Web scraping API with rendering, proxies, and anti-bot tools. - Enhanced AI-powered platform providing advanced capabilities for modern development and business workflows. Features comprehensive tooling, integrations, and scalable architecture designed for professional teams and enterprise environments.
Web scraping that handles the hard parts — JavaScript rendering, proxies, and CAPTCHAs so you just get the data.
ScrapingBee is a web scraping API that handles the complex infrastructure needed to reliably extract data from websites at scale. It manages headless browser rendering, proxy rotation, CAPTCHA solving, and JavaScript execution, presenting a simple API where you send a URL and receive the rendered HTML or extracted data. For AI agents that need to read web pages — whether for RAG context gathering, data extraction, or real-time information retrieval — ScrapingBee eliminates the need to build and maintain scraping infrastructure.
The core API accepts a URL and returns the fully rendered page HTML, including content generated by JavaScript frameworks like React, Vue, or Angular. Parameters control JavaScript rendering (enable/disable), screenshot capture, custom headers, cookies, geographic proxy location (for location-specific content), premium proxy usage (for heavily protected sites), and wait conditions (wait for specific selectors to appear before returning). The extraction rules feature lets you define CSS selectors or JSON rules to extract specific data points from pages, returning structured data instead of raw HTML.
For AI agent workflows, ScrapingBee is typically used as the second step after a search API: the agent searches for relevant URLs using Serper or Tavily, then uses ScrapingBee to extract the full content of the most promising pages. This search-then-scrape pattern is fundamental to research agents, competitive intelligence bots, and any agent that needs current web information beyond what's available in its training data.
ScrapingBee's Google Search API add-on provides structured Google search results, though most agent developers use dedicated search APIs for this. The data extraction API can convert any page into structured JSON using AI-powered extraction rules, which is particularly useful for agents that need to pull specific fields (prices, specifications, contact info) from product pages or directories.
Pricing is credit-based: simple requests cost 1 credit, JavaScript rendering costs 5 credits, and premium proxies cost 10-75 credits. Plans start at $49/month for 1,000 credits. The credit-per-request model means costs vary significantly based on scraping complexity. LangChain doesn't have a built-in ScrapingBee integration, but the REST API is simple enough to wrap as a custom agent tool.
Key strengths include high reliability for JavaScript-heavy sites, good proxy network coverage, and straightforward pricing. Limitations include no built-in content cleaning (you get raw HTML that needs parsing), slower response times for JavaScript-rendered pages (5-15 seconds), and credit costs that escalate for premium proxy usage. For agents that primarily need clean text content rather than raw HTML, Firecrawl may be a better fit.
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ScrapingBee is a reliable web scraping API that handles JavaScript rendering and proxy rotation effectively. Good for agents that need raw HTML from difficult-to-scrape sites, though Firecrawl's cleaner output is better for LLM consumption.
AI-powered search that understands natural language queries and returns relevant results ranked by meaning.
Use Case:
Building intelligent search experiences that understand user intent rather than just matching keywords.
Real-time web search capabilities that agents can use to find current information and verify facts.
Use Case:
Grounding AI agent responses in current, factual information from the live web to reduce hallucinations.
Query structured and unstructured knowledge bases with natural language and get contextually relevant results.
Use Case:
RAG applications that need to search across internal documents, wikis, and knowledge bases.
Search across multiple data sources simultaneously with unified ranking and deduplication.
Use Case:
Comprehensive search experiences that combine results from internal databases, documents, and external sources.
Fine-tune search relevance with custom ranking models, boosting rules, and business logic filters.
Use Case:
Tailoring search results to specific use cases with domain-specific relevance tuning.
Simple API with client libraries, comprehensive documentation, and generous free tiers for development.
Use Case:
Quickly integrating search capabilities into AI agents and applications with minimal setup.
Free
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$49.00/month
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$99.00/month
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View Pricing Options →Automating multi-step business workflows with LLM decision layers.
Building retrieval-augmented assistants for internal knowledge.
Creating production-grade tool-using agents with controls.
Accelerating prototyping while preserving deployment discipline.
ScrapingBee works with these platforms and services:
We believe in transparent reviews. Here's what ScrapingBee doesn't handle well:
ScrapingBee provides reliable scraping with automatic proxy rotation, CAPTCHA solving, and retry logic. Success rates vary by target site complexity — simple sites achieve 98%+ success, while heavily protected sites may have lower rates. The API returns clear status codes and error messages for failed requests. JavaScript rendering adds latency (5-15 seconds) but dramatically improves success on dynamic sites. Premium proxies increase success rates on challenging targets.
No, ScrapingBee is a cloud API service. The value proposition is the managed proxy network, headless browser infrastructure, and CAPTCHA solving that would be expensive to replicate. For self-hosted scraping, Playwright or Puppeteer with a proxy service provides similar capabilities but requires managing browser instances, handling anti-bot detection, and maintaining proxy infrastructure yourself.
ScrapingBee uses a credit-based system where simple requests cost 1 credit and JavaScript rendering costs 5 credits. Premium proxies cost 10-75 credits. Optimize by avoiding JavaScript rendering when the target page serves content in static HTML, caching scraped content, implementing conditional scraping (only re-scrape if content has changed), and using the extraction rules feature to get structured data in one request instead of scraping then parsing separately.
ScrapingBee's REST API is simple (URL + parameters), making migration to alternatives like Firecrawl, Browserbase, or direct Playwright automation straightforward. The main consideration is that different scraping services have different proxy networks and success rates on specific target sites. Test alternatives against your specific target URLs before migrating. ScrapingBee's extraction rules are proprietary but the core scraping functionality is easily replaceable.
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In 2026, ScrapingBee improved its AI extraction capabilities for structured data from web pages, expanded its premium proxy network for better success rates on protected sites, and added screenshot-to-data features for visual content extraction.
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