Who is ScrapingBee best for?

ScrapingBee is built for Software developers and data engineers building scraping pipelines, E-commerce and pricing intelligence teams, SEO agencies and SERP monitoring teams, Growth and lead-generation marketers. Common use cases include E-commerce price monitoring and competitor tracking; SERP scraping and SEO rank tracking; Lead generation and contact data extraction.

How is ScrapingBee priced?

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.

What are the alternatives to ScrapingBee?

Common Web Data Infrastructure for AI alternatives to ScrapingBee include Firecrawl, Bright Data, Apify, Zyte, Oxylabs. See the full comparison hub at /verticals/web-data-infrastructure-for-ai/compare.

What do users praise about ScrapingBee?

Users frequently praise: 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.

What are common complaints about ScrapingBee?

Frequently cited limitations: 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.

When was ScrapingBee founded and where?

ScrapingBee was founded in 2019, headquartered in Paris, France by Kevin Sahin, Pierre de Wulf.

How big is ScrapingBee?

ScrapingBee reports 2-10 employees, 2,500+ customers, ~$5M ARR.

AI visibility report

ScrapingBee ranks #4 in Web Data Infrastructure for AI AI search.

Outside the top three on 19 of the 25 prompts buyers actually ask.

Firecrawl is cited on 18 of those losses.

25 prompts

6 platforms

Updated Aug 15, 2026 - refreshed weekly

Track ScrapingBee daily

Free trial. Setup comes pre-filled for ScrapingBee.

Track ScrapingBee across these prompts daily.

Start free trial

19percent

Presence Rate

Low presence

#4 among 12 vendors · still absent from 80.7% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.56

Sentiment

-1.00.0+1.0

Very positive

#4of 12

Peer Ranking

#1#12

Above averagein Web Data Infrastructure for AI

Key Metrics

Presence Rate

19.3%

Share of Voice

9.6%

Avg Position

#32.0

Docs Presence

2.7%

Blog Presence

16.0%

Brand Mentions

26.7%

Platform Breakdown

Grok

60%15/25 prompts

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.

AI visibility report

ScrapingBee ranks #4 in Web Data Infrastructure for AI AI search.

Outside the top three on 19 of the 25 prompts buyers actually ask.

Firecrawl is cited on 18 of those losses.

25 prompts

6 platforms

Updated Aug 15, 2026 - refreshed weekly

Track ScrapingBee daily

Free trial. Setup comes pre-filled for ScrapingBee.

Track ScrapingBee across these prompts daily.

Start free trial

19percent

Presence Rate

Low presence

#4 among 12 vendors · still absent from 80.7% of tracked prompt responses

Top-3 citations across 150 prompt × platform pairs

+0.56

Sentiment

-1.00.0+1.0

Very positive

#4of 12

Peer Ranking

#1#12

Above averagein Web Data Infrastructure for AI

Key Metrics

Presence Rate

19.3%

Share of Voice

9.6%

Avg Position

#32.0

Docs Presence

2.7%

Blog Presence

16.0%

Brand Mentions

26.7%

Platform Breakdown

Grok

60%15/25 prompts

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

Overview

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.

Prompt	ChatGPT	Perplexity	Bing Copilot	Google AI Mode	Gemini Search	Grok
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?	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited
Looking for a web extraction platform that converts full websites into structured markdown for a retrieval-augmented generation system — what are my options?

#	Brand	PresencePres.	Share of VoiceSoV	DocsDocs	BlogBlog	MentionsMent.	Avg PosPos	Sentiment
1	Firecrawl	51.3%	28.8%	6.0%	40.0%	60.7%	#21.2	+0.47
2	Bright Data	32.7%	17.9%	6.0%	27.3%	54.7%	#24.4	+0.50
3	Apify	26.7%	16.1%	11.3%	9.3%	54.0%	#34.9	+0.51
4	ScrapingBee	19.3%	9.6%	2.7%	16.0%	26.7%	#32.0	+0.56
5	Zyte	16.7%	9.3%	8.7%	8.0%	26.0%	#33.0	+0.60
6	Oxylabs	16.0%	6.8%	4.0%	9.3%	36.7%	#29.8	+0.49
7	Scrapfly	11.3%	3.2%	0.7%	10.0%	9.3%	#19.5	+0.44
8	Jina AI	8.0%	4.1%	0.7%	0.7%	6.0%	#41.9	+0.39
9	Crawl4AI	6.0%	2.4%	4.7%	0.0%	22.7%	#17.4	+0.59
10	Octoparse	4.0%	0.9%	0.0%	3.3%	2.7%	#18.6	+0.17
11	Diffbot	1.3%	0.8%	0.7%	0.7%	7.3%	#41.0	+0.30
12	Crawlee	0.0%	0.0%	0.0%	0.0%	0.0%	—	—

Developer Experience3/5 cited (60%)
I'm a tech lead evaluating proxy and scraping platforms — which ones have SDKs and client libraries that don't feel like an afterthought?	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	A competitor was cited	Your brand and a competitor were cited

Integrations & Ecosystem4/5 cited (80%)
What web data infrastructure platforms work best alongside open-source LLM orchestration tools for building self-updating knowledge bases?	A competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Your brand and a competitor were cited

Performance & Reliability4/5 cited (80%)
Which web scraping API providers have the best uptime and success rate guarantees for production AI data pipelines?	A competitor was cited	A competitor was cited	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	Your brand and a competitor were cited

ScrapingBee ranks #4 in Web Data Infrastructure for AI AI search.

Key Metrics

Platform Breakdown

Overview

ScrapingBee ranks #4 in Web Data Infrastructure for AI AI search.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and ScrapingBee is not.

Where ScrapingBee is winning2

Where ScrapingBee is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Recent Trend

How AI describes ScrapingBee3

Most cited sources8

Alternatives in Web Data Infrastructure for AI6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

Setup & First Run5/5 cited (100%)
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?	A competitor was cited	A competitor was cited	Neither your brand nor a competitor was cited	A competitor was cited	Your brand and a competitor were cited	Your brand and a competitor were cited

ScrapingBee ranks #4 in Web Data Infrastructure for AI AI search.

Key Metrics

Platform Breakdown

Overview

ScrapingBee ranks #4 in Web Data Infrastructure for AI AI search.

Key Metrics

Platform Breakdown

Overview

Prompts where competitors are visible and ScrapingBee is not.

Where ScrapingBee is winning2

Where ScrapingBee is losing5

Key Facts

Key Capabilities10

Key Use Cases8

Recent Trend

How AI describes ScrapingBee3

Most cited sources8

Alternatives in Web Data Infrastructure for AI6

Reviews

Pricing

Limitations

Topic Coverage

Prompt-Level Results

Vertical Ranking

Turn this into your team dashboard

Frequently asked questions

What does ScrapingBee do?

Who is ScrapingBee best for?

How is ScrapingBee priced?

What are the alternatives to ScrapingBee?

What do users praise about ScrapingBee?

What are common complaints about ScrapingBee?

When was ScrapingBee founded and where?

How big is ScrapingBee?