AI visibility report for Scrapfly
Vertical: Web Data Infrastructure for AI
AI search visibility benchmark across 5 platforms in Web Data Infrastructure for AI.
Presence Rate
Top-3 citations across 125 prompt × platform pairs
Sentiment
Peer Ranking
Key Metrics
Platform Breakdown
Grok
Perplexity
ChatGPT
Gemini Search
Google AI ModeOverview
Scrapfly is a bootstrapped web data infrastructure platform operated by Joam Intelligence, LLC, headquartered in Paris, France. Founded internally in 2017 and opened to the public in 2020, it offers five core APIs—Web Scraping, Cloud Browser, Screenshot, Data Extraction, and Crawler—unified under a single API key and credit-based billing model. The platform's technical differentiation centers on two proprietary in-house engines: Curlium, a curl fork achieving byte-perfect TLS/HTTP2/QUIC browser impersonation, and Scrapium, a hardened Chromium fork for stealthy browser automation. These power anti-bot bypass across 20+ vendors including Cloudflare, DataDome, and Akamai. Scrapfly also ships an MCP Server and AI Browser Agent, positioning the platform as web data infrastructure for agentic AI systems. Third-party benchmarks rank it #1 among scraping APIs by success rate.
Scrapfly provides a managed web data infrastructure platform for developers and AI teams, combining anti-bot bypass, JavaScript rendering, proxy rotation, LLM-powered data extraction, full-site crawling, cloud browser automation, and screenshot capture under a single API key. Its two proprietary stealth engines—Curlium and Scrapium—defeat TLS, HTTP/2, and behavioral fingerprinting checks from 20+ anti-bot vendors. An MCP Server and AI Browser Agent extend the platform into agentic AI workflows, connecting LLM clients like Claude and Cursor directly to live web data.
Key Facts
- Founded
- 2017
- HQ
- Paris, France
- Employees
- 2-10
- Customers
- 30,000+ enterprises
- Status
- Private (Bootstrapped)
Target users
Key Capabilities10
- Anti-bot bypass for 20+ vendors including Cloudflare, DataDome, Akamai, Kasada, PerimeterX, and Imperva via single asp=true parameter
- Dual proprietary stealth engines: Curlium (HTTP-level TLS/JA4/HTTP2/QUIC impersonation) and Scrapium (hardened Chromium fork)
- Cloud Browser API with CDP access for Playwright, Puppeteer, and Selenium over WebSocket
- LLM-powered Data Extraction API with pre-trained templates (products, articles, reviews, jobs) and natural-language prompt support
- Full-site Crawler API with BFS/DFS depth control, include/exclude path filters, and webhook streaming
- Screenshot API with full-page, viewport, and element capture in PNG/JPEG/WebP with anti-bot bypass
- Residential and datacenter proxy rotation across 190+ countries
- MCP Server for connecting AI agents and LLM clients to live web data with zero local setup
- Real-time monitoring dashboard with per-request cost, success rate, latency, and bypass telemetry
- AI Browser Agent supporting Browser Use, Stagehand, and Vibium with natural-language goal execution
Key Use Cases8
- AI training data and LLM pre-training corpus collection at scale
- E-commerce product, pricing, and availability monitoring
- Real estate listing and market data aggregation
- SERP and SEO rank tracking across search engines
- Lead generation from professional directories and company databases
- News and media content extraction for RAG pipelines
- Financial market data and competitive intelligence gathering
- Compliance monitoring and fraud detection via web surveillance
Recent Trend
How AI describes Scrapfly3
Scrapfly or Browserless : Managed proxies + rendering for reliable ingestion into orchestration tools.
What web data infrastructure platforms work best alongside open-source LLM orchestration tools for building self-updating knowledge bases?
Niche claims (e.g., ScrapeBadger, Decodo, Scrapfly) for 99%+ on specific sites, but less proven at massive production scale.
Which web scraping API providers have the best uptime and success rate guarantees for production AI data pipelines?
Browserless * ZenRows / Scrapfly / Scrape.do / Nimble : Strong universal APIs focused on bypass (WAF/anti-bot) and structured e-commerce output.
What web crawling platforms handle anti-bot detection well enough to reliably extract product data from major e-commerce sites at scale?
Most cited sources8
- 8
Best Web Scraping Tools in 2026
scrapfly.io·Product Page
- 5
LangChain Web Scraping: Build AI Agents & RAG ...
scrapfly.io·Blog Post
- 5
Top Web Crawler Tools in 2026 - Scrapfly Blog
scrapfly.io·Blog Post
- 4
Best Cloud Browser APIs in 2026 - Scrapfly Blog
scrapfly.io·Product Page
- 3
Top 4 Mobile Proxy Providers for Web Scraping
scrapfly.io·Blog Post
- 3
Top 5 Residential Proxy Providers for Web Scraping
scrapfly.io·Blog Post
Alternatives in Web Data Infrastructure for AI6
Scrapfly positions itself as a full-stack 'web data layer' for developers and AI teams, distinguishing itself through two proprietary in-house stealth engines—Curlium (a curl fork for byte-perfect TLS/HTTP/2/QUIC impersonation) and Scrapium (a hardened Chromium fork)—rather than relying on commodity headless-browser vendors.
- This engineering-first, bootstrapped posture lets it undercut enterprise proxy incumbents (Bright Data, Oxylabs) on setup complexity and lower-tier pricing while competing on anti-bot bypass quality against API peers like ScrapingBee and Zyte.
- Scrapfly's recent MCP Server, AI Browser Agent, and LLM framework integrations (LangChain, LlamaIndex, CrewAI) extend its positioning into agentic AI infrastructure, separating it from legacy scraping APIs with no AI-native interface.
- Third-party benchmarks (Scrapeway, Apr 2026) rank it #1 overall with a 98.8% success rate versus a 59.3% industry average.
Reviews
Praised
- Best-in-class anti-bot bypass (Cloudflare, DataDome, Akamai)
- Clean, well-documented Python SDK with resilient_scrape() retries
- Fast time-to-first-scrape; setup under an hour
- High and consistent success rates on protected sites
- Responsive customer support that follows up personally
- Real-time dashboard with per-request cost and success telemetry
- Effective JS rendering via simple API parameter
- Competitive pricing relative to in-house proxy infrastructure
Criticized
- Credit pricing complexity and unpredictability at scale
- ASP feature expensive (up to 25x baseline credits) for high-volume use
- Credits do not roll over month-to-month
- Opaque ERR::ASP::SHIELD_PROTECTION_FAILED error messages
- Learning curve for advanced feature configuration
- Difficulty scraping some social media platforms (especially X/Twitter)
- Dashboard UI less intuitive for debugging failed requests
- Limited free tier (1,000 credits) for evaluating protected-site workloads
Scrapfly earns consistently high user satisfaction, with a 4.9/5 average across 235 Capterra reviews as of April 2026. Reviewers most frequently praise the anti-bot bypass quality (particularly against Cloudflare, DataDome, and Akamai), the clean Python SDK with resilient_scrape() automatic retries, responsive customer support, and the quality of documentation. Common criticisms center on the complexity and unpredictability of credit pricing—especially for ASP-enabled requests which cost up to 25x more—and opaque error messages when bypass failures occur. Third-party benchmark site Scrapeway ranks Scrapfly #1 among scraping API services (April 2026) with a 98.8% average success rate versus a 59.3% industry average.
Pricing
Usage-based, credit-pool pricing spanning all five APIs on one key. Free tier: 1,000 credits on signup, no credit card, no time limit. Discovery: $30/month for 200,000 credits, 5 concurrent requests.
- Pro
$100/month for 1,000,000 credits, 20 concurrent requests, pay-as-you-go overflow at $3.50/10k credits. Startup: $250/month for 2,500,000 credits, 50 concurrent, overflow at $2.00/10k.
- Enterprise
$500/month for 5,500,000 credits, 100 concurrent, overflow at $1.20/10k. Custom contracts from $1,200/month with committed concurrency, dedicated residential pools, MSA/DPA, and 24/7 premium support. Credit cost per request scales from 1 credit (HTTP + datacenter IP) to 5 credits (+ JS rendering or anti-bot bypass) to 25 credits (+ residential proxy) to 60 credits (screenshot). Failed requests are never billed.
Limitations
- Credits do not carry over month-to-month, and no annual billing plans are available.
- The ASP (Anti-Scraping Protection) feature costs up to 25x the baseline credit rate, making high-volume bypass-heavy workloads significantly more expensive than baseline estimates suggest.
- Dynamic per-request credit pricing can make monthly spend difficult to predict in advance.
- Binary bandwidth (HTML responses over 1 MB, large JS assets) incurs additional credit charges beyond the per-request cost.
- Opaque error messages on ASP bypass failures (ERR::ASP::SHIELD_PROTECTION_FAILED) do not distinguish configuration errors from transient platform-side issues.
- Reviewers note difficulty scraping some social platforms, particularly X (Twitter).
- The free tier's 1,000 credits is limited for meaningful evaluation of protected-site workloads.
Frequently asked questions
Topic Coverage
Prompt-Level Results
| Prompt | ChatGPT | Gemini Search | Perplexity | Grok | Google AI Mode |
|---|---|---|---|---|---|
Capability3/5 cited (60%) | |||||
I need to extract and chunk web content automatically for an LLM agent — which web data services offer built-in chunking or semantic splitting? | |||||
Looking for a web extraction platform that converts full websites into structured markdown for a retrieval-augmented generation system — what are my options? | |||||
Which proxy network services support session-based scraping with geotargeting at the city level for market intelligence use cases? | |||||
Which web scraping APIs can reliably handle JavaScript-heavy single-page applications and return clean structured data for AI training? | |||||
What web crawling platforms handle anti-bot detection well enough to reliably extract product data from major e-commerce sites at scale? | |||||
Developer Experience2/5 cited (40%) | |||||
What web data extraction services do ML engineering teams prefer when they need reliable structured output without writing custom parsers? | |||||
Which web scraping APIs have the best developer experience for a Python-first team building data pipelines for AI applications? | |||||
Which platforms for converting web content to LLM-ready formats have the clearest docs and the best debugging tools? | |||||
What do developers say about the day-to-day workflow for managing large-scale crawl jobs across different web extraction platforms? | |||||
I'm a tech lead evaluating proxy and scraping platforms — which ones have SDKs and client libraries that don't feel like an afterthought? | |||||
Integrations & Ecosystem4/5 cited (80%) | |||||
What web data extraction APIs have prebuilt connectors or plugins for common data warehouse and data lake destinations? | |||||
What web data infrastructure platforms work best alongside open-source LLM orchestration tools for building self-updating knowledge bases? | |||||
Which proxy or web scraping services offer webhook support and event-driven data delivery for real-time AI data ingestion workflows? | |||||
Which web scraping platforms integrate natively with vector databases and LLM orchestration frameworks for AI agent pipelines? | |||||
I'm building an AI agent that needs live web data — which web crawling APIs expose a simple REST or function-calling interface for agent use? | |||||
Performance & Reliability3/5 cited (60%) | |||||
I'm running a high-volume crawl pipeline for LLM fine-tuning data — which web data platforms scale to 10M+ pages per month reliably? | |||||
Which web scraping API providers have the best uptime and success rate guarantees for production AI data pipelines? | |||||
What are the fastest web content extraction APIs for real-time RAG use cases where latency under 2 seconds matters? | |||||
What web extraction services do teams use when they need consistent structured output quality across dynamic and static pages at production scale? | |||||
Which enterprise proxy network providers can handle millions of requests per day without significant rate-limit failures or IP bans? | |||||
Setup & First Run2/5 cited (40%) | |||||
What's the easiest web scraping API to get running in under an hour for a solo dev building an LLM data pipeline? | |||||
Which proxy network providers make it easiest to get rotating residential IPs set up without a lengthy sales process? | |||||
I'm evaluating web data extraction platforms for an AI startup — which ones let me go from signup to first successful structured data extraction the fastest? | |||||
What are the best web crawling APIs for a small team that wants clean markdown output for LLM ingestion with minimal configuration? | |||||
I'm building a RAG pipeline and need to pull content from hundreds of URLs — which web extraction services have the fastest onboarding? | |||||
Strengths1
What web data infrastructure platforms work best alongside open-source LLM orchestration tools for building self-updating knowledge bases?
Avg # 5.0 · 1 platform
Gaps5
What's the easiest web scraping API to get running in under an hour for a solo dev building an LLM data pipeline?
Competitors on 5 platforms
I'm running a high-volume crawl pipeline for LLM fine-tuning data — which web data platforms scale to 10M+ pages per month reliably?
Competitors on 4 platforms
Which web scraping API providers have the best uptime and success rate guarantees for production AI data pipelines?
Competitors on 4 platforms
What are the best web crawling APIs for a small team that wants clean markdown output for LLM ingestion with minimal configuration?
Competitors on 4 platforms
I'm building a RAG pipeline and need to pull content from hundreds of URLs — which web extraction services have the fastest onboarding?
Competitors on 4 platforms
Vertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Firecrawl | 56.0% | 37.7% | 8.0% | 50.4% | 54.4% | #21.9 | +0.43 |
| 2 | Bright Data | 44.8% | 18.8% | 4.8% | 42.4% | 44.0% | #25.1 | +0.40 |
| 3 | Apify | 24.8% | 12.5% | 6.4% | 17.6% | 24.8% | #31.4 | +0.37 |
| 4 | ScrapingBee | 23.2% | 8.9% | 0.8% | 20.0% | 23.2% | #25.7 | +0.46 |
| 5 | Zyte | 19.2% | 6.8% | 2.4% | 11.2% | 19.2% | #45.7 | +0.50 |
| 6 | Scrapfly | 14.4% | 3.3% | 1.6% | 10.4% | 13.6% | #23.0 | +0.42 |
| 7 | Oxylabs | 13.6% | 5.7% | 3.2% | 8.8% | 13.6% | #34.8 | +0.45 |
| 8 | Crawl4AI | 9.6% | 2.5% | 3.2% | 0.0% | 9.6% | #26.9 | +0.50 |
| 9 | Octoparse | 7.2% | 1.2% | 0.0% | 6.4% | 6.4% | #20.9 | +0.25 |
| 10 | Jina AI | 4.8% | 2.6% | 1.6% | 0.8% | 4.8% | #51.4 | +0.54 |
| 11 | Crawlee (by Apify) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 12 | Diffbot | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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