AI visibility report for ScrapingBee
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
Google AI Mode
Perplexity
ChatGPT
Gemini SearchOverview
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
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
How AI describes ScrapingBee3
Zyte (formerly Scrapinghub) , ScrapingBee , and Olostep/HasData : Frequently cited for AI-ready structured/JSON outputs, managed infrastructure, and simplicity.
What web data extraction services do ML engineering teams prefer when they need reliable structured output without writing custom parsers?
Thought for 4s ScrapingBee or Firecrawl stand out as the easiest for a solo dev to get running in under an hour, especially for an LLM data pipeline. [Dev](https://dev.to/danishashko/best-web-scraping-tools-in-2026-a-hands-on-comparison-of-the-top-...
What's the easiest web scraping API to get running in under an hour for a solo dev building an LLM data pipeline?
...p platforms with strong, first-class SDKs and client libraries for proxy/scraping workflows include Bright Data, Oxylabs, ScrapingBee, ZenRows, and Apify. These stand out because their libraries feel polished, actively maintained, idiomatic to the lang...
I'm a tech lead evaluating proxy and scraping platforms — which ones have SDKs and client libraries that don't feel like an afterthought?
Most cited sources8
3217 Best Web Scraping Tools Tested & Ranked For 2026
scrapingbee.com·Blog Post
- 17
ScrapingBee – The Best Web Scraping API
scrapingbee.com·Blog Post
- 8
9 Best Web Search APIs For AI Agents In 2026
scrapingbee.com·Blog Post
- 7
6 Best Web Scraping Service Providers - ScrapingBee
scrapingbee.com·Blog Post
- 6
Best E-Commerce Web Scraping Tools for 2026
scrapingbee.com·Blog Post
- 6
The Best eCommerce Scrapers for 2026
scrapingbee.com·Blog Post
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.
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 Coverage
Prompt-Level Results
| Prompt | ChatGPT | Gemini Search | Perplexity | Grok | Google AI Mode |
|---|---|---|---|---|---|
Capability4/5 cited (80%) | |||||
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 Experience3/5 cited (60%) | |||||
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 & Ecosystem2/5 cited (40%) | |||||
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 & Reliability4/5 cited (80%) | |||||
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 Run4/5 cited (80%) | |||||
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? | |||||
Strengths3
Which web scraping API providers have the best uptime and success rate guarantees for production AI data pipelines?
Avg # 2.0 · 1 platform
Which web scraping APIs have the best developer experience for a Python-first team building data pipelines for AI applications?
Avg # 5.7 · 3 platforms
Which web scraping platforms integrate natively with vector databases and LLM orchestration frameworks for AI agent pipelines?
Avg # 6.0 · 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
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
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?
Competitors on 3 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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