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AI visibility report

AI visibility report for ScrapingBee in Web Data Infrastructure for AI.

Outside the top three on 21 of the 25 prompts buyers actually ask.

Firecrawl is cited on 17 of those losses.

25 prompts
6 platforms
Updated Jul 3, 2026 - refreshed weekly
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17percent
Presence Rate
Low presence

Still absent from 83.3% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.41
Sentiment
-1.00.0+1.0
Positive
No clearrank

Peer Ranking

#1#12
No clear rankin Web Data Infrastructure for AI

Key Metrics

Presence Rate16.7%
Share of Voice8.0%
Avg Position#37.8
Docs Presence2.0%
Blog Presence12.7%
Brand Mentions15.3%

Platform Breakdown

Grok
60%15/25 prompts
Perplexity
16%4/25 prompts
Gemini Search
8%2/25 prompts
ChatGPT
8%2/25 prompts
Google AI Mode
4%1/25 prompts
Bing Copilot
4%1/25 prompts

How to read this. ScrapingBee appears in 16.7% of tracked prompt responses. Presence is absolute coverage; share of voice is relative citation share; sentiment measures tone only when the brand appears.

Where ScrapingBee is losing

Prompts where competitors are visible and ScrapingBee is not.

These prompt-level losses are the first prompts to track and repair.

Where ScrapingBee is winning2

  • What web data extraction APIs have prebuilt connectors or plugins for common data warehouse and data lake destinations?

    Avg # 1.0 · 1 platform

  • What web crawling platforms handle anti-bot detection well enough to reliably extract product data from major e-commerce sites at scale?

    Avg # 2.5 · 2 platforms

Where ScrapingBee is losing5

  • 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

    Track this prompt
  • Looking for a web extraction platform that converts full websites into structured markdown for a retrieval-augmented generation system — what are my options?

    Competitors on 4 platforms

    Track this prompt
  • Which web scraping API providers have the best uptime and success rate guarantees for production AI data pipelines?

    Competitors on 4 platforms

    Track this prompt
  • 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 3 platforms

    Track this prompt
  • What do developers say about the day-to-day workflow for managing large-scale crawl jobs across different web extraction platforms?

    Competitors on 3 platforms

    Track this prompt

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Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ

Overview

ScrapingBee is a French web scraping API founded in 2019 by Kevin Sahin and Pierre de Wulf. The platform abstracts the complexity of headless browser management and proxy rotation into a single REST API, allowing developers to extract data from JavaScript-heavy websites without maintaining browser or proxy infrastructure. Key features include managed headless Chrome rendering, tiered proxy pools (standard, premium, stealth), AI-powered natural-language data extraction, CSS/XPath extraction rules, and dedicated scraper APIs for Google Search, Amazon, YouTube, and Walmart. The service is designed primarily for developers, SMBs, and data teams seeking a simple, reliable scraping solution. Bootstrapped to over 2,500 customers and approximately $5M ARR, ScrapingBee was acquired by Oxylabs in June 2025 for an eight-figure sum and continues operating independently.

ScrapingBee is a managed web scraping API that handles headless Chrome browser instances, proxy rotation, and anti-bot bypass so developers can focus on data extraction. It accepts a URL and optional parameters via a REST call and returns raw HTML, structured JSON, Markdown, plain text, or screenshots. The platform offers tiered proxy options (standard rotating, premium residential, stealth), AI-powered extraction using natural-language queries, JavaScript scenario scripting for interactive page actions, and dedicated APIs for high-demand sources like Google Search and Amazon. It is designed for ease of integration and is used across e-commerce price monitoring, SEO tracking, lead generation, AI training data collection, and competitive intelligence workflows.

Key Facts

Founded
2019
HQ
Paris, France
Founders
Kevin Sahin, Pierre de Wulf
Employees
2-10
Funding
~$150K
ARR
~$5M
Customers
2,500+
Status
Acquired by Oxylabs (Jun 2025), operating independently

Target users

Software developers and data engineers building scraping pipelinesE-commerce and pricing intelligence teamsSEO agencies and SERP monitoring teamsGrowth and lead-generation marketersAcademic researchers and data scientistsAI/ML teams collecting web-based training data

Key Capabilities10

  • Managed headless Chrome browser rendering (latest Chrome version, thousands of concurrent instances)
  • Automatic proxy rotation with standard, premium (residential), and stealth proxy tiers
  • JavaScript scenario automation (click, scroll, fill, evaluate, infinite scroll)
  • AI-powered data extraction via natural-language queries (ai_query / ai_extract_rules)
  • CSS and XPath extraction rules returning structured JSON
  • Dedicated scraper APIs for Google Search, Amazon, YouTube, Walmart, and ChatGPT
  • Markdown and plain-text output for LLM-ready content ingestion
  • Full-page, partial, and selector-targeted screenshots
  • IP geolocation targeting across dozens of country codes
  • MCP Server for AI agent integration

Key Use Cases8

  • E-commerce price monitoring and competitor tracking
  • SERP scraping and SEO rank tracking
  • Lead generation and contact data extraction
  • Real estate listing data collection
  • Review and sentiment monitoring across web platforms
  • AI and LLM training data collection from public web sources
  • Job board and talent market data aggregation
  • Market and competitive intelligence research

Recent Trend

Visibility+0.8 pts
Avg position+0.40
Sentiment-0.19

How AI describes ScrapingBee3

...-------------- If you are using a lower-level, lightweight scraping API that only outputs raw HTTP responses (like ScraperAPI, ScrapingBee, or ScrapingAnt ), they typically do not have native warehouse plugins built into their individual dashboards.

What web data extraction APIs have prebuilt connectors or plugins for common data warehouse and data lake destinations?

google-aiDirect ScrapingBee mention
ScrapingBee 1\. Context.dev (Best for AI/LLM Pipelines) ------------------------------------------- Context.dev is built explicitly for AI engineering and RAG pipelines.

Which web scraping APIs can reliably handle JavaScript-heavy single-page applications and return clean structured data for AI training?

google-aiDirect ScrapingBee mention
Consideration: While incredibly flexible, you will have to manage your own proxy rotation or use a managed proxy gateway (like ZenRows or ScrapingBee) if you plan on scraping sites heavily protected by Cloudflare or DataDome at scale.

Looking for a web extraction platform that converts full websites into structured markdown for a retrieval-augmented generation system — what are my options?

google-aiDirect ScrapingBee mention

Alternatives in Web Data Infrastructure for AI6

ScrapingBee positions itself as the developer-friendly, SMB-oriented web scraping API that abstracts away infrastructure complexity — headless browser management, proxy rotation, and CAPTCHA handling — behind a single REST API call.

  • Its core differentiator is ease of use and transparent, predictable pricing, targeting individual developers, startups, and mid-market teams rather than large enterprise buyers.
  • Post-acquisition by Oxylabs (June 2025), it continues operating independently as Oxylabs' direct-to-consumer product, covering the SMB and developer market segment that Oxylabs' enterprise offerings do not reach.
  • Compared with Bright Data and Oxylabs, ScrapingBee trades raw proxy network scale for simplicity and lower entry cost.
  • Compared with Zyte and Apify, it offers a simpler, less opinionated API with less orchestration overhead, though fewer advanced crawling and workflow capabilities.
View category comparison hub

Reviews

Praised

  • Easy API setup and onboarding
  • Clear, comprehensive documentation
  • Reliable uptime and consistent performance
  • Responsive and knowledgeable customer support
  • Effective anti-bot and anti-block handling
  • Broad programming language support
  • Predictable pricing relative to competitors
  • Free trial credits with no credit card required

Criticized

  • Credit multiplier system is confusing and hard to predict
  • JavaScript rendering enabled by default consumes credits unexpectedly
  • Pricing becomes expensive at scale
  • Limited error detail on failed requests
  • No built-in pagination or crawl orchestration
  • Lower success rates on complex targets like LinkedIn or Zillow
  • Stealth proxy has feature restrictions

User sentiment across Capterra and Software Advice is predominantly positive, with reviewers consistently praising reliability, ease of setup, clear documentation, and responsive customer support. Long-term users highlight the service's consistent uptime and ability to handle anti-bot protections across major sites. The most common criticism is the credit multiplier system, which users find opaque and prone to unexpected cost overruns, particularly because JavaScript rendering is enabled by default. Some users note that error messages on failed requests lack detail, and that pricing becomes expensive at scale. Third-party benchmarks indicate strong performance on sites like Amazon, Instagram, and Booking.com, but lower success rates on complex targets such as LinkedIn and Zillow.

Pricing

ScrapingBee uses a credit-based subscription model with four published tiers (all prices exclude VAT): Freelance at $49/month (250,000 credits, 10 concurrent requests); Startup at $99/month (1,000,000 credits, 50 concurrent requests); Business at $249/month (3,000,000 credits, 100 concurrent requests); Business+ at $599/month (8,000,000 credits, 200 concurrent requests). Rotating proxies, premium proxies, geotargeting, screenshots, extraction rules, and the Google Search API are included in Startup and above. Credits consumed per request vary from 1 (basic HTTP, no JS) to 75 (stealth proxy with JS rendering). Custom plans are available for usage above the Business+ tier. New accounts receive 1,000 free API credits with no credit card required.

Limitations

  • ScrapingBee's credit-based pricing model, where a single request can cost 1–75 credits depending on features activated, creates budget unpredictability — a frequently cited user complaint.
  • JavaScript rendering is enabled by default (5 credits/request), meaning users can exhaust credits faster than expected without explicit configuration.
  • No built-in pagination management; users must handle multi-page scraping manually.
  • The stealth proxy tier (75 credits/request) does not support infinite scroll, custom headers, cookies, or the timeout parameter.
  • PDF scraping is not supported.
  • Concurrent request limits are relatively low on entry plans (10 for Freelance, 50 for Startup).
  • Third-party benchmarks indicate lower success rates on complex targets such as LinkedIn and Zillow compared to some competitors.
  • Custom enterprise plans are only offered above the Business plan threshold.

Frequently asked questions

Topic coverageCoverage by buyer topic

Topic Coverage

Capability4/5DevEx3/5Integrations &Ecosystem4/5Performance &Reliability2/5Setup & First Run4/5

Prompt-Level Results

Brand citedCompetitor citedNot cited
PromptPerplexityGemini SearchGoogle AI ModeChatGPTBing CopilotGrok
Capability4/5 cited (80%)

Which web scraping APIs can reliably handle JavaScript-heavy single-page applications and return clean structured data for AI training?

Which proxy network services support session-based scraping with geotargeting at the city level for market intelligence use cases?

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?

What web crawling platforms handle anti-bot detection well enough to reliably extract product data from major e-commerce sites at scale?

Developer Experience3/5 cited (60%)

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?

Which platforms for converting web content to LLM-ready formats have the clearest docs and the best debugging tools?

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?

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 & Reliability2/5 cited (40%)

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 enterprise proxy network providers can handle millions of requests per day without significant rate-limit failures or IP bans?

What web extraction services do teams use when they need consistent structured output quality across dynamic and static pages at production scale?

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?

Setup & First Run4/5 cited (80%)

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's the easiest web scraping API to get running in under an hour for a solo dev building an LLM data pipeline?

What are the best web crawling APIs for a small team that wants clean markdown output for LLM ingestion with minimal configuration?

Which proxy network providers make it easiest to get rotating residential IPs set up without a lengthy sales process?

I'm building a RAG pipeline and need to pull content from hundreds of URLs — which web extraction services have the fastest onboarding?

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Vertical Ranking

#BrandPres.SoVDocsBlogMent.PosSentiment
1Firecrawl43.3%30.7%6.0%33.3%42.7%#22.1+0.48
2Bright Data35.3%18.8%5.3%30.0%32.0%#24.3+0.44
3Apify24.7%14.7%6.0%12.7%23.3%#38.1+0.40
4Scrapfly17.3%4.7%0.7%14.7%16.0%#15.7+0.45
5Oxylabs16.7%6.5%2.0%13.3%16.0%#31.1+0.37
6ScrapingBee16.7%8.0%2.0%12.7%15.3%#37.8+0.41
7Zyte14.7%7.7%3.3%10.7%14.0%#39.6+0.48
8Crawl4AI7.3%2.4%5.3%0.0%7.3%#21.6+0.67
9Jina AI6.0%3.4%0.7%0.7%6.0%#49.8+0.27
10Octoparse5.3%1.6%0.0%5.3%4.0%#17.2+0.27
11Diffbot1.3%1.4%0.0%0.7%1.3%#28.4+0.25
12Crawlee0.0%0.0%0.0%0.0%0.0%

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