, and user feedback:

  • Bright Data β€” Often leads or ranks near the top for highest success rates (typically 98%+ in multi-provider tests) and largest residential proxy network (150M+ IPs across 195+ countries). Excellent for enterprise-scale, heavily protected sites, with pre-built scrapers (hundreds available), Web Unlocker, SERP APIs, and strong compliance features. High G2/Capterra ratings (~4.7/5). Pay-as-you-go or subscriptions; free trial/credits available. Best for reliability at volume.

  • Zyte API β€” Frequently tops independent benchmarks (e.g., Proxyway 2025 report) with the highest success rates on tough sites (~93%+ at varying loads) and solid speed. End-to-end scraping API with parsing options; developer-friendly with good customization. Strong for large-scale or complex pipelines. Usage-based pricing (often cost-effective). Highly regarded for performance over raw scale.

  • Oxylabs β€” Strong enterprise contender with high success rates (~85–98% range), massive proxy pool (100M+ IPs), and specialized endpoints (e.g., for e-commerce/SERPs). Features like AI assistants for code generation. Good for high-volume, geo-targeted scraping. Starts around $49+/mo or usage-based. Solid reviews for robustness.

  • ScrapingBee β€” Popular for simplicity and developer experience (headless Chrome, automatic proxy rotation, JS rendering, screenshots/PDFs). Competitive success rates (~84–96% in tests) and fast for many use cases. Excellent Capterra ratings (~4.9/5). Subscription model starting ~$49/mo with credits; free tier available. Great for JS-heavy sites and ease of integration.

  • Apify β€” Stands out for practical, real-world use via its large marketplace of 30K+ pre-built "Actors" (no-code or low-code scrapers for sites like Amazon, Instagram, Reddit, etc.), plus custom development. Strong for automation, AI/LLM pipelines, and scheduling/storage. High user ratings (4.7–4.8 on G2). Starts ~$29/mo + usage; free tier. Frequently praised in developer communities for ready-to-use solutions.

  • ScraperAPI (and similar like Scrape.do, ZenRows) β€” Good for straightforward, cost-effective scraping of mainstream or less-protected sites. Emphasizes simplicity (single endpoint handling proxies/rendering). Solid speeds in some tests and affordable entry. Often recommended for quick starts or budget-conscious projects.

Other notables:

  • Decodo (formerly Smartproxy): Strong value/performance balance and specialized APIs (SERP, e-commerce, social).
  • Scrapfly: High marks in independent leaderboards for success rates.
  • Firecrawl: Favored for AI/RAG use cases (clean Markdown output, crawling focus), though lower success on heavily protected targets.

Key Considerations for Choosing and Using

  • Benchmarks matter but vary β€” Success rates (often 80–99% on protected sites) depend on load, targets, and config. Proxyway and similar tests highlight Zyte/Bright Data/Oxylabs/ScrapingBee as top performers; test yourself with free credits.
  • Pricing β€” Mix of subscriptions ($29–75+/mo starters with credits) and pay-per-request/result/GB. Watch for JS rendering surcharges or "pay only on success" models. Most offer free tiers/trials.
  • Usage patterns β€” Enterprises lean toward Bright Data/Oxylabs/Zyte for scale. Developers and smaller teams favor ScrapingBee, Apify (for pre-builts), or ScraperAPI for simplicity. AI-focused users like Firecrawl or Markdown-capable options.
  • Best practices β€” Always respect robots.txt, rate limits, and terms of service. Many tools include compliance features (GDPR, etc.). Start with free tiers to benchmark on your targets.
  • Alternatives β€” Self-hosted/open-source (e.g., Scrapy + proxies, Playwright/Puppeteer with Browserless) or no-code tools for simpler needs.

For the latest, check vendor sites or recent benchmarks, as performance evolves with anti-bot changes. Many users combine tools (e.g., Apify for specific sites + a general API). If you share more details (budget, targets, volume, or tech stack), I can refine this further.

CopilotCopilotnot ranked
Google AIGoogle AInot ranked
AI ModeGoogle AI Modenot ranked
Open a row for the verbatim answer that AI model gave, captured during the monthly refreshEvery captured answer β†’

Sources AI cited for Scrapfly

Pages on scrapfly.io that AI models referenced in their answers about web scraping APIs. Receipts for the ranking, not an input to it.

How this is measured

Scrapfly’s AI Recommendation Score (20/100) reflects how widely and often the 9 AI models recommend it for web scraping APIs: share of voice, mention rate and how early the AI models name it. Cited sources are published as receipts, never as a score input. Every monthly refresh asks each AI model the same buyer question once, and the exact run count behind every edition is published in its JSON record. Placement is determined solely by AI recommendation data; it reflects what AI recommends and is not an endorsement by CiteHawk. Read the full methodology β†’

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