TL;DR
- Context.dev is the better ScrapingBee alternative for AI agents, RAG pipelines, product enrichment, and teams that want web scraping, structured extraction, brand data, screenshots, and Logo Link under one API.
- ScrapingBee's headline credit counts look large, but real usage can cost 5 credits for default JavaScript rendering, 25 credits for premium proxy with JavaScript, 75 credits for stealth proxy with JavaScript, and 5 extra credits for AI extraction.
- Context.dev publishes endpoint-level costs: Markdown, HTML, sitemap, crawl pages, image extraction, and web search are 1 credit; screenshots are 5 credits; AI extraction is 10 credits; brand retrieval is 10 credits.
- Context.dev does not add credit multipliers for JavaScript rendering, anti-bot bypass, or premium proxy escalation, and failed or blocked requests are not billed.
- ScrapingBee still makes sense if you specifically need its dedicated Google, Amazon, Walmart, YouTube, ChatGPT, or Gemini scraper APIs, or if you want its proxy-mode adapter for third-party scraping tools.
Quick Verdict
Choose Context.dev if you are building AI-native products and want predictable pricing. It gives you clean Markdown, rendered HTML, full-site crawls, screenshots, schema-based extraction, brand profiles, logos, fonts, colors, NAICS/SIC classification, transaction identification, official SDKs, and MCP access from one account. The important pricing difference is simple: Context.dev's web scraping endpoints have flat published costs and no stealth, JavaScript, or proxy credit multipliers.
Choose ScrapingBee if your project is mostly traditional proxy-backed scraping and you need one of its dedicated scraper APIs for Google Search, Amazon, Walmart, YouTube, ChatGPT, Gemini, or Fast Search. ScrapingBee is a capable scraping infrastructure vendor. The tradeoff is that you need to model the real credit math before trusting the headline number of monthly credits.
Pricing and feature details below were checked against the official ScrapingBee pricing page, ScrapingBee documentation, and Context.dev pricing page in July 2026.
ScrapingBee vs Context.dev Feature Comparison
| Dimension | Context.dev | ScrapingBee |
|---|---|---|
| Best fit | AI agents, RAG, product enrichment, LLM-ready extraction | Traditional scraping, proxy-backed HTML fetching, dedicated scraper APIs |
| Core output | Markdown, HTML, screenshots, images, sitemap URLs, crawled pages, schema-validated JSON | HTML, page source, Markdown, text, screenshots, CSS/XPath extraction, AI extraction |
| JavaScript rendering | Included in the scraping workflow without a separate JS multiplier | Enabled by default and raises rotating proxy requests from 1 credit to 5 credits |
| Anti-bot/proxy escalation | Included without stealth or premium proxy surcharges | Premium proxy costs 10 credits without JS or 25 with JS; stealth proxy with JS costs 75 credits |
| AI extraction | JSON schema extraction at 10 credits per call | AI extraction adds 5 credits on top of the regular API cost |
| Brand data | Logos, colors, fonts, styleguide, socials, address, company description, Logo Link CDN | Not a brand intelligence platform |
| Industry and transaction data | NAICS, SIC, transaction identification | Not a core feature |
| Dedicated search/scraper APIs | Web search endpoint, plus general extraction | Google, Fast Search, Amazon, YouTube, Walmart, ChatGPT, Gemini |
| SDKs | TypeScript, Python, Ruby, Go, PHP | Node, Python, Java, Ruby, PHP, Go examples and libraries |
| MCP | Yes | Remote MCP listed in docs |
| Pricing model | Subscription credits with clear endpoint costs and paid overage blocks | Subscription credits where request cost depends heavily on API parameters |
Pricing Comparison: Headline Credits vs Effective Requests
The biggest ScrapingBee pricing trap is that "credits" are not the same as "pages." ScrapingBee's pricing page lists large monthly credit buckets, but its documentation says API requests cost 1 to 75 credits depending on parameters. JavaScript rendering is enabled by default, so many normal pages start at 5 credits, not 1.
Context.dev also uses credits, but the web endpoint costs are easier to reason about. Scrape Markdown, Scrape HTML, Scrape Sitemap, Scrape Images, Crawl Website pages, and Web Search results are 1 credit. Screenshots are 5 credits. Structured extraction is 10 credits. Brand retrieval is 10 credits. There are no extra surcharges for JavaScript rendering, anti-bot bypass, or premium proxies.
| Plan | Context.dev monthly price and credits | ScrapingBee monthly price and credits |
|---|---|---|
| Entry paid | Hobby: $25 for 10,000 credits | Freelance: $49 for 250,000 credits |
| Starter | Starter: $49 for 30,000 credits | Startup: $99 for 1,000,000 credits |
| Pro/business | Pro: $149 for 200,000 credits | Business: $249 for 3,000,000 credits |
| Growth | Growth: $299 for 500,000 credits | Business+: $599 for 8,000,000 credits |
| Scale | Scale 1M: $499 for 1,000,000 credits; Scale 2.5M: $949 for 2,500,000 credits | Custom above Business+ |
| Overage | $15 to $6 per 10K credits by plan | Upgrade, renew early, buy one-time add-ons, or talk to sales |
| Tax note | Published USD plan pricing | ScrapingBee says prices are exclusive of VAT |
At first glance, ScrapingBee's credit buckets look much larger. The effective request count changes once you apply the multipliers.
| ScrapingBee plan | Headline credits | Rotating proxy without JS (1 credit) | Default rendered page (5 credits) | Premium proxy with JS (25 credits) | Stealth proxy with JS (75 credits) |
|---|---|---|---|---|---|
| Freelance, $49/mo | 250,000 | 250,000 pages | 50,000 pages | 10,000 pages | 3,333 pages |
| Startup, $99/mo | 1,000,000 | 1,000,000 pages | 200,000 pages | 40,000 pages | 13,333 pages |
| Business, $249/mo | 3,000,000 | 3,000,000 pages | 600,000 pages | 120,000 pages | 40,000 pages |
| Business+, $599/mo | 8,000,000 | 8,000,000 pages | 1,600,000 pages | 320,000 pages | 106,667 pages |
Those are still useful volumes, but they are not the same story as the pricing-page headline. If your targets need JavaScript, premium proxies, stealth proxies, or AI extraction, ScrapingBee's real unit cost rises quickly.
The ScrapingBee Hidden Fees Are Credit Multipliers
ScrapingBee's hidden fees are not mystery invoices. They are hidden cost drivers inside the credit system. The pricing page sells monthly credit pools, while the documentation explains which parameters burn more than one credit per request.
Hidden Fee 1: JavaScript Rendering Costs 5 Credits by Default
ScrapingBee's docs list render_js as true by default. Its credit table says rotating proxy without JavaScript costs 1 credit, while rotating proxy with JavaScript rendering costs 5 credits. That means a normal rendered page consumes five times the headline "one credit" mental model unless you explicitly disable JavaScript rendering.
Context.dev is built for pages that need rendering. You choose the endpoint and pay the endpoint price. There is no separate JavaScript-rendering multiplier to remember.
Hidden Fee 2: Premium Proxy Costs 10 to 25 Credits
ScrapingBee's premium_proxy=true flag is for harder targets and geolocation. It costs 10 credits without JavaScript rendering and 25 credits with JavaScript rendering. That is a 10x to 25x multiplier before AI extraction.
Context.dev does not ask you to choose whether a request deserves a "regular" or "premium" proxy bill. Stealth and anti-bot handling are included in the scraping flow with no premium-proxy surcharge.
Hidden Fee 3: Stealth Proxy with JavaScript Costs 75 Credits
ScrapingBee's stealth proxy is the most expensive path in its public credit table: 75 credits with JavaScript rendering. On the $49 Freelance plan, that turns 250,000 headline credits into about 3,333 stealth-rendered pages.
Context.dev's pricing page is explicit that there are no surcharges for stealth requests, JavaScript rendering, anti-bot bypass, or premium proxies.
Hidden Fee 4: AI Extraction Adds 5 Credits on Top
ScrapingBee's AI extraction parameters, ai_query and ai_extract_rules, add 5 credits on top of the regular API cost. A rendered page with AI extraction becomes 10 credits. A premium-proxy rendered page with AI extraction becomes 30 credits.
Context.dev prices structured extraction as an endpoint cost: Extract, Extract Product, and Extract Products are 10 credits per call. That makes the cost clear before you send the request.
Hidden Fee 5: Dedicated APIs Have Their Own Credit Costs
ScrapingBee's dedicated APIs can be useful, but they add more pricing branches. The Google Search API costs 10 or 15 credits depending on request type. The ChatGPT API costs 15 credits per request. The Gemini API costs 15 credits per request. Proxy mode also has a special note that Google requests cost 20 credits.
Context.dev keeps web search at 1 credit per result and uses the same published pricing grid for the broader API suite.
Hidden Fee 6: VAT Is Excluded
ScrapingBee states that all prices are exclusive of VAT. That is normal for many SaaS vendors, but it matters when comparing monthly cost in Europe and other VAT jurisdictions.
What Context.dev Gives You That ScrapingBee Does Not
Context.dev is not just a scraping proxy. It is a web context API for products and agents that need to understand companies, websites, and current pages.
LLM-Ready Markdown and Fresh Web Context
Context.dev converts URLs into clean Markdown, rendered HTML, screenshots, images, sitemap URLs, and crawled pages. That matters for LLM systems because raw HTML wastes context on navigation, scripts, boilerplate, and markup. Markdown is easier for agents to reason over and easier to store in RAG pipelines.
ScrapingBee can return Markdown and text too, but its center of gravity is still request parameters around rendering, proxy type, headers, cookies, sessions, and extraction rules. Context.dev optimizes for the downstream product workflow: ask for web context, get a usable representation back.
Schema-Based Structured Extraction
Context.dev's Extract endpoints crawl a page or site and return structured data matched to your JSON Schema. Product extraction has dedicated endpoints for product pages and product catalogs. You do not need to maintain CSS selectors just to turn a pricing page, product page, or documentation page into typed JSON.
ScrapingBee supports CSS/XPath extraction and AI extraction rules. That is valuable, but you still have to think about the base request cost, the JavaScript cost, proxy cost, and the extra AI extraction cost together.
Brand Intelligence in the Same API
Context.dev returns logos, colors, fonts, styleguides, company descriptions, socials, addresses, and other brand fields from domains, company names, emails, or tickers. Logo Link gives product teams a direct logo CDN separate from API credits.
ScrapingBee is not designed to be a logo API, brand data API, or company enrichment API. If your app shows company cards, CRM records, onboarding forms, financial dashboards, partner profiles, or personalized landing pages, you would need another vendor next to ScrapingBee.
Classification and Transaction Identification
Context.dev includes NAICS lookup, SIC lookup, and transaction identification endpoints. That makes it useful for vertical SaaS, fintech, CRM, data enrichment, and internal tools that need more than page content.
ScrapingBee's feature set is deeper around scraping mechanics and dedicated scraper APIs, not company intelligence.
Agent-Friendly Setup
Context.dev exposes official SDKs for TypeScript, Python, Ruby, Go, and PHP, plus MCP support and an agent authentication flow. That means agents and developers can integrate web context directly into AI workflows without choosing a scraper type for every target.
ScrapingBee also lists a Remote MCP integration and gives examples across popular languages. It is a strong developer tool, but its mental model is still "configure a scrape request." Context.dev's mental model is "give the agent useful current context."
Where ScrapingBee Still Wins
ScrapingBee deserves credit for the parts it does well.
Its dedicated scraper APIs are broader than Context.dev's dedicated surfaces. If you need a productized Google Search API, Amazon scraper, Walmart scraper, YouTube scraper, ChatGPT scraper, Gemini scraper, or Fast Search API from the same scraping vendor, ScrapingBee is worth evaluating.
ScrapingBee's proxy mode is also useful if you already have Puppeteer, Selenium, Parsehub, Apify, or another tool wired to a proxy interface and want ScrapingBee to sit behind it. Context.dev is cleaner when you can call the API directly, but ScrapingBee may fit older scraping stacks that already speak proxy mode.
Finally, ScrapingBee exposes a large set of request controls: headers, cookies, session IDs, mobile or desktop devices, wait conditions, screenshot selectors, page-source return, transparent status codes, and custom proxy support. If your engineers want detailed low-level request knobs, ScrapingBee gives them.
Which API Should You Pick?
Choose Context.dev if:
- You are building an AI agent, RAG system, research workflow, company enrichment feature, or product automation that needs current web data.
- You want Markdown, rendered HTML, screenshots, images, sitemaps, crawls, structured JSON, brand profiles, and logos from one vendor.
- You care about predictable cost and do not want JavaScript, premium proxy, stealth proxy, or anti-bot bypass multipliers.
- You need logos, colors, fonts, company data, NAICS/SIC classification, or transaction enrichment alongside scraping.
- You want failed or blocked requests not to consume credits.
Choose ScrapingBee if:
- You need its dedicated scraper APIs for Google, Amazon, YouTube, Walmart, ChatGPT, Gemini, or Fast Search.
- You want proxy mode for an existing third-party scraping tool.
- Your team prefers granular request controls and is comfortable modeling credit multipliers.
- Your workload is mostly traditional HTML fetching and you can disable JavaScript rendering often enough to preserve the 1-credit path.
Bottom Line
Context.dev is the better ScrapingBee alternative for teams building AI products because it prices the outputs teams actually use: Markdown, HTML, crawls, screenshots, schema extraction, brand data, and classification. ScrapingBee is powerful, but its pricing needs a calculator once JavaScript, premium proxies, stealth proxies, and AI extraction enter the request.
If you are comparing scrapingbee.com vs Context.dev for AI agents, start with Context.dev. You will get cleaner output, broader product data, fewer pricing branches, and no hidden stealth or JavaScript credit multipliers.
FAQs
What is the best ScrapingBee alternative for AI agents?
Context.dev is the best ScrapingBee alternative for AI agents when you need LLM-ready Markdown, rendered HTML, full-site crawls, screenshots, structured extraction, and brand intelligence from one API. ScrapingBee is stronger for traditional scraping and dedicated scraper APIs.
Does ScrapingBee have hidden fees?
ScrapingBee's hidden fees are credit multipliers. JavaScript rendering costs 5 credits by default, premium proxy with JavaScript costs 25 credits, stealth proxy with JavaScript costs 75 credits, and AI extraction adds 5 more credits on top of the regular request cost.
Is Context.dev cheaper than ScrapingBee?
For AI and JavaScript-heavy scraping, Context.dev is usually easier to budget because it does not add separate multipliers for JavaScript rendering, anti-bot bypass, or premium proxies. ScrapingBee can be cheaper for simple non-JavaScript pages if you keep requests on the 1-credit path.
Can Context.dev replace ScrapingBee?
Context.dev can replace ScrapingBee for Markdown scraping, rendered HTML, screenshots, crawling, sitemap extraction, AI extraction, and many product-data workflows. It is not a one-to-one replacement for every dedicated ScrapingBee scraper API, such as Amazon or Walmart.
Does Context.dev charge for failed requests?
No. Context.dev's pricing page says failed or blocked requests are not billed, and credits are only consumed on successful responses.